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Including environmental variables in the effi ciency analysis: A three-step method/El análisis de efi ciencia con variables de entorno: un método de programas con tres etapas

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  • DIOS PALOMARES, RAFAELA

    () (Dpto. de Estadística. ETSIAM. Universidad de Córdoba.Campus de Rabanales. Edifício C2. 2ª planta, CÓRDOBA. Telf: 957218479.)

  • MARTÍNEZ PAZ, JOSÉ MIGUEL

    () (Dpto. de Economía Aplicada. Facultad de Economía y Empresa. Universidad de Murcia. Miembros del Grupo de Eficiencia y Productividad de la Universidad de Córdoba (EFIUCO).)

  • MARTÍNEZCARRASCO PLEITE, FEDERICO

    () (Dpto. de Economía Aplicada. Facultad de Economía y Empresa. Universidad de Murcia. Miembros del Grupo de Eficiencia y Productividad de la Universidad de Córdoba (EFIUCO).)

Abstract

The environmental variables infl uence must be considered in the effi ciency analysis in order to account for exogenous factors out of the managerial control. The fi rst objective of this work is to show a survey of the effi ciency frontier methods that include environmental variables. Later on, we propose a new three steps method that add a third step to the Charnes, Cooper and Rhodes (1981) program method, in order to include categorical variables defi ning different groups. Finally, and as example, this new effi ciency analysis method is applied, to the vegetable preserves industry in Murcia Region (Spain). The results demonstrate that fi rms belonging to the Technological Centre have a higher frontier than the other fi rms, having being this fact considered as a categorical environmental variable. Los análisis de la eficiencia aplicando técnicas econométricas o de programación matemática debieran tener presente la infl uencia que en cada empresa tienen variables externas al proceso de producción, y por ello fuera del control de cada unidad empresarial. En el presente trabajo se realiza una revisión de los métodos de análisis de efi ciencia mediante frontera (técnica y económica) que tienen en consideración las variables de entorno o ambientales. A continuación se propone un nuevo método de tres etapas, ampliando el propuesto por Charnes, Cooper y Rhodes (1981) para la inclusión en los análisis efi ciencia de variables de entorno de carácter categórico. Finalmente, y básicamente a modo de ejemplo del método propuesto, se aplica el método al análisis de efi ciencia de la industria de conservas vegetales de la Región de Murcia, deduciéndose y corrigiéndose el efecto que sobre la efi ciencia estimada de cada unidad tiene la pertenencia al Centro Tecnológico del sector.

Suggested Citation

  • Dios Palomares, Rafaela & Martínez Paz, José Miguel & Martínezcarrasco Pleite, Federico, 2006. "Including environmental variables in the effi ciency analysis: A three-step method/El análisis de efi ciencia con variables de entorno: un método de programas con tres etapas," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 24, pages 477-497, Abril.
  • Handle: RePEc:lrk:eeaart:24_1_16
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    References listed on IDEAS

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    1. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    2. Obstfeld, Maurice, 1994. "Evaluating risky consumption paths: The role of intertemporal substitutability," European Economic Review, Elsevier, vol. 38(7), pages 1471-1486, August.
    3. Hodrick, Robert J. & Srivastava, Sanjay, 1986. "The covariation of risk premiums and expected future spot exchange rates," Journal of International Money and Finance, Elsevier, vol. 5(1, Supple), pages 5-21, March.
    4. Hodrick, Robert J., 1989. "Risk, uncertainty, and exchange rates," Journal of Monetary Economics, Elsevier, vol. 23(3), pages 433-459, May.
    5. Engel, Charles, 1992. "On the foreign exchange risk premium in a general equilibrium model," Journal of International Economics, Elsevier, vol. 32(3-4), pages 305-319, May.
    6. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    7. Hu, Xiaoqiang, 1997. "Macroeconomic uncertainty and the risk premium in the foreign exchange market1," Journal of International Money and Finance, Elsevier, vol. 16(5), pages 699-718, September.
    8. Ayuso, Juan & Dolado, Juan J. & Sosvilla-Rivero, Simón, 1992. "Efficiency in the Peseta Forward Exchange Rate Market," CEPR Discussion Papers 627, C.E.P.R. Discussion Papers.
    9. Lucas, Robert Jr., 1982. "Interest rates and currency prices in a two-country world," Journal of Monetary Economics, Elsevier, vol. 10(3), pages 335-359.
    10. Bekaert, Geert, 1996. "The Time Variation of Risk and Return in Foreign Exchange Markets: A General Equilibrium Perspective," Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 427-470.
    11. Sibert, Anne, 1996. "Unconventional preferences: do they explain foreign exchange risk premia?," Journal of International Money and Finance, Elsevier, vol. 15(1), pages 149-165, February.
    12. Cole, Harold L. & Obstfeld, Maurice, 1991. "Commodity trade and international risk sharing : How much do financial markets matter?," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 3-24, August.
    13. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia, 2005. "Empirical exchange rate models of the nineties: Are any fit to survive?," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1150-1175, November.
    14. Tiff Macklem, R., 1991. "Forward exchange rates and risk premiums in artificial economies," Journal of International Money and Finance, Elsevier, vol. 10(3), pages 365-391, September.
    15. Obstfeld, Maurice & Rogoff, Kenneth, 1995. "Exchange Rate Dynamics Redux," Journal of Political Economy, University of Chicago Press, vol. 103(3), pages 624-660, June.
    16. Constantinides, George M, 1990. "Habit Formation: A Resolution of the Equity Premium Puzzle," Journal of Political Economy, University of Chicago Press, vol. 98(3), pages 519-543, June.
    17. Bajo-Rubio, Oscar & Sosvilla-Rivero, Simon & Fernandez-Rodriguez, Fernando, 2001. "Asymmetry in the EMS: New evidence based on non-linear forecasts," European Economic Review, Elsevier, vol. 45(3), pages 451-473, March.
    18. Tesar, Linda L., 1995. "Evaluating the gains from international risksharing," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 42(1), pages 95-143, June.
    19. F. FernAndez-RodrIguez & S. Sosvilla-Rivero & J. Andrada-FElix, 2003. "Technical analysis in foreign exchange markets: evidence from the EMS," Applied Financial Economics, Taylor & Francis Journals, vol. 13(2), pages 113-122.
    20. Bekaert, Geert, 1994. "Exchange rate volatility and deviations from unbiasedness in a cash-in-advance model," Journal of International Economics, Elsevier, vol. 36(1-2), pages 29-52, February.
    21. Moore, Michael J. & Roche, Maurice J., 2002. "Less of a puzzle: a new look at the forward forex market," Journal of International Economics, Elsevier, vol. 58(2), pages 387-411, December.
    22. Fama, Eugene F., 1984. "Forward and spot exchange rates," Journal of Monetary Economics, Elsevier, vol. 14(3), pages 319-338, November.
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    Keywords

    Efficiency; Environmental variables; DEA/EfiCiencia; Variables de entorno; DEA.;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

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