IDEAS home Printed from https://ideas.repec.org/p/cer/papers/wp286.html
   My bibliography  Save this paper

Non-Parametric Analysis of Technical Efficiency: Factors Affecting Efficiency of West Java Rice Farms

Author

Listed:
  • Frantisek Brazdik

Abstract

The objectives of this analysis are to evaluate the technical and scale efficiency of rice farms in West Java and to identify determinants affecting farms’ efficiency. Further, the farm size–productivity relation is investigated. Data Envelopment Analysis is used to estimate technical efficiency scores. Additionally, Tobit regression is used to explain the variation in the efficiency scores related to farm-specific factors. I conclude that farm size is one of the most important factors of farm’s technical efficiency and that high land fragmentation was the main source of the technical inefficiency during the final period of the intensification era, known as the Green Revolution.

Suggested Citation

  • Frantisek Brazdik, 2006. "Non-Parametric Analysis of Technical Efficiency: Factors Affecting Efficiency of West Java Rice Farms," CERGE-EI Working Papers wp286, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    • Handle: RePEc:cer:papers:wp286
    as

    Download full text from publisher

    File URL: http://www.cerge-ei.cz/pdf/wp/Wp286.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viliam Druska & William C. Horrace, 2004. "Generalized Moments Estimation for Spatial Panel Data: Indonesian Rice Farming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 185-198.
    2. David A Grigorian & Vlad Manole, 2006. "Determinants of Commercial Bank Performance in Transition: An Application of Data Envelopment Analysis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 48(3), pages 497-522, September.
    3. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    4. Barrett, Christopher B., 1996. "On price risk and the inverse farm size-productivity relationship," Journal of Development Economics, Elsevier, vol. 51(2), pages 193-215, December.
    5. R.F. Townsend & J. Kirsten & N. Vink, 1998. "Farm size, productivity and returns to scale in agriculture revisited: a case study of wine producers in South Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 19(1-2), pages 175-180, September.
    6. Shafiq, Muhammad & Rehman, Tahir, 2000. "The extent of resource use inefficiencies in cotton production in Pakistan's Punjab: an application of Data Envelopment Analysis," Agricultural Economics, Blackwell, vol. 22(3), pages 321-330, April.
    7. Basanta R. Dhungana & Peter L. Nuthall & Gilbert V. Nartea, 2004. "Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 347-369, June.
    8. Helfand, Steven M. & Levine, Edward S., 2004. "Farm size and the determinants of productive efficiency in the Brazilian Center-West," Agricultural Economics, Blackwell, vol. 31(2-3), pages 241-249, December.
    9. Fulginiti, Lilyan E. & Perrin, Richard K., 1997. "LDC agriculture: Nonparametric Malmquist productivity indexes," Journal of Development Economics, Elsevier, vol. 53(2), pages 373-390, August.
    10. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
    11. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    12. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    13. Timmer, C P, 1971. "Using a Probabilistic Frontier Production Function to Measure Technical Efficiency," Journal of Political Economy, University of Chicago Press, vol. 79(4), pages 776-794, July-Aug..
    14. Llewelyn, Richard V. & Williams, Jeffery R., 1996. "Nonparametric analysis of technical, pure technical, and scale efficiencies for food crop production in East Java, Indonesia," Agricultural Economics, Blackwell, vol. 15(2), pages 113-126, November.
    15. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.
    16. Abdul Wadud & Ben White, 2000. "Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1665-1673.
    17. William Greene, 2004. "The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 98-119, June.
    18. Binswanger, Hans P. & Deininger, Klaus & Feder, Gershon, 1995. "Power, distortions, revolt and reform in agricultural land relations," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 42, pages 2659-2772, Elsevier.
    19. Hallam, David & Machado, Fernando, 1996. "Efficiency Analysis with Panel Data: A Study of Portuguese Dairy Farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(1), pages 79-93.
    20. Chieko Umetsu & Thamana Lekprichakul & Ujjayant Chakravorty, 2003. "Efficiency and Technical Change in the Philippine Rice Sector: A Malmquist Total Factor Productivity Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 943-963.
    21. Fare, Rolf & Grosskopf, Shawna, 1994. "Estimation of returns to scale using data envelopment analysis: A comment," European Journal of Operational Research, Elsevier, vol. 79(2), pages 379-382, December.
    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. Khanal, Aditya & Koirala, Krishna & Regmi, Madhav, 2016. "Do Financial Constraints Affect Production Efficiency in Drought Prone Areas? A Case from Indonesian Rice Growers," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230087, Southern Agricultural Economics Association.
    2. Maurice Ogada & Dianah Muchai & Germano Mwabu & Mary Mathenge, 2014. "Technical efficiency of Kenya’s smallholder food crop farmers: do environmental factors matter?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(5), pages 1065-1076, October.
    3. Watkins, K. Bradley & Hristovska, Tatjana & Mazzanti, Ralph & Wilson, Charles E., Jr., "undated". "Measuring Technical, Allocative, and Economic Efficiency of Rice Production in Arkansas using Data Envelopment Analysis," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142962, Southern Agricultural Economics Association.
    4. Sugandi, Dedi & Purnamasar, Neneng Ratna & Nurawan, Agus & Sutrisna, Nana & Surdianto, Yanto, 2024. "System proximity index ratio (SPIR) accuracy in forecasting the sustainability of crop-livestock farming systems in Indonesian paddy fields," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 62(2), January.
    5. Thibbotuwawa, Manoj & Mugera, Amin & White, Ben, 2013. "Production Efficiency and Technology Gap in Irrigated and Rain-fed Rice Farming Systems in Sri Lanka: Non Parametric Approach," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152181, Australian Agricultural and Resource Economics Society.
    6. Ricardo Hernández & Thomas Reardon & Ronnie Natawidjaja & Shobha Shetty, 2015. "Tomato Farmers and Modernising Value Chains in Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 51(3), pages 425-444, December.
    7. Singh, Kehar & Dey, Madan Mohan & Rabbani, Abed G. & Sudhakaran, Pratheesh O. & Thapa, Ganesh, 2009. "Technical Efficiency of Freshwater Aquaculture and its Determinants in Tripura, India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(2), July.
    8. Haryanto, T. & Talib, B. A. & Salleh, N. H. M., 2016. "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, September.
    9. Thibbotuwawa, Manoj & Mugera, Amin W. & White, Benedict, 2012. "A Non-Parametric Analysis of Rice Production Efficiency in Sri Lanka," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124423, Australian Agricultural and Resource Economics Society.

    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. Basanta R. Dhungana & Peter L. Nuthall & Gilbert V. Nartea, 2004. "Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 347-369, June.
    2. Kelvin Balcombe & Iain Fraser & Laure Latruffe & Mizanur Rahman & Laurence Smith, 2008. "An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming," Applied Economics, Taylor & Francis Journals, vol. 40(15), pages 1919-1925.
    3. Agnes Gold & Stefan Gold, 2019. "Drivers of Farm Efficiency and Their Potential for Development in a Changing Agricultural Setting in Kerala, India," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 31(4), pages 855-880, September.
    4. A. M. Theodoridis & A. Psychoudakis, 2008. "Efficiency Measurement in Greek Dairy Farms: Stochastic Frontier vs. Data Envelopment Analysis," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 1(2), pages 53-67, December.
    5. Maurice Ogada & Dianah Muchai & Germano Mwabu & Mary Mathenge, 2014. "Technical efficiency of Kenya’s smallholder food crop farmers: do environmental factors matter?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(5), pages 1065-1076, October.
    6. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    7. Anríquez, Gustavo & Bonomi, Genny, 2007. "Long-term farming trends: an inquiry using agricultural censuses," ESA Working Papers 289039, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    8. Tamer Işgın & Remziye Özel & Abdulbaki Bilgiç & Wojciech J. Florkowski & Mehmet Reşit Sevinç, 2020. "DEA Performance Measurements in Cotton Production of Harran Plain, Turkey: A Single and Double Bootstrap Truncated Regression Approaches," Agriculture, MDPI, vol. 10(4), pages 1-17, April.
    9. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2022. "Are small farms really more productive than large farms?," Food Policy, Elsevier, vol. 106(C).
    10. Ghebru, Hosaena & Holden, Stein T., 2015. "Technical Efficiency and Productivity Differential Effects of Land Right Certification: A Quasi-Experimental Evidence," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 54(1), pages 1-31, February.
    11. Koirala, Bishwa S. & Bohara, Alok K. & Devkota, Satis & Upadhyaya, Kamal P., 2019. "Community managed hydropower, spillover effect and agricultural productivity: The case of rural Nepal," World Development Perspectives, Elsevier, vol. 13(C), pages 67-74.
    12. Helfand, Steven M. & Taylor, Matthew P.H., 2021. "The inverse relationship between farm size and productivity: Refocusing the debate," Food Policy, Elsevier, vol. 99(C).
    13. Imran, Muhammad Ali & Ali, Asghar & Ashfaq, Muhammad & Hassan, Sarfraz & Culas, Richard & Ma, Chunbo, 2019. "Impact of climate smart agriculture (CSA) through sustainable irrigation management on Resource use efficiency: A sustainable production alternative for cotton," Land Use Policy, Elsevier, vol. 88(C).
    14. Taylor, Matthew P.H. & Helfand, Steven M., 2021. "The Farm Size – Productivity Relationship in the Wake of Market Reform: An Analysis of Mexican Family Farms," 2021 Conference, August 17-31, 2021, Virtual 315138, International Association of Agricultural Economists.
    15. Speelman, Stijn & D'Haese, Marijke F.C. & Buysse, Jeroen & D'Haese, Luc, 2007. "Technical efficiency of water use and its determinants, study at efficiencies in small-scale irrigation schemes in North-West Province, South Africa," 106th Seminar, October 25-27, 2007, Montpellier, France 7904, European Association of Agricultural Economists.
    16. Siyan Zeng & Fengwu Zhu & Fu Chen & Man Yu & Shaoliang Zhang & Yongjun Yang, 2018. "Assessing the Impacts of Land Consolidation on Agricultural Technical Efficiency of Producers: A Survey from Jiangsu Province, China," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    17. Speelman, Stijn & D'Haese, Marijke & Buysse, Jeroen & D'Haese, Luc, 2008. "A measure for the efficiency of water use and its determinants, a case study of small-scale irrigation schemes in North-West Province, South Africa," Agricultural Systems, Elsevier, vol. 98(1), pages 31-39, July.
    18. Rios, Ana R. & Masters, William A. & Shively, Gerald E., 2008. "Linkages between Market Participation and Productivity: Results from a Multi-Country Farm Household Sample," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6145, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Rios, Ana R. & Shively, Gerald E. & Masters, William A., 2009. "Farm Productivity and Household Market Participation: Evidence from LSMS Data," 2009 Conference, August 16-22, 2009, Beijing, China 51031, International Association of Agricultural Economists.
    20. Reig-Martinez, Ernest & Picazo-Tadeo, Andres J., 2004. "Analysing farming systems with Data Envelopment Analysis: citrus farming in Spain," Agricultural Systems, Elsevier, vol. 82(1), pages 17-30, October.

    More about this item

    Keywords

    Rice farms; data envelopment analysis.;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • N55 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Asia including Middle East
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cer:papers:wp286. 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: Lucie Vasiljevova (email available below). General contact details of provider: https://edirc.repec.org/data/eiacacz.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.