Rivera Rivera, Edward Bernard Bastiaan and Costantin, Paulo Dutra (2007): PRODUTIVIDADE TOTAL DOS FATORES NAS PRINCIPAIS LAVOURAS DE GRÃOS BRASILEIRAS: ANÁLISE DE FRONTEIRA ESTOCÁSTICA E ÍNDICE DE MALMQUIST. Published in: XXXV Encontro Nacional de Economia - ANPEC (7 December 2007)
Preview |
PDF
MPRA_paper_5890.pdf Download (193kB) | Preview |
Abstract
The objective of this paper is to use the techniques of Stochastic Frontier Analysis (SFA) to estimate the increase or decrease of inefficiencies through time, as well as the linear programming procedure Data Envelopment Analysis (DEA) and the Malmquist index in order to analyze the sources of changes in TFP in the main Brazilian grain crops – rice, beans, maize, soybeans and wheat – throughout the period 2001-2006. The results indicate that, although there have been positive changes in TFP for the sample analyzed, a decline in the use of technology has been evidenced for all the main Brazilian grain crops between 2005/2006 – period in which we observe a remarkable downfall in the use of inputs in Brazilian agriculture.
Item Type: | MPRA Paper |
---|---|
Original Title: | PRODUTIVIDADE TOTAL DOS FATORES NAS PRINCIPAIS LAVOURAS DE GRÃOS BRASILEIRAS: ANÁLISE DE FRONTEIRA ESTOCÁSTICA E ÍNDICE DE MALMQUIST |
Language: | Portuguese |
Keywords: | Agriculture, Total Factor Productivity, Stochastic Frontier, Data Envelopment Analysis |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q16 - R&D ; Agricultural Technology ; Biofuels ; Agricultural Extension Services C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity |
Item ID: | 5890 |
Depositing User: | Edward Rivera Rivera |
Date Deposited: | 24 Nov 2007 19:56 |
Last Modified: | 26 Sep 2019 15:05 |
References: | Afriat, S. N., "Efficiency Estimation of Production Functions," International Economic Review, XI11 (1972), 568-98. Aigner, D. J. and S. F. Chu (1968). “Estimating the Industry Production Function”, American Economic Review 58, 826-39. Aigner, D., C. A. K. Lovell, and P. Schmidt. (1977). “Formulation and Estimation of Stochastic Frontier Production Function Models.” Journal of Econometrics 6, 21–37. Alam, I. M. S., 2001. A Non-Parametric Approach for Assessing Productivity Dynamics of Large Banks. Journal of Money, Credit and Banking, 33, 121 – 139. Battese, G., Coelli, T. (1992), “Frontier production functions, technical efficiency and panel data with application to paddy farmers in India” in Journal of Productivity Analysis, Vol. 3, pp. 153-169. Battese, G., Coelli, T. (1995), “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data” in Empirical Economics, Vol. 20, pp. 325-332. Boles. J. N. "Efficiency Squared-Efficient Computation of Efficiency Indexes."Proc. Thirty-ninth Ann. Meeting, Western Farm Econ. Assoc. (1966). Bressler, R. G. "The Measurement of Productive Efficiency." Proc. Thirty-ninth Ann. Meeting, Western Farm Econ. Assoc. (1966). Caves, Douglas W.; Laurits R. Christensen; and W. Erwin Diewert (1982), "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity, Econometrica 50: 1393-1414. Charnes, A.; Cooper, W. W.; Rhodes, E. Measuring the efficiency of decision making units. European Journal of Operational Research, v. 2, n. 6, p. 429-444, 1978. Coelli, Tim J. and Rao, D. S. Prasada (2003) Total Factor Productivity Growth in Agriculture: A Malmquist Index Analysis of 93 Countries, 1980-2000. Working Paper no. 02/2003, Centre for Efficiency and Productivity Analysis, School of Economics, The University of Queensland. Cornwell, C., P. Schmidt, and R. Sickles. (1990). “Production Frontiers with Cross-Sectional and Time- Series Variation in Efficiency Levels.” Journal of Econometrics 46, 185–200. Debreu, G. The coefficient of resource utilization. Econometrica, 19, p. 273-292, 1951. Duffy, J.; Papageorgiou, C. A cross-country empirical investigation of the aggregate production function specification. Journal of Economic Growth, 5, p. 87-120, 2000. Färe, R., S. Grosskopf, M. Norris and Z. Zhang (1994), “Productivity Growth, Technical Progress and Efficiency Changes in Industrialized Countries, American Economic Review, 84, 66-83. Farrell, M. J.; The measurement of productive efficiency. Journal of the Royal Statistical Society, Series A, Part 3, p. 253-290, 1957. Greene, W. H., "Maximum Likelihood Estimation of Econometric Frontier Functions," Journal of Econometrics, XI11 (1980), 27-56. IBGE (Instituto Brasileiro de Geografia e Estatística). Levantamento Sistemático da Produção Agrícola. Rio de Janeiro v.18 n.01 p.1-76. jan.2007. IPEA (Instituto de Pesquisa Econômica Aplicada). Boletim de Conjuntura, n. 71, dez. 2005. IPEA (Instituto de Pesquisa Econômica Aplicada). Boletim de Conjuntura, n. 73, jun. 2006. IPEA (Instituto de Pesquisa Econômica Aplicada). Boletim de Conjuntura, n. 74, set. 2006a. IPEA (Instituto de Pesquisa Econômica Aplicada). Boletim de Conjuntura, n. 76, mar. 2007. Jondrow, J., C. A. K. Lovell, I. Materov, and P. Schmidt. (1982). “On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Model.” Journal of Econometrics 19, 233–238. Koopmans, T. C. An analysis of production as an efficient combination of activities. In: Koopmans, T. C. (Ed.). Activity analysis of production and allocation. Wiley, New York: Cowles Commission for Research in Economics, Monograph, n. 13, 1951. Kneller, R.; Stevens, P. A. The specification of the aggregate production function in the presence of inefficiency. Economic Letters, 81, p. 223-226, 2003. Kopp, R. J; Diewert, W. E. The decomposition of frontier cost function deviations into measures of technical and allocative efficiency. Journal of Econometrics, v. 19, p. 319 – 331, 1982. Kumbhakar, S. C. (1990). “Production Frontiers, Panel Data and Time-Varying Technical Inefficiency.” Journal of Econometrics 46, 201–211. Lee, L.F. 1983. A test for Distributional Assumptions for the Stochastic Frontier Functions. J. of Econometrics. 22:245-268. Meeusen, W., and J. van den Broeck. (1977). “Efficiency Estimation from Cobb–Douglas Production Functions with Composed Error.” International Economic Review 18, 435–444. Pitt, M. M., and L. F. Lee. (1981). “Measurement and Sources of Technical Inefficiency in the Indonesian Weaving Industry.” Journal of Development Economics 9, 43–64. Richmond, J. “Estimating the Efficiency of Production”, International Economic Review, XV (June 1974), 515-21. Schmidt, P. and Lovell, C.A.K. (1979). Estimating Technical and Allocative Inefficiency Relative to Stochastic Production and Cost Frontiers. Journal of Econometrics, vol. 9, pp. 343-366. North-Holland. Schmidt, P., and R. Sickles. (1984). “Production Frontiers and Panel Data.” Journal of Business & Economic Statistics 2(4), 367–74. Seitz. W. D. "Efficiency Measures for Steam-Electric Generating Plants." Proc. Thirty-ninth Ann. Meeting, Western Farm Econ. Assoc. (1966). Seitz, W. D., "Productive Efficiency in the Steam-Electric Generating Industry," Journal of Political Economy, LXXIX (1971), 878-86. Shepard, R. W. 1953, Cost and Production Functions, Princeton University Press. Sitorus. B. L. "Productive Efficiency and Redundant Factors of Production in Traditional Agriculture of Underdeveloped Countries." Proc. Thirty-ninth Ann. Meeting, Western Farm Econ. Assoc. (1966). Stevenson, R.E. (1980). Likelihood Functions for Generalized Stochastic Frontier Estimation. Journal of Econometrics, vol. 13, pp. 57-66. North-Holland. Timmer, C. P., "Using a Probabilistic Frontier Production Function to Measure Technical Efficiency," Journal of Political Economy, LXXIX (1971), 776-94. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/5890 |