Decent work and economic growth: the case study of the BRICS countries

Viktorija  Skvarciany; Silvija  Vidžiūnaitė

doi:10.23762/FSO_VOL10_NO2_4

Published : 2022-06-29

Vol. 10 No. 2 (2022)

Decent work and economic growth: the case study of the BRICS countries

Viktorija Skvarciany

https://orcid.org/0000-0001-8022-4124

Silvija Vidžiūnaitė

https://orcid.org/0000-0002-2211-117X

DOI: https://doi.org/10.23762/FSO_VOL10_NO2_4

Abstract

The article covers the prioritisation of Brazil, Russia, India, China, and South Africa (collectively referred to as the BRICS countries) in order to find out which of them is the most successful in terms of Sustainable Development Goal 8 (SDG8). For that purpose, the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods were used. The AHP method was employed in order to assign suitable weights to the SDG8 indicators, and the TOPSIS and COPRAS methods were used for the prioritisation of BRICS countries. Based on the research results, China was the most progressive economy from 1991 to 2019 regarding economic growth and a decent work environment, while South Africa showed the lowest level of progress.

Keywords:

sustainable development goals, economic growth, decent work, BRICS

Details

References

Statistics

Authors

Download files

PDF

Citation rules

Skvarciany, V. ., & Vidžiūnaitė, S. . (2022). Decent work and economic growth: the case study of the BRICS countries. Forum Scientiae Oeconomia, 10(2), 73–89. https://doi.org/10.23762/FSO_VOL10_NO2_4

Altmetric indicators

Cited by / Share

Licence

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

References

Ali, M., Raza, S. A., Khamis, B. (2020), Environmental degradation, economic growth, and energy innovation: evidence from European countries, Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-020-09142-z

Arabameri, A., Yamani, M., Pradhan, B., Melesse, A., Shirani, K., Bui, D. T. (2019), Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility, Science of The Total Environment, 688, 903–916. https://doi.org/10.1016/j.scitotenv.2019.06.205

Awad, A. (2020), Which Contributes More to Economic Growth in the MENA Region: Health or Education? An Empirical Investigation, Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-020-00662-0

Bertram, C. (2019), The Openness-Rights Trade-off in Labour Migration, Claims to Membership, and Justice, Ethical Theory and Moral Practice, 22(2), 283–296. https://doi.org/10.1007/s10677-018-9968-5

Castillo, C., Da Silva, J., Monsueto, S. (2020), Objectives of Sustainable Development and Youth Employment in Colombia, Sustainability, 12(3), 991. https://doi.org/10.3390/su12030991

Chernov, A., Vovk, V. (2010), Prediction with Advice of Unknown Number of Experts, ArXiv Pre-Print Server.

Das, P. P., Chakraborty, S. (2020), Application of Superiority and Inferiority Multi-criteria Ranking Method for Parametric Optimization of Laser Cutting Processes, Process Integration and Optimization for Sustainability, 4(4), 409–427. https://doi.org/10.1007/s41660-020-00129-4

Dinçer, H., Yüksel, S., Martínez, L. (2020), A Comparative Analysis of Incremental and Disruptive Innovation Policies in the European Banking Sector with Hybrid Interval Type-2 Fuzzy Decision-Making Models, International Journal of Fuzzy Systems, 22(4), 1158–1176. https://doi.org/10.1007/s40815-020-00851-8

Eurostat. (2020). Sustainable development indicators.

Ghobadi, M., Nasri, M., Ahmadipari, M. (2021), Land suitability assessment (LSA) for aquaculture site selection via an integrated GIS-DANP multicriteria method; a case study of lorestan province, Iran, Aquaculture, 530. https://doi.org/10.1016/j.aquaculture.2020.735776

Ginevicius, R., Podvezko, V. (2008), Daugiakrite-rinio vertinimo taikymo galimybes kiekybi-niam socialiniu reiskiniu vertinimui, Verslas: Teorija Ir Praktika, 9, 81–87. https://doi.org/10.3846/1648-0627.2008.9.81-87 (Original work published in Lithuanian).

Hodkinson, S. N., Lewis, H., Waite, L., Dwyer, P. (2020), Fighting or fuelling forced labour? The Modern Slavery Act 2015, irregular migrants and the vulnerabilising role of the UK’s hostile environment, Critical Social Policy, 41(1), 68-90. https://doi.org/10.1177/0261018320904311

Hoskins, B., Leonard, P., Wilde, R. (2020), How Effective is Youth Volunteering as an Employment Strategy? A Mixed Methods Study of England, Sociology, 54(4), 763-781. https://doi.org/10.1177/0038038520914840

Jiménez-Medina, P., Artal-Tur, A., Sánchez-Casado, N. (2020), Tourism Business, Place Identity, Sustainable Development, and Urban Resilience: A Focus on the Sociocultural Dimension, International Regional Science Review, 44(1), 170-199. https://doi.org/10.1177/0160017620925130

Jingyu, W., Yuping, B., Yihzong, W., Zhihui, L., Xiangzheng, D., Islam, M., Managi, S. (2020), Measuring inclusive wealth of China: Advances in sustainable use of resources, Journal of Environmental Management, 264. https://doi.org/10.1016/j.jenvman.2020.110328

Kawohl, W., Nordt, C. (2020), COVID-19, unemployment, and suicide, The Lancet Psychiatry, 7(5), 389–390. https://doi.org/10.1016/s2215-0366(20)30141-3

Khmeleva, G.A., Egorova, K. S. (2016), Structural Shift in a City Labour Market: Globalization and Local Efects, in: T. Kliestik (Ed.), Globalization and its Socio-economic Consequebces, 16thInternational Scientific Conference Proceedings, PTS I-V (p. 855+). University of Zilina.

Kilic, E., Cankaya, S. (2020), Oil prices and economic activity in BRICS and G7 countries, Central European Journal of Operations Research, 28(4), 1315–1342. https://doi.org/10.1007/s10100-019-00647-8

Kivalov, S., Kibik, O. (2019), Economic and Organizational Predictions for the Development of Agency Relations in a Crisis Period, Baltic Journal of Economic Studies, 5(2), 73-79. https://doi.org/10.30525/2256-0742/2019-5-2-73-79

Libby, R., Blashfield, R. K. (1978), Performance of a composite as a function of the number of judges, Organizational Behavior and Human Performance, 21(2), 121–129. https://doi.org/10.1016/0030-5073(78)90044-2

Lunacek, J., Smecka, J. (2018), Factors Affecting Economic Growth – the Case Study for the Czech Republic, in: T. Loster, T. Pavelka (Eds.), 12th International Days of Statistics and Economics (pp. 1101–1111), Prague: Melandrium.

Mallick, S., Rughoo, A., Tzeremes, N. G., Xu, W. (2020), Technological Change and Catching-Up in the Indian Banking Sector: A Time-Dependent Nonparametric Frontier Approach, Computational Economics, 56, 217-237. https://doi.org/10.1007/s10614-020-09993-1

Mousavi, M. M., Lin, J. (2020), The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress pre-diction models evaluation, Expert Systems with Applications, 159. https://doi.org/10.1016/j.eswa.2020.113438

Mustchin, S., Martínez Lucio, M. (2020), The evolving nature of labour inspection, enforcement of employment rights and the regulatory reach of the state in Britain, Journal of Industrial Relations, 62(5), 735-757. https://doi.org/10.1177/0022185620908909

Ongan, S., Isik, C., Ozdemir, D. (2020), Economic growth and environmental degradation: evidence from the US case environmental Kuznets curve hypothesis with application of decomposition, Journal of Environmental Economics and Policy, 1–8. https://doi.org/10.1080/21606544.2020.1756419

Ozcan, I., Inan, U. H., Korkusuz, A. Y. (2020), Metro Driver Selection by Using Multi Criteria Decision Making Methods, Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir -Osmangazi University Journal of Economics and Administrative Sciences, 15(3), 1185–1202.

Park, M., Lee, S., Nam, K. C., Noh, H., Lee, S., Lee, B. J. (2020), An evaluation of the youth em-ployment support program in South Korea: Focusing on the outcome of preventing NEET, Children and Youth Services Review, 110(1), 104747. https://doi.org/10.1016/j.childyouth.2020.104747

Peterson, J. B. (2018), 12 Rules for Life: An Antidote to Chaos, Random HouseCanada.

Rahman, M. M. (2020), Environmental degradation: The role of electricity consumption, economic growth and globalisation, Journal of Environmental Management, 253, 109742. https://doi.org/10.1016/j.jenvman.2019.109742

Rodríguez Sousa, A. A., Parra-López, C., Sayadi-Gmada, S., Barandica, J. M., Rescia, A. J. (2020), A multifunctional assessment of integrated and ecological farming in olive agroecosystems in southwestern Spain using the Analytic Hierarchy Process, Ecological Economics, 173, 106658. https://doi.org/10.1016/j.ecole-con.2020.106658

Romagosa, F. (2020), The COVID-19 crisis: Opportunities for sustainable and proximity tourism, Tourism Geographies, 1–5. https://doi.org/10.1080/14616688.2020.1763447

Saaty, T. L. (2008), Relative measurement and its generalization in decision making why pair-wise comparisons are central in mathematics for the measurement of intangible factors the analytic hierarchy/network process. Revista de La Real Academia de Ciencias Exactas, Fisicas y Naturales. Serie A. Matematicas, 102(2), 251–318. https://doi.org/10.1007/BF03191825

Saleem, H., Shabbir, M. S., Bilal Khan, M. (2020), The short-run and long-run dynamics among FDI, trade openness and economic growth: Using a bootstrap ARDL test for co-integration in selected South Asian countries, South Asian Journal of Business Studies, 9(2), 279–295. https://doi.org/10.1108/SAJBS-07-2019-0124

Shapira, A., Simcha, M. (2009), AHP-based weighting of factors affecting safety on construction sites with tower cranes, Journal of Construction Engineering and Management, 135(4), 307–318. DOI: 10.1061/(ASCE)0733-9364(2009)135:4(307)

Shen, C.-H., Chen, Y., Hsu, H.-H., Lin, C.-Y. (2020), Banking Crises and Market Timing: Evidence from M&As in the Banking Sector, Journal of Financial Services Research, 57(3), 315–347. https://doi.org/10.1007/s10693-019-00318-4

Scherrer, C. (2020), Superfluous Workers: Why SDG 8 Will Remain Elusive BT, in: M. Kaltenborn, M. Krajewski, H. Kuhn (Eds.), Sustainable Development Goals and Human Rights (pp. 119–135), Cham: Springer International Pub-lishing.

Shih, H.-S., Shyur, H.-J., Lee, E. S. (2007), An extension of TOPSIS for group decision making, Mathematical and Computer Modelling, 45(7), 801–813. https://doi.org/https://doi.org/10.1016/j.mcm.2006.03.023

Sustainable Development (2017), China’s Progress Report on Implementation of the 2030 Agenda for Sustainable Development: retrieved from: http://www.cikd.org/english/detail?leaf-Id=213&docId=1162 (accessed 26 December 2021)

Uduji, J. I., Okolo-Obasi, E. N., Asongu, S. A. (2019), Corporate social responsibility in Ngeria and multinational corporations in the fight against human trafficking in oil-producing communities, Local Environment, 24(12), 1097–1118. https://doi.org/10.1080/13549839.2019.1677583United Nations (2015a), Sustainable development goal 8. Sustainable Development Goals.

United Nations (2015b), Sustainable Development Goals, retrieved from: https://www.un.org/sustainabledevelopment/sustainable-develop-ment-goals/ (accessed 26 December 2021).

United Nations (2018), Transforming Our World: The 2030 Agenda for Sustainable Development, in: A New Era in Global Health. https://doi.org/10.1891/9780826190123.ap02

Vo, D., Nguyen, T., Tran, N., Vo, A. (2019), What Factors Affect Income Inequality and Economic Growth in Middle-Income Countries?, Journal of Risk and Financial Management, 12(1), 40. https://doi.org/10.3390/jrfm12010040

Wang, H., Schandl, H., Wang, X., Ma, F., Yue, Q., Wang, G., Wang, Y., Wei, Y., Zhang, Z., Zheng, R. (2020), Measuring progress of China’s circular economy, Resources Conservation and Recycling, 163. https://doi.org/10.1016/j.resconrec.2020.105070

Yalcin, A. S., Kilic, H. S., Guler, E. (2020), Research and Development Project Selection via IF-DEMATEL and IF-TOPSIS. in: C. Kahraman, S. Cebi, S. Cevik Onar, B. Oztaysi, A. Tolga, I. Sari (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, INFUS 2019, Advances in Intelligent Systems and Computing, Vol. 1029 (pp. 625–633), Cham: Springer. https://doi.org/10.1007/978-3-030-23756-1_76

Zavadskas, E. K., Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: an overview, Technological and Economic Development of Economy, 17(2), 397–427. https://doi.org/10.3846/20294913.2011.593291

Zemtsov, S. (2020). New technologies, poten-tial unemployment and ‘nescience economy’ during and after the 2020 economic crisis, Regional Science Policy & Practice. https://doi.org/10.1111/rsp3.12286

Zhou, H. (2020), Monitoring Intensity and Technology Choice in a Model of Unemployment, Eastern Economic Journal, 46(3), 504–520. https://doi.org/10.1057/s41302-019-00144-5

Viktorija Skvarciany

viktorija.skvarciany@vilniustech.lt
https://orcid.org/0000-0001-8022-4124

Affiliation:

Vilnius Gediminas Technical University – VILNIUS TEC Lithuania

Bio Statement (e.g., department and rank)

Viktorija Skvarciany holds a PhD in Economics and works as an Associate Professor at the Department of Economics Engineering and Vice-Dean for Research and Innovation at the Faculty of Business Management at VILNIUS TECH. Her research interests include decision-making processes, the digital economy, and sustainable development.

Silvija Vidžiūnaitė

svidziunaite@gmail.com
https://orcid.org/0000-0002-2211-117X

Affiliation:

Vilnius Gediminas Technical University – VILNIUS TEC Lithuania

Bio Statement (e.g., department and rank)

Silvija Vidžiūnaitė holds a master’s degree in Economics and works in the banking sector. Her research interests include decision-making processes, behavioural economics, and continuous improvement processes.