Literature DB >> 30691906

Does municipal solid waste generation in China support the Environmental Kuznets Curve? New evidence from spatial linkage analysis.

Shan Gui1, Liange Zhao1, Zhijian Zhang2.   

Abstract

Ever increasing municipal solid waste (MSW) is becoming a serious city pollution trouble, extensive studies explored this question from micro demographic factors before. But testing the impact of spatial dependence on MSW from macroeconomic factors with city-level panel data has not received adequate attention it deserves in prior literature, and routinely ignoring spatial dependence is prone to estimation biases. This research utilizes panel data of 285 Chinese cities for the period of 2006-2015 to explore the spatial dependence of the MSW. Employing two elaborate spatial panel models, the empirical result indicates that while road length, tertiary proportion, urbanization rate have significantly accelerated MSW generation, sanitation investment and education level are slightly negatively correlated with MSW generation, and GDP per capita has a mutual improvement relationship with MSW generation instead of inverted U-shape as predicted by Environmental Kuznets curve, which provides a new insight into city planning and environment protection when facing the fierce socio-environmental conflicts. Besides, there obviously exists spatial dependence and convergence phenomenon of MSW generation among China's cities.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Environment Kuznets curve; Macro determinants; Municipal solid waste generation; Spatial dependence

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Substances:

Year:  2018        PMID: 30691906     DOI: 10.1016/j.wasman.2018.12.006

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  2 in total

1.  Public Perception towards Waste-to-Energy as a Waste Management Strategy: A Case from Shandong, China.

Authors:  Xueliang Yuan; Xiaohan Fan; Jiaxin Liang; Mengyue Liu; Yuqiang Teng; Qiao Ma; Qingsong Wang; Ruimin Mu; Jian Zuo
Journal:  Int J Environ Res Public Health       Date:  2019-08-20       Impact factor: 3.390

2.  Quantifying the Impacts of Economic Progress, Economic Structure, Urbanization Process, and Number of Vehicles on PM2.5 Concentration: A Provincial Panel Data Model Analysis of China.

Authors:  Haoran Zhao; Sen Guo; Huiru Zhao
Journal:  Int J Environ Res Public Health       Date:  2019-08-15       Impact factor: 3.390

  2 in total

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