Sustainable Development Goals and Problems of Measuring Poverty and Extreme Poverty
https://doi.org/10.34023/2313-6383-2022-29-1-78-87
Abstract
The article presents the results of the study on improving the methodology for measuring poverty and extreme poverty in accordance with the fundamental UN document – the UN Sustainable Development Goals (SDGs). The author argues his position that when assessing the achievement of targets for the eradication of extreme poverty within the framework of achieving Goal 1 (SDG 1) at the national level, one should not be guided by the average threshold value of extreme poverty for all countries. It is necessary to focus on the gross national income (GNI) per capita, an indicator developed by the World Bank (according to the Atlas method).
For the first time, a comparative analysis of the interpretations of SDG 1 by Russian and European researchers, as well as experts of international organizations is carried out, and threshold values of global poverty for groups of countries with different levels of GNI per capita are analyzed. It allows us to identify the main problem of monitoring the eradication of extreme poverty in Russia: the low information content of data on socio-demographic groups experiencing extreme poverty, which, in turn, hinders the formation of effective public policy measures to reduce poverty and eradicate extreme poverty.
The paper shows that ignoring the indicator of extreme poverty, calculated depending on the size of GNI per capita using the Atlas method, can lead to erroneous conclusions in the Voluntary National Review of the Russian Federation on achieving the UN Sustainable Development Goals. The author proposes to select indicators of global extreme poverty in accordance with the level of socio-economic development of Russia and to assess the eradication of extreme poverty, taking them into account on a par with the national poverty line. In this context, the author draws attention to inaccuracies in domestic publications related to the interpretation of the concept of «extreme poverty», which can lead to distortion of estimates.
About the Author
A. А. TkachenkoRussian Federation
Alexander A. Tkachenko – D-r Sci. (Econ.), Professor, Deputy Director, Institute for Research of International Economic Relations
49/2, Leningradsky Prospekt, Moscow, 125167
References
1. The Review of International Practice Methods of Evaluating Multidimensional Poverty. Society and Economy. 2017;12:121–135. (In Russ.)
2. Kosarev A.E. Measuring and Analyzing Income and Wealth in CIS Countries and Eastern Europe. Voprosy Statistiki. 2020;27(2):96–107. (In Russ.) Available from: https://doi.org/10.34023/2313-6383-2020-27-2-96-107.
3. Govorova N.V. Poverty and Inequality in European Union. Contemporary Europe. 2016;3(69):104–113. (In Russ.) Available from: http://dx.doi.org/10.15211/soveurope32016111120.
4. Bobkov V. Russian Poverty: Measurement and Ways to Overcome. Society and Economy. 2005;(3):19–37. (In Russ.)
5. Bellù L.G., Liberati P. Equivalence Scales: Objective Methods. EASYPol Series 034. FAO; 2005. 17 р. Available from: http://www.fao.org/3/a-am358e.pdf.
6. Tkachenko A.A. Reform Era in German Statistics and E. Engel. Voprosy Statistiki. 2017;(5):75–84. (In Russ.)
7. Daley A. et al. Differences Across Countries and Time in Household Expenditure Patterns: Implications for the Estimation of Equivalence Scales. International Review of Applied Economics. 2020;34(6): 734–757. Available from: http://doi.org/10.1080/02692171.2020.1781798.
8. Roik V. A New Consumer Basket Is Approved: How Much Will the Life of Russians Improve? Man and Labor. 2006;(5):19–23. (In Russ.)
9. Bobkov V.N., Gulyugina A.A., Odintsova Ye.V. Minimum Consumer Basket: What Should It Be in Today’s Russia? Russian Economic Journal. 2020;(1):54-73. (In Russ.) Available from: http://doi.org/10.33983/01309757-2020-1-54-73.-73.
10. Tkachenko A.A. Economic Development of Central Asian Countries and UN Sustainable Development Goals. University Bulletin (Russian-Tajik (Slavonic) University). 2020;1(69):17–30. (In Russ.)
11. Tkachenko A.A. Poverty and Population of Russia: A Retrospective Viewpoint of The Problem. Narodonaselenie [Population]. 2019;22(4):36–50. (In Russ.) Available from: http://doi.org/10.24411/1561-7785-2019-00037.
12. Darvas Z. Why is it So Hard to Reach the EU’s Poverty Target? Social Indicators Research. 2020;141(3):1081–1105. Available from: https://doi.org/10.1007/s11205-018-1872-9.
13. Bárcena-Martín E., Pérez-Moreno S., & Rodríguez-Díaz B. Rethinking Multidimensional Poverty Through a Multi-Criteria Analysis. Economic Modelling. 2020;91:313–325. Available from: https://doi.org/10.1016/j.econmod.2020.06.007.
14. Korchagina I.I., Prokofieva L.M., Ter-Akopov S.A. European Experience in Measuring Poverty and Social Exclusion: AROPE Index. Narodonaselenie [Population]. 2019;22(3):162–175. (In Russ.) Available from: https://doi.org/10.24411/1561-7785-2019-00034.
15. Smolentceva E.V. Poverty as a World Problem: Assessment of the Current State. Moscow Journal. 2019;(6):87–102. (In Russ.) Available from: https://doi.org/10.24411/2413046X-2019-16010.
16. Kartseva M.A. Poverty in the Russian Federation: Possibilities and Specifics of the Use of the AROPE Multi-Criteria Index in the Poverty Monitoring System of the Russian Federation. Population and Economics. 2020;4(1):1–19. (In Russ.) Available from: https://doi.org/10.3897/popecon.4.e50836.
17. García-Pardoa F., Bárcena-Martína E., Pérez-Moreno S. Measuring the ‘Leaving No one Behind’ Principle in the European Countries: An AROPE-Based Fuzzy Logic Approach. Fuzzy Sets and Systems. 2021;409:170–185. Available from: https://doi.org/10.1016/j.fss.2020.07.017.
18. Atkinson A.B., Rainwater L., Smeeding T.M. Income Distribution in OECD Countries: Evidence from the Luxembourg Income Study. Paris: OECD; 1995. 162 р.
19. Sokolin V.L., Bryseva V.M. Statistical Measurement of Poverty and Inequality in the CIS Countries. Voprosy Statistiki. 2019;26(9):5–19. (In Russ.) Available from: https://doi.org/10.34023/2313-6383-2019-26-9-5-19.
20. Eliseeva I., Raskina Y. Measuring Poverty in Russia: Possibilities and Limitations. Voprosy Statistiki. 2017;8:70– (In Russ.)
21. Report of the Secretary-General on SDG Progress 2019. Special Edition. New York: United Nations; 2019. 64 р.
22. Benedek D. et al. A Post-Pandemic Assessment of the Sustainable Development Goals. IMF Staff Discussion Notes No. 2021/003. IMF; 2021. 35 р.
23. World Bank Group. Poverty and Shared Prosperity 2020: Reversals of Fortune. Washington, DC: World Bank; 2020. 201 p. Available from: https://doi.org/10.1596/9781-4648-1602-4.
24. Ferreira F.H.G. et al. A Global Count of the Extreme Poor in 2012: Data Issues, Methodology and Initial Results. The Journal of Economic Inequality. 2016;14(2):141–172. Available from: https://doi.org/10.1007/s10888-016-9326-6.
25. UNECE. Guide on Poverty Measurement. New York, Geneva: United Nations; 2017. 218 р.
Review
For citations:
Tkachenko A.А. Sustainable Development Goals and Problems of Measuring Poverty and Extreme Poverty. Voprosy statistiki. 2022;29(1):78-87. (In Russ.) https://doi.org/10.34023/2313-6383-2022-29-1-78-87