Literature DB >> 30711586

Pollution haven hypothesis of domestic trade in China: A perspective of SO2 emissions.

Zhen Wang1, Cai Li1, Qiaoling Liu2, Beibei Niu3, Sha Peng4, Liangchun Deng5, Ping Kang6, Xiaoling Zhang6.   

Abstract

Domestic trade flourishes with economic development and the spatial separation of production and consumption. Therefore, the prosperity of trade is accompanied by the transfer of pollution from the demand side to the supply side, which could potentially worsen the environmental quality of the supply side. Despite a large number of studies on the pollution haven hypothesis in international trade, little attention has been paid to testing the hypothesis in domestic trade. Here, combining a multiregional input-output analysis and a gravity model of trade in China, we provide an empirical test to address this problem for the first time. We also assess the factors affecting the SO2 emissions embodied in trade, including population, economic development, coal consumption, distance, and environmental regulations. We found that domestic trade contributed approximate one third of the total SO2 emissions in China, and interprovincial transfers of SO2 embodied in trade were significantly determined by the population, economic development, coal consumption of the trade pairs, as well as their distance. SO2 emission mitigation policies, such as emission reduction target and sulfur dioxide control zone, has a more significant influence on the direct transfer of SO2 emission via direct bilateral trade, while their effects were largely offset by indirect trade (through third-party transfers). Our results do not support the pollution haven hypothesis existed in domestic trade in China during 2007-2012. Our paper sets an example and provides a reference for the domestic pollution transfer problem from an econometric perspective. Further attempts on testing pollution haven hypothesis in consideration of various pollutants are still needed to arrive at a robust conclusion.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gravity model; Input–output analysis; Interregional trade; Pollution haven hypothesis

Year:  2019        PMID: 30711586     DOI: 10.1016/j.scitotenv.2019.01.287

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Identifying Driving Factors of Jiangsu's Regional Sulfur Dioxide Emissions: A Generalized Divisia Index Method.

Authors:  Junliang Yang; Haiyan Shan
Journal:  Int J Environ Res Public Health       Date:  2019-10-19       Impact factor: 3.390

  1 in total

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