Analysis on the Spatial Impact Factors of Poverty and Its Planning Suggestions: A Case Study of Guizhou Counties

  • Zhengxu ZhouEmail author
  • Wenning Zhao
Part of the GeoJournal Library book series (GEJL, volume 122)


Poverty has been a world-wide focus topic. Previous studies have given lots of analysis and policy recommendations in the views of economics and sociology. Considering that the poverty tends to gather in some particular space with spatial characteristics, some researchers from the World Bank have begun to focus on the “Spatial Poverty” in recent years. Taking Guizhou province—the poorest region of China- as an example, this paper does further research in this field. Guided by the research framework of the science of human settlements, this article constructs a theoretical model showing the connection between space and poverty, which contains factors from (1) natural resources, (2) distribution of population, (3) intensity of spatial economic activities, (4) cities and towns, and (5) infrastructure. This research finds a positive influence though partial least squares regression (PLSR), using data from 75 counties in Guizhou Province. The results show that some spatial factors may serve an important role in poverty generation, including (1) the contradictions between people and land, (2) the lower level of county economic and urbanization development, and (3) weak infrastructure. Based on the analysis, the article also gives some policy recommendation on the spatial planning of rural areas.


Poverty Spatial factor Mechanism Guizhou province County 


  1. Banfield, E.C. The moral basis of a backward society[M]. New York: The Free Press, 1958.Google Scholar
  2. Guizhou Bureau of Statistic (GBS). Guizhou Statistical Yearbook 2011. Beijing: China Statistic press, 2011.Google Scholar
  3. Guizhou Bureau of Statistic (GBS). Guizhou Statistical Yearbook 2012. Beijing: China Statistic press, 2012.Google Scholar
  4. Hulland, J. Use of partial least squares (PLS) in strategic management research: a review of four recent studies[J]. Strategic management journal, 1999, (02).Google Scholar
  5. Jalan J., Ravallion M. Geographic poverty traps? A micro model of consumption growth in rural China[J]. Journal of Applied Econometrics, 2002 (04): 329-346.Google Scholar
  6. Jalan, J., Ravallion, M. Spatial Poverty Traps. World Bank Policy Research Working Paper No. 1862 [EB/OL]. 1997.
  7. Lewis, O. Five Families: Mexican Case Studies in the Culture of Poverty[M]. New York: Basic Books, 1959.Google Scholar
  8. Martens, H.; Martens, M. Modified Jack-Knife Estimation of Parameter Uncertainty in Bilinear Modeling (PLSR)[J]. Food Quality and Preference, 2000 (11): 5-16.Google Scholar
  9. Moynihan, D.; Rainwater L.; Yancey W. The Negro family: The case for national action[M]. Cambridge, MA: MIT Press, 1967.Google Scholar
  10. Wang xiaoqiang, Bai Nanfeng. Fu Rao De Pin Kun – Zhong Guo Luo Hou Di Qu De Jing Ji Kao Cha (A Study on the Economics of Poor Regions)[M]. chengdu: Sichuan People Publishing House, 1986.Google Scholar
  11. World Bank. More than a pretty picture: using poverty maps to design better policies and interventions[M]. Washington D.C.: The World Bank, 2007.Google Scholar
  12. Wu Liangyong. Introduction to Sciences of Human settlements[M]. Beijing: China Architecture & Building Press, 2001.Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of ArchitectureTsinghua UniversityBeijingChina

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