IDEAS home Printed from https://ideas.repec.org/a/ags/jordng/175744.html
   My bibliography  Save this article

What Drives the Productivity Change of the Korean Food Processing Industry?: A Stochastic Frontier Analysis Using Firm-Level Panel Data, 2001-2009

Author

Listed:
  • Kang, Hye-Jung
  • Choi, Ji-Hyeon

Abstract

This article conducts an analysis on changes in productivity in Korean major food processing industries (meat processing industry, milk processing industry, and pickle industry) with the financial data over the five years from 2001 to 2009. Measurements are obtained from the estimation of a stochastic production function. The results find that technical change and allocative efficiency have led significant productivity changes in the three industries. Especially, pickle industry experienced a higher rate of productivity growth by a greater rate of technical change and allocative efficiency. Accordingly, the technical progress and efficient resource allocation resulting from greater investment in R&D and stable supply of raw materials are required for enhancement of productivity in the Korean food processing industry.

Suggested Citation

  • Kang, Hye-Jung & Choi, Ji-Hyeon, 2013. "What Drives the Productivity Change of the Korean Food Processing Industry?: A Stochastic Frontier Analysis Using Firm-Level Panel Data, 2001-2009," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 36(1), pages 1-20, May.
    • Handle: RePEc:ags:jordng:175744
    DOI: 10.22004/ag.econ.175744
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/175744/files/36_1_1.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.175744?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. Subal Kumbhakar & M. Denny & M. Fuss, 2000. "Estimation and decomposition of productivity change when production is not efficient: a paneldata approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 312-320.
    2. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    3. Catherine J. Morrison Paul & Warren E. Johnston & Gerald A. G. Frengley, 2000. "Efficiency in New Zealand Sheep and Beef Farming: The Impacts of Regulatory Reform," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 325-337, May.
    4. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor & William L. Weber, 1997. "Budget-Constrained Frontier Measures Of Fiscal Equality And Efficiency In Schooling," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 116-124, February.
    5. Sangho Kim & Gwangho Han, 2001. "A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 16(3), pages 269-281, November.
    6. Mukesh Kumar & Partha Basu, 2008. "Perspectives of productivity growth in Indian food industry: a data envelopment analysis," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(7), pages 503-522, September.
    7. Hyejung Kang, 2007. "Productivity Growth in Korean Agriculture, 1998-2002: Analysis of Multi- Output Production Technolog," Korean Economic Review, Korean Economic Association, vol. 23, pages 433-457.
    8. Oh Sang Kwon & Hyunok Lee, 2004. "Productivity improvement in Korean rice farming: parametric and non‐parametric analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 323-346, June.
    9. Kwon, Oh Sang & Lee, Hyunok, 2004. "Productivity improvement in Korean rice farming: parametric and non-parametric analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 1-24.
    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. Hyejung Kang, 2007. "Productivity Growth in Korean Agriculture, 1998-2002: Analysis of Multi- Output Production Technolog," Korean Economic Review, Korean Economic Association, vol. 23, pages 433-457.
    2. Irz, Xavier T. & Stevenson, James R., 2012. "Efficiency and Farm Size in Philippine Aquaculture. Analysis in a Ray Production Frontier Framework," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(2), pages 1-24, August.
    3. Kang, Hye-Jung & Kim, Jeong-Ho, 2008. "Impact of Direct Income Payments on Productive Efficiency of Korean Rice Farms," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 31(2), pages 1-22, May.
    4. Jan Kluge & Sarah Lappöhn & Kerstin Plank, 2023. "Predictors of TFP growth in European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 109-140, February.
    5. Isaac Abekah-Koomson & Pang Wei Loon & Gamini Premaratne & Teo Siew Yean, 2021. "Total Factor Productivity Growth: Evidence from West African Economies," Global Business Review, International Management Institute, vol. 22(6), pages 1405-1420, December.
    6. Federica VIGANO & Andrea SALUSTRI, 2015. "Matching profit and Non-profit Needs: How NPOs and Cooperative Contribute to Growth in Time of Crisis. A Quantitative Approach," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 86(1), pages 157-178, March.
    7. Graham, Mary, 2009. "Developing a social perspective to farm performance analysis," Ecological Economics, Elsevier, vol. 68(8-9), pages 2390-2398, June.
    8. Tovar, Beatriz & Javier Ramos-Real, Francisco & de Almeida, Edmar Fagundes, 2011. "Firm size and productivity. Evidence from the electricity distribution industry in Brazil," Energy Policy, Elsevier, vol. 39(2), pages 826-833, February.
    9. Fidel Martínez Roget & Xosé A. Rodríguez González, 2006. "Occupancy Level and Productivity in Rural Tourism Establishments: The Case of Galicia, Spain," Tourism Economics, , vol. 12(2), pages 279-289, June.
    10. Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of extreme events on technical efficiency in Vietnamese agriculture," CIRED Working Papers halshs-02080285, HAL.
    11. 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.
    12. repec:zbw:iamodp:253397 is not listed on IDEAS
    13. Chang, Hung-Hao & Wen, Fang-I, 2008. "Off-farm Work, Technical Efficiency, and Production Risk: Empirical Evidence from a National Farmer Survey in Taiwan," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6164, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Tleubayev, Alisher & Bobojonov, Ihtiyor & Götz, Linde & Hockmann, Heinrich & Glauben, Thomas, 2017. "Determinants of productivity and efficiency of wheat production in Kazakhstan: A stochastic frontier approach [Determinanten von Produktivität und Effizienz der Weizenproduktion in Kasachstan: Ein ," IAMO Discussion Papers 160, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    15. Etienne ESPAGNE & Yoro DIALLO & Sébastien MARCHAND, 2019. "Impacts of Extreme Climate Events on Technical Efficiency in Vietnamese Agriculture," Working Paper c1221ee7-5311-4af0-b1b4-3, Agence française de développement.
    16. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-25, April.
    17. Sauer, Johannes, 2008. "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6425, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Kamila Radlińska, 2023. "Some Theoretical and Practical Aspects of Technical Efficiency—The Example of European Union Agriculture," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    19. Sauer, J.F., 2005. "“Efficiency Flooding”: Black-Box Frontiers and Policy Implications," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 17-52.
    20. 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.
    21. Erol Taymaz & Ebru Voyvoda & Kamil Yilmaz, 2010. "Global Links and Local Bonds: The Role of Ownership and Size in Productivity Growth," Koç University-TUSIAD Economic Research Forum Working Papers 1020, Koc University-TUSIAD Economic Research Forum.

    More about this item

    Keywords

    Productivity Analysis;

    Statistics

    Access and download statistics

    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:jordng:175744. 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/kreinkr.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.