收入不平等、经济复杂性和可再生能源对控制消费型碳排放的影响。

IF 3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Evaluation Review Pub Date : 2024-02-01 Epub Date: 2023-05-08 DOI:10.1177/0193841X231173766
Recep Ulucak, Danish, Yaoqi Zhang, Rui Chen, Yiting Qiu
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引用次数: 0

摘要

尽管对可再生能源在环境中的作用进行了许多研究,但文献忽略了社会经济指标在可再生能源与污染关系中的潜在作用。此外,与收入不平等和经济复杂性等关键因素相关的重要问题也没有得到恰当的回答。本研究探讨了收入不平等、经济复杂性、可再生能源消费、人均 GDP 和污染之间的关系,旨在通过揭示经验证据来制定有效的政策战略。本研究采用环境影响模型结构,并进行面板校正标准误差和固定效应回归。研究选取了金砖国家(巴西、俄罗斯、印度、中国和南非)。采用了样本国家 1990-2017 年的年度数据。使用基于消费的二氧化碳排放量作为环境污染指标,因为收入不平等在经济消费方面更有意义,与消费者而非生产部门更相关。研究结果表明,收入不平等对基于消费的二氧化碳排放有积极而显著的影响。然而,人均国内生产总值、可再生能源和经济复杂性会减少污染。同时还发现,不平等与可再生能源的交互项会减少排放量。研究结果证实,社会经济指标,如经济复杂性和收入不平等与可再生能源的相互作用,是减少排放和设计更绿色未来的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Income Inequality, Economic Complexity, and Renewable Energy Impacts in Controlling Consumption-Based Carbon Emissions.

Although many studies have been conducted on the role of renewable energy in the environment, literature has ignored the potential role of socioeconomic indicators in renewable energy and pollution nexus. Also, critical questions arose with the critical factors, such as income inequality and economic complexity, have not been answered properly. This study explores the nexus between income inequality, economic complexity, renewable energy consumption, GDP per capita, and pollution and thus aims to reach efficient policy strategies by revealing empirical evidence. The study follows an environmental impact model structure and conducts the panel-corrected standard errors and fixed effect regression. BRICS countries (Brazil, Russia, India, China, and South Africa) are selected to conduct our research. Annual data covering the period 1990-2017 for the sample countries are employed. Consumption-based carbon dioxide emissions as an indicator of environmental pollution are used since income inequality makes more sense in terms of the consumption side of an economy and is more related to consumers rather than the production sector. The obtained results reveal that income inequality has a positive and significant impact on consumption-based carbon dioxide emissions. However, GDP per capita, renewable energy, and economic complexity reduce pollution. It is also observed that the interaction term of inequality and renewable energy decreases emissions. Findings confirm that socioeconomic indicators, such as economic complexity and income inequality with the interaction of renewable energy, are crucial factors in reducing emissions and designing a greener future.

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来源期刊
Evaluation Review
Evaluation Review SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
2.90
自引率
11.10%
发文量
80
期刊介绍: Evaluation Review is the forum for researchers, planners, and policy makers engaged in the development, implementation, and utilization of studies aimed at the betterment of the human condition. The Editors invite submission of papers reporting the findings of evaluation studies in such fields as child development, health, education, income security, manpower, mental health, criminal justice, and the physical and social environments. In addition, Evaluation Review will contain articles on methodological developments, discussions of the state of the art, and commentaries on issues related to the application of research results. Special features will include periodic review essays, "research briefs", and "craft reports".
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