IDEAS home Printed from https://ideas.repec.org/a/bla/devpol/v42y2024i1ne12733.html
   My bibliography  Save this article

Determinants of poverty among Indigenous people in Mexico's Guerrero Mountain Region

Author

Listed:
  • Jorge Mora‐Rivera
  • Isael Fierros‐González
  • Fernando García‐Mora

Abstract

Motivation The eradication of poverty is one of Mexico's greatest challenges. This challenge is even greater for Indigenous communities, where seven out of 10 people were living in poverty in 2018. Despite the economic, social, and cultural impacts on Indigenous people, there has been scant literature addressing the determinants of Indigenous poverty in Mexico, while studies on the Guerrero Mountain Region (GMR) are scarcer still. Purpose This study aims to identify the socioeconomic and contextual determinants of income and multidimensional poverty in the GMR, one of the poorest regions in Mexico and Latin America, inhabited primarily by Indigenous people. Methods and approach We use data on 989 individuals in the GMR, collected during the 2018 Socioeconomic Conditions Module of Mexico's National Household Income and Expenditure Survey. To examine the main determinants of individual poverty, we use Bayesian logistic regression (BLR), which allows us to use the data to update information about the parameters and evaluate their distributional properties. The method simplifies multi‐causal elements by classifying them into categories of well‐being that incorporate more than economic factors. Findings The income‐poor population is also multidimensionally poor. Education helps to reduce poverty as households that spend more on schooling are less likely to be poor. Households with many members, those with high dependency ratios, and those with members living with disability all tend to be poor. Households with access to landlines and the internet are less likely to be poor. Policy implications More diagnosis of poverty is needed. This should consider overlapping vulnerabilities (institutional, socioeconomic, environmental, and sociocultural) in this region for each Indigenous group. Public policies need to be monitored for performance.

Suggested Citation

  • Jorge Mora‐Rivera & Isael Fierros‐González & Fernando García‐Mora, 2024. "Determinants of poverty among Indigenous people in Mexico's Guerrero Mountain Region," Development Policy Review, Overseas Development Institute, vol. 42(1), January.
  • Handle: RePEc:bla:devpol:v:42:y:2024:i:1:n:e12733
    DOI: 10.1111/dpr.12733
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/dpr.12733
    Download Restriction: no

    File URL: https://libkey.io/10.1111/dpr.12733?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Filippo Temporin, 2019. "A multilevel structural equation modelling approach to study segregation of deprivation: an application to Bolivia," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1657-1674, May.
    2. Zenghui Huo & Mei Zhang, 2023. "Multidimensional Deprivation and Subgroup Heterogeneity of Rural Households in China: Empirical Evidence from Latent Variable Estimation Methods," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(3), pages 975-997, February.
    3. Luke Oyesola Olarinde & Adebayo Busura Abass & Tahirou Abdoulaye & Adebusola Adenike Adepoju & Emmanuel Gbenga Fanifosi & Matthew Olufemi Adio & Obadiah Adekunle Adeniyi & Awoyale Wasiu, 2020. "Estimating Multidimensional Poverty among Cassava Producers in Nigeria: Patterns and Socioeconomic Determinants," Sustainability, MDPI, vol. 12(13), pages 1-17, July.
    4. Medeiros, Victor & Ribeiro, Rafael Saulo Marques & Amaral, Pedro Vasconcelos Maia do, 2021. "Infrastructure and household poverty in Brazil: A regional approach using multilevel models," World Development, Elsevier, vol. 137(C).
    5. Nicola Pontarollo & Mercy Orellana & Joselin Segovia, 2020. "The Determinants of Subjective Well-Being in a Developing Country: The Ecuadorian Case," Journal of Happiness Studies, Springer, vol. 21(8), pages 3007-3035, December.
    6. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    7. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    8. Sabina Alkire & James Foster, 2011. "Understandings and misunderstandings of multidimensional poverty measurement," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 289-314, June.
    9. Alkire, Sabina & Oldiges, Christian & Kanagaratnam, Usha, 2021. "Examining multidimensional poverty reduction in India 2005/6–2015/16: Insights and oversights of the headcount ratio," World Development, Elsevier, vol. 142(C).
    10. , 2019. "Rethinking the regions: Indigenous peoples and regional development," Regional Studies, Taylor & Francis Journals, vol. 53(11), pages 1509-1519, November.
    11. Mekonnen Bersisa & Almas Heshmati, 2021. "A Distributional Analysis of Uni-and Multidimensional Poverty and Inequalities in Ethiopia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 805-835, June.
    12. Sanjay K Mohanty, 2011. "Multidimensional Poverty and Child Survival in India," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-14, October.
    13. Ana P. Canedo, 2018. "Analyzing Multidimensional Poverty Estimates in Mexico From an Ethnic Perspective: A Policy Tool for Bridging the Indigenous Gap," Poverty & Public Policy, John Wiley & Sons, vol. 10(4), pages 543-563, December.
    14. Attila N Lázár & Helen Adams & W Neil Adger & Robert J Nicholls, 2020. "Modelling household well-being and poverty trajectories: An application to coastal Bangladesh," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-23, September.
    15. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Roberto Angulo, 2016. "From Multidimensional Poverty Measurement to Multisector Public Policy for Poverty Reduction: Lessons from the Colombian Case," OPHI Working Papers ophiwp102_1.pdf, Queen Elizabeth House, University of Oxford.
    2. Burhan Can Karahasan & Fırat Bilgel, 2021. "The Topography and Sources of Multidimensional Poverty in Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 413-445, April.
    3. Wulung Hanandita & Gindo Tampubolon, 2016. "Multidimensional Poverty in Indonesia: Trend Over the Last Decade (2003–2013)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 559-587, September.
    4. Espinoza-Delgado, José & Klasen, Stephan, 2018. "Gender and multidimensional poverty in Nicaragua: An individual based approach," World Development, Elsevier, vol. 110(C), pages 466-491.
    5. Srinivas Goli & Nagendra Kumar Maurya & Moradhvaj & Prem Bhandari, 2019. "Regional Differentials in Multidimensional Poverty in Nepal: Rethinking Dimensions and Method of Computation," SAGE Open, , vol. 9(1), pages 21582440198, March.
    6. Danilo Cavapozzi & Wei Han & Raffaele Miniaci, 2015. "Alternative weighting structures for multidimensional poverty assessment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(3), pages 425-447, September.
    7. Jiantuo Yu, 2013. "Multidimensional Poverty in China: Findings Based on the CHNS," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 315-336, June.
    8. Shabana Mitra, 2018. "Re-Assessing “trickle-down” Using a Multidimensional Criteria: The Case of India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 497-515, April.
    9. Christoph Bader & Sabin Bieri & Urs Wiesmann & Andreas Heinimann, 2016. "A Different Perspective on Poverty in Lao PDR: Multidimensional Poverty in Lao PDR for the Years 2002/2003 and 2007/2008," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(2), pages 483-502, March.
    10. Malokele Nanivazo, 2015. "First Order Dominance Analysis: Child Wellbeing in the Democratic Republic of Congo," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(1), pages 235-255, May.
    11. Khaufelo Raymond Lekobane, 2022. "Leaving No One Behind: An Individual-Level Approach to Measuring Multidimensional Poverty in Botswana," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 179-208, July.
    12. 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.
    13. José Roche, 2013. "Monitoring Progress in Child Poverty Reduction: Methodological Insights and Illustration to the Case Study of Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 363-390, June.
    14. repec:dgr:rugsom:13018-eef is not listed on IDEAS
    15. Robano, Virginia & Smith, Stephen C., 2013. "Multidimensional Targeting and Evaluation: A General Framework with an Application to a Poverty Program in Bangladesh," IZA Discussion Papers 7593, Institute of Labor Economics (IZA).
    16. Ottó Hajdu, 2021. "A New Generalized Variance Approach for Measuring Multidimensional Inequality and Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(3), pages 839-861, December.
    17. Oluwaseun A. Oyebamiji & Mohsin Khan, 2023. "Multidimensional poverty in South‐West Nigeria: Empirical insights from a household survey in Osun State," Poverty & Public Policy, John Wiley & Sons, vol. 15(2), pages 227-250, June.
    18. Tomson Ogwang, 2022. "The Foster–Greer–Thorbecke Poverty Measures Reveal More," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1481-1503, December.
    19. Mathieu Lefebvre & Pierre Pestieau & Gregory Ponthiere, 2023. "Counting the missing poor in pre-industrial societies," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 17(1), pages 155-183, January.
    20. Nguyen, Cuong, 2003. "A Review of the Relation between Economic Growth, Inequality and Poverty," MPRA Paper 85705, University Library of Munich, Germany.
    21. Chakravarty, Satya R. & Deutsch, Joseph & Silber, Jacques, 2008. "On the Watts Multidimensional Poverty Index and its Decomposition," World Development, Elsevier, vol. 36(6), pages 1067-1077, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:devpol:v:42:y:2024:i:1:n:e12733. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/odioruk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.