How to cite this paper
Nguyen, T., Le, Q., Tran, T & Nguyen, M. (2019). Ownership, technology gap and technical efficiency of small and medium manufacturing firms in Vietnam: A stochastic meta frontier approach.Decision Science Letters , 8(3), 225-232.
Refrences
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Alem, H., Lien, G., Hardaker, J. B., & Guttormsen, A. (2019). Regional differences in technical efficiency and technological gap of Norwegian dairy farms: a stochastic meta-frontier model. Applied Economics, 51(4), 409-421.
Battese, G. E., Rao, D. P., & O'donnell, C. J. (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Productivity Analysis, 21(1), 91-103.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281.
Goyal, J., Singh, R., Kaur, H., & Singh, K. (2018). Intra-industry efficiency analysis of Indian textile industry: a meta-frontier DEA approach. International Journal of Law and Management, 60(6), 1448-1469.
Hafezalkotob, A., Haji-Sami, E., & Omrani, H. (2015). Robust DEA under discrete uncertain data: a case study of Iranian electricity distribution companies. Journal of Industrial Engineering International, 11(2), 199-208.
Hayami, Y. (1969). Sources of agricultural productivity gap among selected countries. American Journal of Agricultural Economics, 51(3), 564-575.
Ho, D. B. (2016), Analysis of technical efficiency and productivity of general factors, Hanoi National University Publishing House (In Vietnamese).
Ho, D.B., Pham, V.M., Pham, V.T & Truong, N.H (2018), A stochastic analysis of Vietnam bilateral trade efficiency. Journal of Economics and Development, 20(2), 50-64
Huang, C. J., Huang, T. H., & Liu, N. H. (2014). A new approach to estimating the metafrontier production function based on a stochastic frontier framework. Journal of productivity Analysis, 42(3), 241-254.
Le, V., Vu, X. B. B., & Nghiem, S. (2018). Technical efficiency of small and medium manufacturing firms in Vietnam: A stochastic meta-frontier analysis”. Economic Analysis and Policy, 59, 84-91.
Meeusen, W., & van Den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 18(2), 435-444.
Nguyen, K. M. (2005), Impact of technological progress on economic growth, Science and Technology Publishing House, Hanoi. (In Vietnamese)
Naceur, M. S. B., Casu, B., & Ben-Khedhiri, H. (2011). What drives the performance of selected Mena banks? A+ L4624 meta-frontier analysis (No. 11-34). International Monetary Fund.
O’Donnell, C. J., Rao, D. P., & Battese, G. E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical economics, 34(2), 231-255.
Wang, M., & Wong, M. S. (2016). Effects of foreign direct investment on firm-level technical efficiency: stochastic frontier model evidence from Chinese manufacturing firms. Atlantic Economic Journal, 44(3), 335-361.
Alem, H., Lien, G., Hardaker, J. B., & Guttormsen, A. (2019). Regional differences in technical efficiency and technological gap of Norwegian dairy farms: a stochastic meta-frontier model. Applied Economics, 51(4), 409-421.
Battese, G. E., Rao, D. P., & O'donnell, C. J. (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Productivity Analysis, 21(1), 91-103.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281.
Goyal, J., Singh, R., Kaur, H., & Singh, K. (2018). Intra-industry efficiency analysis of Indian textile industry: a meta-frontier DEA approach. International Journal of Law and Management, 60(6), 1448-1469.
Hafezalkotob, A., Haji-Sami, E., & Omrani, H. (2015). Robust DEA under discrete uncertain data: a case study of Iranian electricity distribution companies. Journal of Industrial Engineering International, 11(2), 199-208.
Hayami, Y. (1969). Sources of agricultural productivity gap among selected countries. American Journal of Agricultural Economics, 51(3), 564-575.
Ho, D. B. (2016), Analysis of technical efficiency and productivity of general factors, Hanoi National University Publishing House (In Vietnamese).
Ho, D.B., Pham, V.M., Pham, V.T & Truong, N.H (2018), A stochastic analysis of Vietnam bilateral trade efficiency. Journal of Economics and Development, 20(2), 50-64
Huang, C. J., Huang, T. H., & Liu, N. H. (2014). A new approach to estimating the metafrontier production function based on a stochastic frontier framework. Journal of productivity Analysis, 42(3), 241-254.
Le, V., Vu, X. B. B., & Nghiem, S. (2018). Technical efficiency of small and medium manufacturing firms in Vietnam: A stochastic meta-frontier analysis”. Economic Analysis and Policy, 59, 84-91.
Meeusen, W., & van Den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 18(2), 435-444.
Nguyen, K. M. (2005), Impact of technological progress on economic growth, Science and Technology Publishing House, Hanoi. (In Vietnamese)
Naceur, M. S. B., Casu, B., & Ben-Khedhiri, H. (2011). What drives the performance of selected Mena banks? A+ L4624 meta-frontier analysis (No. 11-34). International Monetary Fund.
O’Donnell, C. J., Rao, D. P., & Battese, G. E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical economics, 34(2), 231-255.
Wang, M., & Wong, M. S. (2016). Effects of foreign direct investment on firm-level technical efficiency: stochastic frontier model evidence from Chinese manufacturing firms. Atlantic Economic Journal, 44(3), 335-361.