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The Impact of “Coal to Gas” Policy on Air Quality: Evidence from Beijing, China

doi: 10.3390/en13153876
Air pollution has become an increasingly serious environmental problem in China. Especially in winter, the air pollution in northern China becomes even worse due to winter heating. The “coal to gas” policy, which uses natural gas to replace coal in the heating system in winter, was implemented in Beijing in the year 2013. However, the effects of this policy reform have not been examined. Using a panel dataset of 16 districts in Beijing, this paper employs a first difference model to examine the impact of the “coal to gas” policy on air quality. Strong evidence shows that the “coal to gas” policy has significantly improved the air quality in Beijing. On average, the “coal to gas” policy reduced sulfur dioxide (SO2), nitrogen dioxide (NO2), particulate matter smaller than 10 µm (PM10), particulate matter smaller than 2.5 µm (PM2.5) and carbon monoxide (CO) by 12.08%, 4.89%, 13.07%, 11.94% and 11.10% per year, respectively. We find that the “coal to gas” policy is more effective in areas with less energy use efficiency. The finding of this paper suggests that the government should continue to implement the “coal to gas” policy, so as to alleviate the air pollution in Beijing, China.
- Beijing Institute of Technology China (People's Republic of)
- Lithuanian Institute of Agrarian Economics Lithuania
- Beijing Institute of Technology China (People's Republic of)
- Chinese Academy of Social Sciences China (People's Republic of)
- Chinese Academy of Social Sciences China (People's Republic of)
Technology, winter heating, T, air pollution, coal to gas, Beijing, air pollution; coal to gas; winter heating; Beijing
Technology, winter heating, T, air pollution, coal to gas, Beijing, air pollution; coal to gas; winter heating; Beijing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).20 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
