IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v290y2021i2p701-717.html
   My bibliography  Save this article

The effect of farm genetics expenses on dynamic productivity growth

Author

Listed:
  • Ali, Beshir M.
  • de Mey, Yann
  • Oude Lansink, Alfons G.J.M.

Abstract

Genetic improvement of animals has been an important source of productivity growth in dairy farming. Studying the effect of genetic progress on productivity growth of farms requires a long-term dynamic perspective due to the long generation interval of dairy animals, and the slow, persistent and cumulative effects of genetics. It is also essential from a farm decision-making perspective to disentangle overall productivity growth in relation to each variable input and investment in quasi-fixed input while accounting for adjustment costs associated with the slow changes in quasi-fixed inputs. This paper contributes to the literature by combining input- and investment-specific dynamic productivity growth analysis with impulse response analysis. The application focuses on panel data of Dutch specialized dairy farms over 2007–2013. The results show that farms that adopt improved genetic materials, as proxied by farm expenses on artificial insemination and breeding stock investment spike, achieved higher input- and investment-specific productivity growth in the first two years after the year of the expenses/spike. That is, farms that produce more efficiently after adopting quality genetics are also those farms that utilise their resources efficiently. The positive relationships suggest a potential positive spill-over effect from using high quality genetics on managerial efficiencies.

Suggested Citation

  • Ali, Beshir M. & de Mey, Yann & Oude Lansink, Alfons G.J.M., 2021. "The effect of farm genetics expenses on dynamic productivity growth," European Journal of Operational Research, Elsevier, vol. 290(2), pages 701-717.
  • Handle: RePEc:eee:ejores:v:290:y:2021:i:2:p:701-717
    DOI: 10.1016/j.ejor.2020.08.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221720307438
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2020.08.030?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Skevas, Ioannis & Emvalomatis, Grigorios & Brümmer, Bernhard, 2018. "Productivity growth measurement and decomposition under a dynamic inefficiency specification: The case of German dairy farms," European Journal of Operational Research, Elsevier, vol. 271(1), pages 250-261.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Jovanovic, Boyan & Nyarko, Yaw, 1996. "Learning by Doing and the Choice of Technology," Econometrica, Econometric Society, vol. 64(6), pages 1299-1310, November.
    4. Leopold Simar & Valentin Zelenyuk, 2006. "On Testing Equality of Distributions of Technical Efficiency Scores," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 497-522.
    5. David Roibas & Antonio Alvarez, 2012. "The contribution of genetics to milk composition: evidence from Spain," Agricultural Economics, International Association of Agricultural Economists, vol. 43(2), pages 133-141, March.
    6. Alfred A. Haug & Christie Smith, 2012. "Local Linear Impulse Responses for a Small Open Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(3), pages 470-492, June.
    7. Newey, Whitney K & West, Kenneth D, 1987. "Hypothesis Testing with Efficient Method of Moments Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 777-787, October.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro, 2012. "Analysis of static and dynamic productivity growth in the Spanish meat processing industry," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 12(27), pages 1-13, September.
    10. Bernal-Verdugo, Lorenzo E. & Furceri, Davide & Guillaume, Dominique, 2013. "Banking crises, labor reforms, and unemployment," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1202-1219.
    11. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2015. "Analyzing the impact of investment spikes on dynamic productivity growth," Omega, Elsevier, vol. 54(C), pages 116-124.
    12. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "The impact of the 2008 financial crisis on dynamic productivity growth of the Spanish food manufacturing industry. An impulse response analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 48(5), pages 561-571, September.
    13. Coen N. Teulings & Nikolay Zubanov, 2014. "Is Economic Recovery A Myth? Robust Estimation Of Impulse Responses," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 497-514, April.
    14. Dakpo, K Hervé & Lansink, Alfons Oude, 2019. "Dynamic pollution-adjusted inefficiency under the by-production of bad outputs," European Journal of Operational Research, Elsevier, vol. 276(1), pages 202-211.
    15. 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.
    16. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    17. Bruce A. Babcock & William E. Foster, 1991. "Measuring the Potential Contribution of Plant Breeding to Crop Yields: Flue-Cured Tobacco, 1954–87," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 850-859.
    18. Kapelko, Magdalena & Oude Lansink, Alfons G.J.M. & Stefanou, Spiro E., 2012. "Dynamic Productivity Growth in the Spanish Meat Industry," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135789, European Association of Agricultural Economists.
    19. Banker, Rajiv D. & Chang, Hsihui, 2006. "The super-efficiency procedure for outlier identification, not for ranking efficient units," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1311-1320, December.
    20. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "Input-Specific Dynamic Productivity Change: Measurement and Application to European Dairy Manufacturing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 579-599, June.
    21. Brian D. Wright, 2011. "The Economics of Grain Price Volatility," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(1), pages 32-58.
    22. Bernhard Brümmer & Thomas Glauben & Geert Thijssen, 2002. "Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 628-644.
    23. Daniel Muluwork Atsbeha & Dadi Kristofersson & Kyrre Rickertsen, 2012. "Animal Breeding and Productivity Growth of Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(4), pages 996-1012.
    24. Pinar Geylani & Spiro Stefanou, 2013. "Linking investment spikes and productivity growth," Empirical Economics, Springer, vol. 45(1), pages 157-178, August.
    25. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2016. "Investment Age and Dynamic Productivity Growth in the Spanish Food Processing Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 946-961.
    26. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    27. Magdalena Kapelko, 2019. "Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union," Annals of Operations Research, Springer, vol. 278(1), pages 215-234, July.
    28. Peter Klenow, 1998. "Learning Curves and the Cyclical Behavior of Manufacturing Industries," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 531-550, April.
    29. Ephraim Leibtag, 2009. "How Much and How Quick? Pass through of Commodity and Input Cost Changes to Retail Food Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1462-1467.
    30. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    31. Lansink, Alfons Oude & Stefanou, Spiro & Serra, Teresa, 2015. "Primal and dual dynamic Luenberger productivity indicators," European Journal of Operational Research, Elsevier, vol. 241(2), pages 555-563.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    2. Maghyereh, Aktham & Abdoh, Hussein, 2021. "The effect of structural oil shocks on bank systemic risk in the GCC countries," Energy Economics, Elsevier, vol. 103(C).
    3. Kumbhakar, Subal C. & Li, Mingyang & Lien, Gudbrand, 2023. "Do subsidies matter in productivity and profitability changes?," Economic Modelling, Elsevier, vol. 123(C).

    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. Engida, Tadesse Getacher & Rao, Xudong & Oude Lansink, Alfons G.J.M., 2020. "A dynamic by-production framework for analyzing inefficiency associated with corporate social responsibility," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1170-1179.
    2. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2015. "Analyzing the impact of investment spikes on dynamic productivity growth," Omega, Elsevier, vol. 54(C), pages 116-124.
    3. Magdalena Kapelko, 2019. "Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union," Annals of Operations Research, Springer, vol. 278(1), pages 215-234, July.
    4. Liyun Zhu & Alfons Oude Lansink, 2022. "Dynamic sustainable productivity growth of Dutch dairy farming," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-19, February.
    5. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.
    6. Baharumshah, Ahmad Zubaidi & Slesman, Ly & Wohar, Mark E., 2016. "Inflation, inflation uncertainty, and economic growth in emerging and developing countries: Panel data evidence," Economic Systems, Elsevier, vol. 40(4), pages 638-657.
    7. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    8. Jing Li & Tsun Se Cheong & Jianfa Shen & Dahai Fu, 2019. "Urbanization And Rural–Urban Consumption Disparity: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 983-996, September.
    9. Cho, Seo-Young & Vadlamannati, Krishna Chaitanya, 2012. "Compliance with the Anti-trafficking Protocol," European Journal of Political Economy, Elsevier, vol. 28(2), pages 249-265.
    10. Sabien Dobbelaere & Jacques Mairesse, 2010. "Comparing Micro-evidence on Rent Sharing from Three Different Approaches," NBER Working Papers 16220, National Bureau of Economic Research, Inc.
    11. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    12. Bloom, David E. & Canning, David & Kotschy, Rainer & Prettner, Klaus & Schünemann, Johannes, 2024. "Health and economic growth: Reconciling the micro and macro evidence," World Development, Elsevier, vol. 178(C).
    13. Njangang, Henri & Beleck, Alim & Tadadjeu, Sosson & Kamguia, Brice, 2022. "Do ICTs drive wealth inequality? Evidence from a dynamic panel analysis," Telecommunications Policy, Elsevier, vol. 46(2).
    14. Ma, Yong & Lv, Lin, 2023. "Financial development, financial instability, and fiscal policy volatility: International evidence," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    15. Nasr G. Elbahnasawy & Michael A. Ellis, 2016. "Economic Structure And Seigniorage: A Dynamic Panel Data Analysis," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 940-965, April.
    16. Paul-Olivier Klein & Rima Turk-Ariss, 2022. "Bank capital and economic activity," Post-Print hal-03955630, HAL.
    17. Vusal Musayev, 2016. "Externalities in Military Spending and Growth: The Role of Natural Resources as a Channel through Conflict," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(3), pages 378-391, June.
    18. Donatella Saccone, 2021. "Can the Covid19 pandemic affect the achievement of the ‘Zero Hunger’ goal? Some preliminary reflections," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(7), pages 1025-1038, September.
    19. Mi Lin & Yum K. Kwan, 2011. "Sectoral Location of FDI in China," The World Economy, Wiley Blackwell, vol. 34, pages 1181-1198, July.
    20. Mohamed Boly, 2018. "CO 2 mitigation in developing countries: the role of foreign aid," Working Papers halshs-01740881, HAL.

    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:eee:ejores:v:290:y:2021:i:2:p:701-717. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.