Multi Factor Assessment of Poverty in the Regions of Kazakhstan

Purpose of the study: it is not enough to assess the level of poverty of the population in the regions only with the lowest subsistence minimum, and it does not reflect the real situation. Therefore, the purpose of this article is to study the level of poverty through a multifactorial assessment based on several aspects in the regions and to make recommendations on combating poverty taking into account the characteristics of each region.

Methodology: in this study, we study and assess the level of poverty in the regions of Kazakhstan based on the methodology of multidimensional assessment. This is due to the fact that the index assessment methodology also takes into account non - financial data-increases the reliability of the assessment. We compiled a rating of regions by poverty level and divided it into 5 groups. All statistical data were taken from the data of the National Bureau of statistics of the Republic of Kazakhstan.

Originality / value of the study: the result of this study, which includes data on 6 factors (mortality, education, unemployment, GRP per capita), provides a deeper and more comprehensive explanation of the level of poverty in the regions compared to traditional methodologies based only on monetary data.

As a result of the study, the value of the multi-factor poverty index (MPI) for the regions of Kazakhstan was calculated and analyzed. The higher the index value, the lower the poverty rate in the region. The highest MPI was in Atyrau (0.611), Karaganda (0.661), Almaty (0.751) and Astana (0.759), and the lowest was Zhetysu (0.233) in North Kazakhstan (0.213) and Turkestan region (0.146). Recommendations were given in accordance with the specifics of each region.

1. Bennett F. (2021) The hidden dimensions of poverty: reflections on NGO/academic partnership. Journal of Poverty and Social Justice, 29 (3), 317–324, https://doi.org/10.1332/175982721X16305840364738

2. Mimarakis D., Alegakis A., Sofia Koukouli S. (2024) Evaluating the effect of individual characteristics and COVID‐19 pandemic on people living under extreme poverty conditions in Greece. Poverty & Public Policy, Wiley Online Library [Electronic resource]. – URL: https://onlinelibrary.wiley.com/doi/full/10.1002/pop4.395. (accessed: 16.08.2024).

3. Jolliffe D., Tetteh-Baah S.K. (2024) Identifying the poor – Accounting for household economies of scale in global poverty estimates. World Development, 179, 106593, DOI: 10.1016/j.worlddev.2024.106593

4. Machira K., Mgomezulu W.R., Malata M. (2023) Understanding poverty dimensions and transitions in Malawi: A panel data approach. Research in Globalization, 7, 100160, https://doi.org/10.1016/j.resglo.2023.100160

5. Ali M.S. (1995) Poverty Assessment: Pakistan’s Case. The Pakistan Development Review. Pakistan Institute of Development Economics, Islamabad, 34 (1), 43-54. https://doi.org/10.30541/v34i1pp.43-54

6. Hyeladi A., Alfred J., Gyang L.D. (2014) Assessment of Family Sizes and Poverty Levels in Mangu LGA, Plateau State. International Journal of Humanities and Social Science, 4 (3), 310-315, DOI: 10.30845/ijhss

7. Skoufias E. et al. (2020) Estimating poverty rates in subnational populations of interest: An assessment of the Simple Poverty Scorecard. World Development, 129, 104887, DOI: 10.1016/j.worlddev.2020.104887

8. Buhmann B. et al. (1988) Equivalence scales, well‐being, inequality, and poverty: sensitivity estimates across ten countries using the luxembourg income study (lis) database. Review of Income and Wealth, 34 (2), 115-142, https://doi.org/10.1111/j.1475-4991.1988.tb00564.x

9. Dagunga G., Ayamga M., Danso-Abbeam G. (2021) A Re-Look at Poverty through the Lens of the Sustainable Development Goals in Ghana: Drivers and Policy Implications. Journal of Poverty, 25 (6), 499519, DOI: 10.1080/10875549.2020.1869661

10. Alkire S., Foster J. (2011) Counting and multidimensional poverty measurement. Journal of Public Economics, 95 (7), 476-487, https://doi.org/10.1016/j.jpubeco.2010.11.006

11. Pradhan M., Ravallion M. (2000) Measuring Poverty Using Qualitative Perceptions of Consumption Adequacy. The Review of Economics and Statistics, 82 (3), 462–471, DOI: 10.1162/003465300558821

12. Čanigová K., Souralová A. (2024) Low-income Roma Mothers Negotiating Mothering in the Context of Poverty. Journal of Poverty. Abingdon: Routledge Journals, Taylor & Francis, 28 (2), 110-133, https://dx.doi.org/10.1080/10875549.2022.2128975.

13. Gustafsson B.A., Quheng D. (2011) Di Bao Receipt and Its Importance for Combating Poverty in Urban China. Poverty & Public Policy, 3 (1), 1-32, DOI: 10.2202/1944-2858.1127

14. Snowden L.R. (2023) US states’ racial bias correlates with less SNAP participation by “undeserving poor” adults and lower unemployment benefit maximums. Poverty & Public Policy, 15 (2), 133-149, DOI: 10.1002/pop4.371

15. Cartone A., Di Battista L., Postiglione P. (2024) A new approach for measuring poverty or social exclusion reduction in European NUTS 2 regions. Socio-Economic Planning Sciences, 93, 101902, https://doi.org/10.1016/j.seps.2024.101902

16. Visser S.S. et al. (2022) “It All Starts with Family”: Mechanisms of Intergenerational Poverty in the Veenkoloniën, the Netherlands. Journal of Poverty, 26 (6), 520-548, https://doi.org/10.1080/10875549.2021.2010872

17. Cabrera A., García-Pérez C. (2023) Poverty, extreme poverty and homelessness in Spain: an analysis for the period 2010–2019. Journal of Poverty and Social Justice, 31 (2), 191–211, DOI:10.1332/175982721X16760450929081

18. Berstembayeva R.K. et al. (2023) Poverty reduction as a factor of ensuring food security in Kazakhstan. EC, 112 (4), 66-74, https://doi.org/10.31489/2023ec4/66-74

19. Kenzhegulova G., Jussibaliyeva A., Mussabalina D. (2024) The Role of Economic Investments in Mitigating Poverty Across Urban and Rural Kazakhstan. EJEBS, 68 (1), 114–130, https://doi.org/10.47703/ejebs.v68i1.372

20. Duong H. A., Nghiem H. S. (2022) The impact of microfinance on poverty reduction in Vietnam: A dynamic panel‐data analysis. Poverty & Public Policy, 14 (4), 405-422, https://doi.org/10.1002/pop4.354

21. Agyepong L. et al. (2024) Household Consumption Expenditure Determinants Across Poverty Subgroups in Sub-Sahara Africa: Evidence from the Ghanaian Living Standard Survey. Journal of Poverty, 1 (26), https://doi.org/10.1080/10875549.2024.2338164

22. Ngwenya N., Ross E. (2024) Living in ‘waithood’: perceived impact of socio-economic conditions on quality of life of youth in Zandspruit informal settlement, South Africa. Journal of Poverty and Social Justice, 32 (1), 147-169, DOI:10.1332/17598273Y2023D000000007

23. Ahmetov D. A. (1998) Metodologiya statisticheskoj ocenki i analiz urovnya i kachestva zhizni naseleniya Kazahstana: kandidat ekonomicheskih nauk. Moskva, 171.

24. Po otraslyam [Electronic resource]. (2024) URL: https://old.stat.gov.kz/official/industry (accessed: 16.08.2024).

25. Brimbetova N.ZH. et al. (2022) Bednost' naseleniya i regional'nye razlichiya v social'nom razvitii Kazahstana. Vestnik universiteta «Turan», 0 (3), 108–121. https://doi.org/10.46914/1562-2959-2022-1-3-108-121