IDEAS home Printed from https://ideas.repec.org/a/ags/roaaec/196638.html
   My bibliography  Save this article

What Is Behind Biased Technical Change In Production Of Cereal And Oilseed Crops In Slovakia?

Author

Listed:
  • FANDEL, Peter

Abstract

This study investigates the productivity change in the production of cereal and oilseed crops in Slovakia with special emphasis on technical change analysis. It employs a non-parametric distance function approach to measure Malmquist productivity index which is decomposed into technical efficiency change and technical change. Technical change is further decomposed into technical change magnitude and input- and output-bias indices. The productivity change components provide more detailed information about character of productivity change itself and its sources. Our results indicate that productivity in the analysed sector decreased approximately by 20% within the examined period of 1998-2007. The decrease was caused mostly by worsening the technical change (-41,6%). Indices of input- and output bias of technical change were various from unity what suggests that technical change was not Hicks’- neutral. Results of further analysis of the direction of technical change bias indicate that farms in average tend to apply fertilizers-using/seed-saving, seed-using/labour-saving, and fertilizers-using/labour-saving technical change bias over the whole sample period, as well as in the EU pre-accession and EU post-accession periods.

Suggested Citation

  • FANDEL, Peter, 2014. "What Is Behind Biased Technical Change In Production Of Cereal And Oilseed Crops In Slovakia?," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 17(2), pages 1-7, September.
    • Handle: RePEc:ags:roaaec:196638
    DOI: 10.22004/ag.econ.196638
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/196638/files/RAAE_02_2014_Fandel.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.196638?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Fogarasi, Jozsef & Latruffe, Laure, 2009. "Farm performance and support in Central and Western Europe: a comparison of Hungary and France," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51053, Agricultural Economics Society.
    2. Rolf Färe & Emili Grifell‐Tatjé & Shawna Grosskopf & C. A. Knox Lovell, 1997. "Biased Technical Change and the Malmquist Productivity Index," Scandinavian Journal of Economics, Wiley Blackwell, vol. 99(1), pages 119-127, March.
    3. Shunxiang Wu & David Walker & Stephen Devadoss & Yao‐chi Lu, 2001. "Productivity Growth and its Components in Chinese Agriculture after Reforms," Review of Development Economics, Wiley Blackwell, vol. 5(3), pages 375-391, October.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    5. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2012. "Productivity and Subsidies in the European Union: An Analysis for Dairy Farms Using Input Distance Frontiers," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126846, International Association of Agricultural Economists.
    6. C. Lovell, 2003. "The Decomposition of Malmquist Productivity Indexes," Journal of Productivity Analysis, Springer, vol. 20(3), pages 437-458, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Santos, Sérgio P. & São José, José M.S., 2018. "Measuring and decomposing the gender pay gap: A new frontier approachAuthor-Name: Amado, Carla A.F," European Journal of Operational Research, Elsevier, vol. 271(1), pages 357-373.
    2. Zbranek, Peter & Fandel, Peter, 2015. "Development of productivity and its components in Slovak agriculture before and after EU accession: Analysis of the impact of CAP introduction on the performance indicators of Slovak crop and livestoc," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207353, Italian Association of Agricultural and Applied Economics (AIEAA).
    3. Christos Pantzios & Giannis Karagiannis & Vangelis Tzouvelekas, 2011. "Parametric decomposition of the input-oriented Malmquist productivity index: with an application to Greek aquaculture," Journal of Productivity Analysis, Springer, vol. 36(1), pages 21-31, August.
    4. Karagiannis, Giannis & Knox Lovell, C.A., 2016. "Productivity measurement in radial DEA models with a single constant input," European Journal of Operational Research, Elsevier, vol. 251(1), pages 323-328.
    5. Xie, Bai-Chen & Ni, Kang-Kang & O'Neill, Eoghan & Li, Hong-Zhou, 2021. "The scale effect in China's power grid sector from the perspective of malmquist total factor productivity analysis," Utilities Policy, Elsevier, vol. 69(C).
    6. Vincent M. Otto & Timo Kuosmanen & Ekko C. van Ierland, 2006. "Estimating Feedback Effect in Technical Change: A Frontier Approach," Working Papers 2006.27, Fondazione Eni Enrico Mattei.
    7. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    8. Byeong U. Park & Léopold Simar & Valentin Zelenyuk, 2013. "Non-Parametric Approach to Dynamic Time Series Discrete Choice Models," CEPA Working Papers Series WP092013, School of Economics, University of Queensland, Australia.
    9. Arocena, Pablo & Saal, David S. & Urakami, Takuya & Zschille, Michael, 2020. "Measuring and decomposing productivity change in the presence of mergers," European Journal of Operational Research, Elsevier, vol. 282(1), pages 319-333.
    10. Cuadras-Morató, Xavier & Castro, Ángel S. Fernández & Rosés, Joan R., 2002. "Productividad, competencia e innovación en la banca privada española (1900–1914)," Revista de Historia Económica / Journal of Iberian and Latin American Economic History, Cambridge University Press, vol. 20(3), pages 543-575, December.
    11. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    12. Laure Latruffe & Yann Desjeux, 2016. "Common Agricultural Policy support, technical efficiencyand productivity change in French agriculture," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 97(1), pages 15-28.
    13. José M. Cordero & Agustín García-García & Enrique Lau-Cortés & Cristina Polo, 2021. "Efficiency and Productivity Change of Public Hospitals in Panama: Do Management Schemes Matter?," IJERPH, MDPI, vol. 18(16), pages 1-21, August.
    14. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.
    15. Eric Njuki & Boris E Bravo-Ureta & Christopher J O’Donnell, 2018. "A new look at the decomposition of agricultural productivity growth incorporating weather effects," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    16. Miguel SARMIENTOO & Andrés CEPEDA & Hernando MUTIS & Juan F. PÉREZ, 2013. "Nueva Evidencia sobre la Eficiencia de la Banca," Archivos de Economía 10705, Departamento Nacional de Planeación.
    17. Chen, Xiaoqing & Liu, Xinwang & Zhu, Qingyuan, 2022. "Comparative analysis of total factor productivity in China's high-tech industries," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    18. Bos, J.W.B. & van Santen, P.C. & Schilp, P., 2013. "The importance of reallocation for productivity growth: Evidence from European and US banking," Research Memorandum 056, Maastricht University, Graduate School of Business and Economics (GSBE).
    19. Pastor, Jesus T. & Lovell, C.A. Knox & Aparicio, Juan, 2020. "Defining a new graph inefficiency measure for the proportional directional distance function and introducing a new Malmquist productivity index," European Journal of Operational Research, Elsevier, vol. 281(1), pages 222-230.
    20. Yu Mao & Yonglin Li & Deyi Xu & Yaqi Wu & Jinhua Cheng, 2022. "Spatial-Temporal Evolution of Total Factor Productivity in Logistics Industry of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 14(5), pages 1-16, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:roaaec:196638. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/feuagsk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.