地理科学进展 ›› 2010, Vol. 29 ›› Issue (6): 693-700.doi: 10.11820/dlkxjz.2010.06.008

• 区域经济与交通 • 上一篇    下一篇

1997-2007 年中国建设用地在经济增长中的利用效率

杜官印,蔡运龙   

  1. 北京大学城市与环境学院,北京100871
  • 收稿日期:2010-04-01 修回日期:2010-05-01 出版日期:2010-06-25 发布日期:2010-06-25
  • 作者简介:杜官印(1972-),男,山西怀仁人,博士研究生.主要从事土地管理研究.E-mail: duguanyin@163.com
  • 基金资助:

    国家自然科学基金项目(40971051).

Technical Efficiency of Built-up Land in China's Economic Growth during 1997-2007

DU Guanyin,CAI Yunlong   

  1. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
  • Received:2010-04-01 Revised:2010-05-01 Online:2010-06-25 Published:2010-06-25

摘要:

中国建设用地面积与经济同步增长,但也存在低效利用的问题。本文应用数据包络分析面向投入的CCR 模型,测算得到了1997-2007 年28 个省份的资本、劳动和建设用地投入对GDP 产出的效率。研究表明:①多数省 份的建设用地等要素投入平均效率较低, 各地区效率水平基本上与其经济发展水平一致; ②以1997-2002 年和 2003-2007 年两个时间段分别计算平均效率,有21 个省份后一时段的效率相对降低,这个趋势与后一时段中国重 化工业加速发展的趋势相吻合;③在资本、劳动和建设用地投入方面,存在不同形式的投入要素的松弛,即纯超量 投入,主要以就业人口和建设用地的松弛为主,进一步表明这些生产要素没有实现最佳配置。

关键词: 建设用地, 经济增长, 数据包络分析, 效率, 中国

Abstract:

Built-up land expands with China's economic growth, while it is not utilized efficiently. This study takes capital, labour and built-up land as input factors, and gross domestic product (GDP) as output factor to analyze the technical efficiency of each province from 1997 to 2007 by adopting input-oriented CCR model with Data Envelopment Analysis (DEA). The research results show that the average technical efficiency of most provinces is low, which is consistent with their economic development levels. By calculating the average technological efficiency of each province during two periods of 1997-2002 and 2003-2007, it is found that the technological efficiency in 21 provinces during 2003-2007 is lower than that during 1997-2002. This tendency is in coincidence with the accelerated development of the heavy industry and the chemical industry during 2003- 2007. There is an evidence that the inputs of capital, labour and built-up land are slack,which means those inputs are relatively excessive and not allocated appropriately.

Key words: built-up land, China, data envelopment analysis (DEA), economic growth, efficiency