Evaluating eco- and human capital efficiency in Russian regions: insights from subjective well-being indicators in the context of geo-economic fragmentation
Abstract
Relevance. Fostering well-being ranks high on regional social policy agendas. With the dynamic shifts in the international economic landscape, known as geo-economic fragmentation, there's a pressing urgency for stakeholders to optimize resource allocation at the regional level, increasing interest in efficient strategies to adapt to sanctions while enhancing overall well-being.
Research objective. This article aims to investigate the dimensions and determinants of the eco- and human capital efficiency in Russian regions in the context of geo-economic fragmentation and sanctions pressure.
Data and methods. A proposed three-stage approach integrates factor analysis to identify subjective well-being indicators, data envelopment analysis (DEA) to evaluate socio-eco-efficiency, and panel tobit regression to examine the determinants of efficiency. Microdata from the Rossat Comprehensive Observation of Living Conditions database were utilized, covering the period from 2014 to 2022. To assess efficiency, a DEA model is employed. The output indicators from this model were the estimated measures of subjective well-being. These indicators were validated through factor analysis and included professional satisfaction, safety assessment, accessibility and quality of social and cultural infrastructure in the regions.
Results. In the given period, people reported feeling increasingly satisfied with jobs and quality of life, though there was a noticeable slowdown in the growth of human capital development indicators, environmental investments, and real income by early 2023. Efficiency varied significantly among the regions. Industrially developed mining areas and republics in the North Caucasus consistently showed high socio-eco-efficiency, despite limited resources. The efficiency benefited both from digitalization and increased per capita gross regional product, but urbanization had a negative impact.
Conclusions. Amid geo-economic fragmentation, regional communities and job markets face significant challenges in adaptation. With the looming risk of declining satisfaction and perceived quality of life, it is imperative for regional policies to bolster tangible well-being indicators and invest in social capital and infrastructure to address these issues effectively.
Keywords
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Aiyar, S. et al. (2023). Geo-Economic Fragmentation and the Future of Multilateralism. IMF Working Papers, SDN/2023/0(1), 38. https://doi.org/10.5089/9798400229046.006
Almakaeva, A. M., & Gashenina, N. V. (2020). Subjective Well-Being: Conceptualization, Assessment and Russian Specifics. Monitoring of Public Opinion : Economic and Social Changes, 155(1), 4–13. https://doi.org/10.14515/monitoring.2020.1.01
Austin, A. (2016). On Well-Being and Public Policy: Are We Capable of Questioning the Hegemony of Happiness? Social Indicators Research, 127(1), 123–138. https://doi.org/10.1007/s11205-015-0955-0
Bérenger, V., & Verdier-Chouchane, A. (2007). Multidimensional Measures of Well-Being: Standard of Living and Quality of Life Across Countries. World Development, 35(7), 1259–1276. https://doi.org/10.1016/j.worlddev.2006.10.011
Campos, R. G., Estefania-Flores, J., Furceri, D., & Timini, J. (2023). Geopolitical fragmentation and trade. Journal of Comparative Economics, 51(4), 1289–1315. https://doi.org/10.1016/j.jce.2023.06.008
Castellano, R., De Bernardo, G., & Punzo, G. (2023). Well-being in OECD countries: an assessment of technical and social efficiency using data envelopment analysis. International Review of Economics, 70(2), 141–176. https://doi.org/10.1007/s12232-023-00413-y
Cepni, O., Demirer, R., Pham, L., & Rognone, L. (2023). Climate uncertainty and information transmissions across the conventional and ESG assets. Journal of International Financial Markets, Institutions and Money, 83(December 2022), 101730. https://doi.org/10.1016/j.intfin.2022.101730
Diener, E., Oishi, S., & Tay, L. (2018). Advances in subjective well-being research. Nature Human Behaviour, 2(4), 253–260. https://doi.org/10.1038/s41562-018-0307-6
Diener, E., & Ryan, K. (2009). Subjective Well-Being: A General Overview. South African Journal of Psychology, 39(4), 391–406. https://doi.org/10.1177/008124630903900402
Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective well-being: Three decades of progress. Psychological Bulletin, 125(2), 276–302. https://doi.org/10.1037/0033-2909.125.2.276
Easterlin, R. A. (2001). Income and Happiness: Towards a Unified Theory. The Economic Journal, 111(473), 465–484. https://doi.org/10.1111/1468-0297.00646
Easterlin, R. A., McVey, L. A., Switek, M., Sawangfa, O., & Zweig, J. S. (2010). The happiness - Income paradox revisited. Proceedings of the National Academy of Sciences of the United States of America, 107(52), 22463–22468. https://doi.org/10.1073/pnas.1015962107
Elmassah, S., & Hassanein, E. A. (2022). Digitalization and subjective wellbeing in Europe. Digital Policy, Regulation and Governance, 24(1), 52–73. https://doi.org/10.1108/DPRG-05-2021-0060
Emrouznejad, A., & Yang, G. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences, 61, 4–8. https://doi.org/10.1016/j.seps.2017.01.008
Engelbrecht, H. J. (2009). Natural capital, subjective well-being, and the new welfare economics of sustainability: Some evidence from cross-country regressions. Ecological Economics, 69(2), 380–388. https://doi.org/10.1016/j.ecolecon.2009.08.011
Farooq, Y., & Wicaksono, H. (2021). Advancing on the analysis of causes and consequences of green skepticism. Journal of Cleaner Production, 320(February), 128927. https://doi.org/10.1016/j.jclepro.2021.128927
Fumagalli, R. (2021). Theories of well-being and well-being policy: a view from methodology. Journal of Economic Methodology, 28(1), 124–133. https://doi.org/10.1080/1350178X.2020.1868780
Gimpelson, V. E. (2022). Russian human capital in times of sanctions and counter-sanctions: Some redistributive implications. Journal of the New Economic Association, 55(3), 234–238. https://doi.org/10.31737/2221-2264-2022-55-3-16
He, W., Fu, J., & Luo, Y. (2023). A Study of Well-Being-Based Eco-efficiency Based on Super-SBM and Tobit Regression Model: The Case of China. Social Indicators Research, 167(1–3), 289–317. https://doi.org/10.1007/s11205-023-03107-8
Heutel, G. (2024). Behavioral economics and the evidential defense of welfare economics. Politics, Philosophy & Economics, 1(1), 1–40. https://doi.org/10.1177/1470594X241239987
Honore, B. E. (1992). Trimmed Lad and Least Squares Estimation of Truncated and Censored Regression Models with Fixed Effects. Econometrica, 60(3), 533. https://doi.org/10.2307/2951583
Inanc, H. (2016). Unemployment, temporary work and subjective well-being: Gendered effect of spousal labour market insecurity in the United Kingdom - University of Cape Town (No. 70; OECD Statistics Working Papers).
Johnston, D. W., & Stavrunova, O. (2021). Subjective Wellbeing Dynamics. Australian Economic Review, 54(4), 518–529. https://doi.org/10.1111/1467-8462.12442
Kamalov, E. A., & Ponarin, E. D. (2020). National pride and subjective well-being of Russians. Monitoring of Public Opinion : Economic and Social Changes, 155(1), 177–205. https://doi.org/10.14515/monitoring.2020.1.08
Kapeliushnikov, R. I. (2023). The Russian labor market: A statistical portrait on the crises background. Voprosy Ekonomiki, 8, 5–37. https://doi.org/10.32609/0042-8736-2023-8-5-37
King, L. C., Savin, I., & Drews, S. (2023). Shades of green growth scepticism among climate policy researchers. Nature Sustainability. https://doi.org/10.1038/s41893-023-01198-2
Krueger, A. B., & Schkade, D. A. (2008). The reliability of subjective well-being measures. Journal of Public Economics, 92(8–9), 1833–1845. https://doi.org/10.1016/j.jpubeco.2007.12.015
Llena-Nozal, A., Martin, N., & Murtin, F. (2019). The economy of well-being: Creating opportunities for people’s well-being and economic growth (No. 102; OECD Statistics Working Papers). https://doi.org/10.1787/498e9bc7-en
Mahmood, N., Wang, Z., & Hassan, S. T. (2019). Renewable energy, economic growth, human capital, and CO2 emission: an empirical analysis. Environmental Science and Pollution Research, 26(20), 20619–20630. https://doi.org/10.1007/s11356-019-05387-5
Matsumoto, K., & Chen, Y. (2021). Industrial eco-efficiency and its determinants in China: A two-stage approach. Ecological Indicators, 130, 108072. https://doi.org/10.1016/j.ecolind.2021.108072
Mihaylova-Borisova, G., & Nenkova, P. (2021). DEA efficiency approach in comparing macroeconomic performance of EU and Balkan Countries. Ikonomicheski Izsledvania, 30(6), 42–62.
Moeeni, S. (2022). The Intergenerational Effects of Economic Sanctions. The World Bank Economic Review, 36(2), 269–304. https://doi.org/10.1093/wber/lhab024
Muhammad Anwar, S. N. B., Alvarado, V., & Hsu, S. C. (2021). A socio-eco-efficiency analysis of water and wastewater treatment processes for refugee communities in Jordan. Resources, Conservation and Recycling, 164(October 2020), 105196. https://doi.org/10.1016/j.resconrec.2020.105196
Nazarova, I. B. (2023). Determinants of Subjective Dissatisfaction with Life: Analysis of Russian Data for 1994-2021. Monitoring of Public Opinion : Economic and Social Changes, 6(6), 3–16. https://doi.org/10.14515/monitoring.2023.6.2433
Oliveira-Silva, L. C., & Porto, J. B. (2021). Subjective well-being and flourishing at work: The impact of professional fulfilment. RAM. Revista de Administração Mackenzie, 22(1), 1–24. https://doi.org/10.1590/1678-6971/eramg210117
Onder, M. (2021). Economic sanctions outcomes: An information-driven explanation. Journal of International Studies, 14(2), 38–57. https://doi.org/10.14254/2071-8330.2021/14-2/3
Payab, A. H., Kautish, P., Sharma, R., Siddiqui, A., Mehta, A., & Siddiqui, M. (2023). Does human capital complement sustainable development goals? Evidence from leading carbon emitter countries. Utilities Policy, 81(November 2022), 101509. https://doi.org/10.1016/j.jup.2023.101509
Qasim, M. (2017). Sustainability and wellbeing: a scientometric and bibliometric review of the literature. Journal of Economic Surveys, 31(4), 1035–1061. https://doi.org/10.1111/joes.12183
Qasim, M., & Grimes, A. (2022). Sustainability and wellbeing: the dynamic relationship between subjective wellbeing and sustainability indicators. Environment and Development Economics, 27(1), 1–19. https://doi.org/10.1017/S1355770X20000509
Rivera, B., & Currais, L. (2003). The effect of health investment on growth: A causality analysis. International Advances in Economic Research, 9(4), 312–323. https://doi.org/10.1007/BF02296180
Santín, D., & Sicilia, G. (2017). Dealing with endogeneity in data envelopment analysis applications. Expert Systems with Applications, 68, 173–184. https://doi.org/10.1016/j.eswa.2016.10.002
Seleim, A., & Bontis, N. (2013). National Intellectual Capital and Economic Performance: Empirical Evidence from Developing Countries. Knowledge and Process Management, 20(3), 131–140. https://doi.org/10.1002/kpm.1412
Shi, J., Dai, X., Duan, K., & Li, J. (2023). Exploring the performances and determinants of public service provision in 35 major cities in China from the perspectives of efficiency and effectiveness. Socio-Economic Planning Sciences, 85(September 2022), 101441. https://doi.org/10.1016/j.seps.2022.101441
Shibalkov, I., Nedospasova, O., Barysheva, G., Pavlova, I., & Boikov, V. (2023). Comparative assessments of the effectiveness of health care and health saving institutions in Russian regions. E3S Web of Conferences, 460, 1–10. https://doi.org/10.1051/e3sconf/202346011006
Shibalkov, I., Nedospasova, O. P., Pavlova, I. A., & Boykov, V. A. (2022). Differentiation of satisfaction with the quality of life of the older generation in Russia. Advances in Gerontology, 35(6), 900–910. https://doi.org/10.34922/AE.2022.35.6.012
Shibalkov, I., Nedospasova, O. P., Pavlova, I. A., & Rozhdestvenskaia, E. M. (2021). Satisfaction with the quality of life in the Russian regions in the context of realizing the resource potential of elderly people. Advances in Gerontology, 34(3), 454–460. https://doi.org/10.34922/ae.2021.34.3.016
Skachkova, L. S., Gerasimova, O. Y., Krivosheeva-Medyantseva, D. D., & Yakovleva, E. A. (2023). Happiness Economics: a Scoping Review. Journal of Institutional Studies, 15(3), 125–146. https://doi.org/10.17835/2076-6297.2023.15.3.125-146
Soboleva, N. E. (2020). Determinants and the Interrelationship Between Job Satisfaction and Life Satisfaction in Russia. Monitoring of Public Opinion : Economic and Social Changes, 155(1), 368–390. https://doi.org/10.14515/monitoring.2020.1.15
Tan, E. (2014). Human Capital Theory: A Holistic Criticism. Review of Educational Research, 84(3), 411–445. https://doi.org/10.3102/0034654314532696
Tone, K. (2002). A slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143(1), 32–41. https://doi.org/10.1016/S0377-2217(01)00324-1
Vaičiukynas, E., Andrijauskienė, M., Danėnas, P., & Benetytė, R. (2023). Socio-eco-efficiency of high-tech companies: a cross-sector and cross-regional study. Environment, Development and Sustainability, 25(11), 12761–12790. https://doi.org/10.1007/s10668-022-02589-9
Yakovleva, E. A., & Kryachko, V. I. (2021). Professional Productivity and Subjective Well-Being. Journal of Economic Regulation, 12(4), 110–120. https://doi.org/10.17835/2078-5429.2021.12.4.110-120
Yang, X. (2020). Health expenditure, human capital, and economic growth: an empirical study of developing countries. International Journal of Health Economics and Management, 20(2), 163–176. https://doi.org/10.1007/s10754-019-09275-w
Zubarevich, N. V. (2022). Regions of Russia in the new economic realities. Journal of the New Economic Association, 55(3), 226–234. https://doi.org/10.31737/2221-2264-2022-55-3-15
DOI: https://doi.org/10.15826/recon.2024.10.2.009
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