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Journal of Mountain Science

, Volume 11, Issue 3, pp 816–824 | Cite as

Determinants of public goods investment in rural communities in mountainous areas of Sichuan Province, China

  • Shi-li Guo
  • Shao-quan LiuEmail author
  • Ren-fu Luo
  • Lin-xiu Zhang
Article

Abstract

This study aims to investigate two important issues: what are the determinants of public goods investment and what is the government’s investment behavior in mountainous areas. The impacts of natural conditions, target, and demand elements on public goods investment are analyzed with statistical method, and the determinants of public goods investment in the areas are obtained by using population-weighted and stepwise regression models with Eviews6.0 software with survey data in 2008 and calculated data based on GIS of 20 typical villages in mountainous regions in Sichuan, China. The results showed: (1) natural conditions are the important determinants of public investment. Mountainous villages with steep slope have relatively high levels of investment; (2) concentration of population and the educational levels of the village leaders also have important impacts on public goods investment; (3) the government is more concerned with public investment resources particularly in areas characterized by fragile ecological environment and poor agricultural output. These results suggest that the current investment strategy helps to reduce disparities in regional development.

Keywords

Determinants Eviews6.0 GIS Public Investment Regression Analysis Rural Development 

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Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Shi-li Guo
    • 1
    • 2
    • 4
  • Shao-quan Liu
    • 1
    Email author
  • Ren-fu Luo
    • 3
  • Lin-xiu Zhang
    • 3
  1. 1.Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengduChina
  2. 2.Economic Research Center for Western ChinaSouthwestern University of Finance and EconomicsChengduChina
  3. 3.Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina
  4. 4.Graduate University of Chinese Academy of SciencesBeijingChina

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