Technical Efficiency Measurement of Cassava Production of Thailand

Surakiat  Parichatnon; Kamonthip Parichatnon; Poranee  Loatong; Manote  Rithinyo

Authors

Surakiat Parichatnon Faculty of Management Technology, Rajamangala University of Technology Isan Surin Campus, Muang District, Surin Province 32000, Thailand
Kamonthip Parichatnon Faculty of Management Technology, Rajamangala University of Technology Isan Surin Campus, Muang District, Surin Province 32000, Thailand https://orcid.org/0000-0001-6874-4602
Poranee Loatong Faculty of Management Technology, Rajamangala University of Technology Isan Surin Campus, Muang District, Surin Province 32000, Thailand
Manote Rithinyo Faculty of Engineering and Technology, Rajamangala University of Technology Isan, Mueang Nakhon Ratchasima District, Nakhon Ratchasima Province 30000, Thailand

Keywords:

Cassava, Technical Efficiency, Stochastic Frontier Analysis

Abstract

Currently, cassava producers face numerous economic and natural challenges that impact production. This research aims to examine the technical efficiency of cassava cultivation under existing technologies, as well as the factors contributing to technical inefficiency in cassava cultivation in Thailand. The study uses secondary data from cassava production during the 2022/23 growing season, with a sample of 400 farmers. Data analysis is conducted through descriptive statistics and Stochastic Frontier Analysis (SFA) using a Cobb-Douglas production function model. Factors affecting technical inefficiency (TI) are analyzed using Maximum Likelihood Estimation (MLE) to estimate coefficients. The study found that the factors influencing cassava production include land area and fertilizer quantity, at a significance level of 0.01. Thailand’s average technical efficiency score stands at 0.852, indicating a high level of technical efficiency. Four factors contributed to technical inefficiency: production experience, frequency of training, age of the farmer, and disease affecting production. To maximize production efficiency, relevant agencies should support farmer training on appropriate fertilizer use, sustainable land management, plant disease prevention and control, and efficient production practices to reduce yield losses. Improving the use of these resources will enable farmers to fully enhance production efficiency, reduce environmental impact, and increase food security, aligning with Sustainable Development Goals (SDGs) Goal 2 on eliminating hunger, and Goal 12 on sustainable production and consumption.

References

Abdul-Kareem, M. M., & Isgin, T. (2016). Technical Efficiency of Cassava Production in the Savannah Zone of Northern Ghana: Stochastic Frontier Analysis. Journal of Biology, Agriculture and Healthcare, 6(20), 62–72.

Afriat, S. N. (1972). Efficiency Estimation of Production Functions. International Economic Review, 13(3), 568–598.

Aigner, D. J., & Chu, S. F. (1968). On estimating the industry production function. The American economic review, 58(4), 826-839.

ASEAN Cassava Centre. (2024). Thailand: Cassava Cultivation Situation. Sustainablecassava. https://sustainablecassava.org/national-centre/article/Thailand-Article-2024-5-1/

Bala, M., Shamsudin, M. N., Radam, A., & Abd Latif, I. (2018). Profit Efficiency Among Cotton Farmers: A Cobb–Douglas Stochastic Frontier Production Function Analysis. Journal of Asian Scientific Research, 8(7), 237–246. https://doi.org/10.18488/ journal.2.2018.87.237.246

Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Becker, G. S. (1993). Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education (3rd ed.). University of Chicago Press.

Chandel, R. B. S., Khan, A., Li, X., & Xia, X. (2022). Farm-Level Technical Efficiency and its Determinants of Rice Production in the Indo-Gangetic Plains: A Stochastic Frontier Model Approach. Sustainability, 14(4), 2267. https://doi.org/10.3390/su14042267

Chikezie, C., Benchendo, G. N., Ibeagwa, O. B., Oshaji, I. O., & Onuzulu, O. A. (2020). Analysis of Technical Efficiency Among Rice Farmers in Ebonyi State of Nigeria: A Stochastic Frontier Approach. Journal of Agriculture and Food Sciences, 18(1), 40–49.

Coelli, T. J. (1996). A guide to FRONTIER Version 4.1: A computer program for stochastic frontier production and cost function estimation (CEPA Working Paper No. 96/07). Centre for Efficiency and Productivity Analysis, University of New England. https://www.uq.edu.au/economics/cepa/frontier.php

Food and Agriculture Organization of the United Nations (FAO). (2022). Agricultural Production Statistics 2000-2021. FAO. https://openknowledge.fao.org/handle/20.500.14283/cc2211en

Gbigbi, T. M. (2021). Technical Efficiency and Profitability of Cassava Production in Delta State: A Stochastic Frontier Production Function Analysis. Tekirdağ Ziraat Fakültesi Dergisi, 18(1), 21–31.

Ho, T., & Shimada, K. (2019). Technical Efficiency of Rice Farming in the Vietnamese Mekong Delta: A Stochastic Frontier Approach. Ritsumeikan Economic Review, 67(5–6), 130–144.

Katepan, P., Dokmaithes, R., Mekhora, T., & Raksat, N. (2023). The Adaptation of Cassava Farmers to the Outbreak of Cassava Mosaic Disease in Huai Khaen Community, Moo 2, Non Somboon Subdistrict, Soeng Sang District, Nakhon Ratchasima Province. Journal of Agricultural Research and Extension, 41(1), 173–184. [in Thai]

Khan, S., Shah, S. A., Ali, S., Ali, A., Almas, L. K., & Shaheen, S. (2022). Technical Efficiency and Economic Analysis of Rice Crop in Khyber Pakhtunkhwa: A Stochastic Frontier Approach. Agriculture, 12(4), 503. https://doi.org/10.3390/agriculture12040503

Luar, L., Pampolino, M., Ocampo, A., Valdez, A., Cordora, D., & Oberthür, T. (2018). Cassava Response to Fertilizer Application. Better Crops with Plant Food, 102, 11–13.

Ologbon, O. A. C., Oyebanjo, O., Oluwasanya, O. P., Ilori, A. R., & Fadipe, M. O. (2021). Economic Returns and Technical Efficiency in Cassava-Based Farming Systems in Yewa Communities of Ogun State, Nigeria. Journal of Agricultural Science and Environment, 21(1), 27–39.

Omar, Z., & Fatah, F. A. (2021, May). Determinants of technical efficiency among coconut smallholder production in Johor, Malaysia: A cobb Douglas stochastic frontier production approach. IOP Conference Series: Earth and Environmental Science , 757(1), 012013.

Omondi, J. O., & Yermiyahu, U. (2021). Improvement in cassava yield per area by fertilizer application. In A. Frediansyah (Ed.), Cassava - Biology, production, and use (pp. 1-9). IntechOpen. https://doi.org/10.5772/intechopen.97366

Penrose, E. T. (1959). The theory of the growth of the firm. Basil Blackwell.

Priyanto, M. W., Mulyo, J. H., Irham, I., Perwitasari, H., & Siregar, A. P. (2022). Does Climate Change Adaptation Improve Technical Efficiency of Rice Farming? Findings from Yogyakarta Province, Indonesia. Jurnal Manajemen dan Agribisnis, 19(2), 184–194.

Richmond, J. (1974). Estimating Efficiency of Production. International Economic Review, 15(2), 515–521.

Salam, M., Rukka, R. M., Samma, M. A. N. K., Tenriawaru, A. N., Muslim, A. I., Ali, H. N. B., & Ridwan, M. (2024). The Causal-Effect Model of Input Factor Allocation on Maize Production: Using Binary Logistic Regression in Search for Ways to be More Productive. Journal of Agriculture and Food Research, 16, 101094. https://doi.org/10.1016/j.jafr.2024.101094

Schultz, T. W. (1961). Investment in human capital. The American Economic Review, 51(1), 1–17. https://www.jstor.org/stable/1818907

Shahbandeh, M. (2023). Leading Cassava Producing Countries Worldwide in 2021. Statista. https://www.statista.com/statistics/1391572/global-leading-cassava-producing-countries/

Sheng, Y., & Chancellor, W. (2019). Exploring the Relationship Between Farm Size and Productivity: Evidence from the Australian Grains Industry. Food Policy, 84, 196–204. https://doi.org/10.1016/j.foodpol.2018.03.012

Slack, N., Brandon-Jones, A., & Johnston, R. (2016). Operations management (8th ed.). Pearson Education Limited.

Sowcharoensuk, C. (2024, February 16). Industry Outlook 2024–2026: Cassava Industry. Krungsri Research. https://www.krungsri.com/en/research/industry/industry-outlook/agriculture/cassava/io/cassava-2024-2026 [in Thai]

Thipbharos, P. (2016). Technical Efficiency Approach of Agricultural Producers by Stochastic Frontier Analysis. Journal of Economics Chiang Mai University, 20(2), 93–124. [in Thai]

Triyasari, S. R., & Priyanto, M. W. (2023). Technical Efficiency Analysis of Cassava Farmers on Suboptimal Dry Land. Jurnal Lahan Suboptimal: Journal of Suboptimal Lands, 12(2), 227–234.

Wu, W. (2020). Estimation of Technical Efficiency and Output Growth Decomposition for Small-Scale Rice Farmers in Eastern India: A Stochastic Frontier Analysis. Journal of Agribusiness in Developing and Emerging Economies, 10(2), 139–156.

Yamane, T. (1973). Statistics: An introductory analysis (3rd ed.). Harper & Row.