A predictive analysis of CO2 emissions, environmental policy stringency, and economic growth in China

被引:83
作者
Ahmed, Khalid [1 ]
Ahmed, Sidrah [1 ]
机构
[1] Sukkur IBA Univ, Sukkur, Pakistan
关键词
CO2; emissions; Predictive analysis; Environmental policy stringency; China; ENERGY-CONSUMPTION; EMPIRICAL-EVIDENCE; INNOVATION; PATH;
D O I
10.1007/s11356-018-1849-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study takes environmental policy stringency and economic activity as the controlling variables and forecasts the CO2 emissions in China up to 2022. In doing so, an application of corrected grey model with convolution is used over the annual time series data between 1990 and 2012. The simulation results show that (1) between 2012 and 2022, CO2 emissions in China is expected to increase at an average rate of 17.46% annually, raising the emissions intensity from 7.04 in 2012 to 25.461 metric tons per capita by 2022; (2) stringent environmental policies reduce CO2 emissions-whereas, GDP tends to increase the emissions intensity in China; (3) stringent environmental policies are found to have a negative impact on GDP in China. Based on the empirical findings, the study also provides some policy suggestions to reduce emissions intensity in China.
引用
收藏
页码:16091 / 16100
页数:10
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