Assessment of the socio-economic performance of vulnerable and depressed territories in Kazakhstan
Abstract
Relevance. In Kazakhstan, regional disparities present a major challenge to national development. The COVID-19 pandemic and the recent political turmoil exacerbated this situation because smaller towns and settlements in less accessible regions lack the resources to cope with the consequences of the crisis on their own.
Research objective. The study aims to propose a methodological approach to assessing the socio-economic performance of vulnerable and depressed territories.
Data and methods. The methodological approach is developed taking into account the specifics and peculiarities of territorial development, as well as the availability of statistical information in small towns and settlements. The depressiveness and vulnerability ranking were compiled for monotowns and small towns in Kazakhstan. The study relies on the statistical data provided by the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan.
Results. The proposed methodology was applied to analyze the aggregate indicators characterizing the socio-economic performance of towns and settlements in East Kazakhstan, North Kazakhstan, and Zhambyl regions between 2009 and 2019. The towns of Ridder, Semey, Mamlyutka, Sergeevka, Karatau, and Janatas were classified as severely depressed areas. The same towns and the town of Bulaev demonstrated the highest levels of vulnerability.
Conclusions. The research findings may be of interest to government agencies of all levels. The methodology can be used for assessing the socio-economic performance of lagging areas for more informed decision- and policy-making.
Keywords
Full Text:
PDFReferences
Anderson, K.H., & Pomfret, R. (2002). Relative living standards in new market economies: Evidence from Central Asian household surveys. Journal of Comparative Economics, 30(4), 683–708. doi: 10.1006/jcec.2002.1803
Amrin, A., & Nurlanova, N.K. (2020). Innovation Activity: Localization, New Trends and Assessment Methods. Engineering Economics, 31(2), 134–144. doi: 10.5755/j01.ee.31.2.21501
Baramzin, S.V. (2010). Methodology for assessing the socio-economic development of rural settlements. Regional’naya ekonomika: teoriya i praktika =Regional Economy: Theory and Practice, 9, 43–46. (in Russ.)
Diener, E. (1995). A value based index for measuring national quality of life. Social Indicators Research, 36, 107–127. doi: 10.1007/BF01079721
Fang, H., Gan, S., & Xue, C. (2019). Evaluation of regional water resources carrying capacity based on binary index method and reduction index method. Water Science and Engineering, 12, 263–273. doi: 10.1016/j.wse.2019.12.008
Fei, L.K., & Chenghu, Z. (2009). Spatial Autocorrelation Analysis on Regional Economic Disparity of Northeast Economic Region in China. Chinese Journal of Population Resources and Environment, 7, 27–31. doi: 10.1080/10042857.2009.10684920
Drigo, M.F. (2008). Analysis of the investment potential of a depressed region (on the example of the Bryansk region). Economic Science of modern Russia, 4(43), 126–134.
Esanov, A. (2006). The growth-poverty nexus: Evidence from Kazakhstan (No. 51). Asian Development Bank Institute (ADBI), Tokyo Discussion Paper. Retrieved from: http://hdl.handle.net/10419/53532
Filiztekin, A. (2009). Regional Unemployment in Turkey. Regional Science, 88(4), 863–878. doi: 10.1111/J.1435-5957.2009.00237.X
Ferré, C., Ferreira, F.H., & Lanjouw, P. (2012). Is There a Metropolitan Bias? The relationship between poverty and city size in a selection of developing countries. The World Bank Economic Review, 26(3), 351–382. doi: 10.1093/wber/lhs007
Girina, A.N. (2013). Methodology for assessing the socio-economic development of the region. Vestnik BGTU = Bulletin of OSU, 8(157), 82–87. (in Russ.)
Glaeser, E.L., & Maré, D. (2001). Cities and Skills. Journal of Labor Economics, 19, 316–342. doi: 10.1086/319563
Iskandar, I. (2017). Effect Of Human Development Index Fund on Economic Growth Through A Special Autonomy. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 18, 40–49. doi: 10.23917/jep.v18i1.2920
Kangalakova, D.M., & Rakhmetova, D.A. (2021). Structural Features of the Intellectual Potential of the Regions and its Impact on the Development of the Country. Ekonomika: strategiya i praktika = Economics: the strategy and practice, 16(3), 22–34. (In Russ.) doi: 10.51176/1997-9967-2021-22-34
Kireyeva, A.A., & Satybaldin, A.A. (2019). Analysis of gender pay gap in different sectors of the economy in Kazakhstan. Journal of Asian Finance, Economics and Business, 6(2), 231–238. doi: 10.13106/jafeb.2019.vol6.no2.231
Kireyeva, A.A., Turdalina, S., Mussabalina, D., Turlybekova, N.M., & Akhmetova, Z.B. (2020). Analysis of the efficiency technology transfer offices in management: The case of Spain and Kazakhstan. Journal of Asian Finance, Economics and Business, 7(8), 735–746. doi: 10.13106/jafeb.2020.vol7.no8.735
Kiryluk-Dryjska, E., Beba, P., & Poczta, W. (2020). Local determinants of the Common Agricultural Policy rural development funds’ distribution in Poland and their spatial implications. Journal of Rural Studies, 74, 201–209. doi: 10.1016/j.jrurstud.2020.01.018
Krugman, P.R. 1991. Geography and Trade. Cambridge: MIT Press.
Kolomak, E. (2020). Economic effects of pandemic-related restrictions in Russia and their spatial heterogeneity. Requirements Engineering, 1, 154–161. doi: 10.15826/recon.2020.6.3.013
Kuznetsova, O.V. (2014). Typology of factors of socio-economic development of Russian regions. Moscow University Bulletin. Series 5: Geography, 2, 3–8.
Liu, Y., Liu, J., & Zhou, Y. (2017). Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies. Journal of Rural Studies, 52, 66–75. doi: 10.1016/J.JRURSTUD.2017.04.002
Mansurova, G.I. (2015). Depressive regions: basic concepts and reasons for the transition to a depressive state. Byulleten’ Ul’yanovskogo Tekhnicheskogo Universiteta = Bulletin of the Ulyanovsk State Technical University, 1, 65–68. (In Russ.)
Michalek, J., & Zarnekow, N. (2012). Application of the Rural Development Index to Analysis of Rural Regions in Poland and Slovakia. Social Indicators Research, 105, 1–37. doi: 10.1007/S11205- 010-9765-6
Moretti, E. (2013). Real Wage Inequality. American Economic Journal: Applied Economics, 5, 65–103. doi: 10.1257/APP.5.1.65
Polyakova, A.G., & Simarova, I.S. (2014). The conceptual model of a region development administration considering the level of spatial relatedness. Economy of Region, 1, 32–42. doi: 10.17059/2014-2-3
Samarina, V.P. (2008). Features of assessment of the uneven socioeconomic development of the regions. Problems of modern economy, 1 (25), 300–304.
Shiode, N., Morita, M., Shiode, S., & Okunuki, K. (2014). Urban and rural geographies of aging: a local spatial correlation analysis of aging population measures. Urban Geography, 35, 608–628. doi: 10.1080/02723638.2014.905256
Tian, Y., & Sun, C. (2018). Comprehensive carrying capacity, economic growth and the sustainable development of urban areas: A case study of the Yangtze River Economic Belt. Journal of Cleaner Production, 195, 486–496. doi: 10.1016/J.JCLEPRO.2018.05.262
Tianming, G., Ivolga, A., & Erokhin, V. (2018). Sustainable Rural Development in Northern China: Caught in a Vice between Poverty, Urban Attractions, and Migration. Sustainability, 10, 1467. doi: 10.3390/SU10051467
Turgel, I.D., Bozhko, L.L., & Pandzhiyeva, V.T. (2020). Cluster policies of large cities in Russia and Kazakhstan. R-Economy, 6(1), 28–39. doi: 10.15826/recon.2020.6.1.003
Zubarevich, N.V., & Safronov, S.G. (2020). Russian Regions in the Acute Phase of the Coronavirus Crisis: Differences from Previous Economic Crises of the 2000s. Regional Research of Russia, 10(4), 443–453 (In Russ.)
DOI: https://doi.org/10.15826/recon.2022.8.1.002
Copyright (c) 2022 Anel A. Kireyeva, Nailya K. Nurlanova, Anna A. Kredina
Сertificate of registration media Эл № ФС77-80764 от 23.04.2021
Online ISSN 2412-0731