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Efficiency of improved peeled longan drying technology in Thailand: A metafrontier approach

Author

Listed:
  • Sombat Singkharat

    (Chiang Mai Rajabhat University)

  • Aree Wiboonpongse

    (Chiang Mai University)

  • Yaovarate Chaovanapoonphol

    (Chiang Mai University)

Abstract

In today’s markets, for manufacturing to remain competitive and productive, development and adoption of improved technology is imperative. Energy efficiency technology is a promising candidate as it can save on energy costs, thus shortening the investment payback period. In addition, it has the added benefit of reducing carbon dioxide emissions, helping mitigate global warming. Longan, a tropical fruit grown in northern Thailand, is a popular food product peeled and dried. Peeled longan drying technology is one such manufacturing process that may potentially benefit from technology improvements. The objective of this study is to analyze the potential efficiency gains from adopting an improved drying oven. The study employed Data Envelopment Analysis to examine technical efficiency and metafrontier estimation for technological impact. Forty-four dried longan processors, using conventional drying ovens, were compared with four processors using improved ovens in Lamphun Province, Thailand. As determined by the Mann-Whitney U test, the technical efficiency of the two groups differed (at 95% statistical significance), allowing for the use of a deterministically constructed metafrontier to calculate the comparable operational efficiencies of the two different technologies. The technical efficiency of the improved technology group (TEi) was higher than the conventional technology group (TEc), 0.998 compared to 0.941, respectively. The key difference between the two drying technologies was fuel consumption (at 99% statistical significance). The improved oven technology enhanced technical efficiency by reducing fuel input by 26.1% per oven. If all 305 traditional ovens were converted to the improved technology, this would reduce fuel use by approximately 60 metric tons/day, saving over THB 70,000 per day. This fuel savings would also reduce carbon dioxide emissions by 100 tons/day.

Suggested Citation

  • Sombat Singkharat & Aree Wiboonpongse & Yaovarate Chaovanapoonphol, 2012. "Efficiency of improved peeled longan drying technology in Thailand: A metafrontier approach," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 1(3), pages 19-32, September.
    • Handle: RePEc:chi:journl:v:1:y:2012:i:3:p:19-32
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    References listed on IDEAS

    as
    1. Bos, J.W.B. & Kool, C.J.M., 2006. "Bank efficiency: The role of bank strategy and local market conditions," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1953-1974, July.
    2. Huang, Yi-Ju & Chen, Ku-Hsieh & Yang, Chih-Hai, 2010. "Cost efficiency and optimal scale of electricity distribution firms in Taiwan: An application of metafrontier analysis," Energy Economics, Elsevier, vol. 32(1), pages 15-23, January.
    3. Portela, Maria C.A.S. & Thanassoulis, Emmanuel, 2010. "Malmquist-type indices in the presence of negative data: An application to bank branches," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1472-1483, July.
    4. Y. (Kai) Chaovanapoonphol & G. E. Battese & H. -S. (Christie) Chang, 2009. "The Impact of Agricultural Loans on the Technical Efficiency of Rice Farmers in the Upper North of Thailand," Contributions to Economics, in: Jeong-Dong Lee & Almas Heshmati (ed.), Productivity, Efficiency, and Economic Growth in the Asia-Pacific Region, chapter 13, pages 279-295, Springer.
    5. Arnold, J.E. Michael & Kohlin, Gunnar & Persson, Reidar, 2006. "Woodfuels, livelihoods, and policy interventions: Changing Perspectives," World Development, Elsevier, vol. 34(3), pages 596-611, March.
    6. Chen, Zhuo & Song, Shunfeng, 2008. "Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis," China Economic Review, Elsevier, vol. 19(2), pages 287-296, June.
    7. Maru, Yiheyis T. & McAllister, Ryan R.J. & Smith, Mark Stafford, 2007. "Modelling community interactions and social capital dynamics: The case of regional and rural communities of Australia," Agricultural Systems, Elsevier, vol. 92(1-3), pages 179-200, January.
    8. Kounetas, Konstantinos & Mourtos, Ioannis & Tsekouras, Konstantinos, 2012. "Is energy intensity important for the productivity growth of EET adopters?," Energy Economics, Elsevier, vol. 34(4), pages 930-941.
    9. Rhee, Hae-Chun & Chung, Hyun-Sik, 2006. "Change in CO2 emission and its transmissions between Korea and Japan using international input-output analysis," Ecological Economics, Elsevier, vol. 58(4), pages 788-800, July.
    10. Kounetas, Konstantinos & Mourtos, Ioannis & Tsekouras, Konstantinos, 2009. "Efficiency decompositions for heterogeneous technologies," European Journal of Operational Research, Elsevier, vol. 199(1), pages 209-218, November.
    11. 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.
    12. 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.
    13. J. -D. Lee & A. Heshmati, 2009. "Introduction Productivity, Efficiency, and Economic Growth in the Asia-Pacific Region," Contributions to Economics, in: Jeong-Dong Lee & Almas Heshmati (ed.), Productivity, Efficiency, and Economic Growth in the Asia-Pacific Region, pages 1-10, Springer.
    14. Lee, Daeho & Hwang, Junseok, 2011. "Network neutrality and difference in efficiency among Internet application service providers: A meta-frontier analysis," Telecommunications Policy, Elsevier, vol. 35(8), pages 764-772, September.
    15. Torben Tiedemann & Tammo Francksen & Uwe Latacz-Lohmann, 2011. "Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 571-587, December.
    16. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    17. Jeong-Dong Lee & Almas Heshmati (ed.), 2009. "Productivity, Efficiency, and Economic Growth in the Asia-Pacific Region," Contributions to Economics, Springer, number 978-3-7908-2072-0, January.
    18. 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.
    19. Dagoumas, A.S. & Papagiannis, G.K. & Dokopoulos, P.S., 2006. "An economic assessment of the Kyoto Protocol application," Energy Policy, Elsevier, vol. 34(1), pages 26-39, January.
    20. Battese, G. E. & Tessema, G. A., 1993. "Estimation of stochastic frontier production functions with time-varying parameters and technical efficiencies using panel data from Indian villages," Agricultural Economics, Blackwell, vol. 9(4), pages 313-333, December.
    21. Thiam, Abdourahmane & Bravo-Ureta, Boris E. & Rivas, Teodoro E., 2001. "Technical efficiency in developing country agriculture: a meta-analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 235-243, September.
    22. G.E. Battese & G.A. Tessema, 1993. "Estimation of stochastic frontier production functions with time‐varying parameters and technical efficiencies using panel data from Indian villages," Agricultural Economics, International Association of Agricultural Economists, vol. 9(4), pages 313-333, December.
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    More about this item

    Keywords

    Metafrontier; Dried longan; CO2 emissions; Energy reduction; Community enterprises;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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