资源科学 ›› 2018, Vol. 40 ›› Issue (6): 1163-1174.doi: 10.18402/resci.2018.06.07

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中国工业用地利用效率收敛特征

严思齐(), 彭建超, 吴群()   

  1. 南京农业大学公共管理学院,南京 210095
  • 收稿日期:2017-09-06 修回日期:2018-03-19 出版日期:2018-06-25 发布日期:2018-06-22
  • 作者简介:

    作者简介:严思齐,男,山东济南人,博士,讲师,主要研究方向为土地经济与政策。E-mail: yansiqi@njau.edu.cn

  • 基金资助:
    国家自然科学基金青年科学基金项目(71603120);南京农业大学中央高校基本科研业务费青年科技创新基金项目(KJQN201714);国家自然科学基金面上项目(71673140)

The convergence characteristics of industrial land use efficiency in China

Siqi YAN(), Jianchao PENG, Qun WU()   

  1. College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China
  • Received:2017-09-06 Revised:2018-03-19 Online:2018-06-25 Published:2018-06-22

摘要:

研究工业用地利用效率的收敛特征对于推动区域均衡发展、促进全域性的工业用地利用效率提升具有重要意义。本文在科学界定工业用地利用效率内涵的基础上,基于随机前沿分析框架测度了中国大陆各省级行政区2000—2015年间的工业用地利用效率,采用空间计量方法进行了β收敛分析和俱乐部收敛分析,并考察了影响工业用地利用效率提升和稳态形成的因素。研究结果表明:①工业用地利用效率存在着β收敛和σ收敛,收敛速度为0.143,且地区间工业用地利用效率增长存在着显著的相互影响;②经济发展水平、研发投入和对外开放水平等因素对工业用地利用效率的提升和稳态的形成具有显著影响;③基于Moran散点图的探索性空间数据分析将各省级行政区划分为HH组、LL组和LH组这3个区域组,工业用地利用效率在各区域组内均存在着俱乐部收敛,收敛速度分别为0.289、0.149和0.196,均快于中国大陆整体的收敛速度。

关键词: 工业用地利用效率, 收敛特征, 随机前沿生产函数, 空间计量模型, 中国

Abstract:

Examining the convergence characteristics of industrial land use efficiency is of great significance when promoting regional balanced development and increasing industrial land use efficiency in China. Based on the scientific definition of industrial land use efficiency, we measured industrial land use efficiency of various provincial-level administrative divisions in mainland China from 2000-2015 using a stochastic frontier analysis framework. We also conducted β convergence analysis and club convergence analysis using spatial econometric methods, and explored factors affecting improvements in industrial land use efficiency and formation of steady state. Since there is widespread spatial interaction of economic activities, it is more appropriate to conduct convergence analysis using spatial econometric methods than using traditional econometric methods. The results suggest that there is β convergence and σ convergence in industrial land use efficiency, and the convergence speed is 0.143. There is significant regional interaction in the growth of industrial land use efficiency. The level of economic development, level of research and development input and degree of openness has a significant impact on improvements in industrial land use efficiency and formation of steady state. The exploratory spatial data analysis based on Moran scatter plots categorizes various provincial-level administrative divisions into three regional groups: HH group, LL group and LH group. The HH group, LL group and LH group include 5 provincial-level administrative divisions, 15 provincial-level administrative divisions and 4 provincial-level administrative divisions, respectively. There is club convergence in industrial land use efficiency within each of the three regional groups. The convergence speed is 0.289, 0.149 and 0.196, respectively, which is higher than that of mainland China as a whole.

Key words: industrial land use efficiency, convergence characteristics, stochastic frontier production function, spatial econometric models, China