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Improving air pollution control policy in China--A perspective based on cost-benefit analysis
Jinglei Gao1, Zengwei Yuan2, Xuewei Liu2
1Geographic and Oceanographic Sciences School, Nanjing University, Nanjing 210023, China.
The Science of the Total Environment
|November 24, 2015
Summary
China's 2013 Air Pollution Prevention and Control Action Plan is cost-effective for industrial energy-saving and emission-reduction. Policies show a benefit-cost ratio of 6.32, with significant economic and population correlations.
Area of Science:
- Environmental Policy
- Environmental Economics
- Public Health
Background:
- China's State Council enacted the Air Pollution Prevention and Control Action Plan in 2013 to address severe air pollution.
- Industrial energy-saving and emission-reduction policies are key components of this plan.
Purpose of the Study:
- To conduct a cost-benefit analysis of industrial energy-saving and emission-reduction policies implemented between 2013 and 2017.
- To assess the cost-effectiveness of different policy measures through scenario analysis.
- To identify factors influencing the benefit-cost ratio and policy sensitivity.
Main Methods:
- Cost-benefit analysis across 31 Chinese provinces (2013-2017).
- Scenario analysis for energy-saving and emission-reduction policies.
- Regression and sensitivity analyses to identify influencing factors and parameter sensitivity.
Main Results:
- The overall benefit-cost ratio was estimated at 6.32 (S3 scenario), indicating cost-effectiveness.
- Policies demonstrated higher satisfactory values in eastern China.
- End-of-pipe control measures showed greater emission reduction potential than energy-saving measures.
- Gross Domestic Product (GDP) and population were significantly correlated with the benefit-cost ratio.
- Benefit-cost ratios were most sensitive to unit emission-reduction cost, unit subsidy, GDP growth rate, and discount rate.
Conclusions:
- The implemented air pollution prevention policies are cost-effective.
- Policy effectiveness is influenced by economic factors like GDP and population.
- Sensitivity analysis highlights key parameters for policy optimization, particularly in regions like Beijing and Tianjin.
Keywords:
Air Pollution Prevention and Control Action PlanCost–benefit analysisEnvironmental managementEnvironmental policySpatial disparity
