IDEAS home Printed from https://ideas.repec.org/a/kap/jproda/v47y2017i3d10.1007_s11123-016-0482-2.html
   My bibliography  Save this article

Accounting for risk in productivity analysis: an application to Norwegian dairy farming

Author

Listed:
  • Gudbrand Lien

    (Norwegian Institute for Bioeconomy Research
    Lillehammer University College)

  • Subal C. Kumbhakar

    (Norwegian Institute for Bioeconomy Research
    State University of New York)

  • J. Brian Hardaker

    (University of New England)

Abstract

Empirical studies have often shown wide differences in productivity among firms. Although several studies have sought to identify factors causing such differences, only a few studies have examined the effects of risk and risk aversion on productivity. In this study, using Norwegian dairy farming data for 2009, we examined the effects of different aspects of risk on productivity. We used a range of variables to construct indices of risk taking, risk perception and risk management. These indices were then included as arguments in an input distance function which represents the production technology. Our results show that these risk indices did affect productivity. Regional differences in productivity, though small, were also found to exist, suggesting that unobserved edaphic factors that differ between regions also affected productivity.

Suggested Citation

  • Gudbrand Lien & Subal C. Kumbhakar & J. Brian Hardaker, 2017. "Accounting for risk in productivity analysis: an application to Norwegian dairy farming," Journal of Productivity Analysis, Springer, vol. 47(3), pages 247-257, June.
    • Handle: RePEc:kap:jproda:v:47:y:2017:i:3:d:10.1007_s11123-016-0482-2
    DOI: 10.1007/s11123-016-0482-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11123-016-0482-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11123-016-0482-2?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. Vernon W. Ruttan, 2002. "Productivity Growth in World Agriculture: Sources and Constraints," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 161-184, Fall.
    2. Hall, Andy & Mytelka, Lynn & Oyelaran-Oyeyinka, Banji, 2006. "Concepts and guidelines for diagnostic assessments of agricultural innovation capacity," MERIT Working Papers 2006-017, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Nicholas Bloom & John Van Reenen, 2007. "Measuring and Explaining Management Practices Across Firms and Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1351-1408.
    4. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
    5. Pardey, Philip G. & Alston, Julian M. & Ruttan, Vernon W., 2010. "The Economics of Innovation and Technical Change in Agriculture," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 939-984, Elsevier.
    6. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    7. Martin van Ittersum & Ada Wossink, 2006. "Integrating Agronomic Principles into Production Function Specification: A Dichotomy of Growth Inputs and Facilitating Inputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 203-214.
    8. Kumbhakar, Subal C. & Hjalmarsson, Lennart, 1998. "Relative performance of public and private ownership under yardstick competition: electricity retail distribution," European Economic Review, Elsevier, vol. 42(1), pages 97-122, January.
    9. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    10. Albert N. Link, 2007. "Entrepreneurship, Innovation, and Technological Change," Technical Reports 070716, Brandmeyer Center for Applied Economics, School of Business, University of Kansas.
    11. Glass, Anthony & Kenjegalieva, Karligash & Paez-Farrell, Juan, 2013. "Productivity growth decomposition using a spatial autoregressive frontier model," Economics Letters, Elsevier, vol. 119(3), pages 291-295.
    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. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    2. Almas Heshmati & Masoomeh Rashidghalam, 2020. "Estimation of technical change and TFP growth based on observable technology shifters," Journal of Productivity Analysis, Springer, vol. 53(1), pages 21-36, February.
    3. Zheng, Yu & Alexandre, Gohin, 2018. "Agricultural productivity and price volatility in France: a dynamic stochastic partial equilibrium approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 274354, Agricultural and Applied Economics Association.
    4. Mamonov Mikhail E. & Parmeter Christopher F. & Prokhorov Artem B., 2022. "Dependence modeling in stochastic frontier analysis," Dependence Modeling, De Gruyter, vol. 10(1), pages 123-144, January.
    5. Frank Asche & Andreea L. Cojocaru & Ruth B. M. Pincinato & Kristin H. Roll, 2020. "Production Risk in the Norwegian Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(1), pages 137-149, January.
    6. Muhamad Zahid Muhamad & Mad Nasir Shamsudin & Nitty Hirawaty Kamarulzaman & Nolila Mohd Nawi & Jamaliah Laham, 2022. "Investigating Yield Variability and Technical Efficiency of Smallholders Pineapple Production in Johor," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    7. Samira Shayanmehr & Shida Rastegari Henneberry & Mahmood Sabouhi Sabouni & Naser Shahnoushi Foroushani, 2020. "Drought, Climate Change, and Dryland Wheat Yield Response: An Econometric Approach," IJERPH, MDPI, vol. 17(14), pages 1-18, July.
    8. Kabir, Md. Jahangir & Cramb, Rob & Alauddin, Mohammad & Gaydon, Donald S., 2019. "Farmers’ perceptions and management of risk in rice-based farming systems of south-west coastal Bangladesh," Land Use Policy, Elsevier, vol. 86(C), pages 177-188.
    9. Lien, Gudbrand & Kumbhakar, Subal C. & Mishra, Ashok K. & Hardaker, J. Brian, 2022. "Does risk management affect productivity of organic rice farmers in India? Evidence from a semiparametric production model," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1392-1402.

    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. Becker, Sascha & Hvide, Hans V, 2013. "Do entrepreneurs matter?," CAGE Online Working Paper Series 109, Competitive Advantage in the Global Economy (CAGE).
    2. Nick Zubanov & W.S. Siebert, 2009. "Management economics in a large UK retailer," CPB Discussion Paper 125, CPB Netherlands Bureau for Economic Policy Analysis.
    3. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    4. Steven Davis & Cheryl Grim & John Haltiwanger, 2008. "Productivity Dispersion and Input Prices: The Case of Electricity," Working Papers 08-33, Center for Economic Studies, U.S. Census Bureau.
    5. Davide Consoli & Francesco Vona & Francesco Rentocchini, 2016. "That was then, this is now: skills and routinization in the 2000s," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(5), pages 847-866.
    6. Jacob Holm, 2014. "The significance of structural transformation to productivity growth," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 1009-1036, November.
    7. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2013. "Healthcare Exceptionalism? Productivity and Allocation in the U.S. Healthcare Sector," NBER Working Papers 19200, National Bureau of Economic Research, Inc.
    8. Christopher F Baum & Hans Lööf & Pardis Nabavi, 2019. "Innovation strategies, external knowledge and productivity growth," Industry and Innovation, Taylor & Francis Journals, vol. 26(3), pages 348-367, March.
    9. Richard Dion & Robert Fay, 2008. "Understanding Productivity: A Review of Recent Technical Research," Discussion Papers 08-3, Bank of Canada.
    10. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    11. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
    12. Chaparro, Juan & Lora, Eduardo, 2014. "The Economic Payoff of Creating Good Job Conditions: Theory and Evidence from Latin America," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169810, Agricultural and Applied Economics Association.
    13. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
    14. Dosi, Giovanni & Roventini, Andrea & Russo, Emanuele, 2019. "Endogenous growth and global divergence in a multi-country agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 101-129.
    15. Almas Heshmati, 2003. "Productivity Growth, Efficiency and Outsourcing in Manufacturing and Service Industries," Journal of Economic Surveys, Wiley Blackwell, vol. 17(1), pages 79-112, February.
    16. Desiderio Romero-Jordán & Ismael Sanz-Labrador & José Félix Sanz-Sanz, 2020. "Is the corporation tax a barrier to productivity growth?," Small Business Economics, Springer, vol. 55(1), pages 23-38, June.
    17. Fontanelli, Luca & Guerini, Mattia & Napoletano, Mauro, 2023. "International trade and technological competition in markets with dynamic increasing returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    18. Siebert, W. Stanley & Zubanov, Nick, 2008. "Management Economics in a Large Retail Organization," IZA Discussion Papers 3645, Institute of Labor Economics (IZA).
    19. G. Dosi, 2012. "Economic Coordination and Dynamics: Some Elements of an Alternative “Evolutionary” Paradigm," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 12.
    20. Christopher Baum & Hans Lööf, & Pardis Nabavi, 2015. "Innovation, Spillovers and Productivity Growth: A Dynamic Panel Data Approach," EcoMod2015 8970, EcoMod.

    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:kap:jproda:v:47:y:2017:i:3:d:10.1007_s11123-016-0482-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.