IDEAS home Printed from https://ideas.repec.org/a/jed/journl/v25y2000i1p57-74.html

A Comparison of Intercountry Agricultural Production Functions: A Frontier Function Approach

Author

Listed:
  • Viveka P. Kudaligama

    (Department of Agricultural and Consumer Economics, University of Illinois at Urbana)

  • John F. Yanagida

    (Department of Natural Resources and Environmental Management, University of Hawaii at Manoa)

Abstract

Unlike the work by Hayami and Ruttan in the 1970s, this study utilizes frontier meta- production functions to study intercountry agricultural productivity differences. Technical efficiency differences are examined through estimation of deterministic and stochastic frontiers for 43 countries over 1960, 1970 and 1980. In most cases, developed countries on average have higher technical efficiency levels. However, not all developed countries are fully technically efficient while certain developing countries perform comparably with other developed countries. The results also show that the productivity gap between developing and developed countries has increased over time. Yet there is potential to improve productivity of developing countries, especially by expanding their human capital stock, as indicated by high output elasticities for primary and secondary education and technical education.

Suggested Citation

  • Viveka P. Kudaligama & John F. Yanagida, 2000. "A Comparison of Intercountry Agricultural Production Functions: A Frontier Function Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 25(1), pages 57-74, June.
  • Handle: RePEc:jed:journl:v:25:y:2000:i:1:p:57-74
    as

    Download full text from publisher

    File URL: http://www.jed.or.kr/full-text/25-1/kudaligama.PDF
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
    2. Trueblood, Michael Alan, 1991. "Agricultural Production Functions Estimated From Aggregate Intercountry Observations: A Selected Survey," Staff Reports 278560, United States Department of Agriculture, Economic Research Service.
    3. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    4. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
    5. Coelli, T. J., 1992. "A computer program for frontier production function estimation : Frontier version 2.0," Economics Letters, Elsevier, vol. 39(1), pages 29-32, May.
    6. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    7. Martine AUDIBERT, 1996. "Technical inefficiency effects among paddy farmers at the 'Office du Niger', Mali, West Africa," Working Papers 199613, CERDI.
    8. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, Blackwell, vol. 7(3-4), pages 185-208, October.
    9. Seitz, Wesley D, 1971. "Productive Efficiency in the Steam-Electric Generating Industry," Journal of Political Economy, University of Chicago Press, vol. 79(4), pages 878-886, July-Aug..
    10. Tim Coelli & Sergio Perelman & Elliot Romano, 1999. "Accounting for Environmental Influences in Stochastic Frontier Models: With Application to International Airlines," Journal of Productivity Analysis, Springer, vol. 11(3), pages 251-273, June.
    11. Fan Hu & John M. Antle, 1993. "Agricultural Policy and Productivity: International Evidence," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(3), pages 495-505.
    12. Yujiro Hayami, 1969. "Sources of Agricultural Productivity Gap Among Selected Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 564-575.
    13. Forsund, Finn R & Jansen, Eilev S, 1977. "On Estimating Average and Best Practice Homothetic Production Functions via Cost Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 463-476, June.
    14. Frisvold, George B. & Lomax, Eugene, 1991. "Differences in Agricultural Research and Productivity Among 26 Countries," Agricultural Economic Reports 308150, United States Department of Agriculture, Economic Research Service.
    15. 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.
    16. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    17. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    18. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    19. Lau, Lawrence J. & Yotopoulos, Pan A., 1989. "The meta-production function approach to technological change in world agriculture," Journal of Development Economics, Elsevier, vol. 31(2), pages 241-269, October.
    20. Forsund, Finn R & Hjalmarsson, Lennart, 1979. "Frontier Production Functions and Technical Progress: A Study of General Milk Processing in Swedish Dairy Plants," Econometrica, Econometric Society, vol. 47(4), pages 883-900, July.
    21. Nishimizu, Mieko & Page, John M, Jr, 1982. "Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78," Economic Journal, Royal Economic Society, vol. 92(368), pages 920-936, December.
    22. Mbelle, Ammon & Sterner, Thomas, 1991. "Foreign exchange and industrial development: A frontier production function analysis of two Tanzanian industries," World Development, Elsevier, vol. 19(4), pages 341-347, April.
    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. Breustedt, Gunnar & Francksen, Tammo & Latacz-Lohmann, Uwe, 2007. "Estimating Non-Concave Metafrontiers Using Data Envelope Analysis," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7600, German Association of Agricultural Economists (GEWISOLA).
    2. Shilpa Chaudhary, 2012. "Trends in Total Factor Productivity in Indian Agriculture: State-level Evidence using non-parametric Sequential Malmquist Index," Working papers 215, Centre for Development Economics, Delhi School of Economics.
    3. Nkamleu, Guy Blaise, 2007. "Religious faith and agricultural growth: exploring some correlations in Africa," MPRA Paper 11131, University Library of Munich, Germany, revised 2007.
    4. Mon‐Chi Lio & Jin‐Li Hu, 2009. "Governance and Agricultural Production Efficiency: A Cross‐Country Aggregate Frontier Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 40-61, February.
    5. Breustedt, G. & Francksen, T. & Latacz-Lohmann, U., . "Estimating non-concave metafrontiers using Data Envelopment Analysis," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 43.
    6. Neumann, Kathleen & Verburg, Peter H. & Stehfest, Elke & Müller, Christoph, 2010. "The yield gap of global grain production: A spatial analysis," Agricultural Systems, Elsevier, vol. 103(5), pages 316-326, June.
    7. Haryanto, T. & Talib, B. A. & Salleh, N. H. M., . "Technical Efficiency and Technology Gap in Indonesian Rice Farming," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(3), pages 1-10.
    8. Nkamleu, Guy Blaise & Sylla, Kalilou & Zonon, Abdoulaye, 2008. "What accounts for growth in African agriculture," MPRA Paper 11102, University Library of Munich, Germany, revised 2008.
    9. Hayatullah Ahmadzai, 2017. "Crop Diversification and Technical Efficiency in Afghanistan: Stochastic Frontier Analysis," Discussion Papers 2017-04, University of Nottingham, CREDIT.

    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. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
    2. Guangming Rao & Bin Su & Jinlian Li & Yong Wang & Yanhua Zhou & Zhaolin Wang, 2019. "Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    3. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    4. Julio Peña-Torres & Michael Basch & Sebastian Vergara, "undated". "EFICIENCIA TÉCNICA Y ESCALAS DE OPERACIÓN EN PESCA PELÁGICA: UN ANÁLISIS DE FRONTERAS ESTOCÁSTICAS (Pesquería Centro-Sur en Chile)," ILADES-UAH Working Papers inv137, Universidad Alberto Hurtado/School of Economics and Business.
    5. Arazmuradov, Annageldy & Martini, Gianmaria & Scotti, Davide, 2014. "Determinants of total factor productivity in former Soviet Union economies: A stochastic frontier approach," Economic Systems, Elsevier, vol. 38(1), pages 115-135.
    6. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    7. Lachaal, Lassaad & Chebil, Ali & Dhehibi, Boubaker, 2004. "A Panel Data Approach to the Measurement of Technical Efficiency and its Determinants: Some Evidence from the Tunisian Agro-Food Industry," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 5(01), pages 1-9, January.
    8. Tim J. Coelli & George E. Battese, 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 103-128, August.
    9. Philip M. Bodman, 1999. "Labour Market Inefficiency and Frictional Unemployment in Australia and its States: A Stochastic Frontier Approach," The Economic Record, The Economic Society of Australia, vol. 75(2), pages 138-148, June.
    10. Madau, Fabio A., 2005. "Technical Efficiency in Organic Farming: An Application on Italian Cereal Farms Using a Parametric Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24545, European Association of Agricultural Economists.
    11. Henry, Michael & Kneller, Richard & Milner, Chris, 2009. "Trade, technology transfer and national efficiency in developing countries," European Economic Review, Elsevier, vol. 53(2), pages 237-254, February.
    12. Maria Francesca Cracolici & Peter Nijkamp & Piet Rietveld, 2008. "Assessment of Tourism Competitiveness by Analysing Destination Efficiency," Tourism Economics, , vol. 14(2), pages 325-342, June.
    13. Seyoum, E. T. & Battese, G. E. & Fleming, E. M., 1998. "Technical efficiency and productivity of maize producers in eastern Ethiopia: a study of farmers within and outside the Sasakawa-Global 2000 project," Agricultural Economics, Blackwell, vol. 19(3), pages 341-348, December.
    14. Martine Audibert, 1997. "Technical Inefficiency Effects Among Paddy Farmers in the Villages of the ‘Office du Niger’, Mali, West Africa," Journal of Productivity Analysis, Springer, vol. 8(4), pages 379-394, November.
    15. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    16. Bhende, M.J. & Kalirajan, K.P., 2007. "Technical Efficiency of Major Food and Cash Crops in Karnataka (India)," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 62(2), pages 1-17.
    17. Guy Nkamleu & Joachim Nyemeck & Jim Gockowsk, 2010. "Working Paper 104 - Technology Gap and Efficiency in Cocoa Production in West and Central Africa: Implications for Cocoa Sector Development," Working Paper Series 241, African Development Bank.
    18. Fenn, Paul & Vencappa, Dev & Diacon, Stephen & Klumpes, Paul & O'Brien, Chris, 2008. "Market structure and the efficiency of European insurance companies: A stochastic frontier analysis," Journal of Banking & Finance, Elsevier, vol. 32(1), pages 86-100, January.
    19. Althaler, Karl S. & Slavova, Tatjana, 2000. "DEA Problems under Geometrical or Probability Uncertainties of Sample Data," Economics Series 89, Institute for Advanced Studies.
    20. Khem Sharma & Pingsun Leung & Halina Zaleski, 1997. "Productive Efficiency of the Swine Industry in Hawaii: Stochastic Frontier vs. Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 8(4), pages 447-459, November.

    More about this item

    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:jed:journl:v:25:y:2000:i:1:p:57-74. 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: Sung Y. Park (email available below). General contact details of provider: https://edirc.repec.org/data/eccaukr.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.