Empirical Study Of China’s Manufacturing Enterprise Development And Carbon Emissions

As the world’s largest emitter of carbon dioxide, China’s carbon emissions mainly comefrom industrial emissions. Industry is the leading force in promoting China’s economicdevelopment and the energy consumption of industrial economic development dependsprimarily on the development of manufacturing enterprises.60%of the carbon emissions ofthe industrial sector come from the Chinese manufacturing energy consumption.The energyconsumption&carbon emissions from the manufacturing enterprises are higher than otherindustries and enterprises of industrial sector. So the study on the relationship between thedevelopment of manufacturing enterprises and carbon emissions which can analysis thecarbon emissions impact factors and countermeasures and suggestions to promotemanufacturing enterprises to achieve carbon reduction has an important role.This paper firstly studies the Environmental Kuznets theory. And then summarize theapplication on the extension of this theory between the domestic and foreign environmentalpollution and economic development. Finally, analysis the research methods, scope of thestudy and conclusions of the carbon emissions impact factorsOn the basis of theoretical studies, combined with the high-risk, times-risk, relativelysafe manufacturing enterprise’s energy consumption data, we calculated the carbonemissions. And we analyze the manufacturing sectorthe status quo from the index of thenumber of manufacturing enterprises, total assets, total output value and practitioners. Lastlywe do the decoupling state analysis.Secondly, in the empirical study, we estimate the relationship between the developmentof manufacturing enterprises and carbon emissions using Eviews6.0software. And the datacontains manufacturing GDP, carbon emissions from the high-risk manufacturing enterpriseX1, and carbon emissions from the times-risk manufacturing enterprises X2, carbon emissionsfrom the relatively safe manufacturing enterprises X3. ADF unit root test shows that eachvariable are second-order single whole sequencethe. Then the Johansen test shows that thereexists a cointegration equation LnGDP=1.3439LnX1-2.0154LnX2+1.6692LnX3.And LnGDPis the Granger reason of LnX1, LnX2, LnX3, while LnX1, LnX2, LnX3is not the the Grangerreason of LnGDP. And then take advantage of the impulse response function and variancedecomposition to explain the degree of response from LnX1, LnX2, LnX3to LnGDP.Again, we use the improved STIRPAT model to analyze the degree of influence of theinfluencing factors of manufacturing fixed asset investment, manufacturing industrypractitioners, manufacturing GDP and manufacturing energy efficiency. Firstly, the OLSregression analysis showed that multicollinearity exists between the variables. Then do ridgeregression analysis to eliminate collinearity and determine the value of k through ridge tracediagrams and variance inflation factor method. And obtained standardized ridge regression equation and the STIRPAT model under the k value:The analysis revealed that there’s a positive relationship between LnF, LnP, But there’s a negative relationship between LnT with LnI. The relationship between each variable and LnI is basically consistent with the expected assumption. The impact of LnP to LnI is the highest. And LnA followed. But impact of LnT to LnI is weak. The carbon emissions caused by technical progress are far less than the other three variables.Finally, we put forward some strategies and suggestions to promote manufacturing enterprise carbon reduction from both government and manufacturing enterprises. It’s very important to achieve national emission reduction targets and take the road of sustainable development of low-carbon.