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The performance measurement of listed companies of the agribusiness sector on the stock exchange of Thailand

Author

Listed:
  • Rapee PONGPANICH

    (Department of Tropical Agriculture and International Cooperation, National Pingtung University of Science and Technology, Taiwan)

  • Ke-Chung PENG

    (Department of Agribusiness Management, National Pingtung University of Science and Technology, Taiwan)

  • Kamonthip MAICHUM

    (Department of Tropical Agriculture and International Cooperation, National Pingtung University of Science and Technology, Taiwan)

Abstract

Listed companies in the agribusiness sector of the stock exchange play a key role in driving the economic system of Thailand. They have an important role in terms of being the producers of agricultural commodities by covering all products from the upstream to downstream. The performance measurements of listed companies contain important information for forecasting the trends of agricultural production and yield. The paper studied and considered much of the literature on the performance measurement of organizations to look for relative variables and the optimal methodology. The study used panel data from 2011-2014, which collected the listed annual companies' statements. The aim of the study was to employ the Slacks Based Measure context-dependent Data Envelopment Analysis (SBM context-dependent DEA) for evaluating the efficiency in Decision Making Units (DMUs). The SBM context-dependent DEA was used to measure the performance of listed companies by employing attractiveness and progress scores. The results showed that when a listed company has a higher attractiveness and lower progress score, it has a better performance than its competitors and does not need to improve its efficiency. Therefore, the empirical results of the study can help farmers and governments to realize the trends of agricultural productivity and also help the listed companies to understand the characteristics of their competitors, leading to improvements in their organizations.

Suggested Citation

  • Rapee PONGPANICH & Ke-Chung PENG & Kamonthip MAICHUM, 2017. "The performance measurement of listed companies of the agribusiness sector on the stock exchange of Thailand," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(5), pages 234-245.
    • Handle: RePEc:caa:jnlage:v:63:y:2017:i:5:id:291-2015-agricecon
    DOI: 10.17221/291/2015-AGRICECON
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    References listed on IDEAS

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    1. Yao Chen & Joe Zhu, 2003. "DEA Models for Identifying Critical Performance Measures," Annals of Operations Research, Springer, vol. 124(1), pages 225-244, November.
    2. Serifsoy, Baris, 2007. "Stock exchange business models and their operative performance," Journal of Banking & Finance, Elsevier, vol. 31(10), pages 2978-3012, October.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Hasan, Iftekhar & Malkamaki, Markku & Schmiedel, Heiko, 2003. "Technology, automation, and productivity of stock exchanges: International evidence," Journal of Banking & Finance, Elsevier, vol. 27(9), pages 1743-1773, September.
    5. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    6. Seiford, Lawrence M. & Zhu, Joe, 2003. "Context-dependent data envelopment analysis--Measuring attractiveness and progress," Omega, Elsevier, vol. 31(5), pages 397-408, October.
    7. Morita, Hiroshi & Hirokawa, Koichiro & Zhu, Joe, 2005. "A slack-based measure of efficiency in context-dependent data envelopment analysis," Omega, Elsevier, vol. 33(4), pages 357-362, August.
    8. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    9. Kadoya, Susumu & Kuroko, Takashi & Namatame, Takashi, 2008. "Contrarian investment strategy with data envelopment analysis concept," European Journal of Operational Research, Elsevier, vol. 189(1), pages 120-131, August.
    10. Watanabe, Michio & Jinji, Naoto & Kurihara, Mitsuyo, 2009. "Is the development of the agro-processing industry pro-poor?: The case of Thailand," Journal of Asian Economics, Elsevier, vol. 20(4), pages 443-455, September.
    11. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    12. Hoevenaars, Roy P.M.M. & Molenaar, Roderick D.J. & Schotman, Peter C. & Steenkamp, Tom B.M., 2008. "Strategic asset allocation with liabilities: Beyond stocks and bonds," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2939-2970, September.
    13. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
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    1. Mindlin, Yury & Novikov, Mikhail & Yakovleva, Olga, 2022. "Assessment and ways to increase the rate of return in the Russian medium-sized agricultural enterprises," Russian Peasant Studies, Russian Presidential Academy of National Economy and Public Administration, vol. 7, pages 6-19.
    2. Zhang, Lulu & Shi, Qi & Zhou, Ning, 2024. "The influence of grain futures market on stock price fluctuation of agricultural listed companies," Finance Research Letters, Elsevier, vol. 59(C).

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