中国水—能源—碳排放系统效率的时空差异及影响因素  

The Temporal-spatial Differences and Influencing Factors of Water-Energy-Carbon System Efficiency in China

作　　者：王文彬 许冉 桂黄宝 WANG Wen-bin;XU Ran;GUI Huang-bao(School of Management and Economics,North China University of Water Resources and Electric Power,Zhengzhou 450046;School of Economics and Management,Zhengzhou Normal University,Zhengzhou 450044)

机构地区：[1]华北水利水电大学管理与经济学院,郑州450046 [2]郑州师范学院经济与管理学院,郑州450044

出　　处：《软科学》2024年第11期102-111,共10页Soft Science

基　　金：国家社会科学基金项目(23BJY062);河南省软科学重大项目(232400411002);河南省软科学研究计划项目(222400410160);河南省哲学社会科学规划年度项目(2022BJJ065);2023年度河南省高等学校青年骨干教师培养计划(2023GGJS079)。

摘　　要：研究采用网络DEA模型测算2007—2021年我国省际水—能源—碳排放(WEC)系统效率,基于修正的引力模型构建中国WEC系统效率关联网络,应用社会网络分析方法考察网络整体特征及个体特征,使用QAP回归探究效率差异形成的影响因素。研究发现:(1)WEC系统整体效率呈“U”形变化趋势,水资源子系统和碳排放子系统效率高于WEC整体效率,能源子系统效率低于WEC整体效率。(2)碳排放效率在空间分布上呈现自西向东不断增长的梯度变化,东部地区效率水平显著高于其他地区,东北地区与其他地区差距有扩大趋势。(3)WEC系统效率关联网络连通性良好,网络效率呈“U”形变化,网络密度则呈倒“U”形变动,网络中上海等省市的地位突出,初步形成了长三角、京津冀等核心板块。(4)经济发展水平为效率差异的核心影响因素,外向接近中心度、内向接近中心度、接近中心度和科技投入有正向影响作用,中介中心度和城镇化水平有负向影响作用,产业结构的影响具有阶段性。The paper uses the network DEA model to calculate the efficiency of China's inter-provincial WEC system from 2007 to 2021,then,based on the modified gravity model,a correlation network for the efficiency of China's WEC system is constructed.Social network analysis methods are applied to examine the overall and individual characteristics of the network,and QAP regression is used to explore the influencing factors of efficiency differences.Results show that:first,the overall efficiency of WEC shows a U-shaped trend,with the efficiency of the water resources subsystem and carbon emission subsystem being higher than the overall efficiency,and the efficiency of the energy subsystem being lower than the overall efficiency.Second,the carbon emission efficiency shows a gradient change in spatial distribution that continuously increases from west to east.The efficiency in the eastern region is significantly higher than that in other regions,and the gap between the northeast region and other regions is expanding.Third,the network of the efficiency of WEC is connected well,with a U-shaped change in network efficiency and an inverted U-shaped change in network density.Shanghai and other provinces have a prominent position in the network,forming core areas such as the Yangtze River Delta and Beijing Tianjin Hebei.Fourth,economic development is the core influencing factor of inter-provincial efficiency differences;out-degree,in-degree,closeness,and technological investment have positive impacts,while betweenness and urbanization have negative impacts;and the impact of industrial structure has a phased nature.

关 键 词：水—能源—碳排放 网络DEA 社会网络分析 QAP回归 

分 类 号：X322[环境科学与工程—环境工程] F426.2[经济管理—产业经济]