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Determinants of Rural Poverty in Remote Mountains of Southeast China from the Household Perspective

Author

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  • Chengchao Wang

    (Zhejiang University of Finance and Economics
    Fujian Normal University)

  • Yuan Wang

    (Fujian Normal University
    Fujian Normal University
    Ministry of Natural Resources)

  • Haiyan Fang

    (Chinese Academy of Sciences)

  • Bidan Gao

    (Fujian Normal University)

  • Zudeng Weng

    (Fujian Normal University)

  • Ying Tian

    (Fujian Normal University)

Abstract

Strategies aimed towards poverty alleviation need to identify factors that are strongly associated with poverty. The objective of the study was to analyse the determinants of rural absolute and relative poverty in Shouning County, Fujian Province, Southeast China. Two binary logistic regressions were estimated based on household survey data in which the dependent variables were whether the residents were living in poverty, and the explanatory variables included a set of socioeconomic and demographic variables. The results showed that the age of the household head, dependency ratio, number of chronic patients, pressure of educational expenses, and culture of poverty were significantly and positively associated with the likelihood of being in absolute poverty. However, a greater household size and better accessibility to information decreased the probability of being in this state. The strongest four predictors of absolute poverty in descending order were information accessibility, number of chronic patients, pressure of educational expenses, and culture of poverty. In terms of relative poverty, our results demonstrated that elevation, cropland per capita, age of household head, number of chronic patients, pressure of educational expenses, and distance to the county seat had significant positive relationships with the probability of being trapped in relative poverty, whereas information accessibility was negatively associated with being in relative poverty. The strongest four predictors of relative poverty in descending order were information accessibility, pressure of educational expenses, cropland per capita, and number of chronic patients. Generally, the results confirmed three important determinants of rural poverty hypothesised in previous studies: chronic illness-induced poverty, educational expenses-induced poverty, and culture of poverty. We expect that the results of this study will provide useful insight for future research of rural poverty.

Suggested Citation

  • Chengchao Wang & Yuan Wang & Haiyan Fang & Bidan Gao & Zudeng Weng & Ying Tian, 2020. "Determinants of Rural Poverty in Remote Mountains of Southeast China from the Household Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 793-810, August.
    • Handle: RePEc:spr:soinre:v:150:y:2020:i:3:d:10.1007_s11205-020-02348-1
    DOI: 10.1007/s11205-020-02348-1
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    1. Kuangnan Fang & Yefei Jiang & BenChang Shia & Shuangge Ma, 2012. "Impact of Illness and Medical Expenditure on Household Consumptions: A Survey in Western China," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
    2. Everett Lee, 1966. "A theory of migration," Demography, Springer;Population Association of America (PAA), vol. 3(1), pages 47-57, March.
    3. Carina Mood & Jan O. Jonsson, 2016. "Erratum to: The Social Consequences of Poverty: An Empirical Test on Longitudinal Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 499-499, September.
    4. George A. Akerlof & Rachel E. Kranton, 2002. "Identity and Schooling: Some Lessons for the Economics of Education," Journal of Economic Literature, American Economic Association, vol. 40(4), pages 1167-1201, December.
    5. Sabina Alkire & Maria Santos, 2013. "A Multidimensional Approach: Poverty Measurement & Beyond," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 239-257, June.
    6. 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.
    7. Quy-Toan Do & Lakshmi Iyer, 2010. "Geography, poverty and conflict in Nepal," Journal of Peace Research, Peace Research Institute Oslo, vol. 47(6), pages 735-748, November.
    8. Andriopoulou, Eirini & Tsakloglou, Panagiotis, 2011. "The determinants of poverty transitions in Europe and the role of duration dependence," MPRA Paper 30659, University Library of Munich, Germany.
    9. Foster, Andrew D, 1994. "Poverty and Illness in Low-Income Rural Areas," American Economic Review, American Economic Association, vol. 84(2), pages 216-220, May.
    10. Amara Amjad Hashmi & Maqbool H. Sial & Maaida Hussain Hashmi, 2008. "Trends and Determinants of Rural Poverty: A Logistic Regression Analysis of Selected Districts of Punjab," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 909-923.
    11. John B. Parr, 2001. "On the Regional Dimensions of Rostow's Theory of Growth," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 13(1), pages 2-19, March.
    12. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    13. Martin Ravallion, 2011. "A Comparative Perspective on Poverty Reduction in Brazil, China, and India," The World Bank Research Observer, World Bank, vol. 26(1), pages 71-104, February.
    14. Indunil De Silva, 2008. "Micro‐level determinants of poverty reduction in Sri Lanka: a multivariate approach," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 35(3), pages 140-158, February.
    15. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    16. McIntyre, Diane & Thiede, Michael & Dahlgren, Göran & Whitehead, Margaret, 2006. "What are the economic consequences for households of illness and of paying for health care in low- and middle-income country contexts?," Social Science & Medicine, Elsevier, vol. 62(4), pages 858-865, February.
    17. William Easterly, 2006. "Reliving the 1950s: the big push, poverty traps, and takeoffs in economic development," Journal of Economic Growth, Springer, vol. 11(4), pages 289-318, December.
    18. Bigman, David & Fofack, Hippolyte, 2000. "Geographical Targeting for Poverty Alleviation: An Introduction to the Special Issue," The World Bank Economic Review, World Bank, vol. 14(1), pages 129-145, January.
    19. Shahnawaz Malik, 1996. "Determinants of Rural Poverty in Pakistan: A Micro Study," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 35(2), pages 171-187.
    20. Ke-Mei Chen & Chao-Hsien Leu & Te-Mu Wang, 2019. "Measurement and Determinants of Multidimensional Poverty: Evidence from Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 459-478, September.
    21. Rupasingha, Anil & Goetz, Stephan J., 2007. "Social and political forces as determinants of poverty: A spatial analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(4), pages 650-671, August.
    22. Carina Mood & Jan O. Jonsson, 2016. "The Social Consequences of Poverty: An Empirical Test on Longitudinal Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 633-652, June.
    23. Zhang, Huafeng, 2014. "The poverty trap of education: Education–poverty connections in Western China," International Journal of Educational Development, Elsevier, vol. 38(C), pages 47-58.
    24. Martin Ravallion & Gaurav Datt & Dominique van de Walle, 1991. "Quantifying Absolute Poverty In The Developing World," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 37(4), pages 345-361, December.
    25. Mark D. Partridge & Dan S. Rickman, 2008. "Distance From Urban Agglomeration Economies And Rural Poverty," Journal of Regional Science, Wiley Blackwell, vol. 48(2), pages 285-310, May.
    26. Uche M. Ozughalu & Fidelis O. Ogwumike, 2019. "Extreme Energy Poverty Incidence and Determinants in Nigeria: A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 997-1014, April.
    27. repec:bla:revinw:v:37:y:1991:i:4:p:345-61 is not listed on IDEAS
    28. Jonathan Haughton & Shahidur R. Khandker, 2009. "Handbook on Poverty and Inequality," World Bank Publications - Books, The World Bank Group, number 11985.
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    2. Qun Wang & Lu Shu & Xiaojun Lu, 2023. "Dynamics of multidimensional poverty and its determinants among the middle-aged and older adults in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.

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