Developmental Performance Ranking of SAARC Nations: An Application of TOPSIS Method of Multi-Criteria Decision Making
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Abstract
To be developed, nations are trying to cope up with the fast-changing economy and technology of the world. But the development of a nation does not depend only on these two factors rather several other indicators are essential to a country’s development. The present study deals with the progress of the SAARC (South Asian Association for Regional Cooperation) countries towards development through social, economic and environmental stability. This study aims at analyzing the comparative developmental performance of the SAARC nations in accordance with the Millennium Development Goals (MDGs) and Sustainable Development Goals (SDGs). In this study, we have prioritized the 8 SAARC nations based on 4 indicators (economic, demographic, health and environment indicators) and 20 variables using the multi-criteria decision-making method (MCDM). The result showed that Sri Lanka has prioritized 1st followed by Bhutan. India has been ranked 4th and Afghanistan was least prioritized.
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References
Bongaarts, J. (2001). Dependency burdens in the developing world. In N. Birdsall, A. C. Kelley & S. Sinding (Eds.), Population matters. Demographic change, economic growth, and poverty in the developing world (pp. 55-64). Oxford University Press.
Google Scholar CrossrefBrundtland, G. H. (1987). Our common future—Call for action. Environmental Conservation, 14(4), 291-294. http://doi.org/10.1017/S0376892900016805
Google Scholar CrossrefComim, F. (2016). Beyond the HDI? Assessing alternative measures of human development from a capability perspective. Background paper of the Human Development Report 2016.
Google Scholar Crossrefde Andrade, L. O., Pellegrini Filho, A., Solar, O., Rígoli, F., de Salazar, L. M., Serrate, P. C., Ribeiro, K. G., Koller, T.S., Cruz, F. N., & Atun, R. (2015). Social determinants of health, universal health coverage, and sustainable development: case studies from Latin American countries. The Lancet, 385(9975), 1343-1351. http://doi.org/10.1016/S0140-6736(14)61494-X
Google Scholar CrossrefGiannetti, B. F., Agostinho, F., Almeida, C. M. V. B., & Huisingh, D. (2015). A review of limitations of GDP and alternative indices to monitor human wellbeing and to manage eco-system functionality. Journal of Cleaner Production, 87, 11-25. http://doi.org/10.1016/j.jclepro.2014.10.051
Google Scholar CrossrefGuest, A.M. (1974). The relationship of the crude birth rate and its components to social and economic development. Demography, 11(3), 457-472. https://doi.org/10.2307/2060438
Google Scholar CrossrefHanushek, E.A., & Wößmann, L. (2007). The role of education quality for economic growth. The World Bank.
Google Scholar CrossrefHealy, T., & Côté, S. (2001). The Well-Being of Nations: The Role of Human and Social Capital. Education and Skills. Organisation for Economic Cooperation and Development.
Google Scholar CrossrefHelliwell, J. F., Layard, P. R., & Sachs, J. (Eds.). (2016). World happiness report 2016 update: volume I. Sustainable Development Solutions Network.
Google Scholar CrossrefHenderson, H. (1996). Measuring Progress: Not by GNP Alone. The Light Party https://lightparty.com/Visionary/MeasuringProgress.html
Google Scholar CrossrefHwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making. Methods and Applications A State-of-the-Art Survey (pp. 58-191). Springer.
Google Scholar CrossrefJāhāna, S. (2016). Human development report 2016: human development for everyone. United Nations Publications.
Google Scholar CrossrefJiang, S., Li, Y., Jiang, P., & Gan, L. (2017). Evaluating the Quality Performance of Reconstructive Community Public Health Service Based on Weighted TOPSIS Method. In Proceedings of the Tenth International Conference on Management Science and Engineering Management (pp. 113-123). Springer.
Google Scholar CrossrefMarcuss, R. D., & Kane, R. E. (2007). Us national income and product statistics. Survey of Current Business, 87, 32-46.
Google Scholar CrossrefMarković, Z. (2016). Modification of TOPSIS method for solving of multicriteria tasks. Yugoslav Journal of Operations Research, 20(1). http://doi.org/10.2298/YJOR1001117M
Google Scholar CrossrefMcCulla, S. H., & Smith, S. (2007). Measuring the Economy: A primer on GDP and the National Income and Product Accounts. Bureau of Economic Analysis, US Departament of Commerce.
Google Scholar CrossrefMorris, M. D. (1978). A physical quality of life index. Urban Ecology, 3(3), 225-240. http://doi.org/10.1016/0304-4009(78)90015-3
Google Scholar CrossrefOECD (2018a). Fertility rates (indicator). OECD iLibrary. http://doi.org/10.1787/8272fb01-en
Google Scholar CrossrefOECD (2018b). Gross domestic product (GDP) (indicator). OECD iLibrary. http://doi.org/10.1787/dc2f7aec-en
Google Scholar CrossrefOECD (2018c). Life expectancy at birth (indicator). OECD iLibrary. http://doi.org/10.1787/27e0fc9d-en
Google Scholar CrossrefOECD (2018d). Trade in goods and services (indicator). OECD iLibrary. http://doi.org/10.1787/0fe445d9-en
Google Scholar CrossrefOECD (2018e). Unemployment rate (indicator). OECD iLibrary. http://doi.org/10.1787/997c8750-en
Google Scholar CrossrefPickett, K. E., & Wilkinson, R. (2012). The Spirit Level: Why Greater Equality Makes Societies Stronger. Bloomsbury Press.
Google Scholar CrossrefPorter, M. E., Stern, S., & Green, M. (2014). Social progress index 2014. Social Progress Imperative.
Google Scholar CrossrefReidpath, D. D., & Allotey, P. (2003). Infant mortality rate as an indicator of population health. Journal of Epidemiology & Community Health, 57(5), 344-346. http://doi.org/10.1136/jech.57.5.344
Google Scholar CrossrefShaheen, I. (2013). South Asian Association for Regional Cooperation (SAARC): Its Role, Hurdles and Prospects. IOSR Journal of Humanities and Social Science, 15(6), 01-09. http://doi.org/10.9790/0837-1560109
Google Scholar CrossrefShrestha, L. B. (2000). Population Aging In Developing Countries: The elderly populations of developing countries are now growing more rapidly than those in industrialized nations, thanks to health advances and declining fertility rates. Health affairs, 19(3), 204-212. https://doi.org/10.1377/hlthaff.19.3.204
Google Scholar CrossrefSatistical Office United Nations (1991). Handbook of Vital Statistics Systems and Methods, Volume 1: Legal, Organisational and Technical Aspects, United Nations Studies in Methods, Glossary, Series F, No. 35. United Nations.
Google Scholar CrossrefTaner, M., Sezen, B., & Mıhcı, H. (2011). An alternative human development index considering unemployment. South East European Journal of Economics and Business, 6(1), 45-60. http://doi.org/10.2478/v10033-011-0005-z
Google Scholar CrossrefTønnesson, S. (2004). Globalising national states. Nations and Nationalism, 10(1‐2), 179-194. http://doi.org/10.1111/j.1354-5078.2004.00162.x
Google Scholar CrossrefUNICEF. WHO (2017). Progress on Drinking Water, Sanitation and Hygiene: 2017 Update and SDG Baselines. World Health Organization (WHO) and the United Nations Children’s Fund (UNICEF).
Google Scholar CrossrefUNICEF. WHO (2017). Progress on Drinking Water, Sanitation and Hygiene: 2017 Update and SDG Baselines. World Health Organization (WHO) and the United Nations Children’s Fund (UNICEF).
Google Scholar CrossrefUnited Nations Inter-agency Group for Child Mortality Estimation (UN IGME) (2017). Levels & Trends in Child Mortality: Report 2017, Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation. United Nations Children’s Fund.
Google Scholar CrossrefUnited Nations Population Division (2014). World Urbanization Prospects: 2014 Revision. United Nations.
Google Scholar CrossrefWHO, UNICEF, UNFPA, World Bank Group, & the United Nations Population Division. (2015). Trends in Maternal Mortality: 1990 to 2015. World Health Organization.
Google Scholar CrossrefWitlox, F. (2005). Expert systems in land-use planning: An overview. Expert Systems with applications, 29(2), 437-445. http://doi.org/10.1016/j.eswa.2005.04.041
Google Scholar CrossrefWorld Health Organization (n.d.). World Health Organization Global Health Expenditure database. World Health Organization. http://apps.who.int/nha/database
Google Scholar CrossrefYang, T., & Hung, C. C. (2007). Multiple-attribute decision making methods for plant layout design problem. Robotics and Computer-integrated Manufacturing, 23(1), 126-137. http://doi.org/10.1016/j.rcim.2005.12.002
Google Scholar CrossrefYeh, C. H. (2002). A problem‐based selection of multi‐attribute decision‐making methods. International Transactions in Operational Research, 9(2), 169-181. http://doi.org/10.1111/1475-3995.00348
Google Scholar CrossrefYoon, K. (1987). A reconciliation among discrete compromise solutions. Journal of the Operational Research Society, 38(3), 277-286. http://doi.org/10.1057/jors.1987.44
Google Scholar CrossrefZavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. (2016). Development of TOPSIS method to solve complicated decision-making problems—An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15(03), 645-682. http://doi.org/10.1142/S0219622016300019
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