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Adjustment Costs And Efficiency In Polish Agriculture: A Dynamic Efficiency Approach

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  • Rungsuriyawiboon, Supawat
  • Hockmann, Heinrich

Abstract

This paper aims to understand the state of adjustment process and dynamic structure in Polish agriculture. A dynamic cost frontier model using the shadow cost approach is formulated to decompose cost efficiency into allocative and technical efficiencies. The dynamic cost efficiency model is developed into a more general context with a multiple quasi-fixed factor case. The model is implemented empirically using a panel data set of 1,143 Polish farms over the period 2004 to 2007. Due to the regional disparities and a wide variety of farm specialization, farms are categorized into two regions and five types of farm production specialization. The estimation results confirm our observation that adjustment is rather sluggish implying that adjustment cost are considerably high. It takes up to 30 years until Polish farmers reach their optimal level of capital and land input. Allocative and technical efficiency differ widely across regions. Moreover, efficiency is rather stable over time and among farm specialisations. However, their results indicate that the regions characterized by the larger farms perform slightly better.

Suggested Citation

  • Rungsuriyawiboon, Supawat & Hockmann, Heinrich, 2012. "Adjustment Costs And Efficiency In Polish Agriculture: A Dynamic Efficiency Approach," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126737, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae12:126737
    DOI: 10.22004/ag.econ.126737
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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Teresa Serra & Spiro Stefanou & José M. Gil & Allen Featherstone, 2009. "Investment rigidity and policy measures," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 103-120, March.
    3. Manera, Matteo, 1994. "Factor demands and substitution in the Italian manufacturing sector: a dynamic duality model," Ricerche Economiche, Elsevier, vol. 48(2), pages 141-163, June.
    4. Martin Petrick, 2004. "A microeconometric analysis of credit rationing in the Polish farm sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(1), pages 77-101, March.
    5. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    6. Rungsuriyawiboon, Supawat & Stefanou, Spiro E., 2007. "Dynamic Efficiency Estimation: An Application to U.S. Electric Utilities," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 226-238, April.
    7. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    8. Elvira Silva & Spiro E. Stefanou, 2007. "Dynamic Efficiency Measurement: Theory and Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 398-419.
    9. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2005. "Technical and scale efficiency of crop and livestock farms in Poland : does specialization matte r?," Post-Print hal-02392195, HAL.
    10. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    11. Huettel, Silke & Narayana, Rashmi & Odening, Martin, 2011. "Measuring dynamic efficiency under uncertainty," Structural Change in Agriculture/Strukturwandel im Agrarsektor (SiAg) Working Papers 129062, Humboldt University Berlin, Department of Agricultural Economics.
    12. J. Fernandez-Cornejo & C. M. Gempesaw II & J. G. Elterich & S. E. Stefanou, 1992. "Dynamic Measures of Scope and Scale Economies: An Application to German Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 329-342.
    13. Grigorios Emvalomatis & Spiro E. Stefanou & Alfons Oude Lansink, 2010. "A Reduced-Form Model for Dynamic Efficiency Measurement: Application to Dairy Farms in Germany and The Netherlands," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 161-174.
    14. Kyösti S. Pietola & Robert J. Myers, 2000. "Investment under Uncertainty and Dynamic Adjustment in the Finnish Pork Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 956-967.
    15. repec:zbw:iamodp:91733 is not listed on IDEAS
    16. Hockmann, Heinrich & Pieniadz, Agata & Goraj, Lech, 2007. "Modeling Heterogeneity In Production Models: Empirical Evidence From Individual Farming In Poland," IAMO Discussion Papers 91733, Institute of Agricultural Development in Transition Economies (IAMO).
    17. Jiro Nemoto & Mika Goto, 2003. "Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 191-210, April.
    18. Elvira Silva & Spiro Stefanou, 2003. "Nonparametric Dynamic Production Analysis and the Theory of Cost," Journal of Productivity Analysis, Springer, vol. 19(1), pages 5-32, January.
    19. Hockmann, Heinrich & Pieniadz, Agata, 2009. "Explaining differences in farms efficiencies in Polish agriculture," 2009 Conference, August 16-22, 2009, Beijing, China 51051, International Association of Agricultural Economists.
    20. Csaki, Csaba & Lerman, Zvi, 2001. "Land And Farm Structure In Poland," Discussion Papers 14998, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
    21. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    22. Epstein, Larry G & Denny, Michael G S, 1983. "The Multivariate Flexible Accelerator Model: Its Empirical Restrictions and an Application to U.S. Manufacturing," Econometrica, Econometric Society, vol. 51(3), pages 647-674, May.
    23. Yir-Hueih Luh & Spiro E. Stefanou, 1996. "Estimating Dynamic Dual Models under Nonstatic Expectations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 991-1003.
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    Cited by:

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    3. Alem, Habtamu, 2020. "Performance of the Norwegian dairy farms: A dynamic stochastic approach," Research in Economics, Elsevier, vol. 74(3), pages 263-271.

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    More about this item

    Keywords

    Agribusiness; Research and Development/Tech Change/Emerging Technologies;

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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