Green efficiency and influencing factors of urban wastewater treatment under the goal of pollution and carbon reduction
Wastewater treatment plays an important role in water environmental protection,but it is also one of the most important sources of energy consumption and carbon emission in the world.Therefore,promoting the reduction of pollution and carbon emissions in sewage treatment and achieving green development in the sewage treatment industry has garnered wide-spread attention in academia.This study constructed an evaluation index system for the green efficiency of urban sewage treat-ment that covered both pollution reduction and carbon reduction targets.The super-efficieny SBM-DEA model,including non-de-sired outputs,Kernel density estimation,traditional and spatial Markov transfer probability matrix,was used to measure the green efficiency of urban wastewater treatment in 30 provinces(cities and autonomous regions)in China from 2013 to 2020.Al-so,the spatial and temporal evolution characteristics were analyzed and empirical research was conducted using the Tobit model.The result showed that during the study period,the green efficiency of urban sewage treatment in China showed a fluctuating downward trend,and the efficiency gradually stabilized into the distribution pattern of"East-Middle-West"decreasing step after 2016.The results of Markov probability transfer matrix showed that the efficiency had a certain degree of stability,and there was a"club convergence"phenomenon.Geographical factors playedan important role.From theregression results,there was a significant positive relationship between the cumulative completed investment in wastewater treatment plants,GDP per capita,pipe network density,employment,population density,number of green invention patent applications,precipitation and green ef-ficiency of wastewater treatment in China.On the other hand,the length of combined rainwater and sewage pipes,average indus-try wages,industrial structure,environmental regulations,and per capita water resources had a significant inhibitory effect on the green efficiency of urban sewage treatment in China.The degree and conditions of each influencing factor werehighly territorial.
pollution reduction and carbon reductionwastewater treatmentgreen efficiencyspatial and temporal evolu-tioninfluencing factors
万方数据
维普
