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Effect of internal migration on the environment in China

Rafiq, Shuddhasattawa, Nielsen, Ingrid and Smyth, Russell 2017, Effect of internal migration on the environment in China, Energy economics, vol. 64, pp. 31-44, doi: 10.1016/j.eneco.2017.03.009.

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Title Effect of internal migration on the environment in China
Author(s) Rafiq, ShuddhasattawaORCID iD for Rafiq, Shuddhasattawa orcid.org/0000-0002-2109-7441
Nielsen, IngridORCID iD for Nielsen, Ingrid orcid.org/0000-0002-9065-9778
Smyth, Russell
Journal name Energy economics
Volume number 64
Start page 31
End page 44
Total pages 14
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017-05
ISSN 0140-9883
Keyword(s) China
Internal migration
Aggregate waste disposal
Air pollution
Water pollution
Summary We examine the effect of inter-provincial migration on air and water pollution for a panel of Chinese provinces over the period 2000–2013. To do so, we employ linear and non-linear panel data models in a Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) framework. Results from linear and non-linear models suggest that inter-provincial migration has contributed to pollution. Second-generation linear panel data model results suggest that for every additional 10,000 inter-provincial migrants, chemical oxygen demand (COD) increases 0.27–0.58%, sulphur dioxide (SO2) increases 0.08–0.25% and aggregate waste disposed (WST) increases 0.04–0.26%. Non-linear threshold panel model results suggest that for every additional 10,000 inter-provincial migrants, COD increases 0.2–0.5%, SO2 increases 0.10–0.20% and WST increases 3.1–4.2%.
Language eng
DOI 10.1016/j.eneco.2017.03.009
Field of Research 1402 Applied Economics
0913 Mechanical Engineering
0906 Electrical And Electronic Engineering
Socio Economic Objective 0 Not Applicable
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2017, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30093954

Document type: Journal Article
Collection: Department of Economics
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