衡量墨西哥的绿色经济增长:国家、州和地理区域层面的建议

Francisco Iván Hernández-Cuevas, Ángel Braulio García Caraveo, Rodrigo Humberto Bautista Pedraza, Gabriela Zapata Caballero, Daniel Soto Chalita
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引用次数: 0

摘要

环境(气候变化)、经济(衰退)和社会(贫困和不平等加剧)危机迫使我们必须改变模式和制定全球战略,以抵消它们的负面影响,并朝着低碳排放、有效利用资源和能源、具有社会包容性、预防生物多样性和生态系统服务丧失并能够实现可持续发展的经济类型发展。这就是绿色经济概念的由来。采用定量方法,利用官方数据库,基于经济合作与发展组织(2011)绿色增长框架,在相对化函数下构建了墨西哥绿色经济增长指数,并在国家、州和地理区域层面进行了估计,从而对该国的绿色经济有了更深入的了解。结果显示,全国平均表现为0.4746,其中“可持续发展的经济、人口和社会背景”维度、“生活质量的环境维度”和“自然资产基础”维度得分最高,而“环境资源和经济生产力”维度和“经济机会和政策响应”维度得分最低。对方差结果的分析显示,地理区域之间存在统计学上的显著差异,这就要求制定考虑到该国各地区特殊情况的公共、环境、能源和生产政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Green Economic Growth in Mexico: National, State, and Geographic Region Levels Proposal
The environmental (climate change), economic (recessions), and social (increase in poverty and inequality) crises have forced the need for a change of model and the development of global strategies to counteract their negative effects and orient towards a type of economy that is low in carbon emissions, efficient in the use of resources and energy, socially inclusive, preventive in the loss of biodiversity and ecosystem services and that allows achieving sustainable development, which is how the concept of green economy arises. With a quantitative approach, using official databases and based on the Organization for Economic Co-operation and Development (2011) green growth framework, a Green Economic Growth Index for Mexico was constructed under the relativization function, which was estimated at the national, state, and geographic region levels, allowing for a deeper understanding of the green economy in the country. The results show an average national performance (0.4746), with the dimensions "Economic, demographic and social context for sustainable development," "Environmental dimension of quality of life," and "Natural asset base" having the best scores, while the dimension "Productivity of environmental resources and the economy" and "Economic opportunities and policy response" have the lowest scores. The analysis of variance results shows statistically significant differences by geographic regions, which calls for developing public, environmental, energy, and productive policies that consider the particular conditions of the country's regions.
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