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Directional Distance Function Technical Efficiency of Chili Production in Thailand

Author

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  • Wirat Krasachat

    (KMITL Business School, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand)

  • Suthathip Yaisawarng

    (Economics Department, Union College, Schenectady, NY 12308, USA)

Abstract

To overcome the challenging food safety and security problem, in 2003, the Thai government initiated ‘Good Agricultural Practices’ (GAP) technology. This paper used a sample of 107 small chili farms from the Chiyaphoom province for the 2012 crop year, and data envelopment analysis (DEA) meta-frontier directional distance function technique to answer two questions: (1) Are GAP-adopting farms, on average, more efficient than conventional farms? (2) Does access to GAP technology affect farmers’ decisions to adopt GAP technology? We also developed an ‘indirect’ approach to reduce the potential sample selection bias for small samples. For the dry-season subsample, GAP farms were more technically efficient when compared with non-GAP farms. These dry-season non-GAP farms may not adopt the GAP method because they have limited access to GAP technology. For the rainy-season subsample, on average, GAP farms were more efficient than non-GAP farms at the 5% level. Access to the GAP technology is not a possible reason for non-GAP rainy season farms to not adopt the GAP technology. To enable sustainable development, government agencies and nongovernmental organizations (NGOs) must develop and implement appropriate educational and training workshops to promote and assist GAP technology adoption for chili farms in Thailand.

Suggested Citation

  • Wirat Krasachat & Suthathip Yaisawarng, 2021. "Directional Distance Function Technical Efficiency of Chili Production in Thailand," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:741-:d:480034
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    as
    1. S C Ray, 2008. "The directional distance function and measurement of super-efficiency: an application to airlines data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 788-797, June.
    2. Madau, Fabio A., 2015. "Technical and Scale Efficiency in the Italian Citrus Farming: Comparison between SFA and DEA Approaches," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-13.
    3. Vu Hoang Linh, 2012. "Efficiency of rice farming households in Vietnam," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 11(1), pages 60-73, April.
    4. Theodoros Skevas & Alfons Oude Lansink, 2014. "Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(1), pages 191-211, January.
    5. Aldieri, Luigi & Makkonen, Teemu & Paolo Vinci, Concetto, 2020. "Environmental knowledge spillovers and productivity: A patent analysis for large international firms in the energy, water and land resources fields," Resources Policy, Elsevier, vol. 69(C).
    6. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2019. "On selecting directions for directional distance functions in a non-parametric framework: a review," Annals of Operations Research, Springer, vol. 278(1), pages 43-76, July.
    7. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    8. Thuzar Linn & Broos Maenhout, 2019. "Measuring the Efficiency of Rice Production in Myanmar Using Data Envelopment Analysis," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 16(2), pages 1-24, December.
    9. 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.
    10. Sumonwan Jirarud & Suneeporn Suwanmaneepong, 2020. "Technical efficiency of rice farmers under the large agricultural plot scheme in Khlong Khuean District, Chachoengsao Province, Thailand," World Review of Entrepreneurship, Management and Sustainable Development, Inderscience Enterprises Ltd, vol. 16(2), pages 228-240.
    11. Hai-Dang Nguyen & Thanh Ngo & Tu DQ Le & Huong Ho & Hai T.H. Nguyen, 2019. "The Role of Knowledge in Sustainable Agriculture: Evidence from Rice Farms’ Technical Efficiency in Hanoi, Vietnam," Sustainability, MDPI, vol. 11(9), pages 1-10, April.
    12. Esso-hanam Atake, 2015. "Technical efficiency of public hospitals in Togo: A directional distance function approach," Economics Bulletin, AccessEcon, vol. 35(3), pages 1752-1764.
    13. 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.
    14. Jarrett Hart & Dragan Miljkovic & Saleem Shaik, 2015. "The impact of trade openness on technical efficiency in the agricultural sector of the European Union," Applied Economics, Taylor & Francis Journals, vol. 47(12), pages 1230-1247, March.
    15. Kallika Taraka & Ismail Abd. Latif & Shaufique bin Ahmad Sidique & Mad Nasir Shamsudin, 2012. "Estimation of Technical Efficiency for Rice Farms in Central Thailand Using Stochastic Frontier Approach," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 9(2), pages 1-11, December.
    16. Robertson R.B. Khataza & Atakelty Hailu & Graeme J. Doole & Marit E. Kragt & Arega D. Alene, 2019. "Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 237-246, March.
    17. Subervie, Julie & Vagneron, Isabelle, 2012. "Can Fresh Produce Farmers Benefit from Global Gap Certification? The case of lychee producers in Madagascar," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126704, International Association of Agricultural Economists.
    18. Tun, YuYu & Kang, Hye-Jung, 2015. "An Analysis on the Factors Affecting Rice Production Efficiency in Myanmar," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 19(2), pages 167-188, June.
    19. Watanabe, Michio & Tanaka, Katsuya, 2007. "Efficiency analysis of Chinese industry: A directional distance function approach," Energy Policy, Elsevier, vol. 35(12), pages 6323-6331, December.
    20. Ben Yahia, Fatma & Essid, Hédi & Rebai, Sonia, 2018. "Do dropout and environmental factors matter? A directional distance function assessment of tunisian education efficiency," International Journal of Educational Development, Elsevier, vol. 60(C), pages 120-127.
    21. Skevas, Theodoros & Lansink, Alfons Oude & Stefanou, Spiro E., 2012. "Measuring technical efficiency in the presence of pesticide spillovers and production uncertainty: The case of Dutch arable farms," European Journal of Operational Research, Elsevier, vol. 223(2), pages 550-559.
    22. Taraka, Kallika & Latif, Ismail Abd. & Shamsudin, Mad Nasir & Sidique, Shaufique bin Ahmad, 2012. "Estimation of Technical Efficiency for Rice Farms in Central Thailand Using Stochastic Frontier Approach," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 9(2), pages 1-11, December.
    23. Rolf Färe & Shawna Grosskopf, 2000. "Theory and Application of Directional Distance Functions," Journal of Productivity Analysis, Springer, vol. 13(2), pages 93-103, March.
    24. Linn, Thuzar & Maenhout, Broos, 2019. "Measuring the Efficiency of Rice Production in Myanmar Using Data Envelopment Analysis," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 16(2), December.
    25. Pepijn Schreinemachers & Iven Schad & Prasnee Tipraqsa & Pakakrong Williams & Andreas Neef & Suthathip Riwthong & Walaya Sangchan & Christian Grovermann, 2012. "Can public GAP standards reduce agricultural pesticide use? The case of fruit and vegetable farming in northern Thailand," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 29(4), pages 519-529, December.
    26. 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.
    27. Huang, Tai-Hsin & Chiang, Dien-Lin & Tsai, Chao-Min, 2015. "Applying the New Metafrontier Directional Distance Function to Compare Banking Efficiencies in Central and Eastern European Countries," Economic Modelling, Elsevier, vol. 44(C), pages 188-199.
    28. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
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    Cited by:

    1. Wirat Krasachat, 2023. "The Effect of Good Agricultural Practices on the Technical Efficiency of Chili Production in Thailand," Sustainability, MDPI, vol. 15(1), pages 1-25, January.
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    3. Runqi Lun & Qiyou Luo & Mingjie Gao & Guojing Li & Tengda Wei, 2023. "How to Break the Bottleneck of Potato Production Sustainable Growth—A Survey from Potato Main Producing Areas in China," Sustainability, MDPI, vol. 15(16), pages 1-16, August.

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