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A Spatial Panel Data Analysis of Economic Growth Urbanization and NOx Emissions in China

机译:中国经济增长城市化和氮氧化物排放的空间面板数据分析

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摘要

Is nitrogen oxides emissions spatially correlated in a Chinese context? What is the relationship between nitrogen oxides emission levels and fast-growing economy/urbanization? More importantly, what environmental preservation and economic developing policies should China’s central and local governments take to mitigate the overall nitrogen oxides emissions and prevent severe air pollution at the provincial level in specific locations and their neighboring areas? The present study aims to tackle these issues. This is the first research that simultaneously studies the nexus between nitrogen oxides emissions and economic development/urbanization, with the application of a spatial panel data technique. Our empirical findings suggest that spatial dependence of nitrogen oxides emissions distribution exists at the provincial level. Through the investigation of the existence of an environmental Kuznets curve (EKC) embedded within the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework, we conclude something interesting: an inverse N-shaped EKC describes both the income-nitrogen oxides nexus and the urbanization-nitrogen oxides nexus. Some well-directed policy advice is provided to reduce nitrogen oxides in the future. Moreover, these results contribute to the literature on development and pollution.
机译:在中国背景下,氮氧化物的排放在空间上相关吗?氮氧化物排放水平与快速增长的经济/城市化之间有什么关系?更重要的是,中国的中央和地方政府应采取哪些环境保护和经济发展政策来减轻总体氮氧化物的排放并防止特定地区及其周边地区在省一级造成严重的空气污染?本研究旨在解决这些问题。这是首次通过空间面板数据技术同时研究氮氧化物排放与经济发展/城市化之间的关系的研究。我们的经验发现表明,在省一级存在氮氧化物排放分布的空间依赖性。通过调查嵌入在人口,富裕度和技术回归中的随机影响内的环境库兹涅茨曲线(EKC)的存在,我们得出了一些有趣的结论:N型EKC倒数描述了收入氮氮氧化物和城市化氮氧化物关系。提供了一些有针对性的政策建议,以减少将来的氮氧化物。而且,这些结果有助于有关发展和污染的文献。

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