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作 者:赵小风[1] 黄贤金[2,3] 钟太洋[2] 彭佳雯[2] 赵雲泰[2] 吕晓[2]
机构地区:[1]南京大学政府管理学院,南京210093 [2]南京大学国土资源与旅游学系,南京210093 [3]江苏省土地开发整理技术工程中心,南京210029
出 处:《地理研究》2012年第9期1611-1620,共10页Geographical Research
基 金:国家社会科学基金资助项目(10ZD&M030);国家自然科学基金资助项目(41201573;41271190)
摘 要:本文构建了分层线性模型以揭示不同层次因素对工业用地集约利用的影响。研究表明,开发区土地集约度的差异有63.96%是开发区本身的差异造成的,有36.04%是区域之间的差异造成的;开发区成立年限、开发区入驻企业数量和开发区土地政策强度在区域之间存在明显的变异,开发区区位和开发区级别对开发区土地集约度的关系不依赖于区域环境的变化;区域工业产值和区域城市化率两个变量对开发区成立年限和开发区土地集约度的正向关联影响不显著;区域工业产值会强化开发区入驻企业数量和开发区土地集约度之间的正向关联,而区域城市化率则弱化了开发区入驻企业数量和开发区土地集约度之间的正向关联;开发区土地政策强度和开发区土地集约度之间的正向关系受区域工业产值的影响不大,而区域城市化率会强化开发区土地政策强度和开发区土地集约度之间的正向关系;区域层次变量解释了18.18%的开发区入驻企业数量与开发区土地集约度之间的相关,解释了11.27%的开发区土地政策强度与开发区土地集约度之间的相关。There are many complex factors that affect intensive land use in development zones at both development zonal and regional levels. What's more, the two levels of factors interact with each other. Therefore, to reveal driving force of intensive land use in devel- opment zones, it is very important to analyze the interactions between the two level fac- tors. Hierarchical linear model can reveal the impact of development zone level variables and regional level variables on intensive land use in development zones and help clarify the mechanism of intensive industrial land use. In this paper, null model, random effect re- gression model and full model were established to discuss how the factors of different lev- els affect the intensive land use in development zones. Null model analysis shows that 63.96% of the differences in intensive land use degree in development zones were caused by differences on development zone level, with 36.04% being caused by differences on re- gional level. Random effect regression model analysis indicates that there were evident var- iations among regions in set up years, number of enterprises and land policy intensity of development zones, while location and level of development zones were independent of re- gional environmental changes. Full model analysis indicates that the impact of regional in- dustrial output value and regional urbanization rate on the positive correlation between set up years and intensive land use degree of development zones was not significant; regional industrial output value has strengthened the positive correlation between the number of en- terprises and the intensive land use degree whereas regional urbanization rate has weakened the positive correlation between them; regional industrial output value has little effect on the positive correlation between the land policy intensity and the intensive land use degree whereas regional urbanization rate has strengthened the positive correlation between them; regional level variables have explained 18. 18% of the cor
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