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Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression: A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China

Author

Listed:
  • Zhixi Xu

    (Wuhan University)

  • Zhongliang Cai

    (Wuhan University
    Ministry of Education, Wuhan University)

  • Shufan Wu

    (Wuhan University)

  • Xinran Huang

    (Wuhan University)

  • Ji Liu

    (The Second Survey and Mapping Institute of Guizhou Province)

  • Junying Sun

    (The Second Survey and Mapping Institute of Guizhou Province)

  • Shiliang Su

    (Wuhan University
    Ministry of Education, Wuhan University)

  • Min Weng

    (Wuhan University
    Ministry of Education, Wuhan University)

Abstract

Poverty is a major problem that has consistently impacted human development. The spatial characteristics of poverty are nonvolatile at the regional level and represent the primary factors underlying the spatial poverty trap. Previous research on spatial poverty has frequently attempted to theoretically demonstrate the relationship between the spatial distribution of socioeconomic factors and regional poverty by drawing poverty maps, whereas less attention has focused on geographic factors. The case of Miao–Dong Autonomous Prefecture of Qiandongnan in Guizhou Province, China, is examined herein. This paper proposes a theoretical framework for the mechanisms linking the geographical environment and regional poverty and then conducts a quantitative analysis of the spatial association and degree of influence of these mechanisms. A geographically weighted regression (GWR) is employed to analyse the explanatory ability of variables in local areas. The results show that the mean slope and road network density have the most statistically significant correlations with the town-level poverty headcount ratios in Qiandongnan. Specifically, mountainous regions with steeper slopes suffer from a higher poverty headcount ratio, and towns with higher road network densities have a lower poverty headcount ratio because of the convenience of transportation. Additionally, the GWR indicates the occurrence of spatial nonstationarity, which indicates that the nature and strength of the association between each geographic indicator and the poverty headcount ratio varies across the 201 towns, with a linear growth pattern observed from north to south. Moreover, the results of a correlation analysis demonstrate that land cover with different slope classifications is more related to the regional poverty headcount ratio than land cover without a slope classification. We expect that this paper will provide useful insights for incorporating geographical factors into the formulation of poverty reduction policies.

Suggested Citation

  • Zhixi Xu & Zhongliang Cai & Shufan Wu & Xinran Huang & Ji Liu & Junying Sun & Shiliang Su & Min Weng, 2019. "Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression: A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 947-970, April.
    • Handle: RePEc:spr:soinre:v:142:y:2019:i:3:d:10.1007_s11205-018-1953-9
    DOI: 10.1007/s11205-018-1953-9
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    References listed on IDEAS

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    1. Elbers, Chris & Fujii, Tomoki & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2007. "Poverty alleviation through geographic targeting: How much does disaggregation help?," Journal of Development Economics, Elsevier, vol. 83(1), pages 198-213, May.
    2. Yanhui Wang & Yefeng Chen, 2017. "Using VPI to Measure Poverty-Stricken Villages in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 833-857, September.
    3. Yanhui Wang & Leyi Qian, 2017. "A PPI-MVM Model for Identifying Poverty-Stricken Villages: A Case Study from Qianjiang District in Chongqing, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(2), pages 497-522, January.
    4. Michael Epprecht & Daniel Müller & Nicholas Minot, 2011. "How remote are Vietnam’s ethnic minorities? An analysis of spatial patterns of poverty and inequality," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(2), pages 349-368, April.
    5. Roberto Angulo & Yadira Díaz & Renata Pardo, 2016. "The Colombian Multidimensional Poverty Index: Measuring Poverty in a Public Policy Context," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(1), pages 1-38, May.
    6. Jalan, Jyotsna & Ravallion, Martin, 1997. "Spatial poverty traps?," Policy Research Working Paper Series 1862, The World Bank.
    7. Olivia, Susan & Gibson, John & Rozelle, Scott & Huang, Jikun & Deng, Xiangzheng, 2011. "Mapping poverty in rural China: how much does the environment matter?," Environment and Development Economics, Cambridge University Press, vol. 16(2), pages 129-153, April.
    8. Dercon, Stefan, 2006. "Economic reform, growth and the poor: Evidence from rural Ethiopia," Journal of Development Economics, Elsevier, vol. 81(1), pages 1-24, October.
    9. World Bank, 2015. "World Development Indicators 2015," World Bank Publications - Books, The World Bank Group, number 21634, December.
    10. Manuela Coromaldi & Mariangela Zoli, 2012. "Deriving Multidimensional Poverty Indicators: Methodological Issues and an Empirical Analysis for Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 107(1), pages 37-54, May.
    11. Peter Lanjouw & Marleen Marra & Cuong Nguyen, 2017. "Vietnam’s Evolving Poverty Index Map: Patterns and Implications for Policy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 93-118, August.
    12. Kam, Suan-Pheng & Hossain, Mahabub & Bose, Manik Lal & Villano, Lorena S., 2005. "Spatial patterns of rural poverty and their relationship with welfare-influencing factors in Bangladesh," Food Policy, Elsevier, vol. 30(5-6), pages 551-567.
    13. World Bank, 2016. "World Development Indicators 2016," World Bank Publications - Books, The World Bank Group, number 23969, December.
    14. Barbier, Edward B., 2010. "Poverty, development, and environment," Environment and Development Economics, Cambridge University Press, vol. 15(6), pages 635-660, December.
    15. Shiliang Su & Yue Gong & Bingqing Tan & Jianhua Pi & Min Weng & Zhongliang Cai, 2017. "Area Social Deprivation and Public Health: Analyzing the Spatial Non-stationary Associations Using Geographically Weighed Regression," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 819-832, September.
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    Cited by:

    1. Zhongfa Zhou & Changli Zhu, 2022. "Relative Spatial Poverty Within Guizhou Province, A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(1), pages 151-170, May.
    2. Shuanglei Zhou & Shaojun Chen, 2023. "The Impact of the Anti-Poverty Relocation and Settlement Program on Farmers’ Livelihood: Perspective of Livelihood Space," Sustainability, MDPI, vol. 15(11), pages 1-15, May.

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