Investigating spatial variability of CO2 emissions in heavy industry: Evidence from a geographically weighted regression model

• Published in: Energy policy Vol. 149; p. 112011
• Main Authors: Xu, Bin, Lin, Boqiang
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.02.2021; Elsevier Science Ltd
• Subjects: Carbon dioxide; Carbon dioxide emissions; China; CO2 emissions; Coal; Economic development; Economic growth; Emissions; Emitters; Energy consumption; Energy efficiency; Energy policy; Environmental regulations; Geographically weighted regression model; human resources; Industrial pollution; industry; Infrastructure; Investments; Local government; Pollution control; Provinces; R&D; Real estate; regression analysis; Regression models; Regulation; Research & development; The heavy industry; transportation; Transportation engineering; Urbanization; China; CO2 emissions; The heavy industry; Geographically weighted regression model

China is now the world's largest carbon dioxide (CO2) emitter, and the government is under tremendous pressure to reduce CO2 emissions. The heavy industry sector is the largest contributor to the growth of CO2 emissions. Investigating the driving factors of this industry's CO2 emissions ha...