Synergistic effects and driving factors of pollutant and carbon reduction in Fujian Province
This study selected the emission indicators of CO2 and major pollutants in Fujian Province to construct a coupling coordination model for pollutant and carbon reduction,and evaluated the effects of energy consumption,industrial upgrading,per capita gross domestic product(GDP),permanent population,land use structure on pollutant and carbon reduction through random forest(RF)and spatio-temporal geographically weighted regression(GTWR)models.The results showed that compared with 2015,the average reduction ratio of major pollutants in Fujian Province was 44.3％in 2020,and the average increase in greenhouse gas emissions was 22.5％.From 2015 to 2020,the cities with the highest degree of coupling coordination between pollutant reduction and carbon reduction in Fujian Province were Quanzhou and Fuzhou,and the cities with the most significant improvement in coupling coordination degree were Putian and Ningde.There were significant differences in the correlation between energy consumption structure and energy consumption intensity and the coupling coordination degree for pollutant and carbon reduction.However,during the"14th Five-Year Plan"period,a certain amount of coal consumption growth could still be permitted.Gradually increasing per capita GDP and promoting industrial upgrading would provide positive assistance for the coordinated reduction of pollutant and carbon in Fujian Province.
pollutant and carbon reductioncoupling coordinationdriving factorsspatio-temporal heterogeneity
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