资源科学 ›› 2021, Vol. 43 ›› Issue (6): 1193-1207.doi: 10.18402/resci.2021.06.11

• 土地资源 • 上一篇    下一篇

技术异质性下中国三大城市群工业用地利用效率评价

韩海彬(), 牛可萌   

  1. 天津商业大学公共管理学院,天津 300134
  • 收稿日期:2020-09-11 修回日期:2021-01-19 出版日期:2021-06-25 发布日期:2021-08-25
  • 作者简介:韩海彬,男,河北满城人,博士,副教授,研究方向为资源与环境经济。E-mail: hshore@126.com
  • 基金资助:
    国家社会科学基金项目(14BTJ014)

Evaluation of industrial land use efficiency of China’s three major urban agglomerations under technology heterogeneity

HAN Haibin(), NIU Kemeng   

  1. School of Public Administration, Tianjin University of Commerce, Tianjin 300134, China
  • Received:2020-09-11 Revised:2021-01-19 Online:2021-06-25 Published:2021-08-25

摘要:

提高工业用地利用效率、深入挖掘工业用地节约潜力是缓解城市群工业用地供需矛盾、推动城市群绿色可持续发展的重要途径。本文将非期望产出纳入工业用地利用效率评价体系,并在技术异质性框架下,采用共同前沿广义方向性距离函数模型,对2003—2016年京津冀、长三角、珠三角三大城市群的工业用地利用效率进行评价。研究结果表明:①共同前沿下,三大城市群工业用地利用效率间存在差异,珠三角城市群的工业用地利用效率最高,京津冀城市群次之,长三角城市群最低。②京津冀和珠三角城市群工业用地利用效率损失主要来源于管理无效率,而长三角城市群工业用地利用效率损失的来源无明显偏向性,管理无效率和技术差距无效率对其贡献度大致相当。③根据工业用地利用效率损失的根源,可将三大城市群内各城市划分为保持现状型、组内学习型、整体提升型和跨组学习型4种类型。本文结果有利于揭示三大城市群工业用地利用效率损失的根源,挖掘三大城市群工业用地节约潜力,从而为制定城市群工业用地高质量利用政策提供参考。

关键词: 技术异质性, 共同前沿, 工业用地利用效率, 广义方向性距离函数, 非期望产出, 城市群

Abstract:

Improving the industrial land use efficiency and tapping into the potential for conserving industrial land are feasible ways to alleviate the conflict between the supply and demand of industrial land in urban agglomerations and promote green and sustainable development. This study incorporated undesirable outputs into the evaluation system of industrial land use efficiency. Using the meta-frontier generalized directional distance function model (MGDDF), this study explored the industrial land use efficiency in the Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta urban agglomerations with consideration of technology heterogeneity in these regions from 2003 to 2016. The results show that: (1) Under the meta-frontier, there are differences in industrial land use efficiency among the three urban agglomerations. The industrial land use efficiency of the Pearl River Delta is the highest, followed by the Beijing-Tianjin-Hebei region, and the Yangtze River Delta has the lowest efficiency. (2) The loss of industrial land use efficiency in the Beijing-Tianjin-Hebei and Pearl River Delta urban agglomerations mainly stem from management inefficiency, while the source of the loss of industrial land use efficiency in the Yangtze River Delta urban agglomeration has no obvious bias and the contribution of management inefficiency and technical inefficiency is roughly the same. (3) According to the decomposition results of industrial land use efficiency loss, the cities in the three urban agglomerations are divided into four types: maintaining the status quo, intra-group learning, overall improvement, and cross-group learning. This study would be useful for revealing the source of the loss of industrial land use efficiency in the three urban agglomerations and for tapping into the potential of industrial land conservation in the three urban agglomerations, which may have practical implications to formulating high-quality industrial land utilization policies in urban agglomerations.

Key words: technology heterogeneity, meta-frontier, industrial land use efficiency, generalized directional distance function, undesirable output, urban agglomerations