Total factor productivity and its components for sheep and goat farms in 37 Southern European regions (2004-2012)

  1. Cristina Hidalgo González 1
  2. Mª Pilar Rodríguez Fernández 1
  1. 1 Universidad de León
    info

    Universidad de León

    León, España

    ROR https://ror.org/02tzt0b78

Revista:
Economía agraria y recursos naturales

ISSN: 1578-0732 2174-7350

Año de publicación: 2017

Volumen: 17

Número: 2

Páginas: 5-27

Tipo: Artículo

Otras publicaciones en: Economía agraria y recursos naturales

Resumen

The decline of Southern Europe’s traditional sheep- and goat-farming systems creates a need for studies on the economic determinants that underlie their production processes. Using data from the FADN, we built a panel of 37 regions from 5 countries over an 8-year period (2004–2012). A Cobb-Douglas was specified and a stochastic frontier production was estimated. Total Factor Productivity (TFP) and its components were calculated. The farms have had sustained, positive development of TFP since 2008, with a significant correlation with the labour factor of production. We detected moderate technical progress change, which was accompanied by decreasing efficiency.

Referencias bibliográficas

  • Aigner, D., Lovell, C.A.K. & Schmidt, P. (1977). "Formulation and estimation of stochastic frontier production function models". Journal of Econometrics, 6(1), 21-37. https://doi.org/10.1016/0304-4076(77)90052-5
  • Aldaz, N. & Millán, J.A. (1996). "Comparación de medidas de productividad total de los factores en las agriculturas de las comunidades autónomas españolas". Revista Española de Economía Agraria, 178, 73-114
  • álvarez, A. & Orea, L. (2003). "Descomposición del crecimiento de la productividad. una aplicación a las regiones españolas". XXIX Reunión de Estudios Regionales. Santander, 1-17
  • Araujo, J. & Feitosa, D. (2014). "América Latina: productividad total de los factores y su descomposición". Revista de la CEPAL, 114, 53-69. http://hdl.handle. net/11362/37436
  • Battese, G.E. & Coelli, T.J. (1992). "Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India". In Gulledge, T. & Knox Lovell, C.A. (Eds.): International Applications of Productivity and Efficiency Analysis, 149-165. Netherlands: Springer. https://doi.org/10.1007/978-94-017-1923-0_10
  • Battese, G.E. & Coelli, T.J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325-332. https://doi.org/10.1007/BF01205442
  • Coelli, T.J., & Rao, D.S. (2005). "Total factor productivity growth in agriculture: A Malmquist index analysis of 93 countries, 1980-2000". Agricultural Economics, 32(s1), 115-134. http://dx.doi.org/10.1111/j.0169-5150.2004.00018.x
  • El Aich, A., Landau, S., Napoleone, M. & Borbouze, A. (1995). "Goat production systems in the Mediterranean: A comparative study". In El Aich, A., Landau, S., Borbouze, A., Rubino, R. & Morand-Fehr, P. (Eds.): Goat Production Systems in the Mediterranean, vol. 71. EAAP Publication, Wageningen: Wageningen Press 222-237
  • European Commission. (2015). The Farm Accountancy Data Network (FADN) [WWW Document]. Standard Results Database. URL http://ec.europa.eu/agriculture/rica/
  • Expósito, P. & Rodríguez, X.A. (2002). "Evolución de la producción en el sector agrario español, 1970-95". Estudios Económicos Regionales y Sectoriales. AEEADE. 2(1), 7-41
  • Ezcurra, R., Iráizoz, B., Pascual, P. & Rapún, M. (2011). "Agricultural productivity in the European regions: Trends and explanatory factors". European Urban and Regional Studies, 18(2), 113-135. https://doi.org/10.1177/0969776410381037
  • FAO (Organización de las Naciones Unidas para la alimentación y la agricultura). (2015). El estado mundial de la agricultura y la alimentación 2014. Roma
  • Fried, H.O., Lovell, C.K. & Schmidt, S.S. (Eds.). (2008). The measurement of productive efficiency and productivity growth. Oxford: Oxford University Press. DOI:10.1093/acprof:oso/9780195183528.001.0001
  • Fuglie, K.O. (2010). "Total factor productivity in the global agricultural economy: Evidence from FAO data". In Alston, J.M., Babcock, B.A. & Pardey, P.G. (Eds): The Shifting Patterns of Agricultural Production and Productivity Worldwide. Iowa State University, The Midwest Agribusiness Trade Research and Information Center (MATRIC), 63-95
  • Greene, W.H. (1990). "A gamma-distributed stochastic frontier model". Journal of Econometrics, 46(1-2), 141-163. https://doi.org/10.1016/0304-4076(90)90052-U
  • Hadjigeorgiou, I., Vallerand, F., Tsimpoukas, K. & Zervas, G. (2002). "The socioeconomics of sheep and goat farming in Greece and the implications for future rural development". Options Méditerranéennes, Series B, 39, 83-93
  • Haniotis, T. (2013). "Agricultural productivity: Introductory comments 2013". International Agricultural Trade Research Consortium. Proceedings Issues 2013: Productivity and Its Impacts on Global Trade. Sevilla, 24-25. https://EconPapers. repec.org/RePEc:ags:iatr13:152333
  • Hidalgo, C., Rodríguez, M.P. & álvarez, R. (2011). "La productividad del capital del ovino español 1997-2005. Un análisis mediante la función Cobb-Douglas". Libro de Actas XXXVI Congreso Nacional de La Sociedad Española de Ovinotecnia y Caprinotecnia. Sociedad Española de Ovinotecnia y Caprinotecnia. San Sebastián, 235-239
  • Johnson, D.G. (1997). "Agriculture and the Wealth of Nations". The American Economic Review, 87(2), 1-12. http://0-search.proquest.com.catoute.unileon.es/docvi ew/233042800?accountid=17214
  • Karagiannis, G. & Tzouvelekas, V. (2005). "Explaining output growth with a heteroscedastic non-neutral production frontier: The case of sheep farms in Greece". European Review of Agricultural Economics, 32(1), 51-74. https://doi. org/10.1093/erae/jbi004
  • Kodde, D.A. & Palm, F.C. (1986). "Wald criteria for jointly testing equality and inequality restrictions". Econometrica: Journal of the Econometric Society, 54(5), 1243-1248. https://doi.org/10.2307/1912331
  • Kumbhakar, S.C., Denny, M. & Fuss, M. (2000). "Estimation and decomposition of productivity change when production is not efficient: A paneldata approach". Econometric Reviews, 19(4), 312-320. https://doi. org/10.1080/07474930008800481
  • Kumbhakar, S.C. & Lovell, C.K. (2003). Stochastic frontier analysis. Cambridge: Cambridge University Press
  • Loaiza Quintero, O. & Franco Vásquez, L.Y. (2013). Un estudio acerca de los determinantes de la productividad y la ineficiencia técnica en la industria colombiana, 1992-2007. Munich: University Library of Munich. https://mpra.ub.unimuenchen. de/id/eprint/47736
  • Meeusen, W. & van Den Broeck, J. (1977). "Efficiency estimation from Cobb-Douglas production functions with composed error". International Economic Review, 18(2), 435-444. https://doi.org/10.2307/2525757
  • Sauer, J. & Latacz-Lohmann, U. (2015). "Investment, technical change and efficiency: Empirical evidence from German dairy production". European Review of Agricultural Economics, 42(1), 151-175. https://doi.org/10.1093/erae/jbu015
  • Schultz, T.W. (1964). Transforming traditional agriculture. New Haven: Yale University Press
  • Schultz, T.W. (1965). Economic crises in world agriculture. Ann Arbor. Univ. Michigan Press
  • Stevenson, R. E. (1980). "Likelihood functions for generalized stochastic frontier estimation". Journal of Econometrics, 13(1), 57-66. https://doi.org/10.1016/0304-4076(80)90042-1
  • Tiberio, M.L. & Diniz, F. (2014). "Sheep and Goat Production in Portugal: A Dynamic View". Modern Economy, 5(6), 703-722. https://doi.org/10.4236/me.2014.56066
  • Trillo, D. (2002). "Análisis económico y eficiencia del sector público". Presented to VII Congreso Internacional del CLAD sobre la Reforma del Estado y de la Administración Pública, Lisboa. 8-11