首页|黄河流域绿色发展效率空间关联网络及影响因素研究

黄河流域绿色发展效率空间关联网络及影响因素研究

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原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
黄河流域是我国重要的生态屏障和经济地带,流域内各区域的绿色发展问题研究显得尤为重要.基于2006-2020年黄河流域60个城市的面板数据,采用非期望Super-SBM模型对该区域城市绿色发展效率进行测度,并通过修正的引力模型和社会网络分析方法深入探究绿色发展效率的关联网络结构特征及影响因素.结果表明:①黄河流域绿色发展效率总体处于波动上升状态,空间上呈现为上游地区＞下游地区＞中游地区的梯性差异;②黄河流域绿色发展效率关联网络在一定程度上突破了地理邻近效应,并表现出复杂的网络结构,但整体网络密度仍处于较低水平,具有较大的发展潜力;③黄河流域城市绿色发展效率关联网络包括净溢出、经纪人、双向溢出和净受益4个板块,关联路径以板块间为主;④城市间地理临近、经济发展水平、科技创新水平和产业结构差异等自然和社会经济因素对黄河流域绿色发展效率关联网络的形成具有显著影响.
Research on spatial correlation network and influencing factors of green development efficiency in the Yellow River Basin
As the Yellow River Basin is an important ecological barrier and economic zone in China,it is particularly important to study the green development of the regions in the basin.Based on the panel data of 60 cities in the Yellow River Basin from 2006 to 2020,this paper measured the green development efficiency of cities in the region using the non-expectation Super-SBM model,and discussed in depth the characteristics of the correlation network structure of green development efficiency and the influencing factors through the modified gravitational model and social network analysis methods.The results showed that:①The green development effi-ciency of the Yellow River Basin was generally fluctuating and rising,and spatially presented a gradient difference of upstream＞down-stream＞midstream.②The green development efficiency correlation network in the Yellow River Basin had broken through the geo-graphical proximity effect to a certain extent and exhibited a complex network structure,but the overall network density was still at a low level and has greater development potential.③The green development efficiency correlation network of cities in the Yellow River Basin included four segments:Net spillover,broker,two-way spillover and net benefit,and the association paths were mainly inter-segment.④Natural and socio-economic factors such as geographical proximity,economic development level,science and technology innovation level and industrial structure differences among cities had significant influence on the formation of the green development efficiency as-sociation network in the Yellow River Basin.

green development efficiencySuper-SBM modelspatial association networksocial network analysisthe Yellow Riv-er Basin

刘学峰、丁翔宇、董会忠、盛科荣

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山东理工大学管理学院,山东淄博 255000

山东理工大学经济学院,山东淄博 255000

绿色发展效率 Super-SBM模型 空间关联网络 社会网络分析 黄河流域

国家自然科学基金项目山东省自然科学基金项目山东省自然科学基金项目山东省大学生创新创业训练计划项目

42371209ZR2023MD049ZR2023MG054S202310433054

2024

10.3969/j.issn.1005-8141.2024.02.004

资源开发与市场
四川省自然资源科学研究院

资源开发与市场

CSTPCDCHSSCD
影响因子：0.581
ISSN：1005-8141
年,卷(期)：2024.40(2)
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