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首页> 外文期刊>Journal of Cleaner Production >Urban spatial structure evolution and smog management in China: A re-examination using nonparametric panel model
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Urban spatial structure evolution and smog management in China: A re-examination using nonparametric panel model

机译:中国城市空间结构演化与烟雾管理:使用非参数面板模型进行重新检查

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摘要

Based on the modified DMSP night-time light composite data, this paper constructs an urban polycentric index, then uses a time-varying panel model to estimate the empirical equations of smog pollution. The empirical results show that: (1) with the long-term steady improvement of China's per capita income, the income growth and air quality have shown a clear coordinated development trend (2) the regional multi-centered development has a significant mechanism of promoting the rise and then the fall of smog pollution (3) China's secondary industry and transportation industry no longer have significant pollution-promoting effect at present, and are upgrading to environment-friendly industries. Besides, this study makes some additional contributions: On the one hand, the correction of night-time light data can provide more accurate data processing criterion for related research. On the other, the time-varying panel estimation further explains the complex mechanism between economic variables and smog pollution as well as reveals the origin of the instability of the EKC hypothesis. These improvements may provide an important academic reference for the subsequent researches and a general empirical evidence for policy makers. (c) 2020 Elsevier Ltd. All rights reserved.
机译:基于改进的DMSP夜间光复合数据,本文构造了城市多中心指数,然后使用时变面板模型来估计烟雾污染的经验方程。经验结果表明:(1)随着中国人均收入的长期稳步提高,收入增长和空气质量表现出明确的协调发展趋势(2)区域多心发展有重大促进机制烟雾污染的崛起(3)中国的二级行业和运输行业目前不再具有显着的污染促进效果,正在升级为环保行业。此外,这项研究提供了一些额外的贡献:一方面,夜间光数据的校正可以为相关研究提供更准确的数据处理标准。另一方面,时变面板估计还进一步解释了经济变量和烟雾污染之间的复杂机制,并揭示了EKC假设的不稳定性的起源。这些改进可能为随后的研究和政策制定者的一般经验证据提供重要的学术参考。 (c)2020 elestvier有限公司保留所有权利。

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