基于面板数据的中国区域水环境污染EKC分析
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EKC of regional water environment in China based on panel data
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    摘要:

    为深入探讨环境指标选择对库兹涅茨曲线(EKC)的影响,利用对数多项式函数,通过改变具体水环境污染指标,分别采用工业废水排放量、工业废水排放当量以及提出污染感知度等环境指标与人均GDP进行模型拟合。研究发现,环境指标越能反映真实水环境污染情况,拟合结果越符合EKC规律,中国的水环境污染和人均GDP的关系在统计上符合EKC规律。探讨水资源丰富程度和经济发达程度对EKC的影响。水资源匮乏的省份,水环境质量与经济增长符合EKC规律。经济发达的省份,水环境持续恶化的趋势全部得到扭转,经济落后的省份表现不一,部分省份的水环境污染依然在加剧。

    Abstract:

    In order to further explore how the environmental Kuznets curve(EKC)changes when choosing different environmental indices, the logarithmic polynomial function is used to test the relations between several environmental indices and GDP per capita. The environmental indices include industrial water emission, equivalent industrial water emission and pollution perception degree. It is found that while the more the environmental indices can reflect the real water environment, the better the fitting results obey the EKC rules. In general, the relation between water pollution and GDP per capita in China agrees with the EKC rules statistically. In addition, how the richness of water resources and the degree of economic development affect the EKC is also discussed in this study. In those provinces lack of water resources, the relation between water environment pollution and GDP per capita still corresponds to the EKC rules. In developed provinces, the progressive deterioration of water environment is reversed. In under-developed provinces, the situations are different. The water pollution is becoming more serious in some provinces while that in others is getting better.

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郭清斌,邹结富,陈积微,等.基于面板数据的中国区域水环境污染EKC分析[J].水利经济,2018,36(2):49-53.(GUO Qingbin, ZOU Jiefu, CHEN Jiwei, et al. EKC of regional water environment in China based on panel data[J]. Journal of Economics of Water Resources,2018,36(2):49-53.(in Chinese))

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  • 收稿日期:2017-03-24
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  • 在线发布日期: 2018-04-11
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