| This article from the point of view of industrial distribution of foreign direct investment,through the use of FDI’s 33 segment of the industry’s panel data from 2006 to 2016,and the data is divided into three categories according to the intensity factors of the industry—laborintensive industries and resource-intensive industries and capital and technology intensive industries.On the method of measurement,by drawing from Cole(2006)and Hubler and Keller(2009),as well as Boqiang Lin,Liu Xiying test model(2010),the main point is to consider the three factors: the output level,industry structure and industry technology level;Namely,the scale effect,structure effect and technology effect.The aim is to analyze the relations between the industrial distribution of FDI and carbon emissions and through an empirical analysis on the panel data.In other words,it is determined that the panel data contains the individual effect constant with time through the test of individual effect,and then the estimator of the model is compared through the hausman test.If H＿0 is accepted,the random effect model is selected;if H＿0 is rejected,the fixed effect model is selected.After the model form is determined,the robust estimation of the model is tested by cross section correlation test,heteroscedasticity test and sequence correlation test,and the possible problems are corrected.The regression results show that foreign direct investment into China’s industrial sector has the dual property.Namely,FDI is no longer a single increase or decrease of carbon dioxide emissions,but it shows a strong industrial property and industrial characteristics of foreign direct investment of industrial distribution differences on carbon dioxide emissions.Therefore,it also provides some empirical evidence for the rational guidance of FDI industrial flow and the formulation of appropriate industrial policies. |
