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

  • Khalid Ahmed
  • , Sidrah Ahmed

Research output: Contribution to journalArticlepeer-review

106 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)16091-16100
Number of pages10
JournalEnvironmental Science and Pollution Research
Volume25
Issue number16
DOIs
StatePublished - 1 Jun 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • China
  • CO emissions
  • Environmental policy stringency
  • Predictive analysis

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