Measuring of human development through the output-oriented super efficiency vrs. DEA model without inputs

  • Miraç Eren Ondokuz Mayıs University
  • Murat Eren Ataturk University
  • Selim Başar Ataturk University

Abstract


The Human Development Index (abbv. HDI) being a popular measure of human well-being has become a measure of human development. However, the HDI has received the major criticisms relating the data structure and the particularly equal weighting scheme. In this study, to eliminate mentioned shortcomings, the measurement of human development was again revisited in the light of data envelopment analysis (DEA).  All of the variables used in HDI account were taken as output variables to sort out the relative performance of the countries. In the absence of input variables, and a case in which there are only output variables was reorganized by the formulation of super-efficiency model developed by Andersen and Petersen (1993). The formulation obtained was applied to the Radial based DEA model without inputs, which it is considered as the output of all of the relevant variables, and developed by Lovell and Pastor (1999).

References

Andersen, P., & Petersen, N.C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management science, 39 (10), 1261-1264.

Baliamoune-Lutz, M., & McGillivray, M. (2006). Fuzzy well-being achievement in Pacific Asia. Journal of the Asia Pacific Economy, 11 (2), 168-177.

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30 (9), 1078-1092.

Bhanojirao, V. (1991). Human development report 1990: review and assessment. World Development, 19 (10), 1451-1460.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European journal of operational research, 2 (6), 429-444.

Coelli, T., & Perelman, S. (2000). Technical efficiency of European railways: a distance function approach. Applied Economics, 32 (15), 1967-1976.

Cooper, W.W., Seiford, L.M., & Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software: Springer Science & Business Media.

Cooper, W.W., Seiford, L.M., & Zhu, J. (2011). Data envelopment analysis: History, models, and interpretations Handbook on data envelopment analysis (pp. 1-39): Springer.

De Witte, K., Rogge, N., Cherchye, L., & Van Puyenbroeck, T. (2013). Economies of scope in research and teaching: A non-parametric investigation. Omega, 41 (2), 305-314.

Despotis, D. (2005). Measuring human development via data envelopment analysis: the case of Asia and the Pacific. Omega, 33 (5), 385-390.

Dias, R.A., Mattos, C.R., & Balestieri, J.A. (2006). The limits of human development and the use of energy and natural resources. Energy Policy, 34 (9), 1026-1031.

PO (DPT), State Planning Organization (2007). Ninth Five-Year Development Plan. Labor Market Specialization Commission Report (In Turkish).

Ebadi, S. (2012). Using a Super Efficiency Model for Ranking units in DEA. Applied Mathematical Sciences, 6 (41), 2043-2048.

Engineer, M., King, I., & Roy, N. (2008). The human development index as a criterion for optimal planning. Indian Growth and Development Review, 1 (2), 172-192.

Färe, R., & Karagiannis, G. (2014). Benefit-of-the-doubt aggregation and the diet problem. Omega, 47, 33-35.

Harttgen, K., & Klasen, S. (2012). A household-based human development index. World Development, 40 (5), 878-899.

Hicks, D.A. (1997). The inequality-adjusted human development index: a constructive proposal. World Development, 25 (8), 1283-1298.

Kelley, A.C. (1991). The Human Development Index:" Handle with Care". Population and Development Review, 17 (2), 315-324.

Lovell, C.K., & Pastor, J.T. (1999). Radial DEA models without inputs or without outputs. European Journal of operational research, 118 (1), 46-51.

Mahlberg, B., & Obersteiner, M. (2001). Remeasuring the HDI by data envelopement analysis. Available at SSRN 1999372.

Mariano, E.B., Sobreiro, V.A., & do Nascimento Rebelatto, D.A. (2015). Human development and data envelopment analysis: A structured literature review. Omega, 54, 33-49.

Moran, D.D., Wackernagel, M., Kitzes, J.A., Goldfinger, S.H., & Boutaud, A. (2008). Measuring sustainable development—Nation by nation. Ecological Economics, 64 (3), 470-474.

Morse, S. (2003). Greening the United Nations' human development index? Sustainable Development, 11 (4), 183-198.

Neumayer, E. (2001). The human development index and sustainability—a constructive proposal. Ecological Economics, 39 (1), 101-114.

Noorbakhsh, F. (1998). A modified human development index. World Development, 26 (3), 517-528.

Ogwang, T. (1994). The choice of principle variables for computing the Human Development Index. World Development, 22 (12), 2011-2014.

Poveda, A.C. (2011). Economic development and growth in Colombia: An empirical analysis with super-efficiency DEA and panel data models. Socio-Economic Planning Sciences, 45 (4), 154-164.

Prados de la Escosura, L. (2015). World human development: 1870–2007. Review of Income and Wealth, 61 (2), 220-247.

Ranis, G., Stewart, F., & Samman, E. (2005). Human development: Beyond the HDI. Yale University Economic Growth Center Discussion Paper (916).

Ravallion, M. (1997). Good and bad growth: the human development reports. World Development, 25 (5), 631-638.

Ravallion, M. (2012). Troubling tradeoffs in the human development index. Journal of Development Economics, 99 (2), 201-209.

Safari, H., & Ebrahimi, E. (2014). Using Modified Similarity Multiple criteria Decision Making technique to rank countries in terms of Human Development Index.

Sagar, A.D., & Najam, A. (1998). The human development index: a critical review. Ecological Economics, 25 (3), 249-264.

Sanusi, Y.A. (2008). Application of human development index to measurement of deprivations among urban households in Minna, Nigeria. Habitat International, 32 (3), 384-398.

Srinivasan, T.N. (1994). Human development: a new paradigm or reinvention of the wheel? The American Economic Review, 84, 238-243.

UNDP. (1995). Human Development Report. New York: UNDP.

Wolff, H., Chong, H., & Auffhammer, M. (2011). Classification, Detection and Consequences of Data Error: Evidence from the Human Development Index*. The Economic Journal, 121 (553), 843-870.

Published
2017/05/11
Section
Original Scientific Paper