By dynamically calculating the intensity of carbon dioxide (CO2) emissions in 36 Chinese two-digit industries, this article constructs linear and nonlinear generalized methods of moment estimation, respectively, to empirically analyze the relationships between the industrial CO2 emissions intensity(CEI) and industrial factors, including the structure of energy consumption and of ownership as well as the level of industry revenues. The results show that the CEI of Chinese industry and its subindustries show a downward trend. Furthermore, CEI can be significantly curbed by optimizing the energy consumption structure and promoting technological progress. Except for technology-intensive industries, CEI can be reduced by improving the proportion of privatization and tax abatement. Expanding the industrial scale can significantly reduce Chinese industrial CEI, especially in labor-intensive industries. Despite a non-linear relationship between several factors and industrial CEI, the subindustries exhibit great heterogeneity.
机构:
Shanghai Univ Elect Power, Sch Econ & Management, Shanghai 201306, Peoples R ChinaShanghai Univ Elect Power, Sch Econ & Management, Shanghai 201306, Peoples R China
Xie, Pinjie
Lu, Yue
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Shanghai Univ Elect Power, Sch Econ & Management, Shanghai 201306, Peoples R ChinaShanghai Univ Elect Power, Sch Econ & Management, Shanghai 201306, Peoples R China
Lu, Yue
Xie, Yuwen
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机构:
Guangdong Power Grid Co Ltd, Zhanjiang Power Supply Bur, Zhanjiang 524000, Peoples R ChinaShanghai Univ Elect Power, Sch Econ & Management, Shanghai 201306, Peoples R China
机构:
Fujian Agr & Forestry Univ, Anxi Coll Tea Sci, Fuzhou 350002, Fujian, Peoples R China
Anxi Cooperat Innovat Ctr Modern Agr Ind Pk, Quanzhou 362406, Fujian, Peoples R China
Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Fujian, Peoples R ChinaFujian Agr & Forestry Univ, Anxi Coll Tea Sci, Fuzhou 350002, Fujian, Peoples R China
Chen, Yihui
Li, Minjie
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机构:
Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Fujian, Peoples R ChinaFujian Agr & Forestry Univ, Anxi Coll Tea Sci, Fuzhou 350002, Fujian, Peoples R China
Li, Minjie
Su, Kai
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Fujian Agr & Forestry Univ, Anxi Coll Tea Sci, Fuzhou 350002, Fujian, Peoples R ChinaFujian Agr & Forestry Univ, Anxi Coll Tea Sci, Fuzhou 350002, Fujian, Peoples R China
Su, Kai
Li, Xiaoyong
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机构:
Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R ChinaFujian Agr & Forestry Univ, Anxi Coll Tea Sci, Fuzhou 350002, Fujian, Peoples R China