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中国城市土地利用效率及其溢出效应与影响因素
引用本文:王良健,李辉,石川.中国城市土地利用效率及其溢出效应与影响因素[J].地理学报,2015,70(11):1788-1799.
作者姓名:王良健  李辉  石川
作者单位:湖南大学经济与贸易学院,长沙 401079
基金项目:国家自然科学基金项目(41371184);湖南省国土资源厅软科学研究计划项目(2014-15)
摘    要:基于C-D函数剔除城市经济非期望产出构建随机生产函数模型,以地均投入产出技术效率表征城市土地利用效率,采用2003-2012年282个地级以上市面板数据测算了中国城市土地利用效率,并建立空间滞后计量模型分析了城市土地利用效率的溢出效应与影响因素的区域差异。结果表明:① 中国城市土地利用效率有所提升,且存在明显的空间特征与区域差异。空间特征显示,效率较高的城市主要集中在珠三角、湖南、湖北、河南南部、安徽东部、山东与江苏交界处。区域差异显示,中部地区城市土地利用效率最高而东北地区最低,西北地区城市土地利用效率增速最快而西南地区较低且增速最慢;② 中国城市土地利用效率存在显著为正的溢出效应,其中在中部、东北、西北地区较高,而在西南地区最低;③ 影响因素在各区域对城市土地利用效率的作用存在明显差异,有必要采取具有区域针对性的措施提升城市土地利用效率。

关 键 词:城市土地利用效率  溢出效应  随机前沿生产函数  空间滞后模型  中国  
收稿时间:2015-01-27
修稿时间:2015-05-28

Urban land-use efficiency,spatial spillover,and determinants in China
Liangjian WANG,Hui LI,Chuan SHI.Urban land-use efficiency,spatial spillover,and determinants in China[J].Acta Geographica Sinica,2015,70(11):1788-1799.
Authors:Liangjian WANG  Hui LI  Chuan SHI
Institution:College of Economics and Trade, Hunan University, Changsha 410079, China
Abstract:The paper estimates urban land-use efficiency, investigates its spillover effect, and analyses its determinants based on stochastic frontier production function and spatial lag model, by using city-level panel data of 282 cities during 2003-2012. The empirical results support that: first, there exists an obvious spatial and temporal variation in land-use efficiency among the 282 cities from 2003-2012. For example, the land-use efficiency indices in most of the cities were below 0.8 in 2003. However, these indices rose up to 0.8 in 2012. The cities with high land-use efficiency are concentrated in the Pearl River Delta, Hunan province, Hubei province, southern Henan province, eastern Anhui province and the junction between Shandong and Jiangsu provinces. Cities located in central China are most efficient in land use, while northeastern cities are most inefficient ones. The land-use efficiency in northwestern cities grows fastest while that in southwest cities slowest. Second, the spillover effect of land-use efficiency is significantly positive, which is higher in central, northeastern and northwestern than in southeastern cities. The spatial spillovers might originate from the demonstration effect of land-use efficiency through technological diffusion and industrial transfer. Third, there exist similarities and differences in determinants of urban land-use efficiency across cities and regions. Overall, transportation infrastructure, information technology, saving level positively affect urban land-use efficiency, while foreign direct investment, or loans do not significantly increase the urban land-use efficiency. The population density affects land-use efficiency convexly in eastern and southwestern cities and concavely in northeastern cities. Fiscal expenditure exerts significant positive influence on land-use efficiency in eastern, northeastern, northwestern, and southwestern cities. The ratio of college students to population positively influences urban land-use efficiency in eastern cities, while negatively in other ones. The medical care affects urban land-use efficiency negatively over the whole country but not in northwest China. Land marketization is conducive to urban land-use efficiency in eastern, central and southwestern China. The influence of land type on land-use efficiency varies across different regions and cities.
Keywords:urban land-use efficiency  spatial spillovers  stochastic frontier function  spatial lag model  China  
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