Using the Tapio-Z decoupling model to evaluate the decoupling status of China's CO2 emissions at provincial level and its dynamic trend

被引：102

作者：

Song, Yan ^{[1
]}

Sun, Junjie ^{[1
]}

Zhang, Ming ^{[1
]}

Su, Bin ^{[2
]}

机构：

[1] China Univ Min & Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China

[2] Natl Univ Singapore, Energy Studies Inst, Singapore 119620, Singapore

来源：

STRUCTURAL CHANGE AND ECONOMIC DYNAMICS | 2020年 / 52卷

基金：

中国国家自然科学基金;

关键词：

CO2; emissions; Two-dimensional decoupling; China; ENVIRONMENTAL KUZNETS CURVE; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; CARBON EMISSION; DRIVING FORCES; DECOMPOSITION; CONVERGENCE; SECTOR; INTENSITY; DRIVERS;

D O I：

10.1016/j.strueco.2019.10.004

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper deduces the connection between Per capita GDP (g) and the Tapio decoupling index (D) as a formula. Then, a two-dimensional decoupling model (Tapio-Z decoupling model) and decoupling analysis framework is constructed based on a Cartesian coordinate system with Per capita GDP (g) as horizontal axis and Tapio decoupling index (D) as vertical axis. Finally, the decoupling status of China's CO2 emissions at provincial level and its dynamic path over the period 2000-2016 is explored. SD (Strong Decoupling) did not occur in sub-period 2000-2005. In the sub-period 2015-2016, the CO2 emissions presented SD-HE (Strong Decoupling-High economic stage) and SD-MHE (Strong Decoupling-Middle and high economic stage) with economic development in 14 regions. During the study period 2000-2016, the decoupling development scores for Beijing, Shanghai, and Tianjin were the biggest. However, the decoupling development score for Xinjiang was the smallest, followed by Guizhou, Ningxia, and Qinghai. (C) 2019 Elsevier B.V. All rights reserved.

引用

页码：120 / 129

页数：10

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