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Research on the emissions from industrial products exported from Guangdong Province-an input-output model analysis.
Du, Yu-Xia; Li, Ming-Jie; Huang, Jun-Jie.
Affiliation
  • Du YX; Guangzhou Huashang College, Guangzhou, China.
  • Li MJ; Guangdong University of Foreign Study, Guangzhou, China.
  • Huang JJ; Institute for Economic and Social Research, Guangzhou Huashang College, Guangzhou, China.
PLoS One ; 17(11): e0276300, 2022.
Article in En | MEDLINE | ID: mdl-36327257
ABSTRACT
This study uses an input-output model to analyze the wastewater, waste gas, and solid waste emissions in Guangdong's industrial exports from 2004 to 2015; the Logarithmic Mean Divisia Index (LMDI) is used to analyze the factors influencing such pollution. The results reveal that embodied emissions of waste gas and solid waste in Guangdong's export trade are increasing, while the increase in wastewater emissions is not apparent. The Logarithmic Mean Divisia Index (LMDI) is used to analyze the influencing factors of pollution, specifically, the structural, scale, and technical effects. We discovered that emissions of the top five industries account for about 80% of total emissions and the wastewater emissions' technical effect has more impact; however, it is difficult for this technical effect in terms of embodied waste gas and solid waste to offset the scale and structural effects' impacts. Moreover, the trends and factors influencing various industries' pollution emissions differ. This study proposes that when the government carries out environmental pollution control measures, they should consider the embodied pollution caused by products from foreign trade and focus on treating industries with severe pollution. Simultaneously, the pollution controlling measures of different industries should also vary.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carbon / Wastewater Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carbon / Wastewater Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: China