TY - JOUR
T1 - Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations
AU - Ji, Xiang
AU - Li, Guo
AU - Wang, Zhaohua
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017
Y1 - 2017
N2 - This study investigates the impact of emission regulation policies (i.e., emergency response policy versus long-term protection policy) on the investment levels of reusable environmental facilities (e.g., desulphurization pumps) used by coal-fired power plants in China to improve their sustainable operations. To set up a baseline for further analysis and compare the impact of emission regulation policies, an improved framework for performance evaluation of sustainable operations is developed in this study by integrating classical data envelopment analysis (DEA) and exponential learning curve. The proposed mathematical models are applied into an empirical study of 27 major million-kW coal-fired power plants in mainland China. Empirical analysis shows that the interactions among official emission regulation policies, reusable environmental investment (REI), and sustainable operations management of coal-fired power plants in China. Several policy suggestions are provided for power firm managers and policy makers in China. Specifically, we suggest that the Chinese government should implement long-term protection policies in less developed regions instead of emergency response policies.
AB - This study investigates the impact of emission regulation policies (i.e., emergency response policy versus long-term protection policy) on the investment levels of reusable environmental facilities (e.g., desulphurization pumps) used by coal-fired power plants in China to improve their sustainable operations. To set up a baseline for further analysis and compare the impact of emission regulation policies, an improved framework for performance evaluation of sustainable operations is developed in this study by integrating classical data envelopment analysis (DEA) and exponential learning curve. The proposed mathematical models are applied into an empirical study of 27 major million-kW coal-fired power plants in mainland China. Empirical analysis shows that the interactions among official emission regulation policies, reusable environmental investment (REI), and sustainable operations management of coal-fired power plants in China. Several policy suggestions are provided for power firm managers and policy makers in China. Specifically, we suggest that the Chinese government should implement long-term protection policies in less developed regions instead of emergency response policies.
KW - Coal-fired power plant
KW - Data envelopment analysis
KW - Emission regulation policies
KW - Learning curve
KW - Reusable environmental investment
KW - Sustainable operations
UR - http://www.scopus.com/inward/record.url?scp=85020029344&partnerID=8YFLogxK
U2 - 10.1016/j.enpol.2017.05.035
DO - 10.1016/j.enpol.2017.05.035
M3 - Article
AN - SCOPUS:85020029344
SN - 0301-4215
VL - 108
SP - 163
EP - 177
JO - Energy Policy
JF - Energy Policy
ER -