中国高耗能产业空间关联网络研究  

Research on China's Energy-intensive Industries Spatial Correlation Network

作　　者：王文彬 王寒[2] 许冉 WANG Wen-bin;WANG Han;XU Ran(School of Management and Economics,North China University of Water Resources and Electric Power,Zhengzhou Henan 450046,China;College of Water Resources,North China University of Water Resources and Electric Power,Zhengzhou Henan 450046,China;School of Economics and Management,Zhengzhou Normal University,Zhengzhou Henan 450044,China)

机构地区：[1]华北水利水电大学管理与经济学院,河南郑州450046 [2]华北水利水电大学水资源学院,河南郑州450046 [3]郑州师范学院经济与管理学院,河南郑州450044

出　　处：《技术经济与管理研究》2024年第7期119-126,共8页Journal of Technical Economics & Management

基　　金：国家社会科学基金一般项目(23BJY062);河南省哲学社会科学规划年度项目(2022BJJ065);河南省软科学研究计划项目(222400410160);河南省高等学校青年骨干教师培养计划项目(2023GGJS079);河南省高校人文社会科学研究一般项目(2024-ZZJH-152)。

摘　　要：基于引力模型构建中国高耗能产业的复合空间关联网络,利用社会网络方法和计量模型分析关联网络的主要特征及影响因素。结果表明:网络整体连通良好,密度变化不大,区域关联稳定,省际关联强度呈现缓慢而稳定的增长趋势;网络存在空间集聚,各板块内的关联密切,板块间流动偏弱;京津冀地区、长江中下游地区及黄河下游地区相关省份在网络中区位优势明显,影响力较强;经济发展水平、交通便利程度、科技投入水平、自然资源禀赋对关联强度均有显著的正向影响,能源消费结构和市场开放强度有显著的负向影响,各因素的影响存在网间差异性和时间分异性。Construct a composite spatial correlation network for China's energy-intensive industries based on the gravity model.The social network analysis method and econometric modelsare used to analyze the main characteristics and influencing factors of spatial cor-relation strength.The results show that:The overall connectivity of the network is good,with little change in network density,the regional correlation is stable,and a slow and stable growth trend in provincial association strength.There is a significant spatial clustering in the network,the correlation within each plate is close,and the mobility between plates is weak.The provinces in the Beijing-Tianjin-Hebei region,the middle and lower reaches of the Yangtze River,and the lower reaches of the Yellow River have significant regional advantages and strong influence in the network.The level of economic development,transportation convenience,technological investment,and natural resource endowment have a significant positive impact on the strength of the correlation,while the energy consumption structure and market opening intensity show a significant negative impact,and the impact of each factor varies across the network and time.

关 键 词：高耗能产业 空间关联网络 复合网络 能源消费结构 

分 类 号：F832[经济管理—金融学]