IDEAS home Printed from https://ideas.repec.org/a/kap/jproda/v21y2004i1p91-103.html
   My bibliography  Save this article

A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies

Author

Listed:
  • George Battese
  • D. Rao
  • Christopher O'Donnell

Abstract

This paper presents a metafrontier production function model for firms in different groups having different technologies. The metafrontier model enables the calculation of comparable technical efficiencies for firms operating under different technologies. The model also enables the technology gaps to be estimated for firms under different technologies relative to the potential technology available to the industry as a whole. The metafrontier model is applied in the analysis of panel data on garment firms in five different regions of Indonesia, assuming that the regional stochastic frontier production function models have technical inefficiency effects with the time-varying structure proposed by Battese and Coelli (1992). Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • 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.
  • Handle: RePEc:kap:jproda:v:21:y:2004:i:1:p:91-103
    DOI: 10.1023/B:PROD.0000012454.06094.29
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/B:PROD.0000012454.06094.29
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/B:PROD.0000012454.06094.29?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. George E. Battese, 1997. "A Note On The Estimation Of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 250-252, January.
    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. Jean Pierre Huiban & Camille Mastromarco & Antonio Musolesi & Michel Simioni, 2016. "The impact of pollution abatement investments on production technology: new insights from frontier analysis," Working Papers hal-01512154, HAL.
    2. Farnaz Pourzand & Mohammad Bakhshoodeh, 2014. "Technical effici ency and agricultural sustainability–technology gap of maize producers in Fars province of Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(3), pages 671-688, June.
    3. Thanh Pham Thien Nguyen & Son Hong Nghiem & Eduardo Roca & Parmendra Sharma, 2016. "Efficiency, innovation and competition: evidence from Vietnam, China and India," Empirical Economics, Springer, vol. 51(3), pages 1235-1259, November.
    4. Lee, Kyoungsun & Park, Yuri & Lee, Daeho, 2018. "Measuring efficiency and ICT ecosystem impact: Hardware vs. software industry," Telecommunications Policy, Elsevier, vol. 42(2), pages 107-115.
    5. Chi Huu Nguyen & Christophe J. Nordman, 2018. "Household Entrepreneurship and Social Networks: Panel Data Evidence from Vietnam," Journal of Development Studies, Taylor & Francis Journals, vol. 54(4), pages 594-618, April.
    6. 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.
    7. Singbo, Alphonse G. & Emvalomatis, Grigorios & Alfons, Oude Lansink, 2013. "Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149172, Agricultural and Applied Economics Association.
    8. Onumah, Edward E. & Hoerstgen-Schwark, Gabriele & Brümmer, Bernhard, 2009. "Productivity of hired and family labour and determinants of technical inefficiency in Ghana's fish farms," DARE Discussion Papers 0907, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    9. 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).
    10. George E. Battese, 1998. "A Methodological Note on a Stochastic Frontier Model for the Analysis of the Effects of Quality of Irrigation Water on Crop Yields," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 37(3), pages 293-298.
    11. MARCHAND, Sébastien & GUO, Huanxiu, 2014. "The environmental efficiency of non-certified organic farming in China: A case study of paddy rice production," China Economic Review, Elsevier, vol. 31(C), pages 201-216.
    12. Morales Sarriera, Javier & Serebrisky, Tomás & Araya, Gonzalo & Briceño-Garmendia, Cecilia & Schwartz, Jordan, 2014. "Benchmarking Container Port Technical Efficiency in Latin America and the Caribbean," IDB Publications (Working Papers) 4702, Inter-American Development Bank.
    13. López-Bermúdez, Beatriz & Freire-Seoane, María Jesús & González-Laxe, Fernando, 2019. "Efficiency and productivity of container terminals in Brazilian ports (2008–2017)," Utilities Policy, Elsevier, vol. 56(C), pages 82-91.
    14. Xiangfei Xin & Yi Zhang & Jimin Wang & John Alexander Nuetah, 2016. "Effects of Farm Size on Technical Efficiency in China's Broiler Sector: A Stochastic Meta-Frontier Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 493-516, September.
    15. Arne Henningsen & Tomasz Gerard Czekaj & Björn Forkman & Mogens Lund & Aske Schou Nielsen, 2018. "The Relationship between Animal Welfare and Economic Performance at Farm Level: A Quantitative Study of Danish Pig Producers," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(1), pages 142-162, February.
    16. Ryu, Min Ho & Cho, Yongsun & Lee, Daeho, 2019. "Should small-scale online retailers diversify distribution channels into offline channels? Focused on the clothing and fashion industry," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 74-77.
    17. Suárez-Alemán, Ancor & Morales Sarriera, Javier & Serebrisky, Tomás & Trujillo, Lourdes, 2016. "When it comes to container port efficiency, are all developing regions equal?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 56-77.
    18. Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2017. "Technical efficiency for Colombian small crop and livestock farmers: A stochastic metafrontier approach for different production systems," Journal of Productivity Analysis, Springer, vol. 47(1), pages 1-16, February.
    19. Nonthakot, Phanin & Villano, Renato A., 2008. "Migration and Farm Efficiency: Evidence from Northern Thailand," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 5981, Australian Agricultural and Resource Economics Society.
    20. repec:dau:papers:123456789/12203 is not listed on IDEAS
    21. Larson, Donald F. & Plessmann, Frank, 2002. "Do farmers chooseto be inefficient? evidence from Bicol, Philippines," Policy Research Working Paper Series 2787, The World Bank.

    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:kap:jproda:v:21:y:2004:i:1:p:91-103. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.springer.com .

    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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.