How to cite this paper
Khosravi, A., Najafi, S & Rafiei, S. (2015). Productivity measurement using DEA and Malmiquest index.Management Science Letters , 5(7), 663-668.
Refrences
Ahn, Y. H., & Min, H. (2014). Evaluating the multi-period operating efficiency of international airports using data envelopment analysis and the Malmquist productivity index. Journal of Air Transport Management, 39, 12-22.
Aparicio, J., Pastor, J. T., & Zofio, J. L. (2013). On the inconsistency of the Malmquist–Luenberger index. European Journal of Operational Research,229(3), 738-742.
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.
Caves, D. W., Christensen, L. R. & Diewert, W. E., (1982). Multilateral comparisons of output, input, and productivity using superlative index numbers. Economic Journal, Royal Economic Society, 92(365), 73-86.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Fuentes, R., & Lillo-Ba?uls, A. (2015). Smoothed bootstrap Malmquist index based on DEA model to compute productivity of tax offices. Expert Systems with Applications, 42(5), 2442-2450.
Gharneh, N. S., Nabavieh, A., Gholamiangonabadi, D., & Alimoradi, M. (2014). Productivity change and its determinants: Application of the Malmquist index with bootstrapping in Iranian steam power plants. Utilities Policy, 31, 114-120.
Kerstens, K., & Van de Woestyne, I. (2014). Comparing Malmquist and Hicks–Moorsteen productivity indices: Exploring the impact of unbalanced vs. balanced panel data. European Journal of Operational Research, 233(3), 749-758.
Lin, B., & Du, K. (2015). Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach. Energy Economics, 49, 550-557.
Rezitis, A. N. (2006). Productivity growth in the Greek banking industry: a non parametric approach. Journal of Applied economics, 9, 119-138.
Tulkens, H. (1993). On FDH efficiency analysis: some methodological issues and applications to retail banking, courts, and urban transit. Journal of Productivity Analysis, 4, 183-210.
Wijesiri, M., & Meoli, M. (2015). Productivity change of microfinance institutions in Kenya: A bootstrap Malmquist approach. Journal of Retailing and Consumer Services, 25, 115-121.
Woo, C., Chung, Y., Chun, D., Seo, H., & Hong, S. (2015). The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries. Renewable and Sustainable Energy Reviews, 47, 367-376.
Zhang, N., Zhou, P., & Kung, C. C. (2015). Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis. Renewable and Sustainable Energy Reviews, 41, 584-593.
Aparicio, J., Pastor, J. T., & Zofio, J. L. (2013). On the inconsistency of the Malmquist–Luenberger index. European Journal of Operational Research,229(3), 738-742.
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.
Caves, D. W., Christensen, L. R. & Diewert, W. E., (1982). Multilateral comparisons of output, input, and productivity using superlative index numbers. Economic Journal, Royal Economic Society, 92(365), 73-86.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Fuentes, R., & Lillo-Ba?uls, A. (2015). Smoothed bootstrap Malmquist index based on DEA model to compute productivity of tax offices. Expert Systems with Applications, 42(5), 2442-2450.
Gharneh, N. S., Nabavieh, A., Gholamiangonabadi, D., & Alimoradi, M. (2014). Productivity change and its determinants: Application of the Malmquist index with bootstrapping in Iranian steam power plants. Utilities Policy, 31, 114-120.
Kerstens, K., & Van de Woestyne, I. (2014). Comparing Malmquist and Hicks–Moorsteen productivity indices: Exploring the impact of unbalanced vs. balanced panel data. European Journal of Operational Research, 233(3), 749-758.
Lin, B., & Du, K. (2015). Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach. Energy Economics, 49, 550-557.
Rezitis, A. N. (2006). Productivity growth in the Greek banking industry: a non parametric approach. Journal of Applied economics, 9, 119-138.
Tulkens, H. (1993). On FDH efficiency analysis: some methodological issues and applications to retail banking, courts, and urban transit. Journal of Productivity Analysis, 4, 183-210.
Wijesiri, M., & Meoli, M. (2015). Productivity change of microfinance institutions in Kenya: A bootstrap Malmquist approach. Journal of Retailing and Consumer Services, 25, 115-121.
Woo, C., Chung, Y., Chun, D., Seo, H., & Hong, S. (2015). The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries. Renewable and Sustainable Energy Reviews, 47, 367-376.
Zhang, N., Zhou, P., & Kung, C. C. (2015). Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis. Renewable and Sustainable Energy Reviews, 41, 584-593.