Acevedo Reyes Erick SalvadorEduardo Uscanga202024-12-16T18:21:00Z2025-04-01T20:28:00Z2025-04-01T20:28:00Z8214201781066501849212316782e4a344e77518e74f41640e775a463631101e1ec8e21f7060085e746333584

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2024-03-26T13:48:08Z

Privileged

Public O365

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//////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //4AAP////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////8AAP////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////4AAP////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////8A AP////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////8AAP////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////8AAP////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////8AAP// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////8AAP////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////4AAP////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////8AAP////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////8AAP////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////8AAP////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////8AAP////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////8AAP////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////8AAP////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////8AAP////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////8AAP////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////8AAP////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////4AAP////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //8AAP////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////8AAP////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////8AAP////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////8A AP////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////8AAP////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////8AAP////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////8AAP// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////8AAP////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////8AAP////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////8AAP////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////4AAP////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////4AAAQAAAAnAf//BAAAACcB//8EAAAAJwH//wQA AAAtAQEABAAAAAIBAQAEAAAAJwH//wQAAAAtAQAAAwAAAAAA UNIVERSIDAD LA SALLE

FACULTAD DE NEGOCIOSCon Reconocimiento de Validez Oficial de Estudios de la Secretaría de Educación Pública, según Decreto Presidencial de fecha 29 de mayo de 1987

TESISEfectos del Covid-19 en la economía y mercados financieros en México: Análisis Estatal de los Impactos ante la PandemiaQUE PARA OBTENER EL TÍTULO DELICENCIADO EN INGENIERÍA ECONÓMICA Y FINANCIERA PRESENTA:ERICK SALVADOR ACEVEDO REYESAsesor: Ignacio Hermelindo Otero RubioCiudad de México, Diciembre de 2024

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TI/H3akr8IXjLNy+ZxaWDvo7HnCOw98KzsVnHVfhjk8zEVqXipvfuwGRY1/DS3tb4+IeJZg8vRBn PPIiHjopDAfXzcboCatRfNJZ6Lt6LIbtAq548XGkjvsACwbci5sqJuKVcbtR6u2MB947Ewf+byws 4mOq+Lhw4N24eNuneHFTPIYMaIPk2EDUZK7HdxWn4K2Xz0KqfIXkLBap+59t1tzxu9TRaDQazR+N KZyMOYJ8VFYUev/1Jbx6Xov/FFGyySjOZ40ddDPu7BOtbrzhPDrOARQzAm+KscGhhJkFHj7iiz+/ +8YtOBfQvCnGDMxn3ITSNPw2aFvN8/MThj8HwydDpP5YXjMdy3A4HCqY5Znx/vMN/bfNODNt00Db ZtAcYzjq+lOBDxtWL5Xg8WkSlOCVY3cophz7dzai970P4JmBVmzIqECLPq0QEhSNNt16oGdUKFZ/ PhYTOC1B5ZN/tmT0GRSERcNGSXyjXOmk4aSz+XzYAEQnJiMlVs63wGT0O92DSe9/hDfHZSGtZQSC g0IQGRKEwMAgNY0ha0cJQhwBiOnYCb0aalDbvS9OSIpFj8EnIuVgNjI25YrNIESFBUqpLlTlZWFb bh1qa+vh4bRzYc5no/BNFmeXV+DAxv0oCwyQHBUorYlD34GGj+PpI0LR4/wzcZJlP+bM34b1q5bh 25X5qMkvR7V8nc32OB7RI7cajUbzX4LjixyFVaONEqirjnyNqy9IQkmh0rG7Ml4By1FKjjoyjiOz FAFeuE1RK3bMjo0jt0dqNqM8om5wMf8ZUQr6ZXp4GBrx989/32EoEM19/oKRcT+W54dgHv/RWIpR fztc94839x3Npn8+E3M0meLXP8+P+aT5HTn6KXEkZpqjHBLuUq8O/qVIlqPnMgpRn/LxY2eBkb+p FX6bjg5PP5X60HnI74dvtQnGuezbOAL/yMPrtKPOWf9z+Ed8ac5ocavRaDT/JQ7/8fV1YuyXmnRF RudmpPQlMdL4kpn7Vacm64YobWLHb/UwRjpz51GTHErjz9FT/tH8mGDVaJojR7sQ+yn098NAi1uN RqPRaDQaTTMB+H/s+ng+YfJ/SgAAAABJRU5ErkJggk==

Tabla de contenido

TOC \o "1-3" \h \z \u

IntroducciónCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOAA4AAAA PAGEREF _Toc180489988 \h 1

HipótesisCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOAA5AAAA PAGEREF _Toc180489989 \h 2

Objetivo generalCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOQAwAAAA PAGEREF _Toc180489990 \h 2

Objetivos específicosCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOQAxAAAA PAGEREF _Toc180489991 \h 3

EstructuraCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOQAyAAAA PAGEREF _Toc180489992 \h 3

Marco del Covid-19 en MéxicoCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOQAzAAAA PAGEREF _Toc180489993 \h 5

1.1

Contexto global del Covid-19CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOQA0AAAA PAGEREF _Toc180489994 \h 5

1.1.1

Origen y propagación del virusCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOQA1AAAA PAGEREF _Toc180489995 \h 5

1.1.2

Cronología global del Covid-19CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOQA2AAAA PAGEREF _Toc180489996 \h 6

1.2

Contexto del Covid-19 en MéxicoCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOQA3AAAA PAGEREF _Toc180489997 \h 10

Efectos económicos del Covid-19 en MéxicoCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOQA4AAAA PAGEREF _Toc180489998 \h 13

2.1

Producto interno bruto (PIB)CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOAA5ADkAOQA5AAAA PAGEREF _Toc180489999 \h 13

2.2

Balanza ComercialCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMAAwAAAA PAGEREF _Toc180490000 \h 17

2.2.1

ExportacionesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMAAxAAAA PAGEREF _Toc180490001 \h 17

2.2.2

ImportacionesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMAAyAAAA PAGEREF _Toc180490002 \h 18

2.3

InflaciónCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMAAzAAAA PAGEREF _Toc180490003 \h 18

2.4

Empleo en MéxicoCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMAA0AAAA PAGEREF _Toc180490004 \h 21

2.5

ConsumoCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMAA1AAAA PAGEREF _Toc180490005 \h 24

2.6

Indicador Global de Actividad EconómicaCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMAA2AAAA PAGEREF _Toc180490006 \h 28

2.7

Tipo de cambioCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMAA3AAAA PAGEREF _Toc180490007 \h 30

2.7.1

USD/MXNCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMAA4AAAA PAGEREF _Toc180490008 \h 31

2.8

Tasa objetivoCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMAA5AAAA PAGEREF _Toc180490009 \h 32

2.9

Índice de Precios y CotizacionesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMQAwAAAA PAGEREF _Toc180490010 \h 34

Revisión de literaturaCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMQAxAAAA PAGEREF _Toc180490011 \h 36

MetodologíaCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMQAyAAAA PAGEREF _Toc180490012 \h 38

4.1

Definición y Concepto de Índices CompuestosCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMQAzAAAA PAGEREF _Toc180490013 \h 38

4.2

Importancia y Utilidad de los Índices CompuestosCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMQA0AAAA PAGEREF _Toc180490014 \h 39

4.3

Ventajas y Limitaciones de los Índices CompuestosCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMQA1AAAA PAGEREF _Toc180490015 \h 40

4.4

Metodología para la construcción de Índices CompuestosCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMQA2AAAA PAGEREF _Toc180490016 \h 41

4.5

Metodologías para el cálculo de ponderadoresCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMQA3AAAA PAGEREF _Toc180490017 \h 44

4.6

Introducción al Análisis de Componentes PrincipalesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMQA4AAAA PAGEREF _Toc180490018 \h 46

4.7

Desarrollo y creación de los componentes principalesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMQA5AAAA PAGEREF _Toc180490019 \h 47

4.8

Selección de los componentesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMgAwAAAA PAGEREF _Toc180490020 \h 49

Índice sobre el Desempeño de MéxicoCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMgAxAAAA PAGEREF _Toc180490021 \h 51

5.1

Selección de variablesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMgAyAAAA PAGEREF _Toc180490022 \h 51

5.2

Análisis Multivariado: ACPCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMgAzAAAA PAGEREF _Toc180490023 \h 53

5.2.1

Matriz de correlacionesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMgA0AAAA PAGEREF _Toc180490024 \h 54

5.2.2

Scree PlotCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMgA1AAAA PAGEREF _Toc180490025 \h 56

5.3

Normalización de los datosCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMgA2AAAA PAGEREF _Toc180490026 \h 58

5.4

Ponderación y agregaciónCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMgA3AAAA PAGEREF _Toc180490027 \h 58

5.5

Visualización de resultadosCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMgA4AAAA PAGEREF _Toc180490028 \h 61

Conclusiones y consideraciones finalesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMgA5AAAA PAGEREF _Toc180490029 \h 63

6.1

Discusión de resultadosCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMwAwAAAA PAGEREF _Toc180490030 \h 63

6.2

ConclusionesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMwAxAAAA PAGEREF _Toc180490031 \h 66

6.3

Consideraciones FinalesCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMwAyAAAA PAGEREF _Toc180490032 \h 67

Bibliografía y ReferenciasCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEAOAAwADQAOQAwADAAMwAzAAAA PAGEREF _Toc180490033 \h 68

Índice de figuras

TOC \h \z \c "Figura"

Figura 1 Nuevos casos a nivel mundial de Covid-19

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcAMwA5AAAA

PAGEREF _Toc176204739 \h

Figura 2 Muertes diarias por Covid-19 a nivel mundial

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANAAwAAAA

PAGEREF _Toc176204740 \h

Figura 3 Vacunaciones nuevas globales Covid-19

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANAAxAAAA

PAGEREF _Toc176204741 \h

Figura 4 Olas de Contagios Covid-19 en México

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANAAyAAAA

PAGEREF _Toc176204742 \h

Figura 5 PIB Total (Variación Anual)

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANAAzAAAA

PAGEREF _Toc176204743 \h

Figura 6 Demanda Agregada (Variación Anual)

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANAA0AAAA

PAGEREF _Toc176204744 \h

Figura 7 Exportaciones (Variación Anual)

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANAA1AAAA

PAGEREF _Toc176204745 \h

Figura 8 Importaciones (Variación Anual)

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANAA2AAAA

PAGEREF _Toc176204746 \h

Figura 9 Inflación anual desagregada

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANAA3AAAA

PAGEREF _Toc176204747 \h

Figura 10 Inflación anual general

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANAA4AAAA

PAGEREF _Toc176204748 \h

Figura 11 Tasa de desempleo

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANAA5AAAA

PAGEREF _Toc176204749 \h

Figura 12 Tasa de informalidad

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANQAwAAAA

PAGEREF _Toc176204750 \h

Figura 13 Empleo formal

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANQAxAAAA

PAGEREF _Toc176204751 \h

Figura 14 Confianza del consumidor (Variación anual)

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANQAyAAAA

PAGEREF _Toc176204752 \h

Figura 15 Comercio al por menor (Variación anual)

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANQAzAAAA

PAGEREF _Toc176204753 \h

Figura 16 Consumo Privado (Variación anual)

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANQA0AAAA

PAGEREF _Toc176204754 \h

Figura 17 IGAE (Variación anual)

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANQA1AAAA

PAGEREF _Toc176204755 \h

Figura 18 Tipo de cambio (USD/MXN)

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANQA2AAAA

PAGEREF _Toc176204756 \h

Figura 19 Tasa de referencia

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANQA3AAAA

PAGEREF _Toc176204757 \h

Figura 20 Índice de Precios y Cotizaciones

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANQA4AAAA

PAGEREF _Toc176204758 \h

Figura 21 Scree Plot (Ejemplo)

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANQA5AAAA

PAGEREF _Toc176204759 \h

Figura 22 Matrices de correlaciones

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANgAwAAAA

PAGEREF _Toc176204760 \h

Figura 23 Indicadores de desempeño económico

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANgAxAAAA

PAGEREF _Toc176204761 \h

Figura 24 IDM redimensión de las diferencias anuales absolutas

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANgAyAAAA

PAGEREF _Toc176204762 \h

Figura 25 IDE cuartiles 2020

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANgAzAAAA

PAGEREF _Toc176204763 \h

Lista de tablas

TOC \h \z \c "Tabla"

Tabla 1 Casos confirmados al 26 de febrero de 2020 por país

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANgA0AAAA

PAGEREF _Toc176204764 \h

Tabla 2 Olas de Contagios Covid-19 en México

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANgA1AAAA

PAGEREF _Toc176204765 \h

Tabla 3 Ventajas y desventajas de los índices compuestos

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANgA2AAAA

PAGEREF _Toc176204766 \h

Tabla 4 Variables seleccionadas

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANgA3AAAA

PAGEREF _Toc176204767 \h

Tabla 5 Varianza explicada por componente principal

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANgA4AAAA

PAGEREF _Toc176204768 \h

Tabla 6 Ponderadores del CP1

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANgA5AAAA

PAGEREF _Toc176204769 \h

Tabla 7 IDE promedio 2015

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANwAwAAAA

PAGEREF _Toc176204770 \h

Tabla 8 IDE promedio 2020

CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANwA2ADIAMAA0ADcANwAxAAAA

PAGEREF _Toc176204771 \h

PAGE \* MERGEFORMAT2

Introducción

A lo largo de su historia, la humanidad ha experimentado diversas pandemias, pero cada una de ellas se ha vivido de forma diferente debido al entorno particular del momento histórico en el que ocurrieron, por lo que el impacto de dichas pandemias ha variado significativamente.

En el año 2020

comienza

por sorpresa

pandemia

Covid-19

que se

fue

propag

ando

con

gran

rapidez, lo que

fue

provoc

ando

una gran cantidad de

muertes

a pesar de estar catalogado

en un principio

como un virus de baja letalidad y a su

vez se logró

esparcir alrededor de todo el mundo.

ingún ente económico (empresas, gobiernos y hogares) se encontraba preparado para afrontar este fenómeno, lo que

ocasionó

un deterioro importante en las economías de todo el mundo y de México. Por tal motivo, esta investigación busca contribuir al estudio y representación detallada de los efectos en la economía y los mercados financieros de México

sus entidades federativas

derivados de la pandemia

de Covid-19

Debido a la relevancia

y magnitud

del fenómeno, e

xisten

diversos estudios que analizan los impactos económicos de la pandemia por Covid-19 en México

, algunos ejemplos son

“

Los impactos económicos de la pandemia en México

”

(Esquivel, 2020)

donde

se describen

los múltiples efectos de la crisis sanitaria sobre la actividad económica, el consumo, el empleo y la pobreza en el país.

Se a

naliza

la profundidad de la recesión provocada por la pandemia y la insuficiencia de las medidas fiscales y monetarias adoptadas por el gobierno para contrarrestar la caída de la demanda agregada.

También en el estudio

“

La pandemia de COVID-19 en la economía mexicana: condiciones iniciales, estrategias de política y efectos productivos

”

(Mejía, Reyes, & Vergara, 2022)

explica la magnitud de la caída en la actividad productiva y las dificultades para recuperar la senda de crecimiento,

atribuy

tanto a la pandemia y su persistencia como a la política económica adoptada para combatirla.

Otro ejemplo es,

“

El impacto de la covid-19 en la economía mexicana. Boletín Económico de ICE

”

(Pastor & Laredo, 2020)

que

analiza el impacto de

Covid-19 en la economía mexicana, abordando aspectos como la caída del PIB, el aumento del desempleo y la reducción del consumo.

Y por último el documento

“

Política económica y Covid-19 en México en 2020

”

(Provencio, 2020)

donde

examina la política económica y social implementada por el gobierno mexicano durante la pandemia.

Lo que tienen en común estas investigaciones con muchas otras es que en su gran mayoría se centran únicamente en la economía a nivel nacional,

dejando de lado las particularidades entre las entidades federativas

del país

Por lo que

la hora de buscar estudios con mayor granularidad. Si bien

existen ciertos estudios para estados

o regiones

en particular

existen muy pocos

que comparen l

s 32

estados

. Por lo

anterior,

estudio

presente

busca llenar ese vacío al examinar de manera comparativa los impactos

del

Covid-19 en los indicadores económicos y financieros de cada estado. E

ste

enfoque permit

una comprensión más profunda de cómo la pandemia ha afectado de manera diferenciada a las economías estatales

y si existe alguna relación entre ellas

Hipótesis

La pandemia de COVID-19 ha tenido un impacto adverso

profundo

en la economía y los mercados financieros de las entidades federativas de México

además

existe

una relación

entre

os estados

que registraron los mayores efectos económicos

en cuanto a la estructura de sus economías y la localización

geográfica

estos

Objetivo general

Analizar el impacto adverso de la pandemia de COVID-19 en la economía y los mercados financieros de las entidades federativas de México, así como identificar y evaluar la relación entre l

os estados

que registraron los mayores efec

tos

económicos

en cuanto a la estructura de sus economías y la localización geográfica de estos

Objetivos específicos

Para conseguir el objetivo antes mencionado

se realiza lo siguiente

Examinar los impactos de la pandemia en los principales indicadores económicos y financieros

del país

, como el PIB, la inflación, el empleo, el consumo, entre otros.

Construir un

indicador

compuesto que integre la información de múltiples variables, permitiendo una evaluación sintética y comparativa del desempeño económico y financiero de los estados durante la pandemia.

Identificar la magnitud en que la crisis afectó a las e

ntidades federativas

y encontrar una relación entre ellas

Estructura

Esta investigación emplea el

método de

nálisis de

omponentes

rincipales

para construir un índice compuesto que mid

el impacto económico de la pandemia de

COVID-19 en las entidades federativas de México. El ACP se

utiliza

porque permite sintetizar información de múltiples variables económicas en un solo indicador, capturando

así

la naturaleza multidimensional del impacto. Se aplica a 1

indicadores económicos, determinando objetivamente la importancia de cada variable basada en su contribución a la varianza total.

primera sección

present

la introducción, el objetivo general, los objetivos específicos y la hipótesis de la investigación.

primer

capítulo se enfoca en explicar el desarrollo de la pandemia

del

Covid-19 tanto a nivel global como en México, abordando aspectos como los contagios, decesos y vacunaciones. Asimismo, se discuten los efectos de

Covid-19 en la sociedad y se presentan ejemplos de las medidas impuestas o recomendadas por los gobiernos para contener la propagación del virus.

En el

segundo

capítulo, se realiza un análisis

exploratorio a nivel nacional

de los impactos de la pandemia en diversos indicadores macroeconómicos y financieros de México. Se recopilan y examinan datos relevantes para comprender cómo la crisis sanitaria ha afectado la economía del país.

En el

tercer

capítulo se discute acerca de investigaciones que se han desarrollado

para medir el impacto económico del Covid-19 en algunos de los estados de la república

cuarto

capítulo se dedica a

la metodología,

al dar

una

explicación de

que son

los

indicadores

ompuestos. Se discute su importancia, utilidad, ventajas y limitaciones como herramientas para sintetizar información multidimensional. Asimismo,

presenta

algunas

metodología

para la construcción de estos

indicadores

s adelante

profundiza en la técnica del Análisis de Componentes Principales.

Donde se

xplica su desarrollo,

cómo se crean

los componentes

principales

y los criterios para

seleccionar

estos

. Este capítulo sienta las bases teóricas para la aplicación práctica del ACP en la construcción del

indicador

compuesto

quinto

capítulo se centra en la aplicación de

la metodología

de Análisis de Componentes Principales para

la construcción

indicador

sintético a partir de las variables

que se muestran

en el segundo capítulo

, pero

a nivel estatal

. Se detallan los pasos

a seguir

en la construcción del índice y

presenta

los resultados obtenidos.

sexto

capítulo expone

resultados y

las conclusiones derivadas del estudio realizado

iscute los hallazgos más relevantes sobre los efectos de la pandemia en la economía y mercados financieros de

las entidades federativas del país

, así como la utilidad del

indicador

compuesto

construido.

Por último, el

séptimo

capitulo contiene todas las referencias utilizadas para el desarrollo de

tesis.

Marco del Covid-19 en México

Contexto global del Covid-19

Origen y propagación del virus

Según el

Comité Nacional de Vigilancia Epidemiológica

(2020):

os coronavirus son una familia de

virus que circulan entre humanos y

animales (gatos, camellos,

quirópteros,

etc.

). Se han descrito

coronavirus que evolucionan y

desarrollan la capacidad de

transmitirse de animales a humanos y

propagarse

entre las personas, como

es el caso del Síndrome Respiratorio

Agudo Severo y el Síndrome

Respiratorio de Oriente Medio.

La pandemia de 2019 fue ocasionada por el

corona

virus SARS-CoV-2

, el cual provoca la enfermedad respiratoria llamada COVID-19 y

fue

identificado

por primera vez en la ciudad de Wuhan, provincia de

Hubei, China

l 31 de diciembre de 2019,

fecha en que las

autoridades

de salud de Wuhan reportaron

27 casos de

personas con

síndrome respiratorio agudo

origen

desconocid

pero posiblemente

inculados

con

un mercado

local

de mariscos y animales.

Una semana más tarde

l 7 de enero de 2020, las autoridades chinas

informaron la presencia de un

nuevo

coronavirus

(2019-nCoV) identificado como

posible

origen

de dicho síndrome y e

l 1

de enero de 2020

fue reportada

la primera defunci

ón por esta enfermedad en China.

os días más tarde

el Ministerio de Salud Pública de Tailandia

reportó

el primer caso importado en

su país

y el

21 de enero

, los c

entros para el control y la prevención de enfermedades

informaron

el primer caso

confirmado

en Estados Unidos.

l 30 de enero de 2020

, un mes después del primer caso reportado de Covid-19,

se dicta

la Declaratoria de Emergencia de Salud Pública

por parte de la Organización Mundial de la Salud

y dos meses después, el 11 de marzo de 2020,

fue declarad

oficialmente

el inicio de

pandemia

COVID-19

Cronología global del Covid-19

Como se muestra en

la Figura

esde el comienzo de 2020 y hasta junio de 2023 existieron seis grandes olas de contagios

derivadas principalmente por nuevas variantes del virus y condiciones climatológicas

que

habían

favorec

ido

la propagación

de este

abe resaltar que el número de olas y la magnitud de estas

varió

pendiendo del

país.Figura 1

Nota.

Adaptado de

Our World in Data, 2023, https://ourworldindata.org/

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Nuevos casos a nivel mundial de Covid-19

La primera ola

que

comenzó

finales de 2019

cuando

el virus

había iniciado

a propagarse

mundial

mente.

n abril

de 2020,

empezó

a descender,

aunque

existían

más de 2,000,000 de

casos de

contagios

en el mundo por lo que

varios países comenzaron a tomar med

idas de prevención y contención.

ntre las más comunes destaca

ron

Cuarentenas y confinamientos: Se implement

aron

para limitar la movilidad de las personas y evitar la propagación del virus. Esto implicaba el cierre de

actividades no esenciales (

actividades

que no son

consideradas de vital importancia para el funcionamiento óptimo del país

)

y restricciones en la circulación de las personas

par

a evitar aglomeraciones en lugares públicos

. En los casos más severos

estas medidas eran obligatorias.

el caso particular de

México

estas medidas fueron obligatorias

únicamente

en el caso de las actividades no esenciales

sin

embargo,

las personas tenían la libertad de salir a lugares públicos, aunque no lo recomendaba el gobierno.

Cierre de fronteras: Varios países cerraron sus fronteras a

viajeros internacionales

y comerciantes

para evitar la

llegada

de casos de COVID-19.

Esto incentiv

a que

algunos países simplificar

procedimientos aduaneros para facilitar el transporte de ciertas mercancías

y así mitigar el impacto

en sus balanzas comerciales

Uso de mascarillas: Se instó

en algunos casos

se obligó a la población a usar mascarillas en espacios públicos para reducir la propagación del virus.

Distanciamiento social: Se implementaron medidas para mantener el distanciamiento físico entre las personas en lugares públicos, incluidos negocios y transporte público.

Restricciones en reuniones y eventos: Se prohibieron o limitaron las reuniones masivas y eventos públicos para evitar la propagación del virus.

Cierre de escuelas y universidades: Muchos países cerraron temporalmente escuelas y universidades para evitar

los contagios.

Aumento de pruebas y rastreo de contactos: Se intensificaron las pruebas de detección de COVID-19 y el rastreo de contactos para identificar y aislar rápidamente a las personas infectadas y

sus contactos cercanos.

Impulso a la investigación y desarrollo de vacunas y tratamientos: Los países trabajaron

conjuntamente

el desarrollo y aprobación acelerada de

vacunas y tratamientos contra

COVID-19.

En septiembre de 2020, según datos de la Organización Mundial de la Salud

(OMS, 2020)

en sus reportes de actualización epidemiológica

primer

variante

denominada

Alfa emergió en Reino Unido y provocó un aumento en los nuevos casos

, ello provocó

la segunda ola de contagios

ya que la transmisión de esta era

entre 30

% y

90% mayor

en comparación con otras variantes

. Por otro lado, la mortalidad de esta variante era

64%

mayor

al resto de variantes

lo que provocó los niveles más altos

muertes

durante toda la pandemia (

Figura

Aunque afortunadamente e

ste

aumento de muertes coincidió

con la llegada de las primeras vacunas contra

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Muertes diarias por Covid-19 a nivel mundial

Nota. Adaptado de

Our World in Data, 2023, https://ourworldindata.org/

El 11 de diciembre de 2020 la

Administración de Alimentos y Medicamentos

Estados Unidos

aprobó la primera

vacuna

contra el

SARS-CoV-2

llamada

Comirnaty

desarrollada por

los laboratorios

Pfizer-BioNTech

y poco

más tarde el 23 de diciembre

la vacuna

fue aprobada

en México por la COFEPRIS

A pesar de las

campañas de vacunación

masivas, los contagios

contin

uaron durante todo el 2020

y el virus siguió con su evolución natural,

provocando

que surgier

nuevas variantes, entre la

que destaca la

variante

Delta

, misma que provoc

la tercera ola de contagios a nivel mundial

debido a que

contaba con

ayor

facilidad de transmisión

, severidad y escape

la inmunidad natural y artificial

(vacunas)

A pesar de

que

la tercera ola fue

menos pronunciada en cuanto a nuevos casos y las vacunaciones avanzaban a un ritmo bastante alto

(

Figura

, las muertes estuvieron cerca de

los

niveles

registrados

la ola anterior

en la

que

no se contaba con ningún tipo de

defensa ante

la enfermedad.Figura 3

Vacunaciones nuevas globales Covid-19

Nota. Adaptado de

Our World in Data, 2023, https://ourworldindata.org/

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La cuarta ola de

contagios

sucedió

a inicios del año 2022

la principal culpable de este pico

de contagios

fue la variante

Ómicron

que

se caracterizó por

la reinfección en personas que ya habían adquirido el virus.

or último, la quinta ola

ocurrió en

el invierno de 2022

que

aunque no fue

prolongada

;

fue

bastante

pronunciada.

La pandemia por C

OVID

-19

fue declarada como

terminada el 5 de mayo de 2023, sin

embargo,

fue aclarado

que

el final de esta

no significaba que el Covid-19

hubiera

dejado de ser una amenaza para la salud mundial.

Contexto del Covid-19 en México

En México

, el 23 de enero de 2020

la Dirección General de Epidemiología

(2020)

en su aviso epidemiológico

emitió un Aviso Preventivo de Viaje a China

en el que

se sugería evitar

en dado caso

posponer viajes no esenciales

. Un mes más tarde

de febrero de 2020

habían reportado casos por el

SARS-CoV-2

en 3

países

(

excluyendo China

)

de las seis regiones administrativas de la OMS (Tabla 1

)

Tabla 1

Casos confirmados al 26 de febrero de 2020 por país

Nota. En el caso de Japón 164 casos confirmados y 691 casos identificados en un crucero internacional en aguas territoriales japonesas. Tomado de Aviso Epidemiológico CONAVE/02/2020 /2019-nCov, Comité Nacional de Vigilancia Epidemiológica, 2020. 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Un día después

, el 27 de febrero de

2020,

México se

unió

a esta lista con

primer caso confirmado

y el 16 de marzo de 2020

la Secretaría de Educación Pública suspendió clases

en todos los niveles educativos.

Al igual que

el panorama global

en México hubo temporadas con altos números de casos confirmados. De

acuerdo con el informe integral de Covid-19 elaborado por la Secretar

a de Salu

d (202

)

durante la pandemia

en México se ident

ificaron seis olas de contagios,

las cuales tuvieron diferentes comportamientos

(Tabla 2

Figura

)

Así, puede observarse que la segunda ola fue la de mayor duración y que la cuarta ola

tuvo el

mayor número de contagios por día

.Tabla 2

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Olas de Contagios Covid-19 en México

Nota. Adaptado de

Informe Integral de Covid-19 en México 4 de mayo

Secretaría de Salud

202

Figura 4

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Olas de Contagios Covid-19 en México

Nota. Adaptado de

Our World in Data, 2023, https://ourworldindata.org/

Efectos económicos del Covid-19 en México

ado que se busca medir los impactos de la pandemia en la economía de México es necesario

elaborar un análisis exploratorio de

indicadores

que

permitan

estudiar

la realidad económica y

financiera

que se vivió en el país.

Producto interno bruto (PIB)

Según

Dornbusch

(201

), el

producto interno bruto

se define como

valor monetario de los bienes y servicios finales producidos por un país en un período determinado

y cuenta todo el producto generado dentro de las fronteras

de un país

Es decir,

epresenta una medida integral de la actividad económica de un país.

El PIB

es sumamente importante porque

es una medida clave para evaluar la salud económica de un país y su desarrollo.

Existen varios métodos para el cálculo del PIB

de un país;

sin embargo

, esta investigación

se centra

el método del gasto,

el cual

se basa en la suma de

l consumo (C), la inversión (I), el gasto público (G)

y las exportaciones netas (X - M)

del país en cuestión

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El c

onsumo (C)

la cantidad total de bienes y servicios comprados por los hogares en un período determinado. Incluye bienes de consumo duraderos (automóviles, electrodomésticos), bienes no duraderos (alimentos, ropa) y servicios (educación, salud, transporte).

La i

nversión (I)

epresent

a el gasto en bienes de capital,

como maquinaria,

equipo, edificios y tecnología,

que se utilizan para producir otros bienes y servicios. La inversión también incluye el gasto en inventarios y la construcción de nuevas viviendas.

El gasto público (G) r

efleja

el gasto realizado por el gobierno en bienes y servicios.

ncluye gastos en infraestructura, educación, salud, defensa y otros servicios públicos.

Es necesario tener en cuenta que n

o incluye transferencias de

efectivo (como pensiones o subsidios)

porque

no representan

una

adquisición de bienes o servicios.

Las exportaciones netas (X - M)

se calculan restando las importaciones (M) de las exportaciones (X). Las exportaciones son bienes y servicios producidos en el país y vendidos en el extranjero

;

mientras que las importaciones son bienes y servicios producidos en el extranjero y comprados en el país.

Si las exportaciones (X) son mayores que las importaciones (M),

hay un

superávit comercial y contribuyen positivamente al

total

PIB.

Pero s

i las importaciones (M) son mayores que las exportaciones (X), hay un déficit comercial y contribuyen negativamente al

total

PIB.

Una vez

que ha sido explicada

función

y el cálculo del PIB,

queda claro

que

es un indicador sumamente completo que permite obtener una medida de

la productividad

que ha tenido un

país en un determinado período

Centrándose

en el fenómeno de la pandemia

ebido a

profundidad y velocidad de propagación de

Covid-19

se tomaron diversas

medidas

que ocasionaron

un choque sin precedentes para la economía mundial

En todo el mundo existía una enorme incertidumbre sobre la forma y el plazo de la recuperación económica debido a lo inusitado de la situación, así como por el limitado conocimiento de la enfermedad y de las posibles respuestas de

los

organismos

gubernamentales

del área de la salud

en ese momento.

En el caso de México

el impacto

en la actividad económica

de la

pandemia

fue particularmente intenso,

ya que

además de

experimentar los

efectos

económicos provocados por la pandemia,

como cierres

y restricciones de actividades no esenciales

; medidas preventivas

que,

si bien

eran necesarias para evitar la propagación del virus, provocaron

una parálisis

casi total

de actividades en

diversos

sectores

económicos

. A

unado a lo anterior,

a economía nacional ya

presentaba

una tendencia

e recesión,

reflejado

una

contracción de

.8% en el segundo trimestre de 2020

(

Figura

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Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

PIB Total (Variación Anual)

Dentro de

los componentes de la demanda agregada en México. La inversión

fue

afectada debido a la incertidumbre económica, la disrupción de las cadenas de suministro y la reducción de la confianza empresarial. Muchas empresas pospusieron o cancelaron sus planes de inversión, lo que contribuyó a una disminución

del 20.8% en el segundo trimestre de 2020

. En cuanto a las exportaciones

presentaron una variación de -32.6%

, la desaceleración de la economía global y las interrupciones en el comercio internacional provocaron una caída en la demanda externa de bienes y servicios mexicanos. Esto fue particularmente evidente en sectores clave como la industria automotriz y la

manufacturera

l consumo privado, que es el componente

con más participación en

el PIB

se redujo en 21.7% en el mismo periodo

principalmente

se vio afectado por la pérdida de empleos, la reducción de los ingresos y la incertidumbre sobre el futuro. La disminución del consumo fue especialmente pronunciada en sectores como el turismo, la hostelería y el comercio minorista, que fueron directamente

impactados por las medidas de confinamiento y las restricciones a la movilidad.

En contraste

los demás componentes, el gasto público no se contrajo significativamente.Figura 6

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

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Demanda Agregada (Variación Anual)

Aunque el gobierno mexicano y el Banco de México adoptaron medidas para mitigar los efectos e

conómicos de la pandemia, l

Organización para la Cooperación y el Desarrollo Económicos

(

OCDE

, 2020

)

menciona en su reporte de Perspectivas Económicas algunas críticas que sugieren que estas acciones fueron limitadas en comparación con las respuestas fiscal

es y monetarias en otros países

lo que supone que

sta situación

pudo

contribui

a la profundidad de la recesión

económica

que experimentó México

Balanza Comercial

Exportaciones

Para las exportaciones como

explica

anteriormente

la contracción

más profunda

fue registrada

en el 2T20, sin embargo, para

obtener una mejor visión,

a continuación, se muestra el

indicador mensual que permite tener mayor frecuencia del

indicador.

Como se observa en la Figura 7 desde marzo hasta

agosto

2020

las exportaciones presentaron un retroceso en cada uno de los meses, siendo mayo donde se observó el peor desempeño del

indicador

con una caída d

56.6

%. Como ya se

mencionó

este indicador fue de los más afectados pues las medidas ante la pandemia afectaron gravemente al comercio internacional.Figura 7

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

Exportaciones (Variación Anual)

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Importaciones

Parecido a lo

que se observa

en las exportaciones,

las importaciones

ligaron 10 meses con variaciones anuales negativas y en mayo de 2020 también tuvieron su peor desempeño, con una

variación de

-47.1%

respecto al mismo periodo del año anterior

. Figura 8

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

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Importaciones (Variación Anual)

Inflación

El INEGI (2018)

define la inflación en su metodología

como el aumento sostenido y generaliz

ado

en los precios de los bienes y servicios, reflejado en el Índice Nacional de Precios al Consumidor.

El INPC está compuesto por una canasta básica de bienes y servicios, con un total de 29

genéricos que representan el consumo habitual de los hogares mexicanos.

ara un análisis más específico de las presiones inflacionarias

os elementos de la canasta

se dividen en dos categorías principales

Genéricos

subyacente

Se considera un mejor indicador de la trayectoria a mediano y largo plazo de la inflación, ya que excluye los precios de ciertos bienes y servicios que son

muy

volátiles o que su cambio responde a factor

es ajenos a la demanda agregada

como los productos agropecuarios

, energéticos y

las tarifas

autorizadas por el gobierno

Genéricos

no subyacente

: Incluye los precios de bienes y servicios que pueden ser influenciados por factores externos como el clima o los mercados internacionales como los alimentos frescos, combustibles y energía. Esta

categoría es particularmente sensible a los shocks de oferta y, por tanto, es más volátil.

La volatilidad

que se menciona

en las dos categorías se observa en

Figura

.Figura 9

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

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Inflación anual desagregada

Los cambios en la inflación subyacente

reflejan

las condiciones económicas fundamentales y la efectividad de las políticas económicas, mientras que los cambios en la inflación no subyacente

por su volatilidad no muestran directamente

los mismos factores que

la subyacente, sin embargo,

sí

ayudan a

ide

ntificar

cambios

drásticos

en la oferta y la demanda.

Como se

muestra en

figura

, hubo

un crecimiento sostenido en la inflación general a

partir de abril de 2020 (2.1%)

y a pesar de algunos periodos donde se observan reducciones

la tendencia se mant

uvo hasta septiembre de 2022,

periodo en el que comenzó un descenso. La inflación general llegó a un máximo de 8.7%

septiembre y agosto de 2022.

Figura 10

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

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Inflación anual general

Empleo en México

El empleo

la utilización de mano de obra

y que

a través de varias métricas refleja di

versos

aspectos del mercado laboral.

Aunque h

diversos

datos estadísticos que se emiten para

el empleo en

México,

para este estudio se

van a tomar

en cuenta

los siguientes indicadores

de la Encuesta Nacional de Ocupación y Empleo

del Instituto Nacional de Estadística y Geografía

(INEGI, 2024)

y del Instituto Mexicano del Seguro Social

(IMSS, 2024)

Informalidad

Es definido como el

trabajo no protegido en la actividad agropecuaria, el servicio doméstico remunerado no protegido y

también incluye a

los trabajadores quienes, aunque trabajan para unidades económicas formales, lo hacen sin seguridad social.

(INEGI, 2024)

Tasa

de desempleo

: Es el porcentaje de la fuerza laboral total que está desempleada pero dispuesta y capaz de trabajar, y que ha buscado activamente empleo durante el periodo de referencia.

Empleo formal (r

egistrados en el IMSS)

: Son aquellos trabajadores que están oficialmente registrados ante el

IMSS

y por lo tanto tienen acceso a beneficios de seguridad social. Este registro es obligatorio para los empleadores y proporciona una medida de la cantidad de empleo en el sector formal de la economía.

La evaluación detallada de estos indicadores

permite

elaborar

un análisis más profundo de cómo la pandemia

afectó

el bienestar económico,

la estabilidad,

el consumo

y, en consecuencia, la economía en general

Por ejemplo,

un aumento

informalidad laboral

que

uede

reflejar un deterioro de la calidad del empleo.

Por otro lado, u

n aumento en la tasa de desempleo es indicativo de un mercado laboral en contracción. Las tasas de desempleo

elevadas

se asocian con una menor producción

económica, pobreza incrementada

y reducción en el bienestar psicológico y físico de las personas (Dooley, Fielding & Levi, 1996).

También,

reducci

en el

empleo formal representa

no solo una pérdida de ingresos para los trabajadores

sino también una disminución en la seguridad

social

y a

largo plazo, esto p

uede

tener implicaciones negativas para la inversión en salud y educación y

por ende, en el capital humano del país.

Debido a l

as medidas de confinamiento, la desaceleración económica

y la incertidumbre general

que se vivió durante la pandemia de la Covid-19

el empleo y la calidad de este

se vieron afectados

Al comienzo de la pandemia, muchas empresas cerraron

de manera

temporal o definitivamente

lo que se tradujo

en una pérdida masiva de empleos, especialmente en sectores

que dependían de actividades presenciales

. Esto llevó a

aumento en la tasa de desempleo

en el transcurso de 2020 que para julio se ubicó en

un nivel tan alto no se había registrado

desde agosto de 2011

medida

que

se levantaron las restricciones y algunas industrias comenzaron a recuperarse, hubo una mejora gradual en el empleo. Esto se

reflejó

en la reducción de la tasa de desempleo

para periodos posteriores

(

igura

)

Figura 11

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

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IJBPAEMznw13IAABCEAAAhCAAAQgAAEIQKAAAQzNAtAIAgEIQAACEIAABCAAAQhAAAL5BDA089lw BwIQgAAEIAABCEAAAhCAAAQKEMDQLACNIBCAAAQgAAEIQAACEIAABCCQTwBDM58NdyAAAQhAAAIQ gAAEIAABCECgAAEMzQLQCAIBCEAAAhCAAAQgAAEIQAAC+QQwNPPZcAcCEIAABCAAAQhAAAIQgAAE ChDA0CwAjSAQgAAEIAABCEAAAhCAAAQgkE8AQzOfDXcgAAEIQAACEIAABCAAAQhAoAABDM0C0AgC AQhAAAIQgAAEIAABCEAAAvkEMDTz2XAHAhCAAAQgAAEIQAACEIAABAoQwNAsAI0gEIAABCAAAQhA AAIQgAAEIJBPAEMznw13IAABCEAAAhCAAAQgAAEIQKAAAQzNAtAIAgEIQAACEIAABCAAAQhAAAL5 BDA089lwBwIQgAAEIAABCEAAAhCAAAQKEMDQLACNIBCAAAQgAAEIQAACEIAABCCQTwBDM58NdyAA AQhAAAIQgAAEIAABCECgAIH/B9hfvPbIv7SgAAAAAElFTkSuQmCC

A diferencia de lo observado en la tasa de desocupación

para la informalidad se

puede observar

una reducción

hasta el 48%

en abril de 2020

, siendo este el

nivel

mínimo desde que se tienen datos

(

Figura

)

.Figura 12

Tasa de informalidad

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

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Con respecto

l empleo formal

, la información publicada por el

IMSS

muestra que

en junio de 2020

hubo una caída

cerca de

un millón de empleos

(

Figura

)

.Figura 13

Empleo formal

Nota. Adaptado de Sistema de Información Estadística Laboral,

IMSS

, 2024, http://siel.stps.gob.mx:304/

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Consumo

El consumo se va a integrar en el análisis a través de tres indicadores, el primero es el índice de confianza del consumidor, que s

egún el documento metodológico emitido por el INEGI (20

)

objetivo general es

enerar

información estadística cualitativa y cuantitativa mensualmente, con la finalidad de obtener indicadores a nivel nacional sobre la percepción actual y las expectativas a futuro que tiene la población de 18 y más años acerca de su situación económica, la de su familia y la del país; de las posibilidades de compra de bienes de consumo duradero y no duradero, así como de otras variables económicas importantes como el empleo, la inflación y el ahorro; todo lo cual, pronostique un comportamiento determinado al corto plazo de la demanda agregada, y en sí del crecimiento económico.

(INEGI, 2023)

En particular para es estudiar el fenómeno de la pandemia es útil ya que permite

entender cómo los consumidores responde

a las condiciones económicas

en entornos de incertidumbre

. Un descenso en la confianza

se puede interpretar como

una tendencia hacia una reducción en el consumo y, por ende, una posible disminución en la producción económica, afectando el crecimiento económico y la recuperación financiera.

Algunos componentes que integran este

ndice son:

Percepción de la economía actual del hogar comparada con la de hace un año: Refleja cómo las condiciones económicas han afectado personalmente a los consumidores.

Expectativa de la situación económica del hogar dentro de un año: Indica el optimismo o pesimismo sobre la recuperación financiera y la estabilidad.

Percepción y expectativas de la situación económica del país: Proporciona información sobre la opinión pública respecto a la gestión económica y las condiciones macroeconómicas.

Percepción sobre la compra de bienes duraderos: Muestra la disposición para realizar gastos significativos, un indicador directo de la confianza en la estabilidad económica.

Juntos, estos componentes forman el índice de confianza del consumidor. En la Figura 14 se puede apreciar,

una

reducción del -29.

% en mayo de 2020

derivada

pérdida significativa de empleos y una reducción en los ingresos para muchos, afectando tanto a trabajadores formales como informales

. Esto

contribuyó

para crear una

visión negativa del clima económico y de las finanzas personales, alimentando una caída en

el indicador

Figura 14

Confianza del consumidor (Variación anual)

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

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El segundo indicador son las

ventas

minoristas que

se mide

a través de la Encuesta Mensual sobre

Empresas

Comerciales realizada por el Instituto Nacional de Estadística y Geografía (INEGI

, 2024

)

y representan

monto que obtuv

ieron

empresa

por todas aquellas

actividades de producción, comercialización de

mercancías o prestaci

de servicios

al por menor y

que realiz

aron

durante

mes de referencia.

En un panorama general

se observa

la misma dinámica que

en los

otros indicadores

de consumo

con contracciones anuales de más del 20% en abril y mayo de 2020.

Figura 15

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

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Comercio al por menor (Variación anual)

Por último, el

indicador mensual del

consumo privado

mide la evolución mensual del gasto en bienes y servicios de

consumo hechas por las unidades familiares y las instituciones privadas sin fines de lucro que sirven a los hogares,

el indicador

comprende el valor

de las compras de bienes y servicios sin importar cual

sea su duración

(INEGI, 2018)

Esto permite dar un seguimiento mensual adelantado al componente Consumo (C) en el PIB.

Además, el

indicador

está compuesto por

dos categorías principales: bienes

y servicios nacionales y bienes importados

Ambos mostraron efectos negativos en la pandemia y se vieron reflejados en el indicador total.

Como se observó en la Demanda Agregada el segundo trimestre de 2020 fue donde este indicador sufrió las peores contracciones;

en abril

con una reducción del 23.5% y en mayo de 25.1%.

Figura 16

Consumo Privado (Variación anual)

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

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Indicador Global de Actividad Económica

La función del

IGAE es

refleja

la actividad económica de

país

con frecuencia mensual

este

incluy

sectores como la industria, el comercio, los servicios, y la agricultura. No es una medida del PIB, aunque se relaciona estrechamente con este

debido a que se reporta mensualmente, permite

ofrecer una visión actualizada de la evolución económica d

el país

. En México, el IGAE se calcula utilizando información sobre la producción industrial, las ventas al por menor, los servicios y la producción agrícola, entre otros factores.

En tiempos de

recesión o crisis

, como

pandemia, el IGAE permite observar los cambios mensuales en la actividad económica y detectar signos de recuperación o retroceso.

El IGAE se desagrega en tres principales componentes:

Actividades Primarias (como agricultura, cría de animales, silvicultura, pesca y caza): Estas actividades pueden ser menos susceptibles a disrupciones inmediatas de la cadena de suministro, pero pueden enfrentar desafíos a largo plazo.

Actividades Secundarias (industria y manufactura): Este componente es sensible a las condiciones tanto internas como externas, ya que una pandemia puede afectar las cadenas de suministro globales.

Actividades Terciarias (comercio y servicios): Estas incluyen sectores como el turismo y el entretenimiento, que son altamente vulnerables a las medidas de distanciamiento social y las restricciones de viaje.

IGAE

sufrió una contracción sin precedentes (un

mínimo

de -22% anual) durante los meses críticos de la pandemia en 2020, reflejando los profundos desafíos que enfrentó la economía mexicana. Figura 17

IGAE (Variación anual)

Nota. Adaptado de Banco de Información Económica, INEGI, 2024, https://inegi.org.mx/app/indicadores/?tm=0&t=10000215

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gAgUQICGZgHQeAsRIAJEgAgQASJABIgAESACRIAIZCPwP6EZv9sZzmxwAAAAAElFTkSuQmCC

Tipo de cambio

El tipo de cambio es una variable que

refleja

varios

aspectos de la economía de un país, desde decisiones individuales de consumo hasta inversiones a gran escala y políticas gubernamentales. En situaciones de crisis global, como la pandemia de COVID-19, el tipo de cambio experimenta

una alta

volatilidad debido a la incertidumbre económica y los cambios en los flujos globales de capital.

Básicamente es el precio de una moneda en términos de otra; es decir, la cantidad de moneda

que

un país necesita para obtener una unidad de moneda de otro país. Este indicador es crucial en

una

economía globalizada como la

de México

, pues afecta los precios relativos de bienes y servicios importados y exportados, la inversión extranjera, la inflación, el endeudamiento externo, entre otros aspectos.

En México, como en muchos otros países, el tipo de cambio puede fluctuar libremente en el mercado de divisas, siendo

sensible a

factores como la percepción de riesgo

del

país, las tasas de interés, la situación política, y la relación comercial con otros países. Las intervenciones del Banco de México pueden

influir ya sea

para estabilizar la moneda

controlar la inflación

, el consumo, entre otros

l tipo de cambio

ayuda a

expresar

los efectos

de la pandemia

, ya que reflej

de manera inmediata ciertos

eventos que afectan al país

. Una depreciación rápida puede aumentar el costo de los productos importados y afectar las deudas denominadas en moneda extranjera, mientras que una apreciación puede tener un impacto en la competitividad de las exportaciones.

USD/MXN

El tipo de cambio

dólar/peso

experimentó

una

volatilidad significativa durante la crisis

Covid-19

, afectado

principalmente

por la incertidumbre general del mercado y los cambios en la percepción del riesgo entre los inversores internacionales. En momentos de crisis, hay una tendencia hacia

divisas

más seguras

, como el dólar estadounidense. Esto presiona a las monedas de los mercados emergentes, como el peso mexicano, que tienden a depreciarse debido a la salida de capital.

Cabe destacar que l

a intervención del Banco de México en los mercados de divisas, junto con medidas de estímulo fiscal y monetario, formó parte de las estrategias para estabilizar la moneda, aunque el contexto global mantuvo el tipo de cambio en niveles históricamente altos durante la crisis.

peso mexicano

se depreci

ante el dólar hasta un nivel máximo de 24.2

pesos por dólar

en mayo de 2020

Figura 18

Tipo de cambio (USD/MXN)

Nota. Adaptado de

Sistema de Información Económica

Banco de México

, 2024,

https://www.banxico.org.mx/SieInternet/

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Tasa objetivo

La tasa objetivo, o tasa de interés de referencia, es un instrumento central de la política monetaria de un país, utilizada por el banco central para influir en la actividad económica. Durante periodos de perturbación económica, como la pandemia de

COVID-19, la manipulación de la tasa objetivo se convierte en una herramienta para estabilizar la economía y promover la recuperación.

En el caso de México, el Banco de México,

es el encargado de fijar

el nivel de las tasas de interés en la economía. Esta tasa es

la que

las instituciones financieras

basan para otorgar créditos

, y afecta las tasas de interés de todo, desde préstamos empresariales hasta hipotecas y tarjetas de crédito. La tasa objetivo se ajusta para controlar la inflación

estabilizar la moneda

prom

over

un crecimiento económico adecuado y

gestionar

el desempleo.

(Banco de México, 2020)

En tiempos de crisis, como

en la

pandemia, el banco central puede reducir la tasa objetivo para incentivar el gasto y la inversión al hacer que el

costo de un

crédito sea más barato, o aumentarla para incentivar la inversión y controlar la inflación si el crédito es demasiado abundante.

Su ajuste puede reflejar respuestas a los choques económicos causados por

fenómenos coyunturales

, incluyendo caídas abruptas en la demanda, disrupciones en la cadena de suministro o crisis de liquidez. Analizar los cambios en la tasa objetivo permite entender las acciones de política monetaria tomadas en respuesta a la crisis y cómo estas buscan amortiguar los efectos negativos en la economía.

Durante la pandemia de COVID-19, el Banco de México implementó una reducción en la tasa objetivo para combatir los efectos económicos adversos y asegurar la liquidez, influenciando así el crédito, la inversión, y el consumo en el país. Sin embargo, en la fase de recuperación

ante presiones inflacionarias

la depreciación del peso

por la crisis sanitaria y los desafíos en la política monetaria global, Banxico se vio en la necesidad de revertir su curso y aumentar gradualmente la tasa objetivo. Este ajuste, llevó la tasa hasta un

nivel

11.25%,

que

buscaba contener las expectativas inflacionarias, estabilizar la moneda, y preservar la confianza de los inversores en el entorno económico de México.

Figura 19

Tasa de referencia

Nota. Adaptado de

Sistema de Información Económica

Banco de México

, 2024,

https://www.banxico.org.mx/SieInternet/

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Índice de Precios y Cotizaciones

El IPC es el principal indicador de la Bolsa Mexicana de Valores, diseñado para ofrecer una visión representativa del mercado accionario mexicano mediante el seguimiento del rendimiento de las acciones de las empresas más grandes y líquidas listadas en la BMV. El cálculo del IPC toma en cuenta la capitalización bursátil de las empresas incluidas y su precio de mercado, ofreciendo una medida integral de su desempeño en el mercado de valores.

La evolución del IPC refleja las fluctuaciones en la valoración de mercado de estas empresas,

que,

a su vez, es influenciada por su salud financiera, sus perspectivas futuras y factores macro y microeconómicos. Durante eventos disruptivos, el IPC puede experimentar volatilidad, evidenciando la respuesta del mercado a la incertidumbre y los cambios

económicos

a abrupta desaceleración económica, las interrupciones en las cadenas de suministro globales, y las medidas de confinamiento afectaron drásticamente a las

empresas, lo que se reflejó en una caída inicial en el IPC

de más del 20% entre el cierre de 2019 y febrero de 2020

. Este descenso fue el resultado del pánico en los mercados globales, la salida de inversores extranjeros y las perspectivas económicas negativas

.Figura 20

Índice de Precios y Cotizaciones

Nota. Adaptado de

S&P Dow Jones

Indices

S&P

, 2024,

https://www.spglobal.com/spdji/es/indices/equity/sp-bmv-ipc/

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Revisión de literatura

Como ya se mencionó, existen diversos

documentos de investigación que miden el impacto económico y financiero de la pandemia de COVID-19 en México

y aunque a nivel estatal la literatura no es tan extensa existen ciertos estudios que indagan sobre los efectos en algunas entidades federativas del país

. A continuación, se muestran algunos de ellos

y sus hallazgos

Cuesta Aguirre y Ahmed Hannan (2022)

elaboraron un estudio donde

analizan

la relación entre la caída en la actividad económica en la pandemia, el número de casos por Covid-19 y la estructura económica de los estados en México

En su investigación concluyen que

los estados

que tuvieron un

mayor gasto inicial en salud y capacidad sanitaria tuvieron, en promedio, una tasa de letalidad más baja.

Del lado económico

, observaron que los estados con

una

fuerte dependencia del turismo se vieron especialmente afectados

, entre estos destacan

Baja California

Sur, Quintana Roo

Guerrero

, mientras que los estados con mayor exposición a las exportaciones manufactureras tuvieron un mejor desempeño.

También en sus resultados sobresale que estados como Campeche y la Ciudad de México tuvieron un fuerte impacto en su actividad económica y además una gran cantidad de casos de Covid-19, estados como Oaxaca e Hidalgo también tuvieron un fuerte impacto en la actividad económica pero no en la cantidad de enfermos.

Campos-Vázquez y Esquivel (2021) en su estudio "Consumption and geographic mobility in pandemic times: Evidence from Mexico", analizaron

los patrones de consumo entre enero de 2019 y junio de 2020 en México. Resaltan que entre abril y junio de 2020 el gasto en puntos de venta fue 23 puntos porcentuales menor a un escenario donde no hubiera

habido

pandemia. Dentro de las regiones del país mencionan que los resultados son heterogéneos pero los sectores más afectados son los relacionados con el turismo, restaurantes y transporte.

Por lo que

como en la investigación mencionada anteriormente

estados como Quintana Roo, Yucatán y Guerrero registraron pérdidas superiores al 28.9%.

Por otro lado, en estados que tienen frontera con Estados Unidos las

pérdidas

fueron menores al 15.2%.

Licerio, Varela y Sánchez (2023) examinaron el impacto económico de la pandemia en las diferentes regiones de México. Utilizando un modelo de datos de panel, encontraron que la región

Sur

-S

ureste

(que incluye

los

estados

Campeche, Chiapas, Guerrero, Oaxaca, Quintana Roo, Veracruz, Tabasco y Yucatán

) experimentó una contracción en su actividad económica del 8.7% en 2020, mientras que la región Centro-Occidente (que incluye

Aguascalientes, Colima, Guanajuato, Jalisco, Michoacán, Nayarit, Querétaro, San Luis Potosí y Zacatecas

) cayó 7.2%.

Casado Izquierdo

(202

) en su investigación "

De crisis sanitaria a crisis económica y laboral: patrones espaciales del impacto de la COVID-19 en el empleo formal de México

utilizó datos de empleos registrados en el IMSS y concluyó que todos los estados del país perdieron empleos durante la crisis, aunque destaca que el estado con mayor perdida fue Quintana Roo con una reducción de

más de 66 mil

empleos en el sector del turismo

y otros 14 mil en la industria de la construcción

. Los principales sectores afectados de acuerdo con este estudio fueron: turismo, alojamiento temporal, servicios de alimentos y recreación. En contraste, en entidades con mayor presencia de actividades primarias se

observó

un aumento en el empleo formal.

En la literatura, l

os impactos

observad

s generalmente se atribuyen a factores como la estructura económica de cada estado, su dependencia de sectores específicos y

las

medidas

impuestas

ante

la crisis sanitaria.

La presente investigación busca contribuir a esta literatura mediante la construcción de un índice compuesto que permita una evaluación integral y comparativa del impacto económico de la pandemia en todas las entidades federativas de México.

Metodología

Definición y Concepto de Índices Compuestos

Un índice es una medida estadística que permite evaluar una

variable

o un conjunto de

variables

. Esta característica hace que los índices sean herramientas fundamentales para analizar y comparar el estado de un fenómeno en distintas situaciones y a lo largo del tiempo, convirtiéndolos en instrumentos esenciales para los estudios de coyuntura.

Los índices se pueden clasificar en dos categorías principales según el número de magnitudes que evalúen.

Los índices simples se encargan de recoger la evolución de una única magnitud económica, proporcionando información específica sobre el comportamiento de una variable en particular.

Por otro lado, un índice compuesto, también conocido como índice sintético o complejo es definido por

la CEPAL

(2009) como “una representación simplificada que busca resumir un concepto multidimensional en un índice simple (unidimensional) con base en un modelo conceptual subyacente. Puede ser de carácter cuantitativo o cualitativo según los requerimientos del analista.” (p.1

). En este sentido, tienen como objetivo recoger la evolución conjunta de

magnitudes, es decir, permite evaluar el comportamiento simultáneo de múltiples variables económicas tratando siempre de capturar la mayor cantidad posible de información del concepto inicial.

Dentro de la categoría de índices compuestos, se pueden distinguir dos subtipos principales:

Índices compuestos sin ponderar: Donde todas las magnitudes o componentes que integran el índice tienen la misma importancia relativa, lo que significa que se les asigna el mismo peso en el cálculo del resultado final. Este enfoque asume que todas las variables contribuyen de manera equitativa al fenómeno estudiado.

Índices compuestos ponderados: A diferencia de los índices compuestos sin ponderar, en los índices compuestos ponderados cada magnitud o componente recibe un peso diferente en función de diversos criterios. Estos pesos se asignan de acuerdo con la importancia relativa de cada uno de los bienes o variables considerados, permitiendo reflejar de manera más precisa la contribución de cada componente al índice final.

La elección entre un índice compuesto sin ponderar o ponderado dependerá del objetivo del estudio y de la naturaleza de las magnitudes económicas analizadas.

Importancia y Utilidad de los Índices Compuestos

La decisión de utilizar un índice simple o un índice compuesto dependerá de varios factores, si el propósito es analizar la evolución de una única magnitud económica, un índice simple será suficiente. Sin embargo, cuando el fenómeno en cuestión es multidimensional y está influenciado por diversos factores, un índice compuesto

permite

capturar de manera más completa la realidad estudiada.

La elección también

está

condicionada por la disponibilidad y calidad de los datos necesarios para su construcción. Si se cuenta con información confiable y completa para múltiples variables relevantes, un índice compuesto será viable. En caso contrario, un índice simple basado en la variable con mejores datos disponibles puede ser la opción más adecuada.

Igual, si el índice está destinado a un público amplio sin conocimientos técnicos sobre el fenómeno y requieren una visión general y sintetizada, un índice compuesto puede ser más apropiado. Es más fácil para el público en general interpretar un indicador compuesto a diferencia de identificar tendencias comunes en varios indicadores por separado

(Saltelli, 2007)

Por otro lado, si el índice se dirige a un público especializado o se busca un análisis detallado de una variable específica, un índice simple será de mayor utilidad.

Ventajas y Limitaciones de los Índices Compuestos

Las principales ventajas y desventajas del uso de indicadores compuestos se explican a continuación (Tabla 3)

(OCDE, 2008)

:Tabla 3

Ventajas y desventajas de los índices compuestos

Nota. Adaptado de

Guía metodológica: diseño de indicadores compuestos de desarrollo sostenible

OCDE

, 20

08.

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En lo que respecta a

las metodologías

, la justificación de un indicador compuesto reside en su adecuación al fin perseguido y en la aceptación por parte de los usuarios

(OCDE, 2008)

Existen diferentes controversias en cuanto al uso de indicadores compuestos

los principales

dos punt

s de vista

son:

Primero,

que resulta útil combinar indicadores de alguna manera para obtener un resultado final. Ya que un resumen estadístico de este tipo puede captar la realidad y es significativo, adem

s que destacar el resultado final es extremadamente útil para atraer el interés del público en general.

El punto de vista en contra de este tipo de índices,

dicta

que hay que detenerse una vez creado un conjunto adecuado de indicadores y no dar el paso de elaborar un índice compuesto. Su principal objeción a la agregación es lo que consideran la naturaleza arbitraria del proceso de ponderación mediante el cual se combinan las variables.

(Sharpe, 2004)

, es decir, an

ar siempre el fenómeno por sus partes y no en conjunto.

Metodología para la construcción de Índices Compuestos

La OCDE (2008) en su manual para construir indicadores compuestos presenta una serie de 10 pasos a seguir y su importancia para la correcta elaboración de estos.

1. Marco teórico

: Explica la

base para la selección de variables

que son significativas para la construcción de

un indicador compuesto

Se necesita para:

btener una comprensión y definición clara del fenómeno multidimensional a medir.

Estructurar

los diversos subgrupos del fenómeno (si es necesario).

2. Selección de

variables

Debe basarse en la solidez analítica, la mensurabilidad, la cobertura y la relevancia de los indicadores para el fenómeno que se mide y la relación entre ellos.

Se necesita para:

erificar la calidad de los indicadores disponibles.

Para

entender

las fortalezas y debilidades de cada indicador seleccionado.

Para crear una tabla resumen sobre las características de los datos, por ejemplo, disponibilidad (en todos los países, tiempo), fuente, tipo (duro, suave o entrada, salida, proceso).

3. Imputación de datos faltantes

Es necesario proporcionar un conjunto de datos completo

, así que en caso de que haya datos faltantes se tiene que encontrar la forma de añadirlos

4. Análisis multivariado

Debe usarse para estudiar la estructura general del conjunto de datos, evaluar su idoneidad y guiar las elecciones metodológicas posteriores.

Se necesita para:

Ayudar a v

erificar la estructura subyacente de los datos mediante métodos multivariados adecuados, por ejemplo

análisis de componentes principales

análisis de conglomerados.

dentificar grupos de indicadores que son estadísticamente "similares" y proporcionar una interpretación de los resultados.

Normalización

Debe llevarse a cabo para

transformar

la escala original de todas las

variable

en una escala común

Se necesita para:

Hacer comparables entre s

los valores originales

Para hacer ajustes de escala, si es necesario.

Para transformar indicadores altamente sesgados, si es necesario.

6. Ponderación y agregación

: S

eleccionar procedimientos de ponderación y agregación apropiados que respeten tanto el marco teórico como las propiedades de los datos.

Se necesita para:

Ver

si se deben tener en cuenta los problemas de correlación entre los indicadores.

7. Análisis de

sensibilidad

Debe llevarse a cabo para evaluar la solidez del indicador compuesto en términos

del

mecanismo para incluir o excluir un indicador, el

esquema de

normalización

, la imputación de datos faltantes, la elección de ponderaciones y el método de agregación.

Se necesita para:

Determinar

factores

son más influyentes en los puntajes

8. Volver a los datos

El indicador compuesto debe ser transparente y adecuado para ser descompuesto en sus valores subyacentes.

Se necesita para:

erificar la correlación y la causalidad (si es posible).

dentificar si los resultados del indicador compuesto están demasiado dominados por algunos indicadores y explicar la importancia relativa de los subcomponentes del indicador compuesto.

Relación con

otras variables

Se deben hacer intentos para correlacionar el indicador compuesto con otros indicadores publicados, así como para identificar enlaces a través de regresiones.

Se necesita para:

orrelacionar el indicador compuesto con otras medidas relevantes, teniendo en cuenta los resultados del análisis de sensibilidad.

esarrollar narrativas basadas en datos a partir de los resultados.

10. Visualización de los resultados

Debe recibir la debida atención, dado que la visualización puede influir (o ayudar a mejorar) la interpretabilidad.

Se necesita para:

Identificar

un conjunto coherente de herramientas de presentación para el público objetivo.

Presentar

los resultados del indicador compuesto de manera clara y precisa.

Metodologías para el cálculo de ponderadores

Existen diversas propuestas metodológicas para la construcción de índices compuestos

algunas de las alternativas

más

destacadas son

el método por med

a aritmética, método por media geométrica y análisis de componentes principales.

La media aritmética o promedio simple es una medida de tendencia central que representa el valor típico de un conjunto de datos. En el contexto de los índices compuestos, como el Índice Absoluto de Marginación propuesto por

CONAPO

(2016)

, la media aritmética se utiliza para sintetizar la información de múltiples indicadores en una sola medida, este método usado para crear índices compuestos sin ponderación.

Una de las principales ventajas de este método es su simplicidad y facilidad de interpretación. Al promediar los valores de los indicadores, se obtiene un valor que representa el nivel promedio de marginación en una unidad geográfica determinada. Además, al mantener las ponderaciones de los indicadores constantes a lo largo del tiempo, el IAM permite la comparación temporal y

cruzada

entre unidades geográficas

(CONAPO, 2016)

Es importante tener en cuenta que la media aritmética es sensible a valores extremos,

lo que puede influir en el resultado final. Asimismo, al asignar

el mismo

peso a todos los indicadores, este método no considera la posible diferencia en la importancia relativa de cada uno de ellos.

Otro método utilizado es el de media geométrica, la construcción del Índice de Desarrollo Humano lo utiliza, se calcula mediante la raíz n-ésima del producto de n números. En el caso del IDH, se utiliza la raíz cúbica del producto de los índices de salud, educación y riqueza

(PNUD, 2020)

Una ventaja de la media geométrica es que es menos sensible a valores extremos en comparación con la media aritmética. Además, al multiplicar los valores de los indicadores, este método considera la interacción entre ellos, lo que puede ser más adecuado para medir fenómenos.

No obstante, la interpretación de la media geométrica puede ser menos intuitiva que la de la media aritmética, ya que el resultado no representa un promedio en el sentido tradicional. Asimismo, este método requiere que todos los indicadores tengan valores positivos y valores no cero, lo que puede limitar su aplicabilidad en ciertos casos.

El análisis de componentes principales utilizad

para desarrollar el Índice de Progreso Social es una técnica estadística que permite reducir la dimensionalidad de un conjunto de datos

correlacionados

, transformando las variables originales en un nuevo conjunto de variables no correlacionadas llamadas componentes principales. Para fines de crear índices compuestos, el ACP se utiliza para sintetizar la información de múltiples indicadores en un número menor de componentes que capturan la mayor parte de la variabilidad de los datos.

(México Como Vamos, 2020)

Una ventaja del ACP es que permite identificar las dimensiones subyacentes que explican la mayor parte de la varianza en los datos, lo que puede ser útil para comprender la estructura del fenómeno estudiado.

Sin embargo, la interpretación de los componentes principales puede ser compleja, ya que estos no siempre tienen un significado intuitivo. Asimismo, el ACP es sensible a la escala de las variables, por lo que es necesario

normalizar

los datos antes de aplicar esta técnica.

Debido a la naturalez

de nuestros datos el método

más adecuado

ser

el de Análisis de Componentes Principales.

Esto por las siguientes razones, primero es una metodología que tiene la capacidad de sintetizar información de múltiples variables económicas y financieras en un índice compuesto. Y dado a la naturaleza multidimensional del impacto económico de la pandemia de COVID-19, que afectó diversos aspectos de la economía mexicana, puede ser capturado eficazmente por el ACP al considerar simultáneamente múltiples variables, lo cual es crucial para crear un índice que sea

preciso y

a la vez comprehensivo y manejable.

Adicionalmente, a diferencia de métodos que requieren una ponderación subjetiva de las variables o no la tienen, el ACP determina la importancia relativa de cada variable basándose en su contribución a la varianza total de los datos, proporcionando una base más objetiva para la construcción del índice.

Finalmente, la elección del ACP también se respalda en precedentes de la literatura económica, como los estudios de

Villarreal

Bulos

(

2015

)

Reyes (2011)

, quienes emplearon esta técnica para desarrollar indicadores económicos en México, demostrando su aplicabilidad y eficacia en el contexto económico mexicano.

Introducción al Análisis de Componentes Principales

La finalidad de

l Análisis de Componentes Principales

se puede resumir en lo siguiente, prim

ero a partir de un grupo de variables correlacionadas,

generar

nuevas variables no correlacionadas

(componentes principales) que expresen la mayor cantidad de información posible, después reducir la dimensión del espacio muestral, eliminar las variables que no expliquen significativamente el fenómeno y por último facilitar la visualización e interpretación de los datos.

Algunas de las limitantes de este método son:

Es un método

diseñado para datos numéricos, en caso de tener variables categóricas o cualitativas no es el más apropiado

unque este análisis busca conservar la mayor varianza posible, puede que debido a la reducción de dimensionalidad

pierda

información

y pueda

causar ausencia de detalles y matices importantes.

(Díaz Monroy, 2012)

Asume que las relaciones lineales entre las variables son suficientes para capturar la estructura de los datos, lo que p

uede

no ser válido en casos donde las relaciones son no lineales.

(Gonzáles, 2023)

La interpretación de los componentes principales puede ser complicada, ya que no siempre tienen un significado claro en términos de las variables originales.

(Gonzáles, 2023)

normalización

de los datos puede no ser siempre apropiada, especialmente si las unidades de medida y las escalas de las variables tienen un significado intrínseco en el contexto del problema.

(Gonzáles, 2023)

La elección del número de componentes principales a retener puede ser subjetiva y depende del criterio del investigador o del científico de datos.

(Gonzáles, 2023)

Desarrollo y creación de los componentes principales

Para el desarrollo de los componentes principales, Díaz Monroy (2012) explica el siguiente proceso.

Dado un grupo de variables

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observaciones, pueden organizarse dentro de una matriz de datos

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, donde cada variable contiene información en un vector del mismo tamaño y las columnas de X tienen media cero. Esta matriz de representa de la siguiente manera:

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A partir de la matriz X se genera un nuevo conjunto de variables

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) no correlacionadas entre sí. A estas variables se les denomina componentes principales, cuyas varianzas decrecen progresivamente. Y donde cada elemento

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representa una combinación lineal de las variables originales

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En general se tiene que

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Para todo el conjunto de datos en forma matricial

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Que se traduce en notación matricial como:

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contiene las puntuaciones de cada variable sobre cada componente principal,

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es la matriz de datos original y

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contiene los ponderadores de las combinaciones lineales.

Para encontrar el primer componente principal, que además tenga la varianza máxima. Como las variables originales tienen media 0, también

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tendrá media nula.

La varianza de

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se calcula como:

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Y ya que existen vectores infinitos de coeficientes, para evitar que la varianza se maximice sin límite, se impone la siguiente restricción.

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Para encontrar la máxima varianza, se aplica el multiplicador de Lagrange de la siguiente manera:

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Derivando e igualando a cero

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Se tiene que

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Esto quiere decir que

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debe ser un vector propio de la matriz de correlaciones S con un valor propio asociado

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. Dado que

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Y, teniendo en cuenta que

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, que es el valor propio más grande y

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el vector propio asociado, por lo que el primer valor propio se puede interpretar como la varianza muestral del primer componente principal.

Para el resto de los componentes principales el procedimiento es el mismo, pero añadiendo la restricción de que no tengan correlación

alguna

Selección de los componentes

Para la selección de componentes principales no existen estándares estrictamente

definidos

. Sin embargo,

Dillon & Goldstein (1984) describen el siguiente método para realizarla. Consiste en graficar los componentes principales de forma descendente; de tal modo que se muestre el porcentaje de variación explicado por cada uno de los componentes. Figura 21

Scree Plot (Ejemplo)

Nota.

Tomado

de Multivariate analysis: Methods and applications, Dillon, W. R., & Goldstein, M., 1984.

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La elección se basa en elegir los componentes que expliquen la mayor cantidad de la varianza. Lo más utilizado en diferentes estudios es observar el componente principal donde

hay una caída significativa. Poniendo de ejemplo la

figura

en el caso “a” s

se toma

el primer componente principal

ya que explica más del 70% de la varianza y el segundo componente se reduce hasta alrededor de 15%.

Por otro lado, en el caso “b” se observa que la diferencia entre los primeros tres componentes no es sumamente diferente como en el

primer ejemplo

or esto en este caso se recomienda utilizar los tres primeros componentes principales que explican alrededor del 75% de la varianza

Índice sobre el Desempeño de México

Selección de variables

Para la construcción del

Índice

sobre Desempeño Económico

indicadores de fuentes

oficiales

fueron utilizados

Los indicadores provienen del Instituto Nacional

de Estadística y Geografía,

Banco de México

, Instituto Mexicano del Seguro Social

y S&P.

Todos los indicadores (Capítulo

) fueron sel

eccionados dado que son los que mejor reflejan la situación económica y financiera

Blanchard,

et al.

(20

) en su libro "Macroeconomics: A European Perspective" identifica

varios indicadores clave

que son los que mejor

eval

úan

el entorno

de una economía, incluyendo el Producto Interno Bruto (PIB), la tasa de desempleo, la tasa de inflación, la balanza comercial (exportaciones e importaciones), la tasa de interés y el tipo de cambio. Adicionalmente, Bodie, Kane y Marcus (2018) en su obra "Investments" señalan la importancia del Índice de Precios y Cotizaciones como un indicador crucial del desempeño del mercado de valores, reflejando las expectativas de los inversionistas sobre la salud económica y financiera del país.

Mas allá de lo anterior y para esta investigación en específico

las variables permiten observar lo siguiente

l INPC se incluye para evaluar la estabilidad de precios durante la pandemia. Se utiliza

únicamente

componente

subyacente

ya que

proporciona una medida más estable de las presiones inflacionarias fundamentales

sin la interferencia de factores volátiles o temporales.

Las variables relacionadas con el empleo, incluyendo la tasa de desempleo y la tasa de informalidad, son muy útiles para entender el impacto de la pandemia en el mercado laboral. Estas métricas no solo reflejan la salud económica del país, sino que también proporcionan una visión sobre el bienestar social y la calidad del empleo del país. El consumo

(que representa más del 50% del PIB)

, representado por indicadores como la confianza del consumidor, las ventas al menudeo y el

consumo privado, ofrece una visión de cómo los hogares y las empresas ajustaron sus patrones de gasto en respuesta a la incertidumbre del entorno.

El IGAE se incluye debido a su capacidad para proporcionar una visión detallada de la actividad económica en México.

Aunque para fines de cumplir con el objetivo del estudio, que es evaluar la economía de manera estatal se utiliza el ITAE

que mide lo mismo, pero para cada una de las entidades federativas del país.

Las exportaciones se incluyen para evaluar el impacto de la pandemia en el comercio internacional de México. Las exportaciones reflejan la demanda externa de bienes y servicios mexicanos.

Las importaciones ofrecen información sobre la demanda interna y el acceso a insumos extranjeros.

En el ámbito financiero, la inclusión del tipo de cambio refleja la percepción internacional de la economía mexicana y su capacidad para manejar la crisis.

Por su parte l

a tasa objetivo del Banco de México proporciona información sobre la política monetaria implementada en respuesta a la pandemia.

Por último, el Índice de Precios y Cotizaciones ofrece una perspectiva de cómo el mercado de valores mexicano reaccionó a la pandemia.

La decisión de incluir un conjunto amplio de variables se basa en la complejidad y multidimensionalidad del entorno económico. Un mayor número de variables permite capturar de manera más completa todas las aristas de la economía afectadas por la crisis

por

que la OCDE (2008) en su manual para la construcción de indicadores compuestos, enfatiza que la selección de un conjunto diverso de variables puede mejorar la comprensión del fenómeno estudiado y la robustez del análisis. De igual manera Nardo et al. (2005), mencionan que la utilización de múltiples variables en la construcción de índices compuestos puede ayudar a mitigar el impacto de posibles errores de medición en variables individuales, contribuyendo así a una evaluación más precisa y confiable del fenómeno estudiado.

El nuevo índice

integra

el conjunto de variables que

se muestra a continuación: (Tabla 4)Tabla 4

Variables seleccionadas

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Dado que se cuenta con

tres

indicadores que tienen frecuencia trimestral (ITAEE, informalidad

tasa de desempleo) y la matriz necesita ser una matriz

de tamaño

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, las variables que no tengan esa frecuencia

deben ser trimestralizadas

En el caso de las

variables

tipo de cambio, IPC

tasa de referencia el nivel al fin del periodo

se toma en cuenta

Para el resto de

las variables

con

diferente frecuencia

utilizan

medias aritméticas a partir de la información original para

trimestra

lizarla.

Análisis Multivariado: ACP

el capítulo anterior

explica cómo se

aplica

la metodología para realizar el análisis de componentes principales, esto con el fin de crear un índice sintético que muestre como y en que magnitud es que la pandemia por Covid-19 afectó a las diferentes variables económicas.

Matriz de correlaciones

La matriz de correlaciones permit

identificar el grado de asociación lineal entre cada par de variables, lo que ayuda a determinar si las variables son apropiadas para usar el

método

Lo que

se busca

es que todas las variables incluidas tengan un valor significativo de correlación entre sí.

Lo que s

ignifica que las variables comparten información en común y permit

que los componentes capturen de manera efectiva la mayor cantidad de la varianza.

matri

ces

de correlaciones

que

se presenta

a continuación

(

Figura

e puede

observar los coeficientes de correlación entre cada par de variables. Estos coeficientes varían entre -1 y 1, donde valores cercanos a -1 indican una correlación negativa, valores cercanos a 1 indican una correlación positiva, y valores cercanos a 0 indican una correlación débil o nula.

En este caso

el objetivo es

busca

que cada una de las variables tenga correlaciones no nulas (que en su mayoría no esté en blanco).Figura 22

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Matrices de correlaciones

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Las matrices de correlaciones se analizan y

se puede observar

que las variables presentan correlaciones significativas entre sí, lo que sugiere que el ACP es una técnica adecuada

para el conjunto de variables

Scree Plot

Tras

el cálculo

de los componentes principales

se obtiene

la gráfica “Scree Plot”

como el

capítulo anterior

menciona,

esto permite ver que cantidad de la varianza

total contiene

cada uno de los componentes principales.

Cabe resaltar que como resultado del modelo 1

componentes principales

se calcularon

(uno por cada variable).

A efectos prácticos e

la siguiente tabla

(

Tabla

)

sólo

se muestra

la varianza contenida dentro de

los primeros

cinco

componentes

dado

que la

parte de la varianza explicada por el resto de los componentes (

al 1

) es

muy cercana a 0

Tabla 5

Varianza explicada por componente principal

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Tras la metodología

que

el capítulo

muestra

lo más utilizado en diferentes estudios es observar el componente principal donde hay una caída significativa. En

todos los estados

esa caída se observa después del primer componente principal que por

sí

sólo explica

entre

y el

de la varianza lo cual es

significativo

Por tal razón únicamente

el primer

componente

se va a utilizar

Normalización de los datos

bido a la cantidad de variables con las que

se cuentan

varias magnitudes

se tienen

Por lo que

los ponderadores obtenidos

sobre

los datos originales

no se podrán usar

. Para arreglar esta situación

el método de estandarización o (z-valores)

se va a utilizar

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Una vez normalizados los datos en cada uno de sus periodos se puede decir que todos ya están en una misma escala

y por tanto son comparables entre sí

. Por lo

que

usar los ponderadores del CP1 para obtener el índice compuesto

es con lo que se va a continuar

Ponderación y agregación

Los

ponderadores obtenidos en el CP 1

para cada una de las entidades federativas

son los siguientes (Tabla 6):

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RPao5YQHuKd90r1xGew4uPzmlq6Z6mFf7d6pJ7OWEx523gGxLy4/DL6899YDXZ9qMfhH3KSCuoZN n0DoOP04zw+rKLqpyFOucOagGoGP4QTANMSl61r6m1rayqcghrP+sPChGyJiqWb94TmBWK8vBoUx 1RRCPOk6VlFSWw3Ucp+B8kkrn4IYTiHEKopG7V1hsdtQZgFbozp9OOsPqygaNRD7Fn19tkZlMayi aNTCshaDMptqCmEfzvrDKopGLdzTalAZ00wh3LOgxdCo0YmDm1RQvxqaTs62n7WdpK3SzcVS/D5r q1hTNZVmhn+af5umtFXsG83EvpFm2ntb1ZqKCYIgCIIgCIIgCIIgCIIgCIIgCIIgCIIg/GnBU5gE QbiP+QsxqiDc//yFrquCINy/OM7/D+NJ7OMjda8UAAAAAElFTkSuQmCC Tabla 6

Ponderadores del CP1

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Para agregar todas las variables en un único índice los ponderadores obtenidos

se utilizan

de la siguiente forma:

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Este procedimiento se aplica para cada una de las entidades federativas con sus respectivos indicadores. Y

indicador compuesto

para cada entidad federativa (32

en total

)

da como resultado

Cabe destacar que las variables pueden guardar diferentes tipos de relación con el índice, por su parte las variables

de consumo, empleo formal, exportaciones, mercado de valores y actividad económica

tienen

una relación positiva, es decir, si est

s aumentan ayudan a que el puntaje del índice se

mayor. Por otro lado, las variables de tasa de referencia, importaciones, desempleo, informalidad, inflación y

tipo de cambio guardan una relación negativa.

Visualización de resultados

Los indicadores

tiene

una tendencia creciente y a pesar de que

existe

una desaceleración

marcada

en el periodo de la pandemia

no permite ver con exactitud cuál fue la magnitud. Se p

ueden

calcular variaciones porcentuales sin embargo ya que existen valores negativos

puede

dar

resultados no significativos. Por lo que diferencias anuales absolutas

se utilizan

para cada uno de los periodos

como a continuación

se muestra

(

Figura

).Figura 23

Nota. 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Indicadores de desempeño económico

Para

facilitar la lectura e interpretación de

los

índice

su escala

se redimensiona

para que esta vaya de 0 a 100 y sea

más

amigable

con la lectura

Para lograr esto el método Min-Max

se utiliza

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Que queda de la siguiente forma

sustituyendo en el indicador

(

Figura

)Figura 24

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IDM redimensión de las diferencias anuales absolutas

Nota. Diferencia Anual Absoluta

, redimensionado

al aplicar el método Min-Max.

Ahora

índice se presenta en una escala de 0 a 100, donde 0 representa el peor desempeño económico observado y 100 el mejor. Valores más altos indican un mejor desempeño económico relativo, mientras que valores más bajos sugieren un peor desempeño.

En relación con este estudio

un menor puntaje es mejor ya que

una fuerte caída en

el puntaje de

cualquiera de los estados

en el periodo de la pandemia

compr

ueba

el hecho de que existió un impacto económico

negativo

sustancial a raíz del Covid-19.

Conclusiones y consideraciones finales

Discusión de resultados

capítulo

muestra cómo

utiliz

la metodología de ACP que

permit

sintetizar la información de 1

variables

en un indicador único por cada estado del país

En ellos

se observ

efectivamente la tendencia de la actividad económica general de

cada estado

, mostrando un

gran retroceso

durante el periodo de la pandemia.

Ya que

el estudio busca

observar el impacto de la pandemia,

necesita un punto de referencia. Esto para entender

cómo

es que se comporta el índice en un entorno “normal”

y poder compararlo

con el periodo de la pandemia

así que se toma

el año 2015 que cumple con este criterio. A

continuación, los puntajes de los estados

se presentan

de forma descendente (Tabla

): Tabla 7

IDE promedio 2015

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Los puntajes para este año

estuvieron entre 5

59.42

, así que la brecha entre el estado con menor puntaje y el de mayor es de alrededor de

puntos.

Al tomar

lo anterior como referencia, e

n la siguiente tabla los puntajes promedio de los estados

durante todo el año 2020 se muestran

en orden descendente

, que fue donde los mayores efectos

económicos

adversos derivados del Covid-19

se observaron

: (Tabla 8)Tabla 8

iVBORw0KGgoAAAANSUhEUgAAAeIAAAFtCAYAAADbD2muAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAHozSURBVHhe7b37szVXed/5Hv2czE9OBQcTREq2 UwlS9N4UiUlwUY4dI0sghCR0eYUNQsQpBxPJICyEeCVwjUFIGNcACRdzMxIiico1xrZsB9sIJIEz U2PnUjEu4ws2kphy/gXoWZ/u/u7z7LWf7t29+3L6nPN8q751dve6dO991tOfvVb3XutEUhEOhxfr veSh+m6yV3c4HD54X5AcCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgU CoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQK hUKhUCh06PTp5Hzh5quSd9GVyTdWL12dTP4vyd9bbvXX0PJHRX8r+aFk/b8+Wu+T3pD8v5JJI5+0 a7nQ4dankvU/l69O3kVdYvwPkv9eudVfQ8sfFRGXDyZ/N5n/18eS/3aydFvy3yST9v7kvWS0a7nQ AQsQ/2z1sre4cBOYEnXhJgWIxxH/rz9L/v5kAu+L9T7EZ/Qn9V/SyacvVruWCx1uAWL+z7tcdPMY py5ivKku2k+AeLjuTP5G8g8kE6v/OfktyXzufEZfTz6VTKz+aTJfrEhTuR9M7lMudMAaAuK+ZWkI AeLhyj93XgNVAo/X9ssQr7W9a7nQ4dYQEPctOxSkQ8sfFeWfO4AFqvRueU1sKs1+Odq1XOiAxT+C f1wu9ZgYhmIIk6EMhi35hqw09mF6T8Axr0vgJA9/GRaxIFW6hkPzodJt5UOV+Mz57FH+P+C1YJtr 13Khw6UmmPK/5SKdx/jtyUpjHybGgWNel8CpGOX6YEGqdMV4PlS6rXyokoVoG2xzdSn3v5VboQMV 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IDE promedio 2020

A diferencia del año de referencia a simple vista la brecha entre el estado con mejor desempeño y el estado con el peor desempeño

se observa que

pas

de estar cerca de

puntos a estar a más de

puntos.

Con un poco

más

de detalle se puede observar cu

les estados son los que mayores movimientos presentaron dentro del ranking, a la baja destacan

la Ciudad de México

que de ser el estado con

el cuarto

mejor desempeño

en 2015

pas

a ser el número

, igual Querétaro tuvo una gran caída. Pasó de ser el

segundo

lugar para posicionarse en el 2

. Al alza los estados con más posiciones escaladas fueron

Campeche, Veracruz y el

stado de México, cada uno subiendo más de

posiciones.

También hubo estados que se mantuvieron en posiciones similares como Guerrero, que se posicionó en los últimos lugares en ambos periodos. En contraste Chiapas se mantuvo en

primer

lugar en los dos años

, también Tabasco se mantuvo en los primeros lugares

Con el fin de hallar

algún tipo de relación entre los estados, se clasifica

en cuartiles, el primer cuartil representa el menor impacto en el desempeño (blanco) y el cuarto el mayor impacto (rojo intenso).Figura 25

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IDE cuartiles 2020

En e

stados como

Guerrero,

Quintana Roo, Yucatán

Baja California Sur

se observa que

reflejaron un impacto excepcional, esto p

uede

atribuirse a que son estados en los que su actividad económica depende del turismo, mismo que se vio restringido durante este periodo.

También la mayoría de los estados

en donde menos profundo fue el impacto

se observa que

se ubican

en el Sur del país como Chiapas, Veracruz,

Oaxaca,

Campeche y Tabasco,

que

fueron afectados moderadamente.

Opuesto a esto, en el norte del país todos los estados presentaron los mayores impactos. Igual

l centro del país, específicamente la Ciudad de México, Puebla y Querétaro se observan impactos excepcionales.

Conclusiones

El análisis exploratorio nacional

reveló la magnitud y

alcance de los efectos económicos de la pandemia en México. Indicadores clave como el PIB, la inflación, el empleo

el consumo experimentaron contracciones históricas y disrupciones sin precedentes. Los mercados financieros también reflejaron la incertidumbre y

volatilidad generada por la crisis sanitaria, con fluctuaciones significativas en el tipo de cambio

la tasa objetivo

La construcción del Índice de Desempeño Económico (IDE)

permite

una comprensión

clara

de las disparidades en el impacto económico de la pandemia a nivel estatal.

Los resultados del IDE revelan que

todos los estados experimentaron una caída en su desempeño económico durante la pandemia

hubo una heterogeneidad significativa en la severidad del impacto

económico entre las diferentes entidades federativas.

Aunque a pesar de esta heterogeneidad, es posible encontrar algunas relaciones

tre

los

estados

, destaca que las regiones del centro y norte del país presentan impactos severos, extremos o excepcionales a excepción de tres estados. En contraste la mayoría de

los estados

en el sur del país sufrieron efectos económicos leves,

sin contar

dos estados (Quintana Roo y Yucatán) donde el grueso de su actividad económica y

empleo depende

del turismo. En conclusión, los resultados del IDE revelaron que la pandemia si tuvo un impacto adverso profundo en la economía

de las entidades federativas de México. Además, la evidencia respalda la existencia de una relación en cuanto a la estructura de las economías y la localización geográfica de los estados que registraron los mayores efectos económicos. Por tanto, la hipótesis planteada al inicio de esta investigación debe ser aceptada.

Consideraciones Finales

La versatilidad de la metodología empleada en este análisis abre la puerta a numerosas posibilidades para su aplicación en diversas áreas de investigación. La flexibilidad para añadir o suprimir variables, siempre y cuando cumplan con los criterios previamente establecidos, no solo facilita la adaptabilidad del enfoque a otros contextos económicos, sino que también permite su uso en el análisis de eventos y fenómenos distintos.

Con

el planteamiento anterior

queda claro que

la aplicación potencial de esta metodología va más allá de los límites de esta investigación en específico, ofreciendo un marco adaptable que puede ser aprovechado en futuros estudios multidisciplinarios.

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Anexos

Índices estatales

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