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Does skewed pattern of income distribution matter for the environmental quality? Evidence from selected BRICS economies with an application of Quantile-on-Quantile regression (QQR) approach

机译:收入分配的倾斜模式对环境质量是否重要?运用分位数分位数回归(QQR)方法从选定的金砖国家经济体获得的证据

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摘要

Using annual data from 1980 to 2014, the study explores the relationship between carbon emissions and skewed pattern of income distribution among 4 selected BRICS economies (e.g. Brazil, India, China and South Africa). Using Quantile-on-Quantile regression (QQR) technique of Sim and Zhou (2015), it tries to contribute towards an empirical understanding on the quantile structure of both the variables for the selected BRICS countries. It finds for India and Brazil that as income rises, although both lower and upper income people degrade the environmental quality by releasing more CO2 emissions but interestingly, it is the poor who intensively degrade the environmental quality than the rich. In sharp contrast, for China and South Africa, it finds that it is the poor who relatively contribute less to the environmental degradation by reducing CO2 emissions than the rich. These findings have greater policy significances which are discussed at the concluding section in greater detail.
机译:该研究使用1980年至2014年的年度数据,探讨了碳排放与金砖四国(如巴西,印度,中国和南非)的收入分配的偏斜模式之间的关系。使用Sim and Zhou(2015)的分位数对分位数回归(QQR)技术,它有助于对所选金砖国家的两个变量的分位数结构进行实证理解。它为印度和巴西发现,随着收入的增加,尽管低收入和高收入人群都通过释放更多的二氧化碳而降低了环境质量,但有趣的是,穷人比富人严重破坏了环境质量。与此形成鲜明对比的是,对于中国和南非,发现穷人通过减少CO2排放而对环境退化的贡献相对于富人相对较少。这些发现具有更大的政策意义,将在结论部分详细讨论。

著录项

  • 来源
    《Energy Policy》 |2019年第6期|120-131|共12页
  • 作者单位

    CDS, Trivandrum 695011, Kerala, India;

    Indian Inst Technol, Dept Humanities & Social Sci, Madras, Tamil Nadu, India;

    Indian Inst Technol, Dept Humanities & Social Sci, Kharagpur 721302, W Bengal, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CO2 emissions; Income distribution; QQR; BRICS;

    机译:二氧化碳排放;收入分配;QQR;金砖四国;

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