Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach
Shixiong Cheng (),
Wei Liu () and
Kai Lu ()
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Shixiong Cheng: School of Economics, Fudan University, Shanghai 200433, China
Wei Liu: School of Economics and Management, Wuhan University, Wuhan 430072, China
Kai Lu: School of Business, Hubei University, Wuhan 430062, China
Sustainability, 2018, vol. 10, issue 5, 1-23
In this paper, provincial panel data for China during 1995–2015 and the time substitution data envelopment analysis (DEA) model were used to measure the influences of China’s carbon emissions reduction policy on economic growth under various reduction targets and to determine optimal economic growth and optimal carbon emissions of each province. In addition, this paper empirically examines the factors that influence the optimal economic growth and carbon emissions. The results indicate that not all provinces will suffer from a loss in gross domestic product (GDP) when confronted by the constraints of carbon emissions reductions. Certain provinces can achieve a win-win situation between economic growth and carbon emissions reductions if they are allowed to reallocate production decisions over time. Provinces with higher environmental efficiency, higher per capita GDP, smaller populations, and lower energy intensity might suffer from a larger loss in GDP. Therefore, they should set lower carbon emissions reduction targets.
Keywords: carbon emissions reduction policy; optimal economic growth; optimal carbon emissions; time substitution DEA model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:5:p:1543-:d:146011
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