Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China

Based on a SSBM-GMI Approach

Bibliographic Data

ID15464485
AuthorsYongyi Cheng (Ningbo University, corresponding author), Liheng Lu (Ningbo University), Tianyuan Shao (Ningbo University), Manhong Shen (Ningbo University), Laiqun Jin (Ningbo University, corresponding author)
Year2018
Volume15
Issue12
Pages2779-2779
Publication date2018-12-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15122779
PMID30544577
OpenAlexW2904606640
LanguageEN
Citations received1
References cited63

This paper investigated the factors driving the changes in industrial wastewater emission intensity (IWEI) across provinces in China. To do this, we proposed a Super-efficiency Slacks-based Measure-Global Malmquist Index (SSBM-GMI) to decompose the change in IWEI into the effects from efficiency change (ECE), technological change (TCE), capital−wastewater substitution (KWE) and labor−wastewater substitution (LWE). The method was applied to conduct an empirical study using Chinese provincial data from 2003−2015. The main findings include the following: firstly, TCE was the dominant driving force behind the reduction in IWEI with an average annual contribution of -6.4% at the national level, followed by KWE (-5.3%), LWE (-1.8%) and ECE (1.2%). Secondly, significant differences exist in the driving factors behind the reduction in IWEI across regions. The reduction in IWEIs in the Northeast area and the Great Northwest area was mainly driven by productivity growth, while the reduction in IWEIs in the other areas was mainly driven by factor substitution. Thirdly, the shortage of KWE and LWE has impeded IWEI reduction in the Great Northwest area, the Middle Reaches of the Yellow River, the Northeast area and the North area. Finally, some particular policy implications were also recommended for reducing industrial wastewater emission in China

China · Driving factors · Economic growth · Economic shortage · Economics · Geography · Index (typography · Industrial wastewater treatment · Productivity · Reduction (mathematics · Sewage treatment · Wastewater · Computer Science · Efficiency Analysis Using DEA · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Environmental Science · Mathematics · Environmental Engineering

  • Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China

    Open Access•Yongyi Cheng, Tianyuan Shao et al.•International Journal of…•2019

  • Polluting thy neighbor

    Open Access•Hongbin Cai, Yuyu Chen et al.•Journal of Environmental…•2016

  • Decomposition analysis for policymaking in energy

    Open Access•B W Ang•Energy Policy•2004

  • A global Malmquist productivity index

    Open Access•Jesús T Pastor, C A Knox Lovell•Economics Letters•2005

  • A global Malmquist-Luenberger productivity index

    Open Access•Dong‐hyun Oh, Dong-hyun Oh•Journal of Productivity Analysis•2010

  • A slacks-based measure of super-efficiency in data envelopment analysis

    Open Access•Kaoru Tone•European Journal of Operational…•2002

  • The LMDI approach to decomposition analysis

    Open Access•B W Ang•Energy Policy•2005

  • Environmental production functions and environmental directional distance functions

    Open Access•Rolf Färe, Shawna Grosskopf et al.•Energy•2007

  • Are There Limits to Growth?

    Nancy L Stokey•International Economic Review•1998

  • Westward movement of new polluting firms in China

    Open Access•Haoyi Wu, Huanxiu Guo et al.•Journal of Comparative Economics•2017

  • Environmental Impacts of a North American Free Trade Agreement

    Gene M Grossman, Gene Grossman et al.•National Bureau of Economic…•1991

  • A slacks-based measure of efficiency in data envelopment analysis

    Open Access•Kaoru Tone•European Journal of Operational…•2001

  • Economic Growth and the Environment

    Gene M Grossman, Alan B Krueger•The Quarterly Journal of Economics•1995

  • The Consequences of Industrialization

    Avraham Ebenstein•The Review of Economics and…•2012

  • World Carbon Dioxide Emissions

    Richard Schmalensee, Thomas M Stoker et al.•The Review of Economics and…•1998

  • Spatial Characteristics and Driving Factors of Provincial Wastewater Discharge in China

    Open Access•Kunlun Chen, Xiaoqiong Liu et al.•International Journal of…•2016

  • Decomposition Analysis of Wastewater Pollutant Discharges in Industrial Sectors of China (2001–2009) Using the LMDI I Method

    Open Access•Hongjun Lei, Xunfeng Xia et al.•International Journal of…•2012

  • Environmentally sensitive productivity growth

    Open Access•Surender Kumar•Ecological Economics•2006

  • Explaining changes in global sulfur emissions

    Open Access•David I Stern•Ecological Economics•2002

  • Environmental regulation and foreign direct investment

    Open Access•Sunghoon Chung•Journal of Development Economics•2014

  • Domestic pollution havens

    Open Access•Matthew E Kahn•Journal of Urban Economics•2004

  • Why do Some Countries Produce So Much More Output Per Worker than Others

    R E Hall, C I Jones•The Quarterly Journal of Economics•1999

Unique citing works1
Citations per year0,14
Citation span2019 - 2019 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae