Journal of Geographical Sciences ›› 2013, Vol. 23 ›› Issue (3): 387-403.doi: 10.1007/s11442-013-1017-7

• Research Articles •    下一篇

Differentiation characteristics and influencing factors of ecological land rent among provinces in China

LONG Kaisheng1, ZHAO Yali1, ZHANG Honghui2, CHEN Ligen1, LU Fangfang1, GU Yuanyuan1   

  1. 1. College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China;
    2. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China
  • 收稿日期:2012-11-08 修回日期:2012-12-10 出版日期:2013-06-15 发布日期:2013-06-15
  • 作者简介:Long Kaisheng (1981-), Ph.D and Associate Professor, specialized in resource sustainable use and resource management. E-mail: longkaisheng@njau.edu.cn
  • 基金资助:

    National Natural Science Foundation of China, No.41001382; No.41201386

Differentiation characteristics and influencing factors of ecological land rent among provinces in China

LONG Kaisheng1, ZHAO Yali1, ZHANG Honghui2, CHEN Ligen1, LU Fangfang1, GU Yuanyuan1   

  1. 1. College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China;
    2. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China
  • Received:2012-11-08 Revised:2012-12-10 Online:2013-06-15 Published:2013-06-15

摘要:

Ecological land rent is the excess profit produced by resource scarcity, and is also an important indicator for measuring the social and economic effects of resource scarcity. This paper, by calculating the respective ecological land rents of all the provinces in China for the years 2002 and 2007, and with the assistance of the software programs ArcGIS and GeoDA, analyzes the spatial differentiation characteristics of ecological land rent; then, the influencing factors of ecological land rent differentiation among the provinces are examined using the methods of traditional regression and spatial correlation analysis. The following results were obtained: First, ecological land rent per unit of output in China shows stable distribution characteristics of being low in the southwestern and northeastern provinces, and high in Hebei and Henan provinces. There is also an increasing tendency in the central and western provinces, and a decreasing one in the eastern provinces. In general, the spatial distribution of ecological land rent per unit of output in China is quite scattered. Second, the total ecological land rent shows significant spatial aggregation characteristics, in particular the provinces in China possessing high total amounts of ecological land rent tend to be adjacent to one another, as do those with low total amounts, and the spatial difference characteristics of the eastern, central and western provinces are distinguished. The Bohai Rim, Yangtze River Delta and Pearl River Delta are shown to be highly clustering regions of total ecological land rent, while the western provinces have very low ecological land rent in terms of total amount. Third, population distribution, economic level and industrial structure were all important influencing factors influencing ecological land rent differentiation among provinces in China. Furthermore, population density, urbanization level, economic density, per capita consumption level and GDP per capita were all shown to be positively related to total ecological land rent, which indicates that spatial clustering exists between ecological land rent and these factors. However, there was also a negative correlation between ecological land rent and agricultural output percentage, indicating that spatial scattering exists between ecological land rent and agricultural output percentage.

关键词: ecological land rent, spatial differentiation, influencing factors, Global Moran’s I, China

Abstract:

Ecological land rent is the excess profit produced by resource scarcity, and is also an important indicator for measuring the social and economic effects of resource scarcity. This paper, by calculating the respective ecological land rents of all the provinces in China for the years 2002 and 2007, and with the assistance of the software programs ArcGIS and GeoDA, analyzes the spatial differentiation characteristics of ecological land rent; then, the influencing factors of ecological land rent differentiation among the provinces are examined using the methods of traditional regression and spatial correlation analysis. The following results were obtained: First, ecological land rent per unit of output in China shows stable distribution characteristics of being low in the southwestern and northeastern provinces, and high in Hebei and Henan provinces. There is also an increasing tendency in the central and western provinces, and a decreasing one in the eastern provinces. In general, the spatial distribution of ecological land rent per unit of output in China is quite scattered. Second, the total ecological land rent shows significant spatial aggregation characteristics, in particular the provinces in China possessing high total amounts of ecological land rent tend to be adjacent to one another, as do those with low total amounts, and the spatial difference characteristics of the eastern, central and western provinces are distinguished. The Bohai Rim, Yangtze River Delta and Pearl River Delta are shown to be highly clustering regions of total ecological land rent, while the western provinces have very low ecological land rent in terms of total amount. Third, population distribution, economic level and industrial structure were all important influencing factors influencing ecological land rent differentiation among provinces in China. Furthermore, population density, urbanization level, economic density, per capita consumption level and GDP per capita were all shown to be positively related to total ecological land rent, which indicates that spatial clustering exists between ecological land rent and these factors. However, there was also a negative correlation between ecological land rent and agricultural output percentage, indicating that spatial scattering exists between ecological land rent and agricultural output percentage.

Key words: ecological land rent, spatial differentiation, influencing factors, Global Moran’s I, China