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The Science of The Total Environment
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Identifying the socioeconomic drivers of solid waste recycling in China for the period 2005–2017

Authors: Qiao Huang; Guangwu Chen; Yafei Wang; Lixiao Xu; Wei-Qiang Chen;

Identifying the socioeconomic drivers of solid waste recycling in China for the period 2005–2017

Abstract

Solid waste recycling is crucial for easing China's resource constraints and for promoting the country's sustainable economic development. Previous studies regarding solid waste recycling have mainly assessed its economic value, the status quo, problems and challenges, however, little is known at this stage about its driving factors. The purpose of the current study is to identify the socioeconomic drivers of solid waste recycling, investigating it's evolution in China from 2005 to 2017. The study employs a systematic technique of input-output (IO) analysis and IO-based structural decomposition analysis (IO-SDA). Results reveal that China experienced an increase in the recycling of five types of solid waste, these include waste steel, waste nonferrous metals, waste plastics, waste paper and waste rubber for the period 2005-2017. The increase in solid waste recycling was driven mainly by fixed capital formation and exports, while urban household consumption was found to be a dominant driver due to China's increasing urban population. In order to better track and identify the recycling of solid waste, there is an urgent need to promote the classification of household solid waste at the national level. An increase of solid waste recycling was driven mainly by the growth of recycling intensity, population increase and changes in the structure of GDP, which was partly offset by per capita GDP changes. It is recommended that policy-makers increase the amount of investment in solid waste recycling capacity in rural areas so as to enhance recycling intensity contributing to the overall recycling effort.

Country
Australia
Related Organizations
Keywords

330, 38 Economics, 4104 Environmental Management, 41 Environmental Sciences, Input-output analysis, anzsrc-for: 41 Environmental Sciences, anzsrc-for: 4104 Environmental Management, anzsrc-for: 38 Economics, Structural decomposition analysis, 11 Sustainable Cities and Communities, Solid waste recycling, 12 Responsible Consumption and Production

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    41
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
41
Top 1%
Top 10%
Top 10%
Green