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An index aggregation approach to comparing the overall performance of emerging and developed countries

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  • Chen, Ye
  • Su, Xin
  • Hipel, Keith W.

Abstract

An index aggregation approach is proposed to carry out comparisons of BRICSAM, a populous rapidly growing economic group consisting of Brazil, Russia, India, China, South Africa, Association of South-East Asian Nations (ASEAN), and Mexico with Group of Seven (G7), the most developed country club including Canada, France, Italy, Japan, Germany, United Kingdom and the United States. It is estimated that by 2050 the accelerated economic activity of BRICSAM could have significant impact on investment flows, legal and regulatory frameworks, the stability of political institutions, human capital and migration flows, competition policy, intellectual property rights, and social and environmental policies. The comparison analyses of BRICSAM and G7 countries could assist people to better understand the status quo of these countries in the global economy and international system, particularly in the areas of economics and responsible activities such as sustainable development, global commitments and transparent practices. Many country-ranking indices, such as the indices given in the global competitiveness report by the World Economic Forum, and the environmental sustainability index by Yale University, constitute evaluations of countries from different perspectives. This paper proposes a data envelopment analysis-based approach to aggregate different ranking indices for BRICSAM and the G7 countries. The approach can provide a fair overall assessment of a country's standing by maximizing its possibility of obtaining the best possible result.

Suggested Citation

  • Chen, Ye & Su, Xin & Hipel, Keith W., 2009. "An index aggregation approach to comparing the overall performance of emerging and developed countries," Socio-Economic Planning Sciences, Elsevier, vol. 43(1), pages 25-39, March.
    • Handle: RePEc:eee:soceps:v:43:y:2009:i:1:p:25-39
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    References listed on IDEAS

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    1. Kocher, Martin G. & Luptacik, Mikulas & Sutter, Matthias, 2006. "Measuring productivity of research in economics: A cross-country study using DEA," Socio-Economic Planning Sciences, Elsevier, vol. 40(4), pages 314-332, December.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    4. Cook, Wade D. & Kress, Moshe, 1994. "A multiple-criteria composite index model for quantitative and qualitative data," European Journal of Operational Research, Elsevier, vol. 78(3), pages 367-379, November.
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    Cited by:

    1. Campoli, Jessica Suárez & Alves Júnior, Paulo Nocera & Rossato, Fabrícia Gladys Fernandes da Silva & Rebelatto, Daisy Aparecida do Nascimento, 2020. "The efficiency of Bolsa Familia Program to advance toward the Millennium Development Goals (MDGs): A human development indicator to Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    2. Philip Walsh, 2011. "Creating a “values” chain for sustainable development in developing nations: where Maslow meets Porter," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 13(4), pages 789-805, August.
    3. Pereira, Javier & Contreras, Pedro & Morais, Danielle C. & Arroyo-López, Pilar, 2022. "A multi-criteria and stochastic robustness analysis approach to compare nations sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    4. Pereira, Javier & Contreras, Pedro & Morais, Danielle C. & Arroyo-López, Pilar, 2022. "Multi-criteria ordered clustering of countries in the Global Health Security Index," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).

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