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Income distribution and environmental quality in China: A spatial econometric perspective

机译:中国收入分配与环境质量的空间计量经济学视角

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Paying heed to a surge of concern about the serious and continuous environmental degradation that is currently being witnessed in China, in this paper we investigate whether income distribution contributes to environmental deterioration. Environmental degradation can be linked not only to income growth, we argue, but also to increases in income inequality. The study calculated the Gini coefficient of 31 province using a data set of 403 city level data in mainland China and estimated the linkage between income distribution and environmental deterioration utilizing balanced data for 31 Chinese provinces during the period 1996-2015. First, the degree of environmental pollution was calculated by constructing a comprehensive index system, which was formulated using the entropy method, based on six environmental indicators. Then, a spatial panel regression model was also employed in order to estimate whether income inequality is likely to be a relevant factor in environmental deterioration in China. The estimation results showed that: using the index and spatial analysis techniques, significant spatial positive agglomeration were found existing between Chinese provinces in terms of their levels of environmental degradation; the influencing factors estimation results substantiated the existence of an invert U-shaped relation, lending support to the Environmental Kuznets curve theory; more importantly, the study found that income inequality played a significant role in preventing environmental degradation, suggesting that an appropriate level of income inequality over a delimited period is beneficial to improving environmental quality. It should, however, also be emphasized that optimizing the country's income distribution is remains an important long-term task for the Chinese government; other factors were found to exert different types and magnitudes of impacts on environmental pollution. Results showed that many factors-for instance, energy intensity, the share of secondary industry, population density, and foreign direct investment-contribute to environmental deterioration. Conversely, our findings also indicate that rising urbanization levels can have a positive effect on environmental quality. In addition, no clear evidence was found to suggest that local government expenditure is related to environmental degradation. (C) 2018 Elsevier Ltd. All rights reserved.
机译:考虑到人们对中国当前持续严重的环境恶化的担忧,本文研究了收入分配是否导致环境恶化。我们认为,环境恶化不仅与收入增长有关,而且与收入不平等的增加也有联系。该研究使用中国大陆403个城市水平的数据集计算了31个省的基尼系数,并利用1996-2015年中国31个省的平衡数据估算了收入分配与环境恶化之间的联系。首先,通过建立一个综合指标体系来计算环境污染程度,该指标体系是根据六个环境指标采用熵值法制定的。然后,还使用空间面板回归模型来估计收入不平等是否可能是中国环境恶化的相关因素。估计结果表明:利用指标和空间分析技术,发现中国各省之间在环境退化程度方面存在显着的空间正集聚;影响因素估计结果证实了存在倒U型关系,为环境库兹涅茨曲线理论提供了支持。更重要的是,研究发现收入不平等在防止环境恶化方面起着重要作用,这表明一定时期内适当程度的收入不平等对改善环境质量是有益的。但是,还应该强调,优化国家的收入分配仍然是中国政府的一项重要的长期任务。发现其他因素会对环境污染产生不同类型和程度的影响。结果表明,许多因素,例如能源强度,第二产业的份额,人口密度和外国直接投资,都导致了环境恶化。相反,我们的发现还表明,城市化水平的提高可以对环境质量产生积极影响。此外,没有明确的证据表明地方政府的支出与环境恶化有关。 (C)2018 Elsevier Ltd.保留所有权利。

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