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作 者:张诗嘉 杜书云[1] 刘晓英[1] 牛文涛 ZHANG Shi-jia;DU Shu-yun;LIU Xiao-ying;NIU Wen-tao(School of Tourism Management,Zhengzhou University,Zhengzhou 450001,China)
出 处:《资源开发与市场》2022年第3期280-289,共10页Resource Development & Market
基 金:国家社会科学基金项目(编号:15CJY023);河南省高等学校重点科研项目(编号:20A790026)。
摘 要:运用super-SBM模型测算了2006-2018年黄河下游城市群土地利用生态效率并分析其时空演变特征,借助空间自相关模型分析其空间相关性,利用SDM模型进一步分析其影响因素。结果表明:(1)黄河下游城市群土地利用生态效率整体水平较低,研究期内呈现波动上升趋势。(2)黄河下游城市群土地利用生态效率呈现出过渡格局,且存在显著正向的空间相关性,具有空间溢出效应。(3)经济发展水平、产业结构、科技投入对提高土地利用生态效率具有积极作用,而财政压力和生态压力产生抑制作用。Used the super-SBM model to calculate the land use eco-efficiency of urban agglomeration in the Lower Yellow River from2006 to 2018,this paper analyzed its spatial-temporal evolution characteristics,and its spatial correlation through the spatial autocorrelation model,then used SDM model to study its influencing factors. The results showed that:(1)The overall level of land use eco-efficiency of urban agglomeration in the Lower Yellow River was relatively low,and it showed an upward trend of fluctuation during the study period.(2)Land use eco-efficiency of urban agglomeration in the Lower Yellow River showed a transitional pattern,and there was a significant positive spatial correlation,which had a spatial spillover effect.(3)The level of economic development,industrial structure and technological investment had a significant promoting effect on improving the land use eco-efficiency,while fiscal pressure and ecological pressure had a restraining effect.
关 键 词:土地利用 超效率SBM模型 MALMQUIST指数 空间杜宾模型 黄河下游城市群
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