地理研究 ›› 2014, Vol. 33 ›› Issue (11): 1995-2004.doi: 10.11821/dlyj201411001

• •    下一篇

中国耕地利用效率及其影响因素的区域差异——基于281个市的面板数据与随机前沿生产函数方法

王良健(), 李辉   

  1. 湖南大学经济与贸易学院,长沙 410079
  • 收稿日期:2014-03-29 修回日期:2014-08-15 出版日期:2014-11-10 发布日期:2015-03-13
  • 作者简介:

    作者简介:王良健(1964- ),男,湖南双峰人,教授,博士生导师,主要从事区域经济与土地经济研究工作。E-mail:wangliangjian1234@126.com

  • 基金资助:
    国家自然科学基金项目(41371184);湖南省科技厅软科学重点项目(2012ZK2009);湖南省国土资源厅软科学项目(2014-15)

Cultivated land use efficiency and the regional characteristics of its influencing factors in China:By using a panel data of 281 prefectural cities and the stochastic frontier production function

Liangjian WANG(), Hui LI   

  1. College of Economics and Trade, Hunan University, Changsha 410079, China
  • Received:2014-03-29 Revised:2014-08-15 Online:2014-11-10 Published:2015-03-13

摘要:

以耕地地均投入产出关系建立随机前沿生产函数模型,采用281个地级以上市的面板数据,研究了中国2001-2011年耕地利用效率及其影响因素区域差异。结果表明:2001年以来中国耕地利用效率稳步提升,但普遍较低。耕地利用效率按照东部、中部、东北、西北、西南的顺序递减,其中东北地区耕地利用效率增长最快。各区域耕地利用效率显著影响因素差异明显:信息化程度、农业贷款规模和免征农业税对五大区域有显著正影响,而作用程度存在差别;有效灌溉面积占比对中部、西北、西南地区有正影响;粮食种植面积占比对东部、中部有正影响,而对西南地区有显著负影响;劳均耕地规模对中部、西南地区正作用最大;交通条件对东部、中部、东北、西北地区有显著正影响。

关键词: 耕地利用效率, 影响因素, 区域差异, 随机前沿生产函数, 中国

Abstract:

According to the input-output relationship of cultivated land per unit, this paper constructs a stochastic frontier production function to estimate the cultivated land use efficiency and analyzes the regional characteristics of its influencing factors using a panel data of 281 prefectural cities in China from 2001 to 2011. Our first main result is that the cultivated land use efficiency increases steadily but still remains at a relatively low level since 2001. Meanwhile, the regional difference of cultivated land use efficiency is quite apparent. The efficiency decreases with the following order: the eastern, central, northeastern, northwestern and southwestern China, and grows fastest in the northeastern region. The study of influencing factors of cultivated land use efficiency suggests that: (1) Total personal postal and telecommunication services, agricultural loan scale and the exemption of agricultural tax have significant positive effect in different ways on cultivated land use efficiency in the regions above. (2) The proportion of effective irrigation area of cultivated land has positive influence on cultivated land use efficiency in the central, northwestern, southwestern regions respectively. (3) The proportion of crop acreage has a positive effect on cultivated land use efficiency in the central region, while negative in the southwestern. (4) The scale of cultivated land per labor has the strongest positive effect in the central and southwestern regions. (5) Total freight has a positive impact in the eastern, central, northeastern, northwestern regions. Several feasible suggestions are concluded from the study. First, innovate the operating mechanism and improve the capability of agricultural public services. Second, promote land transfer and expand the expenditure of agricultural loan scale and cultivate the scale operation of cultivated land. Third, reinforce the construction of the transportation and information service infrastructure in villages, and consummate agricultural product market system. Fourth, increase agricultural water conservancy facilities in the central and western regions. Fifth, enlarge the food cultivated area in the eastern and central regions, and strengthen the construction of grain production base in the central region, and expand the area of industrial crops and support featured agriculture in the southwestern region.

Key words: cultivated land use efficiency, the influencing factors, regional characteristics, stochastic frontier production function model, China