IDEAS home Printed from https://ideas.repec.org/a/ags/ijfaec/234909.html
   My bibliography  Save this article

Technical Efficiency And The Technology Gap In Wetland Rice Farming In Indonesia: A Metafrontier Analysis

Author

Listed:
  • Junaedi, Mohammad
  • Daryanto, Heny Kuswanti Suwarsinah
  • Sinaga, Bonar Marulitua
  • Hartoyo, Sri

Abstract

Diversity in the characteristics between regions is why different kinds of technology are used in wetland rice farming in Indonesia. These differences lead to a technology gap which then makes it nearly impossible to compare the maximum production sizes (the frontiers) of each region. This study is aimed to observe the factors that affect production, efficiency, and the technology gap in wetland rice farming using the data from 4,203 wetland rice farmers in 4 regions in Indonesia which were obtained from the Cost Structure of Food Crops Production Survey 2011 conducted by the BPS-Statistics Indonesia. This study was conducted using a metafrontier analysis to prove that the efficiency level in the 4 regions could not be compared to each other. In general, all the coefficients of the production function variables were positive and significant, as expected. The size of the harvested area was the strongest factor in influencing wetland rice production. The ten socio-economic variables in this study had various effects on the inefficiency of rice farming in each region. This study also demonstrated that the use of technical efficiency measurements taken based on their respective region’s frontier would lead to biased and misguided policies; therefore, special notes are required in the analysis.

Suggested Citation

  • Junaedi, Mohammad & Daryanto, Heny Kuswanti Suwarsinah & Sinaga, Bonar Marulitua & Hartoyo, Sri, 2016. "Technical Efficiency And The Technology Gap In Wetland Rice Farming In Indonesia: A Metafrontier Analysis," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 4(2), pages 1-12, April.
    • Handle: RePEc:ags:ijfaec:234909
    DOI: 10.22004/ag.econ.234909
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/234909/files/vol4.no2.pp39.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.234909?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. Boshrabadi, Hossain Mehrabi & Villano, Renato A. & Fleming, Euan M., 2007. "Analysis of Technical Efficiency and Varietal Differences in Pistachio Production in Iran Using a Meta-Frontier Analysis," 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand 10425, Australian Agricultural and Resource Economics Society.
    2. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    3. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    4. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    5. Hayami, Yujiro & Ruttan, Vernon W., 1969. "Sources Of Agricultural Productivity Differences Among Countries Resource Accumulation, Technical Inputs And Human Capital," Staff Papers 14272, University of Minnesota, Department of Applied Economics.
    6. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    7. Nkamleu, Guy Blaise & Nyemeck, Joachim & Sanogo, Diakalia, 2006. "Metafrontier Analysis of Technology Gap and Productivity Difference in African Agriculture," MPRA Paper 15103, University Library of Munich, Germany.
    8. Medhin, Haileselassie A. & Köhlin, Gunnar, 2008. "Soil Conservation and Small-Scale Food Production in Highland Ethiopia: A Stochastic Metafrontier Approach," RFF Working Paper Series dp-08-22-efd, Resources for the Future.
    9. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    10. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    11. 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.
    12. 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.
    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. Roengchai Tansuchat, 2023. "A Copula-Based Meta-Stochastic Frontier Analysis for Comparing Traditional and HDPE Geomembranes Technology in Sea Salt Farming among Farmers in Phetchaburi, Thailand," Agriculture, MDPI, vol. 13(4), pages 1-23, March.
    2. Nguyen, Hoa-Thi-Minh & Do, Huong & Kompas, Tom, 2021. "Economic efficiency versus social equity: The productivity challenge for rice production in a ‘greying’ rural Vietnam," World Development, Elsevier, vol. 148(C).
    3. Zarkovic, Maja, 2020. "Cap-and-trade and produce at least cost? Investigating firm behaviour in the EU ETS," Working papers 2020/12, Faculty of Business and Economics - University of Basel.
    4. Owusu, Rebecca & Kwadzo, Moses & Ghartey, William, 2022. "Regional Productivity Differential and Technology Gap In African Agriculture: A Stochastic Metafrontier Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 10(1), January.
    5. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2011. "Technical efficiency and technology gaps in beef cattle production systems in Kenya: A stochastic metafrontier analysis," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108947, Agricultural Economics Society.
    6. Goyal, S.K. & Suhag, K.S. & Pandey, U.K., 2006. "An Estimation of Technical Efficiency of Paddy Farmers in Haryana State of India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 61(1), pages 1-15.
    7. Delnava, Haleh & Khosravi, Ali & El Haj Assad, Mamdouh, 2023. "Metafrontier frameworks for estimating solar power efficiency in the United States using stochastic nonparametric envelopment of data (StoNED)," Renewable Energy, Elsevier, vol. 213(C), pages 195-204.
    8. Saeid Hajihassaniasl & Recep Kök, 2016. "Scale effect in Turkish manufacturing industry: stochastic metafrontier analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-17, December.
    9. Sirak Bahta & Amos Omore & Darek Baker & Iheanacho Okike & Berhanu Gebremedhin & Francis Wanyoike, 2021. "An Analysis of Technical Efficiency in the Presence of Developments Toward Commercialization: Evidence from Tanzania’s Milk Producers," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(3), pages 502-525, June.
    10. Richard Adjei Dwumfour & Eric Fosu Oteng-Abayie & Emmanuel Kwasi Mensah, 2022. "Bank efficiency and the bank lending channel: new evidence," Empirical Economics, Springer, vol. 63(3), pages 1489-1542, September.
    11. Bravo-Ureta, Boris E. & Higgins, Daniel & Arslan, Aslihan, 2020. "Irrigation infrastructure and farm productivity in the Philippines: A stochastic Meta-Frontier analysis," World Development, Elsevier, vol. 135(C).
    12. Dairo Estrada & Poldy Osorio, 2004. "Effects of Financial Capital on Colombian Banking Efficiency," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 22(47), pages 162-201, December.
    13. K. Ogundari, 2008. "Resource-productivity, allocative efficiency and determinants of technical efficiency of rainfed rice farmers: A guide for food security policy in Nigeria," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 54(5), pages 224-233.
    14. Phuc Trong Ho & Pham Xuan Hung & Nguyen Duc Tien, 2023. "Effects of varieties and seasons on cost efficiency in rice farming: A stochastic metafrontier approach," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 13(2), pages 120-129.
    15. Temoso, Omphile & Hadley, David & Villano, Renato, 2016. "Performance Measurement of Extensive Beef Cattle Farms in Botswana," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 54(4), March.
    16. Chukwujekwu A. Obianefo & John N. Ng’ombe & Agness Mzyece & Blessing Masasi & Ngozi J. Obiekwe & Oluchi O. Anumudu, 2021. "Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria," Agriculture, MDPI, vol. 11(12), pages 1-13, December.
    17. Gatti, Nicolas & Lema, Daniel & Brescia, Victor, 2015. "A Meta-Frontier Approach to Measuring Technical Efficiency and Technology Gaps in Beef Cattle Production in Argentina," 2015 Conference, August 9-14, 2015, Milan, Italy 211647, International Association of Agricultural Economists.
    18. García-Suárez, Federico & Pérez-Quesada, Gabriela & Molina, Carlos, 2022. "Rangeland cattle production in Uruguay: Single-output versus multi-output efficiency measures," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 22(01), June.
    19. Yongil Jeon & Ishak Haji Omar & K. Kuperan & Dale Squires & Indah Susilowati, 2006. "Developing country fisheries and technical efficiency: the Java Sea purse seine fishery," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1541-1552.
    20. Ku-Hsieh Chen & Hao-Yen Yang, 2011. "A cross-country comparison of productivity growth using the generalised metafrontier Malmquist productivity index: with application to banking industries in Taiwan and China," Journal of Productivity Analysis, Springer, vol. 35(3), pages 197-212, 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:ijfaec:234909. 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/iiaaktr.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.