【摘要】 随着中国社会经济的发展,物流行业也进入到飞速发展阶段,而低碳经济是近年来各行业一直关注的焦点。文章采用省域物流碳排放作为环境压力的衡量指标,利用空间面板数据对物流业进行空间计量分析,区别于传统普通最小二乘法(OLS)仅是对变量整体估计,空间计量方法可以得到区域差异化的回归系数,更能进行局域分析。研究结果发现:物流业周转货物量、物流业人均和物流业能源强度这三个变量对物流业碳排放均属于正向影响关系,其中物流能源强度对物流碳排放的影响程度最为显著。空间滞后效应的系数为0.336,且通过了显著性检验,说明相邻省份存在明显的空间扩散(溢出)效应。更多还原

【Abstract】 With the development of China’s social economy, the logistics industry has entered the stage of rapid development. Low carbon economy has been the focus of attention in various industries in recent years. Therefore, the research on the influencing factors of carbon emissions in the logistics industry has become particularly important. Using provincial logistics carbon emissions as an indicator of environmental pressure, using spatial panel data to conduct spatial econometric analysis of logistics industry,which is different from the traditional ordinary least squares(OLS) method, which only estimates variables as a whole. Spatial econometric method can obtain regress coefficients of regional differentiation, and can better carry out local analysis. The results show that the three variables of logistics industry turnover cargo volume, per capita and energy intensity of logistics industry have a positive impact on carbon emissions of logistics industry, and the impact of logistics energy intensity on carbon emissions is the most significant. The coefficient of spatial lag effect is 0.336, and has passed the significance test. It shows that there is obvious spatial diffusion(spillover) effect in adjacent provinces.更多还原