自然资源学报 ›› 2021, Vol. 36 ›› Issue (5): 1268-1281.doi: 10.31497/zrzyxb.20210514

• 其他研究论文 • 上一篇    下一篇

基于随机前沿分析的中国城镇建设用地利用效率研究

刘书畅1,2(), 叶艳妹1,2(), 李林林1,2, 肖武1,2   

  1. 1.浙江大学公共管理学院,杭州 310058
    2.浙江大学土地与国家发展研究院,杭州 310058
  • 收稿日期:2019-11-25 修回日期:2020-08-25 出版日期:2021-05-28 发布日期:2021-07-28
  • 通讯作者: 叶艳妹(1964- ),女,浙江金华人,博士,教授,研究方向为土地整治、土地利用。E-mail: yeyanmei@zju.edu.cn
  • 作者简介:刘书畅(1995- ),男,河南周口人,博士研究生,研究方向为城乡土地利用、土地整治。E-mail: liushuchang313@163.com
  • 基金资助:
    浙江省自然科学基金项目(LY20D010008)

Research on urban land use efficiency in China based on the stochastic frontier analysis

LIU Shu-chang1,2(), YE Yan-mei1,2(), LI Lin-lin1,2, XIAO Wu1,2   

  1. 1. School of Public Affairs, Zhejiang University, Hangzhou 310058, China
    2. Land Academy for National Development, Zhejiang University, Hangzhou 310058, China
  • Received:2019-11-25 Revised:2020-08-25 Online:2021-05-28 Published:2021-07-28

摘要:

建设用地高效利用是促进城镇高质量增长的有效方式之一。借助2009—2016年30个省级单元面板数据,构建了用于城镇建设用地效率测度的“一步法”随机前沿模型,并对效率水平与建设用地投入、污染水平等展开关联比较。结果表明:(1)非期望产出会导致城镇建设用地利用效率损失,研究期内其分别造成东、中、西部效率损失3.77%、7.74%、8.77%。(2)效率分布具有明显的区域非均衡性,东部总体水平最高,而西部最低;且在考虑非期望产出后,不同地区效率值会因污染排放程度的差异而呈现更大分异。(3)高投入、高产出并不一定带来高土地利用效率,较高的污染排放也会造成效率损失。研究结果有助于揭示未来建设用地效率改进的重点与方向。

关键词: 城镇建设用地利用效率, 随机前沿分析, 非期望产出, 区域分异, 中国

Abstract:

Efficient utilization of urban land is one of the important ways to promote the high-quality development of cities and towns. Taking the panel data of 30 provincial-levels in China during 2009-2016 as samples, a "one-stage" stochastic frontier production function model is used to measure urban land use efficiency. Then, the correlations between efficiency level, inputs, and pollution emission during land use in various regions of China are further analyzed. Results show that: (1) Undesirable output results in a loss of land use efficiency. During the study period, undesirable output causes 3.77%, 7.74%, and 8.77% declines in the eastern, central, and western regions, respectively. (2) Urban land use efficiency shows a significant regional difference. The average efficiency level in the eastern region is the highest, while that in the western region is the lowest. The difference among various regions becomes greater when undesirable output is considered. (3) High input-output level does not necessarily guarantee high efficiency level. A higher pollution emission intensity may cause a greater efficiency loss. The research results help to reveal the focus and direction of the improvement of urban land use efficiency in the future.

Key words: urban land use efficiency, stochastic frontier analysis, undesirable output, regional difference, China