Conduction pathways of resource endowment affecting carbon intensity:Based on interprovincial data in China  

作　　者：FAN Xiao-cao ZHANG Lin 

机构地区：[1]School of Management,Lanzhou University,Lanzhou 730000,CHINA [2]School of Philosophy and Government Administration,Shaanxi Normal University,Xi'an 710119,CHINA

出　　处：《Ecological Economy》2023年第2期121-139,共19页生态经济（英文版）

摘　　要：By establishing a mathematical model and a basic analytical framework for the impact of resource endowments on carbon intensity,a traditional panel model without spatial panel effects was firstly constructed,a Durbin-Wu-Hausman test was conducted,and the model was set as a fixed-effects model based on the statistical values;secondly,the traditional panel model without spatial effects was estimated,and LM tests and robustness tests were conducted on the regression residuals.The LM test was then used to remove the fixed effect terms by the de-meaning method,and the Matlab 7.0 software was used to estimate the model.The stepwise introduction of variables was used to observe the effect of each variable on economic growth and to analyze the relationship between the magnitude and significance of the regression parameters of each variable.Finally,the path of conduction effect of resource endowment through mediating variable sinfluencing economic growth and carbon emissions,and thus carbon intensity,was constructed.The conclusion is that carbon intensity is inversely proportional to economic growth for a given level of carbon emissions.Therefore,if resource endowment promotes economic growth through mediating variables,it will lead to a decrease in carbon intensity,which is conducive to the achievement of emission reduction targets;conversely,if resource endowment hinders economic growth through mediating variables,it will lead to an increase in carbon intensity,which is not conducive to the achievement of emission reduction targets.

关 键 词：resource endowments carbon intensity economic growth conduction pathways 

分 类 号：F124.1[经济管理—世界经济] F224[环境科学与工程—环境科学] X24