地理研究 ›› 2017, Vol. 36 ›› Issue (7): 1386-1398.doi: 10.11821/dlyj201707016

• 研究论文 • 上一篇    

基于内生方向距离函数的中国城市土地利用效率分析

王建林1(), 赵佳佳2, 宋马林3()   

  1. 1. 东北财经大学产业组织与企业组织研究中心,大连 116025
    2. 东北财经大学经济与社会发展研究院,大连 116025
    3. 安徽财经大学统计与应用数学学院,蚌埠 233030
  • 收稿日期:2017-01-18 修回日期:2017-05-27 出版日期:2017-07-31 发布日期:2017-07-31
  • 作者简介:

    作者简介:王建林(1979- ),男,河北晋州人,博士,研究方向为产业经济学和能源经济学。E-mail: wangjianlin100@163.com

  • 基金资助:
    教育部哲学社会科学研究重大攻关项目(14JZD031);教育部人文社会科学研究青年基金项目(16YJCZH155);浙江省社科重点研究基地资助项目(12JDGZ01Z)

Analysis of urban land use efficiency in China based on endogenous directional distance function model

Jianlin WANG1(), Jiajia ZHAO2, Malin SONG3()   

  1. 1. Center for Industrial and Business Organization, Dongbei University of Finance and Economics, Dalian 116025, Liaoning, China
    2. Institute of Economic and Social Development, Dongbei University of Finance and Economics, Dalian 116025, Liaoning, China
    3. School of Statistics and Applied Mathematics, Anhui Finance and Economics University, Bengbu 233030, Anhui, China
  • Received:2017-01-18 Revised:2017-05-27 Online:2017-07-31 Published:2017-07-31

摘要:

中国特有的土地财政制度激励着地方政府不断扩大城市建设用地。为了对城市的土地使用效率进行衡量与比较,在内生方向距离函数模型基础上,提出一种新的测度效率的模型,对中国283个地级以上城市的土地使用情况进行了测算。结果显示:土地使用效率在不同规模城市之间存在显著差异,大城市的土地效率显著高于中小城市。进一步meta-frontier分析显示,不同规模城市的土地使用效率差别主要来源于自身技术效率差异,而非城市运作环境的差异。基于上述发现,提出若干关于提升中国城市土地使用效率的政策建议。

关键词: 城市土地使用效率, 内生方向距离函数, meta-frontier方法, 土地政策

Abstract:

The Chinese government's pursuit of expanding municipal areas results in the speed of land urbanization exceeding that of population urbanization, which not only affects urban land use efficiency, but also threatens China's grain security. In this study, we measured urban land use efficiency under the DEA framework, compared the gap among different groups of cities, and presented relevant policy suggestions. We proposed an endogenous directional distance function model for measuring efficiency, which has many advantages compared with existing models. First, our model can decrease inputs and increase outputs simultaneously, and the measure is closer to the general definition of urban land use efficiency. Most studies have employed classic input-oriented models to measure land use efficiency. Our new model can choose endogenous directional vectors according to slack values, which can avoid the directional distance function model's problem of overestimating efficiency. In addition, compared with previous models, our model makes better economic sense. Using the new model, the urban land use efficiencies of 283 prefecture-level cities were evaluated. The results showed the average efficiency of all cities was about 0.53, meaning China's overall urban land use level is low and has substantial potential to be exploited. Moreover, large efficiency gaps were found among cities of different scales, and the average land use efficiencies of large-scale cities were higher than those of small-scale cities. Through efficiency decomposition, we found that the gaps among cities of different scales resulted from technical efficiency, and not operation environments. The land use efficiency of the small and medium-sized cities with a population less than 1 million was the lowest. However, their group-frontier was very close to the meta-frontier of all the samples. Overall, the poor land use performance was mainly due to the low technical efficiency of the urban individual. Further analysis showed that the deeper reason was the existence of land over-input. Based on the analysis results above, we presented some suggestions including changing government functions, strengthening the construction of land use institution, and paying attention to the revamp of the stock of land.

Key words: urban land use efficiency, endogenous directional function model, meta-frontier method, land policy