The performance measurement and productivity change of agro and food industry in the stock exchange of Thailand R., Peng K., Wongchai A. (2018): The performance measurement and productivity change of agro and food industry in the stock exchange of Thailand. Agric. Econ. – Czech, 64: 89-99.
download PDF

At present, the agro and food industry has a high influence to farmers in Thailand. Most of the raw materials of agriculture are sent to its manufactoring. This industry has an important role to raise the growth of the Thai economy. The main objective of the paper is to study the production trends and ability operations of the agro and food industry by using economic tools analyse two sub-industry sectors. The paper reviewed literatures on the performance measurement and productivity change of the business sector to obtain the relative variables and optimal methodology. The paper designed to use the panel data of the agro and food industry during the period 2011–2014. The Slacks-based Measure context-dependent Data Envelopment Analysis (SBM context-dependent DEA) was used to analyse the efficiency and ability in the Decision Making Units (DMUs) by employing the attractiveness and progress score. Moreover, the Malmquist index was used to demonstrate the change of the total productivity of this industry. Therefore, the empirical results of the paper can help the companies inside and outside the stock exchange of the agro and food industry to realize the performance level and benchmark leading to the improvement of their operation. Moreover, they help the government to develop its policy and to understand the character of the sub-industry sectors and the productivity trend in this industry.

Banker R. D., Charnes A., Cooper W. W. (1984): Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30, 1078-1092
Cechura L., Kroupova Z., Rudinskaya T. (2016): Factors determining TFP changes in Czech agriculture. Agricultural Economics (Zemědělská ekonomika), 61, 543-551
Charnes A., Cooper W.W., Rhodes E. (1978): Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444
Cheng H., Lu Y.C., Chung J.T. (2009): Performance benchmarking by improved slack-based context-dependent DEA for the hotel industry in Taiwan. Management Review, 28: 141–146.
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, 132, 245-259
Fang Hong, Wu Junjie, Zeng Catherine (2009): Comparative study on efficiency performance of listed coal mining companies in China and the US. Energy Policy, 37, 5140-5148
Färe R., Grosskopf S., Norris M., Zhongyang Z. (1994): Productivity growth, technical progress and efficiency change in industrialised countries. The American Economic Review, 84: 66–83.
Färe Rolf, Knox Lovell C.A (1978): Measuring the technical efficiency of production. Journal of Economic Theory, 19, 150-162
Farrell M. J. (1957): The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120, 253-
Liu Shiang-Tai (2011): Performance measurement of Taiwan financial holding companies: An additive efficiency decomposition approach. Expert Systems with Applications, 38, 5674-5679
Lozano S., Gutiérrez E. (2011): Slacks-based measure of efficiency of airports with airplanes delays as undesirable outputs. Computers & Operations Research, 38: 131–139.
Malmquist Sten (1953): Index numbers and indifference surfaces. Trabajos de Estadistica, 4, 209-242
MORITA H, HIROKAWA K, ZHU J (2005): A slack-based measure of efficiency in context-dependent data envelopment analysis. Omega, 33, 357-362
Overseas Development Institute (2010): The report of Thailand’s progress in agriculture: Transition and sustained productivity growth. Available at http:// www.development
Ouenniche Jamal, Xu Bing, Tone Kaoru (2014): Forecasting Models Evaluation Using A Slacks-Based Context-Dependent DEA Framework. Journal of Applied Business Research (JABR), 30, 1477-
Seiford Lawrence M., Zhu Joe (2003): Context-dependent data envelopment analysis—Measuring attractiveness and progress. Omega, 31, 397-408
Soltane Bassem Ben (2014): Total factor productivity change of MENA microfinance institutions: A Malmquist productivity index approach. Economic Modelling, 39, 182-189
Stock exchange of Thailand (2014): Annual Financial Report of Agriculture and Food Industry in 2014. Available at http://marketdata.
Sunil K., Rachita G. (2008): An examination of technical, pure technical, and scale efficiencies in Indian public sector banks using data envelopment analysis. Eurasian Journal of Business and Economics, 1: 33–69.
The Customs Department of Thailand (2014): Import-Export statistic of agricultural product of Thailand. Available at
Baležentis Tomas, Baležentis Alvydas (2014): CONTEXT-DEPENDENT ASSESSMENT OF THE EFFICIENCY OF LITHUANIAN FAMILY FARMS. Management Theory and Studies for Rural Business and Infrastructure Development, 36, 8-15
Tone Kaoru (2001): A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130, 498-509
Tone Kaoru (2002): A slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143, 32-41
Vukoje V., Dobrenov I. (2011): Financial position of food industry in Vojvodina during the transition period. Agricultural Economics – Czech, 57: 188–195.
Wilmsmeier Gordon, Tovar Beatriz, Sanchez Ricardo J. (2013): The evolution of container terminal productivity and efficiency under changing economic environments. Research in Transportation Business & Management, 8, 50-66
download PDF

© 2021 Czech Academy of Agricultural Sciences | Prohlášení o přístupnosti