BazEkon - Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie

BazEkon home page

Meny główne

Autor
Marzec Jerzy (Cracow University of Economics / Wydział Zarządzania), Pisulewski Andrzej (University of Agriculture in Kraków)
Tytuł
The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms
Źródło
Central European Journal of Economic Modelling and Econometrics (CEJEME), 2017, vol. 9, nr 3, s. 243-273, rys., tab., bibliogr. 93 poz.
Słowa kluczowe
Stochastyczny model graniczny, Mleczarstwo, Wspólna Polityka Rolna, Efektywność techniczna, Wnioskowanie bayesowskie, Dane panelowe
Stochastic frontier model, Dairy, Common Agricultural Policy (CAP), Technical efficiency, Bayesian inference, Panel data
Uwagi
summ.; Klasyfikacja JEL: Q12, D24, C11, C23
Abstrakt
The main aim of this paper is to analyse the effect of Common Agricultural Policy (CAP) subsidies on technical efficiency of Polish dairy farms. We have distinguished several types of subsidies and provided an analysis to find out which types are most likely to engender systematic differences in technical efficiency. A balanced panel of microeconomic data on Polish dairy farms over an eight-year period (between 2004 and 2011), taken from the Farm Accountancy Data Network (FADN), is used. The translog production function is estimated by employing the Bayesian approach. The empirical results show that the elasticity of production with respect to livestock is the highest, whereas with respect to feed is the lowest. The mean technical efficiency in the covered period is 83%. The research reveals the negative effect of subsidies on technical efficiency. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka Szkoły Głównej Handlowej
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Pełny tekst
Pokaż
Bibliografia
Pokaż
  1. Agency for Restructuring and Modernisation of Agriculture (ARMR), (2015), Available at http://www.arimr.gov.pl/ pomoc-unijna/wdrazane-programy-i-dzialania-dane-liczbowe/ zrealizowane-platnosci-obszarowe.html (last accessed 19 march 2015).
  2. Agency for Restructuring and Modernisation of Agriculture (ARMR), (2015b), Available at http://www.arimr.gov.pl/dla-beneficjenta/biblioteka/ archiwum/programy-i-dzialania-wdrozone-w-poprzednich-latach/ plan-rozwoju-obszarow-wiejskich-2004-2006.html (last accessed 19 march 2015).
  3. Agency for Restructuring and Modernisation of Agriculture (ARMR), (2015c), Available at http://www.arimr.gov.pl/dla-beneficjenta/biblioteka/ archiwum/programy-i-dzialania-wdrozone-w-poprzednich-latach/ spo-rolnictwo-2004-2006.html (last accessed 19 march, 2015).
  4. Aigner D., Lovell C., Schmidt P., 1977, Formulation and estimation of stochastic frontier production function models, Journal of Econometrics, Vol. 6, 21-37.
  5. Amsler C., Prokhorov A., Schmidt P., (2016), Endogeneity in stochastic frontier models, Journal of Econometrics, Vol. 190 (2), 280-288.
  6. Areal F. J., Tiffin R., Balcombe K. G., (2012), Provision of environmental output within a multi - output distance function approach, Ecological Economics, Vol. 78, 47-54.
  7. Bakucs L. Z., Latruffe L., Fertő I., Fogarasi J., (2010), The impact of EU accession on farms' technical efficiency in Hungary, Post-Communist Economies, Vol. 22, 165-175.
  8. Battese G.E., Broca S.S., (1997), Functional forms of stochastic frontier production functions and models for technical inefficiency effects: a comparative study for wheat farmers in Pakistan, Journal of Productivity Analysis, Vol. 8, 395-414.
  9. Battese G.E., Coelli T.J., (1992), Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India, Journal of Productivity Analysis, Vol. 3, 153-169.
  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, Vol. 20, 325-332.
  11. Bezlepkina I.V., Oude Lansink A.G.J.M., Oskam A.J., (2005), Effects of subsidies in Russian dairy farming, Agricultural Economics, Vol. 33, 277-288.
  12. Bojnec Š., Latruffe L., (2009), Determinants of technical efficiency of Slovenian farms, Post-Communist Economies, Vol. 21, 117-124.
  13. Bojnec Š., Latruffe L., (2011), Farm size and efficiency during transition: Insights from Slovenian farms, Transformations in Business & Economics, Vol. 10, 104- 116.
  14. Bojnec Š., Latruffe L., (2013), Farm size, agricultural subsidies and farm performance in Slovenia, Land Use Policy, Vol. 32, 207-217.
  15. Brada J. C., King A. E., (1993), Is private farming more efficient than socialized agriculture?, Economica (New Series), Vol. 60, 41-56.
  16. Broeck van den J., Koop G., Osiewalski J., Steel, M.F.J., (1994), Stochastic frontier models: A Bayesian perspective, Journal of Econometrics, Vol. 61, 273- 303.
  17. Brümmer B., (2001), Estimating confidence intervals for technical efficiency: the case of private farms in Slovenia, European Review of Agricultural Economics, Vol. 28, 285-306.
  18. Brümmer B., Glauben T., Thijssen G., (2002), Decomposition of productivity growth using distance function: The case of dairy farms in three European countries, American Journal of Agricultural Economics, Vol. 84, 628-644.
  19. Central Statistical Office (CSO), (2011), Agricultural Census 2010, Warsaw.
  20. Central Statistical Office (CSO), (2013a), Statistical Yearbook of Agriculture 2012, Warsaw.
  21. Central Statistical Office (CSO), (2013b), Prices in National Economy 2012, Warsaw.
  22. Central Statistical Office (CSO), (2015), Statistical Yearbook of Agriculture 2014, Warsaw.
  23. Christensen L.D, Jorgenson D., Lau L.J, (1973), Transcendental logarithmic production frontiers, The Review of Economics and Statistics, Vol. 55, 28-45.
  24. Czekaj T., (2008) Techniczna efektywność gospodarstw rolnych a skłonność do korzystania ze wsparcia inwestycji środkami publicznymi, Zagadnienia Ekonomiki Rolnej, Vol. 3 (316), 31-44.
  25. Czekaj T.G., (2013), Measuring the technical efficiency of farms producing environmental output, parametric and semiparametric estimation of multi- output stochastic ray production frontiers, IFRO Working Paper 2013/21.
  26. Das A, (2015), Copula-based stochastic frontier model with autocorrelated inefficiency, Central European Journal of Economic Modelling and Econometrics, Vol. 7, 111-126.
  27. Davidova S., Latruffe L., (2007), Relationships between technical efficiency and financial management for Czech Republic farms, Journal of Agricultural Economics, Vol. 58, 269-288.
  28. Emvalomatis G., Stefanou S.E., Lansink A.O., (2011), A reduced-form model for dynamic efficiency measurement: Application to dairy farms in Germany and the Netherlands, American Journal of Agricultural Economics, Vol. 93, 161-174.
  29. European Commission (Agriculture and Rural Development, The Common Agricultural Policy after 2013), (2014), Available at http://ec.europa.eu/agriculture/cap-post-2013/graphs/index_en.htm (last accessed 19 march, 2015).
  30. Giannakas K., Schoney R., Tzouvelekas V., (2001), Technical efficiency, technological change and output growth of wheat farms in Saskatchewan, Canadian Journal of Agricultural Economics, 49, 135-152.
  31. Gorton M., Daniłowska A., Jarka S., Straszewski S., Zawojska A., Majewski E., (2001), The international competitiveness of Polish agriculture, Post-Communist Economies, Vol. 13, 445-457.
  32. Growiec J., Pajor A., Górniak D., Prędki A., (2015), The shape of aggregate production functions: evidence from estimates of the World Technology Frontier, Bank i Kredyt, Vol. 46(4), 299-326.
  33. Hadley D., (2006), Patterns in technical efficiency and technical change at the farm-level in England and Wales, 1982 - 2002, Journal of Agricultural Economics, Vol. 57, 81-100.
  34. Iraizoz B., Bardaji I., Rapun M., (2005), The Spanish beef sector in the 1990s: Impact of the BSE crisis on efficiency and profitability, Applied Economics, Vol. 37, 473-484.
  35. Karagiannis G, Sarris A., (2005) Measuring and explaining scale efficiency with the parametric approach: the case of Greek tobacco growers, Agricultural Economics, No. 33, 441-451.
  36. Kass R. E., Raftery A.E., (1995), Bayes Factors, Journal of the American Statistical Association, Vol. 90, no. 430, 773-795.
  37. Koop G., (2003), Bayesian Econometrics, John Wiley & Sons Ltd., Chichester, West Sussex.
  38. Koop G., Osiewalski J., Steel M.F.J., (1994), Hospital efficiency analysis through individual effects: A Bayesian approach, Center for Economic Research Discussion Paper, No. 9447, Tilburg University, Tilburg.
  39. Koop G., Osiewalski J., Steel M.F.J., (1997), Bayesian efficiency analysis through individual effects: Hospital cost frontiers, Journal of Econometrics, Vol. 76, 77- 105.
  40. Koop G., Osiewalski J., Steel M.F.J., (1999), The components of output growth: A stochastic frontier analysis, Oxford Bulletin of Economics and Statistics, Vol. 61, 455-487.
  41. Koop G., Osiewalski J., Steel M.F.J., (2000), A stochastic frontier analysis of output level and growth in Poland and western economies, Economics of Planning, Vol. 33, 185-202.
  42. Kulawik J. (red.), (2008) Analiza efektywności ekonomicznej i finansowej przedsiębiorstw rolnych powstałych na bazie majątku WRSP, IERiGŻ-PIB, Warszawa.
  43. Kulawik J. (red.), (2009) Analiza efektywności ekonomicznej i finansowej przedsiębiorstw rolnych powstałych na bazie majątku WRSP, IERiGŻ-PIB, Warszawa.
  44. Kumbakhar S.C., Lovell C.A.K, 2000, Stochastic frontier analysis, Cambridge University Press.
  45. Kumbhakar S., Ghosh S., McGuckin J.T., (1991), A generalized production frontier approach for estimating determinants of inefficiency in U.S. dairy farms, Journal of Business and Economic Statistics, Vol. 9, 279-286.
  46. Kumbhakar S.C., Lien G., (2010), Impact of subsidies on farm productivity and efficiency, [in:] The Economic impact of public support to agriculture, an international perspective, [ed.:] Ball V.E., Fanfani R., Gutierrez L., Springer, New York.
  47. Latruffe L., Bakucs L. Z., Bojnec S., Ferto I., Fogarasi J., Gavrilescu J., Jelinek L., Luca L., Medonos T., Toma C., (2008), Impact of public subsidies on farms' technical efficiency in New Member States before and after EU Accession, International Congress of the European Association of Agricultural Economists, 26-29 August 2008, Ghent Belgium.
  48. Latruffe L., Balcombe K., Davidova S., (2008), Productivity change and Polish agriculture: An application of a bootstrap procedure to Malmquist indices, Post- Communist Economies, Vol. 20, 449-460.
  49. Latruffe L., Balcombe K., Davidova S., Zawalińska K., (2004), Determinants of technical efficiency of crop and livestock farms in Poland, Applied Economics, Vol. 36, 1255-1263.
  50. Latruffe L., Balcombe K., Davidova S., Zawalińska K., (2005), Technical and scale efficiency of crop and livestock farms in Poland: Does specialization matter?, Agricultural Economics, Vol. 32, 281-296.
  51. Latruffe L., Bravo-Ureta B.E., Moreira V.H., Desjeux Y., Dupraz P., (2012), Productivity and subsidies in the European Union: An analysis for dairy farms using input distance frontiers, Paper prepared for presentation at the International Association of Agricultural Economists (IAAE) Triennial Conference, (Foz do Iguaçu, Brazil, 2012).
  52. Latruffe L., Davidova S., Balcombe K., (2008), Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe, Journal of Productivity Analysis, Vol. 29, 183-191.
  53. Latruffe L., Fogarasi J., Dejeux Y., (2012), Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France, Economic Systems, Vol. 36, 264-278.
  54. Lenk P., (2009), Simulation pseudo-bias correction to the harmonic mean estimator of integrated likelihoods, Journal of Computational and Graphical Statistics, Vol. 18, 941-960.
  55. Lerman Z., (2002), Productivity and efficiency of individual farms in Poland: A case for land consolidation', Paper presented at the Annual Meeting of the American Agricultural Economics Association, 28-31 July 2001 Long Beach.
  56. Makieła K., (2014), Bayesian stochastic frontier analysis of economic growth and productivity change in the EU, USA, Japan and Switzerland, Central European Journal of Economic Modelling and Econometrics, Vol. 4, 93-216.
  57. Marquer P., (2013), Portrait of the EU milk production sector, Eurostat: Statistics in focus, Vol. 17, 1-10.
  58. Marzec J., Osiewalski J., (2008), Bayesian Inference on Technology and Cost Efficiency of Bank Branches, Bank i Kredyt, nr 9, 29-43.
  59. Marzec J., Pisulewski A., Prędki A., (2015), Efektywność techniczna gospodarstw mlecznych w Polsce - analiza porównawcza za pomocą DEA i BSFA, [in:] Metody Ilościowe w Badaniach Ekonomicznych, SGGW, Warszawa 2015, vol. XVI, nr 4, 7-23.
  60. Marzec J., Pisulewski A., (2015), Analiza działalności ekonomicznej gospodarstw mlecznych w Polsce - wyniki uzyskane na podstawie krótkookresowej funkcji kosztu, [in:] M. Bernardelli, B. Witkowski [eds.], Roczniki Kolegium Analiz Ekonomicznych 39/2015, Warszawa: SGH - Oficyna Wydawnicza, Warszawa 2015, 167-181.
  61. Mathijs E., Vranken L., (2001), Human capital, gender and organisation in transition agriculture: Measuring and explaining the technical efficiency of Bulgarian and Hungarian farms, Post-Communist Economies, Vol. 13, 171-187.
  62. McCloud N., Kumbhakar S.C., (2008), Do subsidies drive productivity? A cross- country analysis of Nordic dairy farms, [in:] Bayesian Econometrics (Advances in Econometrics), [ed.:] Chib S, Griffiths W., Koop G. and Terrell D., Vol. 23, Emerald Group Publishing Limited, 245-274.
  63. Meeusen W., van den Broeck J., (1977), Efficiency estimation from Cobb-Douglas production functions with composed error, International Economic Review, Vol. 8, 435-444.
  64. Ministry of Agriculture and Rural Development of the Republic of Poland (MARD), Program rozwoju obszarów wiejskich na lata 2007-2013, Warszawa, (2015), Available at http://www.minrol.gov.pl/content/download/29382/ 163389/version/12/file/PROW_2007-2013 marzec 2015 .pdf, (last accessed 19 march, 2015).
  65. Munroe D. K., (2001), Economic efficiency in Polish peasant farming: An international perspective, Regional Studies, Vol. 35, 461-471.
  66. Newton M. A., Raftery A.E., (1994), Approximate Bayesian inference with the weighted likelihood bootstrap, Journal of the Royal Statistical Society. Series B (Methodological), Vol. 56, No.1, 3-48.
  67. Odeck J., Bråthen S., (2012), A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models, Transportation Research Part A, Vol. 46, 1574-1585.
  68. Osiewalski J., Steel M.F.J., (1993), A Bayesian perspective on model selection, manuscript available at http://www.cyfronet.krakow.pl/$\sim$eeosiewa/ papers.htm, published in Spanish as: Una perspectiva bayesiana en selección de modelos, Cuadernos Economicos, 55(3), 327-351.
  69. Osiewalski J., Steel M.F.J., (1996), A Bayesian analysis of exogeneity in models pooling time-series and cross-sectional data, Journal of Statistical Planning and Inference, Vol. 50, 187-206.
  70. Osiewalski J., Steel M.F.J., (1998), Numerical tools for the Bayesian analysis of stochastic frontier models, Journal of Productivity Analysis, Vol. 10, 103-117.
  71. Osiewalski K., Osiewalski J., (2013), A long-run relationship between daily prices on two markets: the Bayesian VAR(2)-MSF-SBEKK model, Central European Journal of Economic Modelling and Econometrics 5, 65-83.
  72. Pajor A., (2011), A Bayesian analysis of exogeneity in models with latent variables, Central European Journal of Economic Modelling and Econometric s, Vol. 3, 49-73.
  73. Pajor A., (2016), Estimating the marginal likelihood using the arithmetic mean identity. Bayesian Analysis, Advance Publication, 4 April 2016. doi:10.1214/16- BA1001. http://projecteuclid.org/euclid.ba/1459772735.
  74. Pajor A., Osiewalski J., (2013-14), A note on Lenk's correction of the harmonic mean estimator, Central European Journal of Economic Modelling and Econometrics 5, 271-275 (2013); correction - Vol. 6, 96 (2014).
  75. Parzonko A., (2016), Rola "drobnych" gospodarstw mlecznych w paradygmacie zrównoważonego rozwoju, Problemy Drobnych Gospodarstw Rolnych, nr 2, 63-84.
  76. Raftery A. E., (1995), Bayesian model selection in social research. [in:] P. V. Marsden (ed.), Sociological methodology, Cambridge: Blackwell, 111-196.
  77. Reinhard S., Lovell C.A., Thijssen G., (1999), Estimation of technical and environmental efficiency: an application to Dutch dairy farms, American Journal of Agricultural Economics, Vol. 81, 44-60.
  78. Rezitis A., Tsiboukas K., Tsoukalas S., (2003), Investigation of factors influencing the technical efficiency of agricultural producers participating in farm credit programs: The case of Greece, Journal of Agricultural and Applied Economics, 35, 529-541.
  79. Rusielik M., Świtłyk M., (2012), Efektywność techniczna produkcji mleka w wybranych europejskich gospodarstwach w latach 2008 - 2010, Roczniki Nauk Rolniczych, Seria G, T. 99, z. 1, 88-99.
  80. Rusielik R., (2002), Pomiar efektywności produkcji mleka z wykorzystaniem metody DEA, Prace Naukowe Akademii Ekonomicznej we Wrocławiu, nr 941, t. 2, 286-292.
  81. Simar L., Wilson P.W., (2000), Statistical inference in nonparametric frontier models: the state of the art, Journal of Productivity Analysis, Vol. 13 (1), 49-78.
  82. Sipiläinen T., Kumbhakar S.C., (2010), Effects of direct payments on farm performance: The case of dairy farms in Northern EU Countries, University of Helsinki, Department of Economics and Management, Discussion Papers, No 43, Helsinki.
  83. Sipiläinen T., Kumbhakar S.C., Lien G., (2014), Performance of dairy farms in Finland and Norway from 1991 to 2008, European Review of Agricultural Economics, Vol. 41, 1-24.
  84. Świtłyk M., (2011), Efektywność polskiego rolnictwa w latach 1998-2009, Zagadnienia Ekonomiki Rolnej, nr 4, 59-5
  85. Świtłyk M., (2016), Efektywność techniczna gospodarstw mlecznych w Polsce w latach 2009-2011, Prace naukowe Uniwersytetu Ekonomicznego we Wrocławiu, nr 450, 561-569.
  86. Tonini A., Jongeneel R., (2009), The distribution of dairy farm size in Poland: a Markov approach based on information theory, Applied Economics, Vol. 41, 55-69.
  87. Xie W., Lewis O.P., Fan Y., Kuo L., Chen M-H., (2011), Improving marginal likelihood estimation for Bayesian phylogenetic model selection, Systematic Biology, 60(20), 150-160.
  88. Zellner A., Kmenta J, Dreze J., (1966), Formulation and estimation of production function models, Econometrica, Vol. 34, 784-795.
  89. Zhengfei G., Lansink A.O., (2006), The source of productivity growth in Dutch agriculture: A perspective from finance, American Journal of Agricultural Economics, no. 88(3), 644-656.
  90. Zhu X., Demeter R.M., Lansink A.O., (2012), Technical efficiency and productivity differentials of dairy farms in three EU countries: The role of CAP subsidies, Agricultural Economics Review, Vol. 13, 66-92.
  91. Zhu X., Lansink A.O., (2010), Impact of CAP subsidies on technical efficiency of crop farms in Germany, the Netherlands and Sweden, Journal of Agricultural Economics, Vol. 61, 545-564.
  92. Ziółkowska J., (2008) Efektywność techniczna w gospodarstwach wielkotowarowych, Studia i Monografie nr 140, Instytut Ekonomiki Rolnictwa i Gospodarki Żywnościowej, Warszawa.
  93. Zyl van J., Miller B.R., Parker A., (1996), Agrarian structure in Poland. The myth of large-farm superiority, Policy Research Working Paper, No 1596, The World Bank, Washington, DC.
Cytowane przez
Pokaż
ISSN
2080-0886
Język
eng
Udostępnij na Facebooku Udostępnij na Twitterze Udostępnij na Google+ Udostępnij na Pinterest Udostępnij na LinkedIn Wyślij znajomemu