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      The Impact of Consumption Patterns on the Generation of Municipal Solid Waste in China: Evidences from Provincial Data

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          Abstract

          Municipal solid waste (MSW) is the derivative of urban development and it is harmful to the environment and residents’ health. But with sustainable MSW management, MSW can be applied as an important renewable energy. In order to achieve sustainable MSW management, it is necessary to understand the mechanism of MSW generation. Consumption patterns differ in various regions of China, which make the influencing factors of MSW have unique characteristics. To explore the factors influencing MSW generation in China, this study builds a global model based on the panel data of 30 Chinese provinces. Considering regional heterogeneity, provinces are clustered into three groups according to economic and consumption indicators. Each group has its own local model of MSW generation. The results show that household expenditure on housing and the tertiary industry proportion show opposite impacting directions in high-level and low-level provinces. Finally, with the combination of the grey model (1,1) (GM(1,1)) and multiple linear regression (MLR), we find that developing provinces will generate more MSW than developed regions. According to this, different provinces should control MSW by optimizing consumption pattern and efficient fiscal expenditure, and developing provinces should pay attention to MSW management and learn from the experience of developed provinces.

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          Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data

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            Status and perspectives of municipal solid waste incineration in China: A comparison with developed regions

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                16 May 2019
                May 2019
                : 16
                : 10
                : 1717
                Affiliations
                [1 ]School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China; hndljh@ 123456163.com
                [2 ]Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China; qingl@ 123456xs.ustb.edu.cn (Q.L.); guwei@ 123456ustb.edu.cn (W.G.)
                Author notes
                [* ]Correspondence: chenwang@ 123456ustb.edu.cn
                Author information
                https://orcid.org/0000-0001-9362-926X
                Article
                ijerph-16-01717
                10.3390/ijerph16101717
                6573004
                31100789
                3ccf40f0-2e98-4330-83f2-6a608db666e8
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 28 April 2019
                : 14 May 2019
                Categories
                Article

                Public health
                municipal solid waste generation,consumption patterns,clustering analysis,provincial panel data

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