| With China’s industrialization,leading the rapid development of urbanization process,there are a large number of industrial and domestic waste generated.For example,the proliferation of agricultural fertilizer use,a large number of domestic sewage discharge,leading to the pressure on water pollution is growing.Water resources are the material basis for the daily activities of residents to carry out various social activities.In order to protect the normal activities of residents to carry out daily activities,we should make full use of our water.We should control the total amount about waste water discharge,and control the pollution about various pollutants in the discharge standards.Protecting our water resource is good for the long-term daily life.Water quality is becoming bad,which leads mass reproduction of microorganisms and other reductive substances on the quality of water resources is essential,and chemical oxygen demand emissions is a measure of reducing the content of waste water in the comprehensive indicators.In addition to controlling the total amount of chemical oxygen demand in waste water,the chemical oxygen demand emission intensity-the chemical oxygen demand generated per unit of GDP should be strictly controlled.According to China’s 2004-2015 environmental bulletin,we can know that the emission intensity of chemical oxygen demand in China is decreasing gradually.Therefore,the content of reducing substances in water resources is studied from the view of chemical oxygen demand emission intensity.In this paper,we use the exploratory spatial data analysis method to analyze the spatial correlation of the emission intensity of chemical oxygen demand in China.The results show that the Moran index I is larger than 0,and the value of Moran exponent 1 Which can show that the emission intensity of chemical oxygen demand in China has obvious spatial effect.It is appropriate to use the space econometric model to analyze the emission intensity of chemical oxygen demand in China.Secondly,combined with the convergence model in economics,the spatial lag β-convergence model and the spatial error β-convergence model are established.Since the statistical caliber of the total amount of chemical oxygen demand before and after 2010 is inconsistent,the model is established by time-To estimate the parameters,to observe the 2004-2008 estimates of the parameters and found that β is less than 0,but not significant,that there is no sufficient evidence that the period of chemical oxygen demand emission intensity is convergence,observed 2011-2015 We find that the parameter estimation value β>0 of the two models is better than the SLM model.It is more suitable to analyze the emission intensity of chemical oxygen demand by using the spatial error convergence model(conditional convergence model)This shows that the intensity of chemical oxygen demand in China is diverging in this time period,which is consistent with the characteristics of regional and industrial development in different provinces and regions,and the similarities and differences of technological innovation ability.Finally,through the model and the actual situation Environmental protection departments to provide regional governance,increase environmental investment,optimize the industrial structure,strengthen scientific and technological innovation capacity,eliminate high energy consumption and low yield production equipment to develop circular economy to reduce the intensity of pollutant discharge recommendations for the early realization of clear water blue sky,healthy and good Sustainable development environment. |
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