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AGRADECIMIENTOSQuisiera expresar mi agradecimiento a mis padres, Rafael y Nancy, por su apoyo incondicional en cada paso y decisión que he tomado, así como, los valores y la guía que nos han inculcado como familia, convirtiéndose en un ejemplo a seguir.A mi hermano, Rafa, le agradezco por motivarme e impulsarme a tomar nuevos retos, y por sus sabios consejos que siempre han sido de gran ayuda.A mi prometido, Ulises, le reconozco su papel como un gran motivador en mi vida, su constante apoyo y palabras de aliento son invaluables.A la Dra. Carmen Lozano por su confianza en este proyecto, por su colaboración y apreciable dedicación. Su asesoría y contribuciones fueron fundamentales para alcanzar el objetivo de este trabajo. Finalmente, agradezco a Enrique por compartir sus valiosos conocimientos, los cuales fueron esenciales para el desarrollo del presente trabajo.ÍNDICE GENERAL TOC \o "1-3" \h \z \u Capítulo I. INTRODUCCIÓNCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANQAzAAAA
PAGEREF _Toc168265553 \h 1Capítulo II. MARCO TEÓRICOCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANQA0AAAA
PAGEREF _Toc168265554 \h 5Estado del arteCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANQA1AAAA
PAGEREF _Toc168265555 \h 10Capítulo III. DISEÑO METODOLÓGICOCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANQA2AAAA
PAGEREF _Toc168265556 \h 27DatosCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANQA3AAAA
PAGEREF _Toc168265557 \h 27Conjuntos difusosCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANQA4AAAA
PAGEREF _Toc168265558 \h 28Variables lingüísticasCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANQA5AAAA
PAGEREF _Toc168265559 \h 31Proceso de defuzzificaciónCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANgAwAAAA
PAGEREF _Toc168265560 \h 32Modelo teóricoCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANgAxAAAA
PAGEREF _Toc168265561 \h 33Reglas de inferenciaCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANgAyAAAA
PAGEREF _Toc168265562 \h 34Índice de Sostenibilidad ClimáticaCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANgAzAAAA
PAGEREF _Toc168265563 \h 35Capítulo IV. RESULTADOSCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANgA0AAAA
PAGEREF _Toc168265564 \h 36Capítulo V. DISCUSIÓNCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANgA1AAAA
PAGEREF _Toc168265565 \h 42Capítulo VI. CONCLUSIONESCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANgA2AAAA
PAGEREF _Toc168265566 \h 44REFERENCIASCNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADIANgA1ADUANgA3AAAA
PAGEREF _Toc168265567 \h 46ÍNDICE DE TABLAS TOC \h \z \c "Tabla" Tabla 1. Comparativo de Indicadores del FMI y NGFS.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA3ADcANwAzAAAA
PAGEREF _Toc168347773 \h 13Tabla 2. Indicadores según la categoría.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA3ADcANwA0AAAA
PAGEREF _Toc168347774 \h 24Tabla 3. Datos utilizados para cada variable correspondientes al año 2019.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA3ADcANwA1AAAA
PAGEREF _Toc168347775 \h 27Tabla 4. Reglas de inferencia para para las tres dimensiones AE, PG y CC.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA3ADcANwA2AAAA
PAGEREF _Toc168347776 \h 37Tabla 5. Resultados de los índices de cada dimensión.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA3ADcANwA3AAAA
PAGEREF _Toc168347777 \h 39Tabla 6. Ponderaciones para cada indicador.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA3ADcANwA4AAAA
PAGEREF _Toc168347778 \h 41ÍNDICE DE FIGURAS TOC \h \z \c "Figura" Figura 1. Las tres dimensiones del concepto de sostenibilidad.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA4ADAANAAyAAAA
PAGEREF _Toc168348042 \h 8Figura 2. Pilares del marco TCFD.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA4ADAANAAzAAAA
PAGEREF _Toc168348043 \h 11Figura 3. Emisiones por tipo de gas Gg CO2e (1990 – 2019).CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA4ADAANAA0AAAA
PAGEREF _Toc168348044 \h 18Figura 4. Avance en las metas de generación eléctrica con fuentes limpias (2018-2024).CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA4ADAANAA1AAAA
PAGEREF _Toc168348045 \h 20Figura 5. Evolución de las metas de energía limpia (2022 – 2036).CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA4ADAANAA2AAAA
PAGEREF _Toc168348046 \h 20Figura 6. Gráfica triangular que representa la función de pertenencia μ_A.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA4ADAANAA3AAAA
PAGEREF _Toc168348047 \h 29Figura 7. Funciones de pertenencia para las etiquetas bajo, medio y alto.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA4ADAANAA4AAAA
PAGEREF _Toc168348048 \h 30Figura 8. Modelo teórico para evaluar el cambio climático.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA4ADAANAA5AAAA
PAGEREF _Toc168348049 \h 33Figura 9. Gráfica de las funciones de pertenencia para cada índice.CNDJ6nn5us4RjIIAqgBLqQsCAAAACAAAAA4AAABfAFQAbwBjADEANgA4ADMANAA4ADAANQAwAAAA
PAGEREF _Toc168348050 \h 40Capítulo I. INTRODUCCIÓNEl cambio climático es una problemática creciente, que impacta en la inflación, la estabilidad financiera y el crecimiento económico; generando posibles riesgos financieros para la economía global. Desde una perspectiva de economía ambiental, los principales desafíos que enfrentan los gobiernos y bancos centrales del mundo son la estabilidad financiera, la regulación, supervisión, estrategia de política monetaria e inversión sustentable.Frenar el cambio climático es un desafío a nivel global y México no es la excepción. Este problema ha sido originado substancialmente por la actividad humana y se produce, principalmente, por la acumulación de Gases de Efecto Invernadero (GEI) (OMS, 2018). Por otro lado, el Instituto Nacional de Ecología y Cambio Climático menciona que, “México es uno de los países más vulnerables del mundo ante los efectos del cambio climático debido a su ubicación geográfica y características sociales.” (INECC, 2016). Los riesgos ambientales son cada vez más frecuentes, representando una gran amenaza para el crecimiento y prosperidad a largo plazo a nivel mundial. Transversalmente, ocasiona pérdidas económicas, impactando negativamente al crecimiento económico y la estabilidad financiera. De acuerdo con Rockström (2021), científico reconocido internacionalmente en temas de sostenibilidad global, declaró que, a partir de 2020 y hasta 2030 será determinante para el futuro no sólo de la humanidad, sino para el planeta. El futuro aún no está escrito y está en todas las personas evitar un panorama negativo. El futuro depende de las decisiones del presente. El tema del medio ambiente fue abordado desde 1972 por las Naciones Unidas, buscando crear conciencia moderna política y pública de los problemas ambientales que impactan a todo el mundo. En 2015 las Naciones Unidas adoptó Objetivos de Desarrollo Sostenible (ODS), haciendo un llamado universal, donde México y diversos países se comprometieron a proteger el planeta y avanzar hacia un desarrollo sostenible, entre otros objetivos, con un horizonte al año 2030 (ONU, 2015).El Fondo Monetario Internacional (FMI) ayuda y asesora a sus países miembros, entre ellos México, a enfrentar los desafíos del cambio climático donde las políticas fiscales y macroeconómicas son un componente importante para mitigar estos impactos. Como en toda actividad y en toda organización se requieren elementos que permitan medir o comparar los resultados de forma objetiva, por ello se requiere la construcción de indicadores. Así, el desarrollo sostenible para una nación implica satisfacer las necesidades de su población, a la vez que propicia el cuidado y preservación del medio ambiente. Un instrumento para lograr este desarrollo es proponer indicadores de cambio climático. El FMI (2022), en colaboración con otras organizaciones internacionales ha identificado y desarrollado una serie de indicadores globales agrupándolos en las siguientes categorías: i.actividad económica;ii.transfronterizos;iii.financieros y de riesgo;iv.de política gubernamental; yv.datos sobre el cambio climático.Estos indicadores tienen como finalidad vincular las consideraciones ambientales y los indicadores económicos mundiales, demostrando estadísticamente el impacto que origina la actividad económica en el cambio climático. Con ello, incentivar a los bancos centrales de cada país a la creación de Indicadores con la finalidad de reducir sus emisiones contaminantes. Por otro lado, la Red de bancos centrales y supervisoras para enverdecer el Sistema financiero (NGFS, por sus siglas en inglés), publicó una serie de indicadores para comprender el grado de ecologización del sistema financiero, categorizándolos en las siguientes clases: economía real, informes, riesgo, movilización, regulación e incentivas mundiales; la gran mayoría de estos indicadores concuerdan con los publicados por el FMI (NGFS, 2021).Esto evidencia el interés y utilidad de tener indicadores de cambio climático, que permitan proporcionar información que, a su vez, admita dar seguimiento al desarrollo económico de México y medir su impacto en el medio ambiente. Esto lleva a plantear la siguiente pregunta ¿Cómo pueden los indicadores de cambio climático, basados en lógica difusa y adaptados a las condiciones ambientales y económicas de México, proporcionar una evaluación integral del vínculo entre el cambio climático, las políticas gubernamentales y las actividades económicas y financieras, con el fin de dar seguimiento al desarrollo económico del país y medir su impacto en el medio ambiente?El objetivo general del presente trabajo es desarrollar un índice compuesto que considere la contribución de las actividades financieras, económicas, política gubernamental, gasto público y cambio climático. Este índice se basará en lógica difusa y es adaptado a las condiciones específicas de México. Este índice permitirá evaluar de forma integral el desempeño de México en términos de mitigación del cambio climático. Con el desarrollo de este índice ser podrá realizar una evaluación completa de los esfuerzos que realiza el país en la lucha contra el cambio climático,Asimismo, se identifican tres objetivos específicos:Identificar las variables y dimensiones asociadas al cambio climático en el contexto de México.Proponer un método para estimar los indicadores de cambio climático por dimensión que se ajuste a las condiciones ambientales, económicas y financieras específicas de México.Construir un índice de cambio climático que integre los indicadores identificados en cada dimensión, proporcionando así, una herramienta comprensiva y adaptable para evaluar el impacto del cambio climático en el país. Capítulo II. MARCO TEÓRICOLa modernización se define como el proceso mediante el cual las sociedades tradicionales avanzan hacia formas más evolucionadas que incluyen la urbanización, industrialización, racionalización, expansión de los medios de comunicación, mayor dominio sobre el entorno natural y social, crecimiento económico, y desarrollo político, entre otros aspectos.La Teoría de la Modernización fue propuesta por Talcott Parson, Walt W. Rostow, Arthur Lewis y Simon Kuznets en la década de 1960 como una respuesta al comunismo. Su enfoquesuponía que la modernización y el crecimiento económico podrían generar desarrollo e impedir que los países cayeran bajo el hechizo del marxismo. Si bien fue un aporte significativo en su momento, ahora se ha alejado del paradigma del desarrollo sustentable, la economía circular y la termoeconomía.El proceso de modernización implica una visión lineal, donde se busca imitar a las sociedades más desarrolladas. Esta teoría se encuentra influenciada por una perspectiva darwinista, crea una analogía con la evolución biológica, sugiriendo que la evolución social es un paso de lo tradicional a lo moderno. De acuerdo con este enfoque, existen dos tipos de sociedades: la tradicional y la moderna. Las sociedades tradicionales se caracterizan por relaciones interpersonales basadas en las emociones, influencia religiosa, poblaciones predominantemente rurales y una economía basada en la agricultura y recursos naturales, lo que dificulta el desarrollo de un mercado capitalista.Las sociedades a través del tiempo se han encontrado en constante evolución conforme a las necesidades que se presentan, circunstancias vividas, vinculadas a experiencias conforme al entorno, y recientemente, considerando en mayor medida el factor medio ambiental. Esta transformación se deriva de expectativas sociales y políticas de cada país. Por lo tanto, una sociedad moderna se caracteriza por cúmulo de acciones para el desarrollo cultural, eficiencia en la producción, evolución en la comunicación, tecnología, urbanización, en aras de crecimiento económico y desarrollo político, mediante acuerdos internacionales y nacionales para la reducción de emisiones, a través de soluciones sostenibles.Por otro lado, la ecología política es un campo interdisciplinario que se encuentra en constante desarrollo y evolución, surge como un apoyo teórico y una herramienta analítica, especialmente ante la creciente desigualdad en el consumo de energía y materiales, los efectos no deseados de algunas tecnologías y la generación de desechos tóxicos que impactan en temas socioambientales a distintos alcances y magnitud.Conforme a lo descrito por Paul Robbins, el término "ecología política", utilizado posiblemente por primera vez en 1972 por Eric Wolf en su publicación titulada "Ownership and Political Ecology". Este trabajo ayudó como base para diversos estudios en materia antropológica, así como de ecología cultural.Por ejemplo, es el caso que ocurrió en 2010 en el Golfo de México sobre el escenario de mayor derrame de petrolero de la historia, ocurrido en aguas marinas, ocasionando graves afectaciones a la vida marina, reduciendo su población considerablemente. Por lo tanto, la ecología política se puede definir como la relación entre la sociedad y la naturaleza, estudiando particularmente la correlación de los impactos positivos y negativos al medioambiente contra las acciones político-sociales.Conforme al crecimiento económico y tecnológico de un país avanza, se requiere mayor demanda de explotación y transformación del entorno natural y social, dejando a su paso repercusiones irreversibles en algunos aspectos del medio ambiente. Es por ello que, es importante considerar en gran medida a la naturaleza en el proceso de modernización, incluyendo actividades que modifiquen los sistemas naturales con el fin de que pueda coexistir con la industria. Asimismo, es crucial analizar las partes que comprende el metabolismo socioeconómico, como la transformación, distribución y consumo de energía renovable, materiales amigables con el medio ambiente, así como la disminución de generación de desechos.Paul Robbins utiliza una amplia gama para la definición de ecología política, en su mayoría provienen de autores anglosajones, que de forma global explicar y describe la degradación ambiental motivada por una inadecuada gestión por parte de corporativos y el gobierno. Estas definiciones son de gran aporte para entender la relación cambiante entre las sociedades y los recursos ambientales, así como entre distintas clases y niveles económicos. Además, permite analizar la segregación en el proceso de transformación de la naturaleza y comprender el impacto de la política gubernamental y políticas en general respecto al cambio climático (Delgado, 2013).El concepto de desarrollo sostenible apareció oficinalmente en 1987 en el Informe Brundtland, publicado por la Comisión Mundial del Medio Ambiente y Desarrollo. Este informe enfatizó la importancia del medio ambiente en el crecimiento económico y describió estrategias y recomendaciones para guiar a un desarrollo sostenible que abarque tres dimensiones: ambiental, económica y social.La Teoría de las tres dimensiones del desarrollo sostenible se representa gráficamente con un triángulo equilátero, como se muestra en la Figura 1, donde el punto central representa la zona de equilibrio para el desarrollo sustentable, integrando de manera equitativa la dimensión ambiental, económica y social.Figura SEQ Figura \* ARABIC 1. 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Nota: Teoría de las tres dimensiones de desarrollo sostenible (Artaraz, 2002).Por otro lado, el Acuerdo de París es un tratado internacional sobre el cambio climático legalmente vinculante, que se adoptó por 196 países en la Conferencia de las Naciones Unidas sobre el Cambio Climático (COP21) con sede en París, presenciado el 12 de diciembre de 2015, entrando en vigor el 4 de noviembre de 2016. El Acuerdo de París es el primer tratado que reúne a todos los países en torno a un propósito en común, emprender esfuerzos ambiciosos para combatir el calentamiento global y los efectos del cambio climático.El objetivo del tratado es limitar el calentamiento mundial a muy por debajo de 2 grados centígrados, preferiblemente a 1.5 grados centígrados, en comparación con los niveles preindustriales. Para cumplir con esta meta a largo plazo, los países se comprometieron a reducir al mínimo las emisiones de gases de efecto invernadero con el fin de lograr un planeta con clima neutro para el año 2050.El Acuerdo de París se compone de ciclos de cinco años con medidas climáticas cada vez más ambiciosas para cada país. En 2020, los países presentaron sus planes de acción climática conocidos como contribuciones determinadas a nivel nacional (NDC por sus siglas en inglés), donde se presentaron transformaciones económico-sociales, con apoyo de herramientas existentes y la creación de otras.En las NDC, los países presentan las políticas y medidas que pondrán en acción con el objetivo de reducir al mínimo sus emisiones de gases de efecto invernadero, y con ello cumplir con los objetivos del Acuerdo de París. Asimismo, los países comunican en dichas contribuciones las acciones que considerarán para crear resiliencia y mitigar los efectos originado por el aumento de la temperatura (Naciones Unidas, 2015).Adicionalmente, en 2015 las Naciones Unidas adoptó la Agenda 2030 para el desarrollo sostenible, haciendo un llamado universal, donde México y diversos países se comprometieron a proteger el planeta y avanzar hacia un desarrollo sostenible, entre otros objetivos, con un horizonte al año 2030, mediante los Objetivos de Desarrollo Sostenible (ODS).Conforme a los 17 Objetivos de Desarrollo Sostenible (ODS) adoptados por los líderes mundiales y establecidos por Naciones Unidas, contemplan la parte económica, social y ambiental. Estos objetivos fueron desarrollados mediante consultas públicas y negociaciones entre los países. Los cuales, implican un compromiso común y universal, mediante retos específicos para cada país en la búsqueda de desarrollo sostenible, promover el crecimiento económico sostenido, adoptar medidas urgentes contra el cambio climático, entre otros objetivos de carácter social y económico (ONU, 2015).Los indicadores son elementales para medir y evaluar el progreso de objetivos establecidos, con la finalidad de predecir una tendencia de la situación de un país referente a su economía, crecimiento, impacto ambiental, etc. La creación y definición de indicadores de cambio climático se realizan con el propósito de ser un agregado económico y social para el análisis de la crisis climática en la economía de México.Las actividades antropogénicas están ocasionando el calentamiento global, originado principalmente por la combustión de carbón, petróleo y gas; la generación de electricidad, la construcción y el desarrollo de la ganadería que, propicia los fenómenos meteorológicos y ocasiona la pérdida de biodiversidad. En consecuencia, la suma de los efectos mencionados está causando el agotamiento de recursos naturales necesarios para la vida humana y la vida silvestre.La medición del desarrollo y su relación con el crecimiento de un país ha generado diversas discusiones en economía. No obstante, no es un tema aislado de otras disciplinas. En palabras de Vallejo Zamudio (2009), el Producto Interno Bruto (PIB) permite medir el crecimiento económico pero muy cuestionable a la hora de medir de forma eficiente el bienestar de la población. En las últimas décadas ha surgido la idea de que los modelos económicos no contemplan algunos elementos físicos desde un enfoque local y global (Torres Tovar, Adame Martínez, & Campos Medina, 2014). Los factores externos derivados de las actividades y necesidades de la población han impactado de forma negativa al medio ambiente, por lo que, es necesario abordar el crecimiento económico de una nación, asegurando el bienestar de las futuras generaciones, derivándose de esto el desarrollo sostenible. Estado del arteEs de gran importancia y relevancia que el mercado financiero cuente con información transparente, oportuna y de calidad respecto al impacto originado por el cambio climático; incluyendo los riesgos a los que se enfrenta el mundo por el aumento de la temperatura, así como las oportunidades que tiene cada país, las políticas ambientales que se implementen, así como las tecnologías emergentes para nuestro planeta en evolución. Los principales impactos de esta problemática creciente se pueden ver reflejados en la inflación, la estabilidad financiera y el crecimiento económico de los países; generando posibles riesgos financieros para la economía global. Por lo anterior, desde una perspectiva de economía ambiental, los principales desafíos que enfrentan los gobiernos y bancos centrales del mundo son la estabilidad financiera, la regulación, supervisión, estrategia de política monetaria e inversión sustentable.El Grupo de Trabajo sobre Divulgaciones Financieras relacionadas con el Clima (TCFD) fue creado por el Consejo de Estabilidad Financiera en 2015 para impulsar el desarrollo de finanzas verdes, a través de la evaluación de riesgos financieros con el objeto de involucrar a las empresas en su planificación estratégica. A medida que esto ocurre, crece la concientización en las empresas y en los inversionistas sobre los beneficios financieros asociados con una economía baja en carbono y la disminución de los riesgos ambientales. Esta información es de gran apoyo para la toma de decisiones, que permitirán una gestión más eficiente del capital. Las recomendaciones de divulgación del TCFD, se construyen en torno a cuatro pilares: gobernanza, estrategia, gestión de riesgos y métricas y objetivos, como se puede observar en la Figura 2. Las cuatro recomendaciones están interrelacionadas y respaldadas por 11 divulgaciones sugeridas, que construyen un panorama con información en aras de ayudar a los inversores y empresas a comprender cómo piensan las organizaciones informantes y evalúan los riesgos, así como las oportunidades relacionadas con el clima (TCFD, 2017).Figura SEQ Figura \* ARABIC 2. Pilares del marco TCFD.iVBORw0KGgoAAAANSUhEUgAABPQAAAJICAIAAABpAy0MAAAAAXNSR0IArs4c6QAAAARnQU1BAACx
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Nota: Grupo de Trabajo sobre Divulgaciones Financieras relacionadas con el Clima (TCFD) (2017).Respecto al Tablero de indicadores de cambio climático del Fondo Monetario Internacional (FMI) fue dirigido por el Departamento de Estadística del FMI y diseñado en cooperación con la Organización para la Cooperación y el Desarrollo Económico (OECD), Grupo del Banco Mundial (WBG), Naciones Unidas (UN), la Comisión Europea, la Oficina Europea de Estadística (Eurostat), la Organización de las Naciones Unidas para la Agricultura y la Alimentación (FAO), la Agencia Internacional de Energía (IEA) y la Administración Nacional Oceánica y Atmosférica (NOAA).Esta iniciativa estadística internacional fue creada para abordar el análisis de la estabilidad macroeconómica y financiera desde el enfoque climático, con el objetivo de convertirse en un agregador integral de indicadores estadísticos sobre cambio climático, emisiones de gases de efecto invernadero derivados de la actividad económica, el comercio de bienes ambientales, finanzas verdes, políticas gubernamentales y, por último, los riesgos físicos y de transición (IMF, 2022).La Red de Bancos Centrales y Supervisores para la ecologización del Sistema financiero (NGFS por sus siglas en inglés), lanzada en la “Cumbre One Planet” de París en 2017, es un grupo voluntario de bancos centrales y supervisores alrededor del mundo, dispuestos a compartir las mejores prácticas y contribuir al desarrollo de la gestión del riesgo ambiental y climático en el sector financiero y a movilizar la financiación general para apoyar la transición hacia una economía sostenible (NGFS, 2019).El principal propósito de la NGFS es contribuir al cumplimiento de los objetivos del Acuerdo de París y también, reforzar el sistema financiero para la gestión de riesgos y movilización del capital para inversiones en finanzas verdes y bajas en carbono para un desarrollo ambiental sostenible. Para este fin, la NGFS publicó una serie de indicadores para comprender la importancia de enverdecer el sistema financiero (NGFS, 2019).En la Tabla 1 se muestra un comparativo de los indicadores publicados por el Fondo Monetario Internacional (FMI) y los indicadores de la Red para enverdecer el Sistema financiero (NGFS por sus siglas en inglés).Tabla SEQ Tabla \* ARABIC 1. Comparativo de Indicadores del FMI y NGFS.CATEGORÍAFMIFondo Monetario InternacionalNGFS Red para la ecologización del Sistema financieroActividad económicaEmisiones de gases de efecto invernaderoInventarios y objetivos nacionales de emisionesCo2 Emisiones, intensidades de emisiones y multiplicadores de emisionesTransición energéticaConsumo de energía renovableFinancieros y de riesgoHuella de carbono de los préstamos bancariosBonos VerdesVolúmenes de bonos verdes emitidos y vencidos: TotalVolúmenes de bonos verdes emitidos y vencidos: gobiernos y supranacionalesVolúmenes de bonos verdes emitidos y vencidos: Instituciones financierasVolúmenes de bonos verdes emitidos y vencidos: empresas de servicios públicos y generación de energíaVolúmenes de bonos sociales emitidos y vencidos: TotalFlujos totales de financiamiento climático globalPrincipios para los signatarios de Inversión ResponsablePenetración de seguros distintos de los de vidaRiesgos físicos - Riesgo INFORM impulsado por el climaPérdidas económicas por extremos relacionados con el climaRiesgos de transición - Preparación de los países para una transición baja en carbonoVulnerabilidad al cambio climático y preparación para mejorar la resilienciaPolítica gubernamentalImpuestos ambientalesIniciativas de fijación de precios del carbonoInstrumentos políticos relacionados con la inversión responsableGasto público en protección del medio ambienteGasto nacional en protección del medio ambienteIngresos fiscales relacionados con el medio ambienteSubsidios a los combustibles fósilesSubvenciones a los combustibles fósilesSubvenciones motivadas por el medio ambienteDatos sobre el cambio climáticoCambio anual de temperatura de la superficieConcentraciones mensuales mundiales de dióxido de carbono atmosféricoEmisiones de carbonoCambio en los niveles medios del marIndicador de alteración de la cubierta terrestre Frecuencia de los desastres relacionados con el climaRentas de recursos naturalesAgotamiento neto de los bosquesInformesEmpresas y otras organizaciones comprometidas a apoyar a TCFDCapitalización de mercado y activos totales alineados con TCFDTransfronterizosEmisiones de Co2 incorporadas en la demanda final interna, la producción y el comercioComercio de bienes ambientalesComercio bilateral de bienes ambientalesComercio de productos con tecnología baja en carbonoComercio bilateral de productos con tecnología baja en carbonoEmisiones de Co2 en la formación bruta de capital fijo (FBCF)Emisiones de Co2 en la producción y el comercio transfronterizo por propiedad de la empresaNota. Riesgo INFORM: Es una evaluación de riesgos global de código abierto para crisis humanitarias y desastres. TCFD: Task Force on Climate-related Financial Disclosures (Grupo de Trabajo sobre Divulgaciones Financieras relacionadas con el Clima).Los indicadores financieros observan la inversión y apoyo a una economía baja en carbono, el desarrollo del mercado de bonos verdes; así como, los riesgos asociados con el cambio climático que involucran el riesgo físico y riesgos de transición. Respecto a los Bonos Verdes, Azules, Sustentables y ligados a la sostenibilidad, la Bolsa Mexicana de Valores (BMV) (2015) presentó el instrumento “Bono Verde”, convirtiéndose en la primera Bolsa de América Latina en ofrecer un segmento dedicado a Bonos Verdes, con la finalidad de incentivar el desarrollo de finanzas sustentables y la transición de México hacia una economía baja en carbono. El Bono Verde es un instrumento financiero para obtener recursos para uso es exclusivo para invertir o reinvertir, parcial o totalmente, proyectos que sean parte de los siguientes sectores:Energía renovable: Generación de energía renovable, para su construcción, mantenimiento de plantas de energía eólica, solar, geotérmica, mareomotriz e hidroeléctrica, así como y producción de equipos para generación de energía renovable y eficiencia energética.Construcción sustentable: Mejoramiento en edificios existentes respecto al consumo de agua y energía.Eficiencia energética: Mejoras en tecnología industrial, procesos, equipos e instalaciones para reducir el uso de energía y emisiones contaminantes. También, cogeneración, reciclaje y uso de calor residual.Transporte limpio: Transporte ferroviario urbano y mejoramiento en la eficiencia energética de los sistemas de transporte.Agua, adaptación: Proyectos de potabilización y distribución de agua potable urbana.Revitalización de ríos y restauración de hábitat: Conservación de ecosistemas marinos, manglares y ambientes costeros, así como la prevención y control de sequías e inundaciones.Manejo de residuos, captura de metano.Agricultura, bioenergía, forestación, cadena de abastecimiento de alimento: Desarrollo de agricultura verde, proyectos de forestación y reforestación, generación de energía con biomasa y biocombustibles, así como, protección y restauración de la naturaleza y prevención de desastres.Los Bonos Sustentables son una combinación de bonos verdes y bonos sociales. Los recursos obtenidos son destinados para invertir o reinvertir en proyectos que pertenezcan a una de las siguientes categorías que se detallan a continuación:Infraestructura básica asequible: Proyectos de agua potable, alcantarillado, drenaje y letrinas, urbanización, electrificación rural, bodegas de almacenamiento de granos, así como mantenimiento de infraestructura, entre otros.Infraestructura de servicios públicos: Servicios dedicados a la salud y la educación.Recuperación de desastres: Obras de reconstrucción de infraestructura de servicios públicos dañada y apoyos para la población afectada por desastres naturales.Transporte sostenible.Energía renovable.Eficiencia Energética.Eficiencia del agua y manejo de aguas residuales: Productos o tecnología que reduzcan el consumo de agua o mejore la eficiencia de los recursos.Prevención y control de la contaminación: Proyectos que reduzcan las emisiones contaminantes y residuos sólidos o peligrosos o suelo contaminado (Banobras, sin fecha).Respecto a los Bonos Soberanos Sustentables vinculados a los Objetivos de Desarrollo Sostenible (ODS), fueron emitidos por primera vez por México, el 14 de septiembre de 2020. Este bono fue creado con la finalidad de cumplir con los compromisos de la Agenda 2030 y los recursos obtenidos son para financiar proyectos de los siguientes sectores:i.Agricultura y desarrollo ruralii.Saludiii.Educacióniv.Crecimiento económicov.Infraestructura, transporte y comunicacionesvi.Medio ambiente y recursos naturalesvii.Energía(SHCP, 2022)Los Bonos ligados a la Sostenibilidad son un instrumento de deuda mediante el cual se obtienen recursos para usos corporativos en general, donde sus características varían en función del logro de ciertos objetivos e indicadores claves de actuación (KPIs) de sostenibilidad. A diferencia de los bonos verdes, sociales y sustentables, este bono utiliza los recursos para un propósito general, por lo tanto, no es necesario relacionarlo con un proyecto específico, ni clasificar el uso de los recursos (BMV, sin fecha).El objetivo de los Bonos Azules es contribuir a la protección de los ecosistemas marinos y, en general, a la preservación de todo el planeta. Los recursos obtenidos en el mercado de Bonos Azules se enfocan en la inversión de los siguientes proyectos:i.Gestión de aguas y residuosii.Producción de energíaiii.Transporte marítimoiv.Ecoturismo costero (Santander, 2024)Los Indicadores de la categoría Actividad económica, examinan las emisiones de gases de efecto invernadero procedentes de la actividad económica y los objetivos de mitigación determinados por los países para reducir sus emisiones nacionales. En la Figura 3, se presentan las Emisiones de Gases de Efecto Invernadero (GEI) de nuestro país de 1990 a 2019. Como se puede observar, el dióxido de carbono (CO2) es el principal GEI en el país, ocasionado por el aumento de la demanda energética en México y al uso de vehículos de transporte.Figura SEQ Figura \* ARABIC 3. Emisiones por tipo de gas Gg CO2e (1990 – 2019).iVBORw0KGgoAAAANSUhEUgAABBYAAAIECAYAAACt7K0AAAAAAXNSR0IArs4c6QAAAARnQU1BAACx
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Nota: Secretaría de Medio Ambiente y Recursos Naturales e Instituto Nacional de Ecología y Cambio Climático (2022). Información y elaboración de Gobierno de México.Las emisiones de metano (CH₄) y emisiones de óxido nitroso (N₂O) son producidas principalmente por la fermentación entérica, excretas del ganado, emisiones de petróleo y gas, la disposición final de residuos sólidos, el tratamiento y eliminación de aguas residuales.Por último y en menor medida, se encuentran los hidrofluorocarbonos (HFC), perfluorocarbonos (PFC), trifluoruro de nitrógeno (NF3) y el hexafluoruro de azufre (SF6) (INEEC, 2022).Asimismo, es importante observar la producción de gases de efecto invernadero derivadas de las importaciones, exportaciones, así como la demanda interna del país; comparando la cantidad total de emisiones generadas por la producción de bienes y servicios de México, contra las emisiones creadas por la demanda de bienes y servicios del país, a fin de analizar si el país opera con déficit o superávit de emisiones.Respecto a las energías renovables son aquellas derivadas de fuentes naturales, por ejemplo, energía solar, eólica, geotérmica, hidroeléctrica, etc. Por el contrario, la generación de energías no renovables, provienen de combustibles fósiles, como el carbón, petróleo y gas, que, al quemarse para transformarlo en energía, producen gases de efecto invernadero.En la Figura 4 se observa el avance de generación eléctrica con fuentes limpias respecto a la meta establecida para México del año 2018 al 2024. Además, en la Figura 5 se muestra la evolución de la participación de la generación con Energía Limpia en GWh y en porcentaje con respecto a la generación total de energía, asimismo, se observan las metas establecidas de generación de energía limpia y la proyección al año 2036 para el país.Figura SEQ Figura \* ARABIC 4. Avance en las metas de generación eléctrica con fuentes limpias (2018-2024).iVBORw0KGgoAAAANSUhEUgAAAfQAAAISCAYAAAA6Iz2IAAAAAXNSR0IArs4c6QAAAARnQU1BAACx
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Nota: Programa de Desarrollo del Sistema Eléctrico Nacional (PRODESEN) 2023-2037. Secretaría de Energía (SENER) (2023). Información de Centro Nacional de Control de Energía (CENACE), Comisión Reguladora de Energía (CRE), Comisión Federal de Electricidad (CFE) y elaboración de la Secretaría de Energía (SENER).Figura SEQ Figura \* ARABIC 5. Evolución de las metas de energía limpia (2022 – 2036).iVBORw0KGgoAAAANSUhEUgAAAxwAAAIpCAYAAAAoxz6iAAAAAXNSR0IArs4c6QAAAARnQU1BAACx
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Nota: Programa de Desarrollo del Sistema Eléctrico Nacional (PRODESEN) 2022-2036. Secretaría de Energía (SENER) (2022). Información de Centro Nacional de Control de Energía (CENACE) y elaboración de la Secretaría de Energía (SENER).Respecto a los indicadores de política gubernamental, éstos muestran cómo los gobiernos están respondiendo al cambio climático a través de impuestos y gastos basados en estadísticas oficiales y subsidios implícitos y explícitos a los combustibles fósiles basados en estimaciones basadas en modelos. Los indicadores de política gubernamental se componen de: (i) ingresos públicos provenientes de impuestos ambientales, que el gobierno de México ha implementado sobre energía, transporte, contaminación y consumo de recursos; ii) el gasto público para la protección del medio ambiente, como la reducción de la contaminación, protección de la biodiversidad y de los paisajes, manejo de residuos, entro otros; y (iii) subsidios explícitos y subsidios implícitos a los combustibles fósiles, para medir el impacto respecto a la política gubernamental en los precios de combustibles fósiles contra los precios no subsidiados, tomando el consideración el cambio climático.Los Impuestos ambientales o también denominados "impuestos verdes" son instrumentos económicos o de mercado, que tienen la finalidad de añadir el costo ambiental negativo por la producción o el uso de bienes a los precios finales. Lo anterior, con el objetivo de influir en el comportamiento del consumidor, así como del productor, motivando el consumo de productos o servicios que priorizan el ambiente. En consecuencia, aumenta el ingreso gubernamental con el objeto de destinar los recursos obtenidos en pro del medio ambiente. Este indicador mide la participación de los impuestos ambientales, expresada en porcentaje respecto al Producto Interno Bruto (PIB).En cuanto al Gasto público en protección del medio ambiente, México se ha planteado metas más estrictas para proteger y defender la biodiversidad y los paisajes, y para ello, la inversión de recursos públicos para la conservación, protección y recuperación del medio ambiente y recursos naturales es indispensable para la protección del capital natural del país. Como se ha ido mencionando durante el presente trabajo, la quema de combustibles fósiles tiene importantes costos ambientales, en gran medida debido a la contaminación atmosférica local y los daños provocados por el aumento de temperatura de la tierra. Los costos ambientales tienen la finalidad de medir el impacto respecto a la política gubernamental en los precios de combustibles fósiles contra los precios no subsidiados, tomando en consideración el cambio climático, lo anterior, expresado en porcentaje respecto al PIB.Existe una correlación entre los países en desarrollo y el aumento de subsidios implícitos, debido a que dichos países cuentan con centrales energéticas, fábricas y vehículos de mayor contaminación; dado de presentan mayor densidad poblacional, incrementando el consumo de combustibles fósiles, mientras se dirigen hacia niveles de economías avanzadas.Si los gobiernos suprimieran los subsidios explícitos y aplicaran impuestos correctivos, ocasionaría que los precios de los combustibles aumenten, orillando a los corporativos y a los consumidores tomar en cuenta los costos ambientales y reevaluar el uso de combustibles fósiles. De esta forma, habría una gran reducción de las emisiones gases de efecto invernadero y los gobiernos tendrían un beneficio en materia fiscal.El índice de subsidios fósiles muestra el valor estimado de los subsidios explícitos más los implícitos, otorgados por el gobierno, relacionados con los combustibles fósiles, como el petróleo, electricidad, carbón y gas natural. Los subsidios explícitos reflejan precios bajos debido a que los costos de suministro son mayores que los precios pagados por los usuarios. Los subsidios implícitos reflejan la diferencia entre los costos de oferta y los precios socialmente eficientes, incorporando el costo por el impacto negativo del uso de combustibles fósiles y los ingresos por impuestos al consumo no percibidos. Los indicadores de la categoría Cambio climático examinan las concentraciones atmosféricas de dióxido de carbono, así como las tendencias del calentamiento global, como el aumento del nivel del mar, el aumento de las temperaturas y la frecuencia de los desastres naturales, que son indicadores clave para monitorear el cambio climático y sus impactos en las poblaciones.En cuanto al calentamiento mundial, el objetivo del acuerdo de París es no superar el cambio de la temperatura de la tierra de 2 grados centígrados, y de manera prioritaria mantenerla a 1.5°C, en comparación con los niveles preindustriales. Para alcanzar este meta, es vital que los países miembros del tratado internacional reduzcan al mínimo sus emisiones de gases de efecto invernadero para lograr un planeta con clima neutro lo antes posible.Los bosques contienen la mayor reserva de carbono terrestre y, por lo tanto, los cambios en los bosques, como en su extensión y condición, pueden conducir a un bajo almacenamiento de carbono y provocar un calentamiento global más rápido. Por lo anterior y conforme a los objetivos de desarrollo sostenible, en específico el objetivo 15 establece: “Proteger, restablecer y promover el uso sostenible de los ecosistemas terrestres, gestionar sosteniblemente los bosques, luchar contra la desertificación, detener e invertir la degradación de las tierras y detener la pérdida de biodiversidad”. Para ello, México se ha comprometido a adoptar medidas para reducir la degradación de los hábitats naturales y promover su recuperación. Por otra parte, para un estudio posterior, se podrá calibrar el modelo, utilizando como lineamientos las variables descritas en la Tabla 2, así como la integración de una categoría adicional, “Transfronterizo”.Tabla SEQ Tabla \* ARABIC 2. Indicadores según la categoría.DimensiónVariableFinancieroHuella de carbono de los préstamos bancariosPérdidas económicas relacionados con el climaPolítica gubernamentalSubsidios motivados por el medio ambienteRiesgos de transición - Preparación de los países para una transición baja en carbonoCambio climáticoCambio en los niveles medios del marIndicador de alteración de la cubierta terrestreTransfronterizoComercio de bienes ambientalesComercio bilateral de bienes ambientalesComercio de productos con tecnología baja en carbonoComercio bilateral de productos con tecnología baja en carbonoEn virtud de que el cambio climático es una prioridad en la agenda global, y su comprensión y evaluación se han vuelto fundamentales para abordar los desafíos ambientales contemporáneos, se observa de lo anterior que se ha adoptado una perspectiva integral que desglosa la complejidad del fenómeno en diversos indicadores de cambio climático. Estos indicadores, que abarcan aspectos financieros, actividad económica, política gubernamental y el propio cambio climático, se erigen como pilares para la comprensión holística de la dinámica climática y sus interrelaciones con la sociedad y la economía.Por tanto, este trabajo se centra en establecer un Índice de Sostenibilidad Climática a través de las dimensiones: financiero, actividad económica, política gubernamental y cambio climático.En el año 2011, A. Rahman, M. Mat y S. Sharif publicaron el artículo “Evaluación de la sostenibilidad mediante métodos de inferencia difusa” en la Revista Internacional de Energía Sostenible, donde proponen un método integral para evaluar la sostenibilidad para la toma de mejores decisiones. En el artículo exponen que, adoptaron el enfoque de lógica difusa con la finalidad de trabajar simultáneamente con datos cualitativos y cuantitativos, debido a que el método propuesto comprende tres aspectos: ambiental, económico y social.Los autores trabajaron con los siguientes indicadores para la programación del modelo: recursos, calentamiento global, contaminación, riesgos, costos, social, tecnológico y procesos. Al transformar los subelementos de sostenibilidad cuantitativos y cualitativos en un valor de índice, se reduce la complejidad del proceso de toma de decisiones. Los índices de subelementos los agregaron para obtener un único valor de índice conocido como indicador de sostenibilidad.Por otro lado, mediante la publicación “Metodología para la realización de un diagnóstico de la gestión de indicadores ambientales en la administración pública” realizada por R, Miranda, S. Reyes, G. Gómez y O. Goicochea de la Fundación Universidad del Norte de Cuba, emplearon el método análisis-síntesis desde la revisión de literatura, investigación especializada y la experiencia de expertos en el diseño y aplicación de la metodología hipotético-deductivo. Adicionalmente, utilizaron como insumos algunas encuestas y entrevistas en materia medioambiental, así como, métodos estadísticos para el análisis de datos y validación de los resultados.Los autores propusieron tres etapas dentro de la metodología, la primera, identificación de la organización, donde estudian las particularidades de la organización y vislumbrar los fines de los indicadores. La segunda etapa, estudio de los indicadores, que analiza el comportamiento en relación con los objetivos y metas definidas y, por último, la etapa 3, análisis del diagnóstico, donde se analizan los resultados conforme el comportamiento de los indicadores a través del tiempo, asimismo se buscan causas y posibles soluciones.Para este método, explican los autores, se tomó como referencia el esquema Presión – Estado – Respuesta (PER), implementado en México. Este esquema se basa en una lógica de causalidad, donde las actividades humanas realizan presiones sobre el ambiente, cambiando la calidad y cantidad de los recursos naturales, evaluando el estado. En consecuencia, la respuesta se presenta cuando la sociedad actúa ante estos cambios, regulados por políticas ambientales, económicas y sectoriales. Este modelo atiende tres principales preguntas: ¿Qué está afectando al ambiente?, ¿Qué está pasando con el estado del ambiente? y ¿Qué estamos haciendo acerca de estos temas? (SEMARNAT, 2020).Capítulo III. DISEÑO METODOLÓGICOEn este capítulo, se describirá en detalle el enfoque metodológico empleado, destacando los fundamentos teóricos de la lógica difusa y su aplicación práctica en el análisis de los indicadores de cambio climático. Asimismo, se proporcionará una visión general de la estructura analítica que guiará nuestra investigación, delineando los pasos metodológicos que se seguirán para alcanzar los objetivos planteados.DatosEn la Tabla 3 se muestran los datos que fueron utilizados para el modelo. La información corresponde al año 2019, el cual fue utilizado debido a que era el ejercicio con el que se contaba con la información más reciente de todos los indicadores, al momento de realizar el presente trabajo.Tabla SEQ Tabla \* ARABIC 3. Datos utilizados para cada variable correspondientes al año 2019.DimensiónVariableUnidadMedidaFFinancieraF1Bonos verdes, azules, sustentables y ligados a la sostenibilidad AEActividad económica AE1Emisiones de gases de efecto invernadero 557,560.35 Gg CO2e AE2Huella de carbono de la actividad económica 429.45 Gg CO2eAE3Producción de energía renovable 22.20 % PGPolítica gubernamental PG1Impuestos ambientales 1.37 % del PIB PG2Gasto público en protección del medio ambiente 853.29 per cápita PG3Subsidios a los combustibles fósiles 4.60 % del PIB CCCambio climático CC1Cambio de temperatura de la superficie 1.38 ° CCC2Frecuencia de los desastres relacionados con el clima 6 eventosCC3Agotamiento neto de los bosques 34.17 % del área totalConjuntos difusosLa lógica difusa se originó en la ingeniería y generalmente es ocupada por sistemas expertos de inteligencia artificial. Sin embargo, también se emplea en disciplinas como las ciencias sociales y dentro de las empresas en áreas administrativas como contabilidad, finanzas y recursos humanos.Los conjuntos difusos son generalizaciones de los conjuntos clásicos. En la lógica clásica, un objeto o elemento pertenece o no a un conjunto. Por el contrario, la lógica difusa permite que un elemento pertenezca a varios conjuntos. Para cada conjunto hay un grado de verdad de que un objeto pertenece a un conjunto difuso. Según Bojadziev y Bojadziev el concepto fundamental de la lógica difusa es el grado de pertenencia.La función de pertenencia QUOTE AQAAAGwAAAAAAAAAAAAAAF0AAAATAAAAAAAAAAAAAAAgCQAAyQEAACBFTUYAAAEAjEAAADABAAAD
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. Usando la noción del conjunto difuso convexo se puede definir el número difuso. Un conjunto difuso QUOTE AQAAAGwAAAAAAAAAAAAAAAsAAAATAAAAAAAAAAAAAAD9AAAAyQEAACBFTUYAAAEAZCEAAFMAAAAD
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Nota: Elaboración propia.Un número triangular difuso está determinado por tres parámetros definidos en una lista QUOTE AQAAAGwAAAAAAAAAAAAAAEwAAAATAAAAAAAAAAAAAABwBwAAyQEAACBFTUYAAAEAXEUAAD4BAAAD
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como el pico del triángulo. La función de pertenencia correspondiente está representada por: QUOTE AQAAAGwAAAAAAAAAAAAAAOkAAABlAAAAAAAAAAAAAAAEFwAA6wkAACBFTUYAAAEAbPEAAHoGAAAD
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de la función de pertenencia para el número triangular difuso se muestra en la Figura 6. Para los conjuntos difusos se tienen operadores análogos a los correspondientes operadores de la lógica clásica. Se define el operador difuso de la conjunción de la siguiente forma: para los conjuntos difusos QUOTE AQAAAGwAAAAAAAAAAAAAAAsAAAATAAAAAAAAAAAAAAD9AAAAyQEAACBFTUYAAAEAZCEAAFMAAAAD
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/////////xgAAACRBm0AkAZpAI8GZgCPBmIAjgZfAI0GXACMBlkAiwZXAIsGVgCKBlUAigZVAIkG
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//////8YAAAAnQZwAJ4GdACfBngAnwZ7AKAGfgChBoAAoQaCAKIGhACiBoUAowaGAKMGhwCkBogA
pAaJAKUGiQClBokApgaKAKYGigCnBooAqAaKAKoGiQCrBogArAaHAK4GhQCwBoEAWQAAACAAAAAA
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PQAAAAgAAAA8AAAACAAAAD4AAAAYAAAArAAAAAgAAAC0AAAADwAAACUAAAAMAAAAAAAAgDsAAAAI
AAAAGwAAABAAAAAAAAAAAAAAAFkAAAAsAAAAAAAAAAAAAAD//////////wQAAAAAAAAAAAC0AFcH
tABXBwAAPAAAAAgAAABDAAAADAAAAAUAAAA7AAAACAAAABsAAAAQAAAAAAAAAAAAAABZAAAALAAA
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AAAAAAAAAP//////////AQAAAOUGbQBYAAAANAAAAAAAAAAAAAAA//////////8GAAAA5QZdAOMG
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3wamANUGrQDHBrEAWQAAACAAAAAAAAAAAAAAAP//////////AQAAAMUGrABYAAAANAAAAAAAAAAA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En la evaluación que se propone se utilizarán tres variables: bajo ( QUOTE AQAAAGwAAAAAAAAAAAAAAAkAAAATAAAAAAAAAAAAAADLAAAAyQEAACBFTUYAAAEAzCAAAE4AAAAD
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). Las ecuaciones de la función de pertenencia para cada grado de entrada que se utilizarán para este trabajo están dadas por las gráficas de pertenencia dadas en la Figura 7. Figura SEQ Figura \* ARABIC 7. Funciones de pertenencia para las etiquetas bajo, medio y alto.iVBORw0KGgoAAAANSUhEUgAAA4AAAAJ5CAYAAAD/3l4yAAAAAXNSR0IArs4c6QAAAARnQU1BAACx
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AAB6BwAAiwIAAFkAAAAgAAAAAAAAAAAAAAD//////////wEAAAB6B4sCWAAAAKwAAAAAAAAAAAAA
AP//////////JAAAAHsHiQJ7B4cCeweGAnsHhAJ7B4ICeweBAnsHfQJ7B3oCeQd4AncHdgJ0B3UC
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/////wQAAAAAAAAAAADrAroL6wK6CwAAPAAAAAgAAABDAAAADAAAAAUAAAA7AAAACAAAABsAAAAQ
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GAAAAMsAAABFAAAA0QAAAE0AAAAlAAAADAAAAAAAAIA7AAAACAAAABsAAAAQAAAAAAAAAAAAAABZ
AAAALAAAAAAAAAAAAAAA//////////8EAAAAAAAAAAAA6wK6C+sCugsAADwAAAAIAAAAQwAAAAwA
AAAFAAAAOwAAAAgAAAAbAAAAEAAAAAAAAAAAAAAAWQAAACwAAAAAAAAAAAAAAP//////////BAAA
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AAAlAAAADAAAAAAAAIA7AAAACAAAABsAAAAQAAAAAAAAAAAAAABZAAAALAAAAAAAAAAAAAAA////
//////8EAAAAAAAAAAAA6wK6C+sCugsAADwAAAAIAAAAQwAAAAwAAAAFAAAAOwAAAAgAAAAbAAAA
EAAAAAAAAAAAAAAAWQAAACwAAAAAAAAAAAAAAP//////////BAAAAAAAAAAAAOsCugvrAroLAAA8
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LAAAAAAAAAAAAAAA//////////8EAAAAAAAAAAAA6wK6C+sCugsAADwAAAAIAAAAQwAAAAwAAAAF
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AFkAAAAsAAAAAAAAAAAAAAD//////////wQAAAAAAAAAAADrAroL6wK6CwAAPAAAAAgAAABDAAAA
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/////wQAAAAAAAAAAADrAroL6wK6CwAAPAAAAAgAAABDAAAADAAAAAUAAAA7AAAACAAAABsAAAAQ
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AP//////////BAAAAAAAAAAAAOsCugvrAroLAAA8AAAACAAAAEMAAAAMAAAABQAAADsAAAAIAAAA
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CwAAPAAAAAgAAABDAAAADAAAAAUAAAA7AAAACAAAABsAAAAQAAAAAAAAAAAAAABZAAAALAAAAAAA
AAAAAAAA//////////8EAAAAAAAAAAAA6wK6C+sCugsAADwAAAAIAAAAQwAAAAwAAAAFAAAAOwAA
AAgAAAAbAAAAEAAAAAAAAAAAAAAAWQAAACwAAAAAAAAAAAAAAP//////////BAAAAAAAAAAAAOsC
ugvrAroLAAA8AAAACAAAAEMAAAAMAAAABQAAADsAAAAIAAAAGwAAABAAAAAAAAAAAAAAAFkAAAAs
AAAAAAAAAAAAAAD//////////wQAAAAAAAAAAADrAroL6wK6CwAAPAAAAAgAAABDAAAADAAAAAUA
AAA7AAAACAAAABsAAAAQAAAAAAAAAAAAAABZAAAALAAAAAAAAAAAAAAA//////////8EAAAAAAAA
AAAA6wK6C+sCugsAADwAAAAIAAAAQwAAAAwAAAAFAAAAOwAAAAgAAAAbAAAAEAAAAAAAAAAAAAAA
WQAAACwAAAAAAAAAAAAAAP//////////BAAAAAAAAAAAAOsCugvrAroLAAA8AAAACAAAAEMAAAAM
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AAAAAABZAAAALAAAAAAAAAAAAAAA//////////8EAAAAAAAAAAAA6wK6C+sCugsAADwAAAAIAAAA
QwAAAAwAAAAFAAAAOwAAAAgAAAAbAAAAEAAAAAAAAAAAAAAAWQAAACwAAAAAAAAAAAAAAP//////
////BAAAAAAAAAAAAOsCugvrAroLAAA8AAAACAAAAEMAAAAMAAAABQAAADsAAAAIAAAAGwAAABAA
AAAAAAAAAAAAAFkAAAAsAAAAAAAAAAAAAAD//////////wQAAAAAAAAAAADrAroL6wK6CwAAPAAA
AAgAAABDAAAADAAAAAUAAAA7AAAACAAAABsAAAAQAAAAAAAAAAAAAABZAAAALAAAAAAAAAAAAAAA
//////////8EAAAAAAAAAAAA6wK6C+sCugsAADwAAAAIAAAAQwAAAAwAAAAFAAAAOwAAAAgAAAAb
AAAAEAAAAAAAAAAAAAAAWQAAACwAAAAAAAAAAAAAAP//////////BAAAAAAAAAAAAOsCugvrAroL
AAA8AAAACAAAAEMAAAAMAAAABQAAADsAAAAIAAAAGwAAABAAAAAAAAAAAAAAAFkAAAAsAAAAAAAA
AAAAAAD//////////wQAAAAAAAAAAADrAroL6wK6CwAAPAAAAAgAAABDAAAADAAAAAUAAAA7AAAA
CAAAABsAAAAQAAAAAAAAAAAAAABZAAAALAAAAAAAAAAAAAAA//////////8EAAAAAAAAAAAA6wK6
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ADsAAAAIAAAAGwAAABAAAAAAAAAAAAAAAFkAAAAsAAAAAAAAAAAAAAD//////////wQAAAAAAAAA
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AAAAAAAAAAAAWQAAACwAAAAAAAAAAAAAAP//////////BAAAAAAAAAAAAOsCugvrAroLAAA8AAAA
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AAAA
La función de pertenencia que corresponde a la variable de entrada medio ( QUOTE AQAAAGwAAAAAAAAAAAAAAA8AAAATAAAAAAAAAAAAAABjAQAAyQEAACBFTUYAAAEAHCMAAFoAAAAD
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/wQAAAAAAAAAAAB0BNcLdATXCwAAPAAAAAgAAABDAAAADAAAAAUAAAA7AAAACAAAABsAAAAQAAAA
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AAAA//////////8EAAAAAAAAAAAAdATXC3QE1wsAADwAAAAIAAAAQwAAAAwAAAAFAAAAOwAAAAgA
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La función de pertenencia que corresponde a la variable de entrada alto ( QUOTE AQAAAGwAAAAAAAAAAAAAAAwAAAATAAAAAAAAAAAAAAAXAQAAyQEAACBFTUYAAAEAzCIAAFYAAAAD
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Estas funciones de pertenencia corresponden a figuras geométricas simétricas. Variables lingüísticasUna variable lingüística a diferencia de una numérica, considera palabras en lugar de números. Una variable lingüística es un concepto de orden superior al de una variable difusa; por lo tanto, considera las variables difusas como valores. Los valores de una variable numérica se visualizan como puntos de trazado, mientras que los de una variable lingüística se representan como regiones con bordes difusos. Las variables lingüísticas se convierten en el medio para la caracterización aproximada de fenómenos demasiado complejos o mal definidos para ser descritos en términos precisos.Los conceptos del cerebro humano para percibir, reconocer y clasificar los fenómenos naturales suelen ser vagos e imprecisos. Una función de pertenencia asigna valores de la variable de dominio a un grado de pertenencia en el conjunto, que van desde QUOTE AQAAAGwAAAAAAAAAAAAAAAkAAAATAAAAAAAAAAAAAADLAAAAyQEAACBFTUYAAAEAvCAAAE0AAAAD
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. La variable difusa juega el mismo papel en el modelo propuesto que la variable aleatoria en probabilidad. El uso de variables lingüísticas en varias aplicaciones reduce la complejidad de cálculo general de la aplicación. Se ha demostrado que las variables lingüísticas son particularmente útiles en aplicaciones complejas no lineales.Según Zadeh, una variable lingüística es una variable cuyos valores son palabras u oraciones en un lenguaje natural o artificial. Una variable lingüística es una QUOTE AQAAAGwAAAAAAAAAAAAAAAkAAAATAAAAAAAAAAAAAADLAAAAyQEAACBFTUYAAAEAECEAAFEAAAAD
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AAAAAAAAAAAAAAAJAAAAEAAAAGkAAAC2AAAADAAAABAAAAAAAAAAAAAAAAsAAAAQAAAACwAAABMA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AAAAAP//////////CQAAAGIAKABhACkAYAAqAF4AKwBdACwAWwAuAFkAMABVADQAUAA7AFkAAAAk
AAAAAAAAAAAAAAD//////////wIAAAA5AFYARAB2AFgAAABMAAAAAAAAAAAAAAD//////////wwA
AABGAHoASAB+AEkAgQBKAIMASwCFAEwAhgBMAIcATQCIAE4AiABOAIkAUACJAFEAigBZAAAAKAAA
AAAAAAAAAAAA//////////8DAAAAUACOADEAjgAyAIoAWAAAAEAAAAAAAAAAAAAAAP//////////
CQAAADQAiQA2AIkANwCHADkAhgA5AIQAOQCCADkAfwA5AHwANwB4AFkAAAAkAAAAAAAAAAAAAAD/
/////////wIAAAAvAGAAHgB3AFgAAABMAAAAAAAAAAAAAAD//////////wwAAAAbAHoAGQB9ABgA
fwAXAIEAFgCDABYAhAAWAIYAFwCIABgAiAAYAIkAGgCKABwAigBZAAAAKAAAAAAAAAAAAAAA////
//////8DAAAAGwCOAP//jgAAAIoAWAAAAEAAAAAAAAAAAAAAAP//////////CQAAAAAAiQACAIgA
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AFgAIAA4AFgAAABAAAAAAAAAAAAAAAD//////////wkAAAAeADMAHQAvABwALQAbACsAGgAqABkA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. En este trabajo se define la variable lingüística en función de QUOTE AQAAAGwAAAAAAAAAAAAAABsAAAATAAAAAAAAAAAAAACUAgAAyQEAACBFTUYAAAEADCMAAGcAAAAD
AAAAAAAAAAAAAAAAAAAA7AQAALEDAABAAQAA8AAAAAAAAAAAAAAAAAAAAADiBACAqQMARgAAAHAa
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está definido por las funciones que se muestran en la Figura 7.En este estudio, se presenta un método para integrar un enfoque difuso en una evaluación de pertinencia que consta de los siguientes cuatro pasos:(1) Recopilación de datos (clasificación y agrupación de datos en sus respectivas categorías de impacto),(2) determinación de índices de subelementos usando conjuntos difusos,(3) determinación de índices de elementos principales y(4) determinación de índices de pertinencia.Proceso de defuzzificaciónLa defuzzificación es un proceso en el ámbito de la lógica difusa que tiene como objetivo convertir resultados difusos en resultados nítidos y cuantificables. En un sistema difuso, las reglas operan sobre variables difusas, asignando grados de pertenencia a conjuntos difusos para representar la incertidumbre o imprecisión en la información. La defuzzificación es crucial para interpretar estos resultados y traducirlos en valores concretos que puedan ser utilizados en la toma de decisiones.En este proceso, los resultados difusos generados por las reglas del sistema difuso se transforman en conjuntos nítidos. Existen diversas técnicas de defuzzificación, y una de las más comunes es el método del centro de gravedad. Este método implica la superposición de los conjuntos difusos resultantes, creando una forma geométrica compuesta. Luego, se calcula el centroide de esta forma, conocido como centroide difuso. La coordenada x del centroide proporciona el valor defuzzificado, que representa la interpretación nítida del resultado difuso original.La defuzzificación es esencial en aplicaciones prácticas, especialmente en sistemas de control difuso, donde se requiere convertir los resultados difusos en acciones concretas y comprensibles. Este proceso ayuda a mitigar la pérdida de información al proporcionar una representación más clara y utilizable de los resultados obtenidos mediante lógica difusa.Modelo teóricoPara analizar el cambio climático se separó la información en cuatro elementos llamados indicadores de cambio climático: financiero, actividad económica, política gubernamental y cambio climático. Cada uno de estos indicadores se divide en variables de entrada (Ver Figura 8). Figura SEQ Figura \* ARABIC 8. Modelo teórico para evaluar el cambio climático.iVBORw0KGgoAAAANSUhEUgAABCMAAAQ5CAYAAAD4AsU1AAAAAXNSR0IArs4c6QAAAARnQU1BAACx
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M3. Agrupación de los conjuntos difusos truncados: Se obtiene un único conjunto difuso a partir de las salidas, cuya función de pertenencia es:AQAAAGwAAAAAAAAAAAAAAGIBAAAWAAAAAAAAAAAAAAAFIwAAFQIAACBFTUYAAAEAGLoAADgEAAAD
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M4.- Defuzzificación del conjunto difuso agrupado: Se calcula el centroide del conjunto agrupado.Se puede encontrar ejemplos de implementación del sistema de Mamdani en Matlab en MathWorks, sin fecha específica disponible. Mediante lógica difusa se analiza la información de las variables de entrada con reglas de inferencia difusas, las cuales permiten realizar una toma de decisiones para información que no posee una característica cuantitativa exacta. Para realizar las reglas de inferencia partimos del concepto de variables lingüísticas, las cuales son funciones de pertenencia de los números reales al intervalo [0,1]. Para este trabajo se usaron tres grados de entrada para cada variable: Bajo ( QUOTE AQAAAGwAAAAAAAAAAAAAAAkAAAATAAAAAAAAAAAAAADLAAAAyQEAACBFTUYAAAEAzCAAAE4AAAAD
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). El número de reglas de inferencia depende del grado de las variables de entrada y del número de variables de variables, en este caso se tienen tres grados de entrada: bajo ( QUOTE AQAAAGwAAAAAAAAAAAAAAAkAAAATAAAAAAAAAAAAAADLAAAAyQEAACBFTUYAAAEAzCAAAE4AAAAD
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QwAAAAwAAAAFAAAAOwAAAAgAAAAbAAAAEAAAAAAAAAAAAAAAWQAAACwAAAAAAAAAAAAAAP//////
////BAAAAAAAAAAAAL4AIQK+ACECAAA8AAAACAAAAEMAAAAMAAAABQAAADsAAAAIAAAAGwAAABAA
AAAAAAAAAAAAAFkAAAAsAAAAAAAAAAAAAAD//////////wQAAAAAAAAAAAC+ACECvgAhAgAAPAAA
AAgAAABDAAAADAAAAAUAAAA7AAAACAAAABsAAAAQAAAAAAAAAAAAAABZAAAALAAAAAAAAAAAAAAA
//////////8EAAAAAAAAAAAAvgAhAr4AIQIAADwAAAAIAAAAQwAAAAwAAAAFAAAAKAAAAAwAAAAB
AAAAKAAAAAwAAAACAAAADgAAABQAAAAAAAAAEAAAABQAAAA=
reglas de inferencia que se tendrán para cada uno de los índices.Índice de Sostenibilidad ClimáticaEn seguida se calcularán los índices de elementos que permiten medir el cambio climático, se denotarán por QUOTE AQAAAGwAAAAAAAAAAAAAAAsAAAAWAAAAAAAAAAAAAAD9AAAAFQIAACBFTUYAAAEAPCkAAGgAAAAD
AAAAAAAAAAAAAAAAAAAA7AQAALEDAABAAQAA8AAAAAAAAAAAAAAAAAAAAADiBACAqQMARgAAAKAf
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comprenden las dimensiones: financiero, actividad económica, política gubernamental y cambio climático. Estos índices pueden ser calculados desde la agregación de los índices de los subelementos QUOTE AQAAAGwAAAAAAAAAAAAAABAAAAAWAAAAAAAAAAAAAAB8AQAAFQIAACBFTUYAAAEASCwAAHgAAAAD
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AAAFAAAAKAAAAAwAAAABAAAAKAAAAAwAAAACAAAADgAAABQAAAAAAAAAEAAAABQAAAA=
, se calculará a través de las reglas de inferencia. El Índice de Sostenibilidad Climática se calculará a través de los índices financieros, actividad económica, política gubernamental y cambio climático con la siguiente fórmulaAQAAAGwAAAAAAAAAAAAAAHEAAAAmAAAAAAAAAAAAAAA1CwAAxQMAACBFTUYAAAEAqFYAALgBAAAD
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Capítulo IV. RESULTADOSEl Índice de Sostenibilidad Climática se construirá a partir de los índices de cada una de las dimensiones mostradas en el modelo teórico de la Figura 8. Las salidas están dadas por los valores Bajo ( QUOTE AQAAAGwAAAAAAAAAAAAAAAkAAAATAAAAAAAAAAAAAADLAAAAyQEAACBFTUYAAAEAzCAAAE4AAAAD
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). A continuación, se muestran las funciones que serán utilizadas para estos valores de salida utilizando la Fórmula 1.La función de pertenencia triangular para la variable de entrada Bajo QUOTE AQAAAGwAAAAAAAAAAAAAABcAAAATAAAAAAAAAAAAAAAuAgAAyQEAACBFTUYAAAEAFCYAAIAAAAAD
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Como se mencionó previamente, se calculará el índice para cada dimensión y posteriormente, se integran en un Índice de Sostenibilidad Climática. La primera dimensión que se abordará es la financiera que se denotará por QUOTE AQAAAGwAAAAAAAAAAAAAAAsAAAATAAAAAAAAAAAAAAD9AAAAyQEAACBFTUYAAAEAyCEAAFIAAAAD
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), será evaluada a través de las siguientes tres variables:AE1 Emisiones de gases de efecto invernaderoAE2 Huella de carbono de la actividad económicaAE3 Producción de energía renovableLa tercera dimensión es la Política gubernamental (PG) y será evaluada a través de las siguientes tres variables:PG1 Impuestos ambientalesPG2 Gasto público en protección del medio ambientePG3 Subsidios a los combustibles fósilesLa cuarta dimensión es Cambio climático (CC) y será evaluada a través de las siguientes tres variables:CC1 Cambio de temperatura de la superficieCC2 Frecuencia de los desastres relacionados con el climaCC3 Agotamiento neto de los bosquesLas reglas de inferencia utilizadas para las dimensiones AE, PG y CC se muestran en la Tabla 4. Tabla SEQ Tabla \* ARABIC 4. Reglas de inferencia para para las tres dimensiones AE, PG y CC.ReglaI1I2I3Índice IReglaI1I2I3Índice IReglaI1I2I3Índice IR(V)1LLLLR(V)10MLLLR(V)19HLLMLR(V)2LLMLR(V)11MLMLMR(V)20HLMMR(V)3LLHLMR(V)12MLHMR(V)21HLHMHR(V)4LMLLR(V)13MMLLMR(V)22HMLMR(V)5LMMLMR(V)14MMMMR(V)23HMMMHR(V)6LMHMR(V)15MMHMHR(V)24HMHHR(V)7LHLLMR(V)16MHLMR(V)25HHLMHR(V)8LHMMR(V)17MHMMHR(V)26HHMHR(V)9LHHMHR(V)18MHHHR(V)27HHHHLas reglas pueden leerse de la siguiente manera: Para V = Actividad económica: Si la Emisión de gases de efecto invernadero es baja y la Huella de carbono de la actividad económica es baja y la Producción de energía renovable es bajo, entonces la Actividad económica tiene un impacto bajo en el cambio climático. A partir de las reglas de Inferencia, se obtiene la función de pertenencia con los valores de salida y en consecuencia cada índice que aparece en la Fórmula 1: AQAAAGwAAAAAAAAAAAAAABgBAAAlAAAAAAAAAAAAAACtGwAAkgMAACBFTUYAAAEA/IUAABkDAAAD
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, se consideraron las variables que se indican en la Figura 8: Emisiones de gases de efecto invernadero, Huella de carbono de la actividad económica y Producción de energía renovable. Se consideró que, para Emisiones de gases de efecto invernadero lo ideal es cero; para Huella de actividad económica, el ideal es cero también y para Energía renovable el valor ideal es del 27% respecto del total de energía producida (meta para México para el año 2019). Respecto al índice de Política Gubernamental QUOTE AQAAAGwAAAAAAAAAAAAAABYAAAATAAAAAAAAAAAAAAAVAgAAyQEAACBFTUYAAAEAYC4AAHkAAAAD
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, se encuentran las variables igualmente indicadas en la Figura 8: Impuestos ambientales, Gasto público en protección del medio ambiente y Subsidios a los combustibles fósiles. Por lo anterior, se consideró para Impuestos ambientales que lo ideal es 0.98, valor de la mediana de impuestos ambientales como porcentaje del PIB del año 1993 a 2021; para Gasto público en protección del medio ambiente el ideal es 878.99, valor de la mediana del gato público per cápita en protección ambiental del año 2003 a 2021 y para Subsidios a los combustibles fósiles el valor ideal es de cero.Por último, para el índice de Cambio climático QUOTE AQAAAGwAAAAAAAAAAAAAABQAAAATAAAAAAAAAAAAAAD7AQAAyQEAACBFTUYAAAEASCwAAHIAAAAD
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, conforme a la Figura 8, las variables son: Cambio de temperatura de la superficie, Frecuencia de los desastres relacionados con el clima y Agotamiento neto de los bosques. Se consideró como valor ideal para la variable Cambio de temperatura de la superficie de 0° C; para Frecuencia de los desastres relacionados con el clima el valor ideal es de cero y respecto a la variable Agotamiento neto de los bosques se consideró el valor de la mediana del porcentaje de bosques respecto al área total, es decir 33.98%.Los resultados de cada índice se obtienen del valor de salida para determinar el grado de pertenencia a cada conjunto difuso. Esto es, se obtiene un valor número entre 0 y 1, este proceso se puede visualizar a través de la gráfica de la función de pertenencia de la variable de salida. Los resultados se muestran en la Tabla 5.Tabla SEQ Tabla \* ARABIC 5. Resultados de los índices de cada dimensión.AQAAAGwAAAAAAAAAAAAAAA0AAAATAAAAAAAAAAAAAABKAQAAyQEAACBFTUYAAAEAxCkAAGMAAAAD
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). El primer paso de la fuzzificación es considerar el valor de entrada y determinar el grado de al cual pertenece a cada uno de los conjuntos difusos apropiados a través de las funciones de membresía. El resultado es un número único que varía de cero a uno. Así, la salida del proceso de implicación es una conclusión difusa de cada regla de inferencia. Este proceso es representado por una función de pertenencia que se muestran en la Figura 9. En el caso del índice Financiero QUOTE AQAAAGwAAAAAAAAAAAAAAA0AAAATAAAAAAAAAAAAAABKAQAAyQEAACBFTUYAAAEAfCoAAG0AAAAD
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el resultado de la fuzzificación que corresponde al valor de pertenencia de cada variable de entrada (con valores entre 0 y 1).PonderacionesTabla SEQ Tabla \* ARABIC 6. Ponderaciones para cada indicador.AQAAAGwAAAAAAAAAAAAAAA0AAAATAAAAAAAAAAAAAABKAQAAyQEAACBFTUYAAAEAxCkAAGMAAAAD
AAAAAAAAAAAAAAAAAAAA7AQAALEDAABAAQAA8AAAAAAAAAAAAAAAAAAAAADiBACAqQMARgAAALgf
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0.300.300.200.20Para actividad financiera y económica se consideraron ponderaciones de 30%, para implementar medidas que permitan mitigar el cambio climático. Este 30% refleja la importancia en término de viabilidad y efectividad de sus acciones. Para Política Gubernamental se consideró 20%, en virtud de la importancia de éstas en la creación de un entorno propicio. Por último, para Cambio Climático se tomó el 20%: Esta propuesta puede modificarse. Se tomaron estos valores para ilustrar el índice propuesto. Por último, se calcula el índice que integra estas cuatro dimensiones: AQAAAGwAAAAAAAAAAAAAACECAAAmAAAAAAAAAAAAAAARNgAAxQMAACBFTUYAAAEAXMEAANkFAAAD
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Esto es, el índice toma como valor mínimo cero y como valor máximo uno, por lo tanto, un valor de 0.092 indica que las actividades para mitigar el cambio climático en México no son suficientes. Recuérdese que el cero representa la ausencia de actividades efectivas para mitigar el cambio climático. Mientras que el 1 representa el valor máximo de eficacia en estas actividades. Por lo tanto, el valor 0.092 indica que de nivel de efectividad de las acciones que se han implementado es bajo. Únicamente se ha logrado un 9.2% nivel de sostenibilidad climática. Por tanto, México afronta grandes retos y desafíos del cambio climático. Esto puede deber a factores diversos y no relacionados con las dimensiones aquí consideradas. Sin embargo, el índice aquí propuesto permite realizar una evaluación integral.Capítulo V. DISCUSIÓNEn palabras de Adrián Fernández Bremauntz, presidente de la Iniciativa Climática de México detalló en la COP 27, celebrada en Egipto en el año 2022, detalló que México se comprometió a incrementar la meta de reducción de emisiones de dióxido de carbono (CO2) a 35% para el 2030, en comparación del 22% planteado en 2015. Asimismo, expresó: “falta que nuestro país publique una ruta detallada de implementación para alcanzar esta meta”.El Grupo Intergubernamental de Expertos sobre el Cambio Climático (IPCC) es un organismo intergubernamental establecido en conjunto por la Organización Meteorológica Mundial (OMM) y el Programa de las Naciones Unidas para el Medio Ambiente (PNUMA). El IPCC publicó en el informe de síntesis de 2014 lo siguiente: “La actividad humana es actualmente la causa principal del calentamiento global. Además, el Informe de síntesis concluye que cuanto mayor sea la perturbación de la actividad humana sobre el clima, mayores serán los riesgos de impactos graves, generalizados e irreversibles en las personas y los ecosistemas, y más duraderos serán los cambios en todos los componentes del sistema climático. El Informe de síntesis destaca que disponemos de los medios para limitar el cambio climático y sus riesgos y de muchas soluciones que permiten el continuo desarrollo económico y humano. Sin embargo, para estabilizar el aumento de la temperatura por debajo de 2 °C respecto de los niveles preindustriales será necesario un cambio radical y urgente del statu quo. Además, cuanto más esperemos a actuar, mayores serán el costo y los desafíos tecnológicos, económicos, sociales e institucionales que enfrentaremos.”Conforme al artículo “Política del cambio climático en México: avances, obstáculos y retos” de Fabiola S. Sosa, publicado por el INEGI en 2015, expuso lo siguiente respecto al cambio climático (CC) y la mitigación y adaptación (M&A): “No todas las estrategias de CC han tenido los resultados esperados en materia de M&A debido a diversos obstáculos, como: 1) la falta de participación y concientización de la sociedad sobre el CC; 2) los malentendidos acerca de los objetivos, procesos y resultados de estas acciones entre las agencias gubernamentales y 3) la carencia de coordinación y colaboración entre diversos sectores. Asimismo, la ilegalidad y apatía de la población para conocer en qué consiste el CC, sus impactos y cómo podrían contribuir para hacerle frente han dificultado la implementación exitosa de estrategias de M&A…Hasta el momento, los avances en materia de M&A en el país han sido deficientes. De 1990 al 2010, México incrementó sus emisiones de GEI en 187 MtCO2e, cifra que representa un aumento de 33.40% en ese periodo, lo cual se explica por un mayor consumo de combustibles fósiles…Con base en los inventarios de GEI, se podría concluir que la conservación de los bosques ha favorecido la reducción de las emisiones atribuidas a cambios en el uso de suelo en 27.05% en el periodo 1990-2010. Sin embargo, se piensa que esta cifra está sobrestimada, ya que no existe suficiente información para calcular con certeza la contribución de este sector en la generación de CO2 y/o su captura…Dada la limitación de los recursos humanos, financieros y tecnológicos, la integración de las estrategias y los programas existentes que contribuyan a hacer frente a este fenómeno podrían favorecer la reducción de los costos y aumentar la eficacia de las respuestas gubernamentales. Por lo pronto, los avances en materia de M&A en México no han sido suficientes para reducir las emisiones de GEI, las cuales han aumentado 187.01 MtCO2e entre 1990 y el 2010, mientras que el desarrollo de las capacidades de adaptación se ha visto limitada por el incremento de la pobreza.”Capítulo VI. CONCLUSIONESEn el presente trabajo se propuso un Índice de Sostenibilidad Climática, mediante la aplicación de la metodología de lógica difusa. Las funciones de pertenencia empleadas en esta investigación asignan los valores de entrada a los conjuntos difusos (Bajo, Medio-bajo, Medio, Medio-alto, Alto) para cada variable. Esto permite capturar la imprecisión asociada los datos relacionados con la sostenibilidad. A través de las reglas de inferencia establecen reglas lógicas entre las variables y se utilizaron para determinar el grado de pertenencia de cada variable a cada conjunto difuso y con esto calcular los índices para cada dimensión.Por su parte, las ponderaciones reflejan la importancia de cada dimensión en el contexto de mitigar el cambio climático que posteriormente permitieron el cálculo del Índice de Sostenibilidad Climática.Para el modelo se utilizaron tres variables: bajo (L), medio (M), alto (H) con las variables de salida: bajo (L), medio-bajo (LM), medio (M), medio-alto (MH), alto (H). Posteriormente, en el proceso de defuzzificación se convirtieron los resultados difusos en resultados nítidos y cuantificables, los cuales se utilizaron a fin de interpretar los resultados y traducirlos en valores concretos que pudieran ser utilizados para la toma de decisiones.Respecto a la integración del índice, se propusieron cuatro indicadores: financiero, actividad económica, política gubernamental y cambio climático, cada uno con las variables de entrada descritas en la Figura 8. Mediante reglas de inferencia, se fuzzificaron las entradas y se obtuvo el grado de pertenencia y con ello, se calculó el Índice de Sostenibilidad Climática.Durante la construcción del modelo de Índice de Sostenibilidad Climática, se presentaron algunas limitaciones en el proceso, debido a la disponibilidad de información relacionada a temas sustentables, finanzas verdes y cambio climático para México, ya que la información se encontró limitada y en algunos casos inexistente. Asimismo, el modelo fue realizado con datos del ejercicio 2019, en virtud de que es la información más reciente publicada para algunas de las variables utilizadas en el modelo. Por lo anterior, al momento de realizar el presente trabajo y a fin de homologar la información, no se logró realizar el índice de los ejercicios de 2020 a 2023, debido a que no se obtuvieron los datos de algunas variables para los años mencionados.Por otro lado, respecto a las ponderaciones propuestas para cada indicador, es decir de 0.30 para el financiero, 0.30 para actividad económica, 0.20 de política gubernamental y 0.20 para cambio climático, así como los valores máximos y mínimos podrían ajustarse de acuerdo con la opinión y evaluación de expertos en la materia.Para futuras investigaciones, se estima ampliar las variables para cada dimensión, como se describió en la Tabla 2 del presente trabajo, así como, la integración de un quinto indicador. Lo anterior, conforme a una mayor disponibilidad de datos y construcción de información que sea publicada por diversas instituciones y organismos enfocados a combatir el cambio climático desde la perspectiva económico-financiero.En consecuencia, la adaptabilidad del modelo de Índice de Sostenibilidad Climática ofrece una oportunidad de añadir información y conducir a resultados que permitan un análisis integral para el seguimiento y toma de decisiones en materia de economía ambiental para instituciones y organismos dedicados a la búsqueda de estrategias de solución y revertir los daños causados a nuestro planeta.REFERENCIASInternational Monetary Fund. (2022). Climate Change Indicators Dashboard. Recuperado de: https://climatedata.imf.org/The Copenhagen Centre on Energy Efficiency (Copenhagen Centre). (2021). Dashboard on scaling up green finance. 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