IDEAS home Printed from https://ideas.repec.org/p/ags/saea10/56335.html
   My bibliography  Save this paper

The Efficiency of Labor Input in the Tree Nut Growers Industry: A Stochastic Frontier Production Approach Study in Butte County, California

Author

Listed:
  • Chang, Kuo-Liang
  • Lone, Todd A.

Abstract

The U.S. government recruits immigrant workers through the H-2A program as a short-term solution to the agricultural sectors’ labor shortage problem. Although the sector insists hiring immigrant workers is essential for their survival, history has proven the socio-economic cost for doing so is enormous. This paper aims to investigate the contribution of labor to agricultural production efficiency. A discussion of marginal rate of technical substitution, economies of scale, and economies of scope will also be included. The stochastic production frontier regression approach was applied to input/output data collected from a survey of tree nut growers in Butte County, California. Results indicate the labor input is not significant in deciding farm production efficiency. Instead of attempting to increase short-term labor, producers’ and policy makers’ efforts should be directed toward improving the logistics of farm management and the quality of labor, thus more efficiently utilizing available resources.

Suggested Citation

  • Chang, Kuo-Liang & Lone, Todd A., 2010. "The Efficiency of Labor Input in the Tree Nut Growers Industry: A Stochastic Frontier Production Approach Study in Butte County, California," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56335, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea10:56335
    DOI: 10.22004/ag.econ.56335
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/56335/files/labor%20efficiency%20paper%20of%20labor%20input%20in%20the%20tree%20nut%20growerts%20industry%200112a.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.56335?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. Dawn Thilmany & Steven C. Blank, 1996. "FLCs: An analysis of labor management transfers among California agricultural producers," Agribusiness, John Wiley & Sons, Ltd., vol. 12(1), pages 37-49.
    2. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    3. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    4. Paul Bishop & Steven Brand, 2003. "The efficiency of museums: a stochastic frontier production function approach," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1853-1858.
    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. Kuo-Liang Matt Chang & Todd A. Lone, 2009. "The Efficiency of Labor Input in the Tree Nut Growers Industry: A Stochastic Frontier Production Approach Study in Butte County, California," SDSU Working Papers in Progress 42009, South Dakota State University, Department of Economics.
    2. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
    3. Tauer, Loren W. & Mishra, Ashok K., 2005. "U.S. Dairy Farm Cost Efficiency," Working Papers 127079, Cornell University, Department of Applied Economics and Management.
    4. 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.
    5. Williams, Jonathan, 2004. "Determining management behaviour in European banking," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2427-2460, October.
    6. Roy, Manish & Mazumder, Ritwik, 2016. "Technical Efficiency of Fish Catch in Traditional Fishing: A Study in Southern Assam," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 5(1), pages 55-68.
    7. Edward Ebo ONUMAH & Bernhard BRÜMMER & Gabriele HÖRSTGEN-SCHWARK, 2010. "Productivity of the hired and family labour and determinants of technical inefficiency in Ghana's fish farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 56(2), pages 79-88.
    8. repec:use:tkiwps:3232 is not listed on IDEAS
    9. Roberto Furesi & Fabio Madau & Pietro Pulina, 2013. "Technical efficiency in the sheep dairy industry: an application on the Sardinian (Italy) sector," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 1(1), pages 1-11, December.
    10. Adegbite, O. & Adeoye, I. B., 2015. "Technical Efficiency of Pineapple Production in Osun State, Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(1), pages 1-10, March.
    11. Srinivasulu Rajendran, 2014. "Technical Efficiency of Fruit and Vegetable Producers in Tamil Nadu, India: A Stochastic Frontier Approach," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 11(1), pages 77-93, June.
    12. Finn Førsund & Nikias Sarafoglou, 2002. "On the Origins of Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 23-40, January.
    13. Asekenye, Cresensia & Bravo-Ureta, Boris E. & Mukherjee, Deep & Okoko, Nasambu & Kalule Okello, David & Kidula, Nelson & Deom, Mike & Puppala, Naveen, 2013. "Productivity Gaps Among Smallholder Groundnut Farmers: A Comparative Analysis for Uganda and Kenya," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160673, African Association of Agricultural Economists (AAAE).
    14. Nazneen K. Chowdhury & Tom Kompas & Kaliappa Kalirajan, 2010. "Impact of control measures in fisheries management: evidence from Bangladesh's industrial trawl fishery," Economics Bulletin, AccessEcon, vol. 30(1), pages 765-773.
    15. Tauer, Loren W. & Mishra, Ashok K., 2006. "Can the small dairy farm remain competitive in US agriculture?," Food Policy, Elsevier, vol. 31(5), pages 458-468, October.
    16. Massimiliano Piacenza & Gilberto Turati, 2014. "Does Fiscal Discipline Towards Subnational Governments Affect Citizens' Well‐Being? Evidence On Health," Health Economics, John Wiley & Sons, Ltd., vol. 23(2), pages 199-224, February.
    17. Cristina Bernini & Paola Brighi, 2011. "Relationship Lending, Distance and Efficiency in a Heterogeneous Banking System," Working Paper series 41_11, Rimini Centre for Economic Analysis.
    18. Ajibefun, Igbekele A., 2006. "Linking Socio-Economic and Policy Variables to Technical Efficiency of Traditional Agricultural Production: Empirical Evidence from Nigeria," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25535, International Association of Agricultural Economists.
    19. Boyle, G.E. & McQuinn, K., 2003. "Why do some countries produce so much more output per worker than others? A note," Economics Department Working Paper Series n1331103, Department of Economics, National University of Ireland - Maynooth.
    20. Yusuf Tashrifov, 2005. "The Effects of Market Reform on Cotton Production Efficiency. The Case of Tajikistan," International and Development Economics Working Papers idec05-8, International and Development Economics.
    21. Garsztka Przemysław & Hołubowicz Krzysztof, 2015. "The Application of Asymmetric Liquidity Risk Measure in Modelling the Risk of Investment," Folia Oeconomica Stetinensia, Sciendo, vol. 15(1), pages 83-100, June.

    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:saea10:56335. 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/saeaaea.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.