TY - JOUR
T1 - Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis
AU - Tan, Xiujie
AU - Choi, Yongrok
AU - Wang, Banban
AU - Huang, Xiaoqi
N1 - Publisher Copyright:
© 2020 The Authors
PY - 2020/11
Y1 - 2020/11
N2 - In China, climate policy has been strengthened by the mandated carbon intensity reduction target, which is a simple measurement of carbon efficiency under the single-factor framework. Is this carbon regulation during the 12th Five-Year Plan (FYP) actually effective for total factor carbon efficiency (TFCE) in China? To answer this research question, we estimate the TFCE and its policy and economic drivers using the fixed-effect stochastic frontier approach. The main results are as follows. First, the TFCE shows time and sector heterogeneity ranging from 0.235 to 0.996. Moreover, the changing pattern implies a positive relationship between TFCE and the 12th FYP. Second, the implementation of carbon regulations during the 12th FYP not only helped meet the carbon intensity reduction target, but also assisted in effectively improving TFCE. Third, carbon regulations have positively enhanced the role of energy prices in TFCE promotion and alleviated the negative role of exports. The results have significant policy implications for the carbon regulations in China's forthcoming 14th FYP. It is necessary to introduce market-oriented tools aside from the existing command-and-control policies.
AB - In China, climate policy has been strengthened by the mandated carbon intensity reduction target, which is a simple measurement of carbon efficiency under the single-factor framework. Is this carbon regulation during the 12th Five-Year Plan (FYP) actually effective for total factor carbon efficiency (TFCE) in China? To answer this research question, we estimate the TFCE and its policy and economic drivers using the fixed-effect stochastic frontier approach. The main results are as follows. First, the TFCE shows time and sector heterogeneity ranging from 0.235 to 0.996. Moreover, the changing pattern implies a positive relationship between TFCE and the 12th FYP. Second, the implementation of carbon regulations during the 12th FYP not only helped meet the carbon intensity reduction target, but also assisted in effectively improving TFCE. Third, carbon regulations have positively enhanced the role of energy prices in TFCE promotion and alleviated the negative role of exports. The results have significant policy implications for the carbon regulations in China's forthcoming 14th FYP. It is necessary to introduce market-oriented tools aside from the existing command-and-control policies.
KW - Carbon efficiency
KW - Fixed-effect panel stochastic frontier analysis
KW - Industrial sub-sectors
KW - Total factor carbon efficiency
UR - http://www.scopus.com/inward/record.url?scp=85088894467&partnerID=8YFLogxK
U2 - 10.1016/j.techfore.2020.120222
DO - 10.1016/j.techfore.2020.120222
M3 - Article
AN - SCOPUS:85088894467
SN - 0040-1625
VL - 160
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
M1 - 120222
ER -