The effect of hybrid rice seeds adoption on the technical efficiency of rice farmers in Vietnam
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Keywords

Agricultural technology adoption
hybrid rice seeds
stochastic production frontier analysis
technical efficiency
Vietnam áp dụng công nghệ nông nghiệp
giống lúa lai
hàm sản xuất biên ngẫu nhiên
hiệu quả kỹ thuật
Việt Nam

Abstract

Agricultural technology adoption is one of the crucial factors to increase the productivity and efficiency of agricultural production in developing countries. This study analyzes the effect of hybrid rice seeds adoption on the technical efficiency of rice farmers in Vietnam by using the dataset of the Vietnam Household Resource Access Survey 2018 (VARHS 2018). The paper employs the stochastic production frontier analysis (SFA) method with two stages including the production function model and inefficiency model to examine the influence of the hybrid rice seeds adoption on the technical efficiency of rice production. The estimation results show that the adoption of hybrid rice varieties increases the level of technical efficiency. In addition, the results show that the group of households adopting the hybrid rice seeds has higher productivity and technical efficiency levels than the non-adopters. From the results above, we suggest relevant policy implications to enhance the adoption of hybrid rice seeds and farmers' access to better inputs.

https://doi.org/10.26459/hueunijed.v133i5A.7273
PDF (Vietnamese)

References

  1. Aigner, D., Lovell, C. K., & Schmidt, P. (1977), Formulation and estimation of stochastic frontier production function models, Journal of econometrics, 6(1), 21–37. https://doi.org/10.1016/0304-4076(77)90052-5.
  2. Anwar, M., Zulfiqar, F., Ferdous, Z., Tsusaka, T. W., & Datta, A. (2021), Productivity, profitability, efficiency, and land utilization scenarios of rice cultivation: An assessment of hybrid rice in Bangladesh. Sustainable Production and Consumption, 26, 752–758. https://doi.org/10.1016/j.spc.2020.12.035.
  3. Asante, B. O., Temoso, O., Addai, K. N., & Villano, R. A. (2019), Evaluating productivity gaps in maize production across different agroecological zones in Ghana, Agricultural Systems, 176, 102650. https://doi.org/10.1016/j.agsy.2019.102650.
  4. Asfaw, S., Kassie, M., Simtowe, F., & Lipper, L. (2012), Poverty reduction effects of agricultural technology adoption: A micro- evidence from rural Tanzania, Journal of Development Studies, 48(9), 1288–1305. https://doi.org/10.1080/00220388.2012.671475.
  5. Battese, G. E. & Coelli, T. J. (1995), A model for technical inefficiency effects in a stochastic frontier production function for panel data, Empirical economics, 20(2), 325–332. https://doi.org/10.1007/BF01205442.
  6. Battese, G. E. & Corra, G. S. (1977), Estimation of a production frontier model: With application to the pastoral zone of Eastern Australia, Australian journal of agricultural economics, 21(3), 169–179. https://doi.org/10.1111/j.1467-8489.1977.tb00204.x.
  7. Benedetti, I., Branca, G., & Zucaro, R. (2019), Evaluating input use efficiency in agriculture through a stochastic frontier production: An application on a case study in Apulia (Italy), Journal of Cleaner Production, 236, 117609. https://doi.org/10.1016/j.jclepro.2019.117609.
  8. Chiona, S., Kalinda, T., & Tembo, G. (2014), Stochastic frontier analysis of the technical efficiency of smallholder maize farmers in Central Province, Zambia, Journal of Agricultural Science, 6(10), 108. http://dx.doi.org/10.5539/jas.v6n10p108.
  9. Coelli, T. J., Rao, D. S. P., O’Donnell, C. J., & Battese, G. E. (2005), An introduction to efficiency and productivity analysis, Springer Science & Business Media.
  10. Faltermeier, L., & Abdulai, A. (2009), The impact of water conservation and intensification technologies: Empirical evidence for rice farmers in Ghana, Agricultural Economics, 40(3), 365–379. https://doi.org/10.1111/j.1574-0862.2009.00383.x.
  11. Geffersa, A. G., Agbola, F. W., & Mahmood, A. (2019), Technical efficiency in crop production across agro-ecological zones in Ethiopia: A meta-analysis of Frontier studies, Outlook on agriculture, 48(1), 5–15. https://doi.org/10.1177/0030727019830416.
  12. Hoan, N. T. (2012), Recent achievements in research and development of hybrid rice in Vietnam, IRRI is the lead institute for the CGIAR Research Program on Rice, known as the Global Rice Science Partnership (GRiSP; www. cgiar. org/our-research/cgiar-research-programs/rice-grisp). GRiSP provides a single strategic plan and unique new partnership platform for impact-oriented rice research for development. The responsibility for this publication rests with the International Rice Research Institute, 10, 73.
  13. Huỳnh Trường Huy (2007), Phân tích tác động của khoa học kỹ thuật đến hiệu quả sản xuất lúa tại Cần Thơ và Sóc Trăng, Tạp chí khoa học Đại học Cần Thơ, (8), 47–56.
  14. Jondrow, J., Lovell, C. K., Materov, I. S., & Schmidt, P. (1982), On the estimation of technical inefficiency in the stochastic frontier production function model, Journal of econometrics, 19 (2–3), 233–238. https://doi.org/10.1016/0304-4076(82)90004-5.
  15. Khai, H. V., & Yabe, M. (2011), Technical efficiency analysis of rice production in Vietnam, Journal of ISSAAS, 17(1), 135–146.
  16. Lê Văn Dễ & Phạm Lê Thông (2019), Hiệu quả kỹ thuật trong sản xuất bắp lai ở Đồng bằng Sông Cửu Long, Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh-Khoa học Xã hội, 14(1), 16–30.
  17. Loevinsohn, M., Sumberg, J., Diagne, A., & Whitfield, S. (2013), Under what circumstances and conditions does adoption of technology result in increased agricultural productivity? A Systematic Review.
  18. Meeusen, W. & Vandenbroeck, J. (1977), Efficiency estimation from Cobb–Douglas production functions with composed error, International Economic Review, 18(2), 435–445. https://doi.org/10.2307/2525757.
  19. Ngô Anh Tuấn & Nguyễn Hữu Đặng (2019), Các yếu tố ảnh hưởng đến hiệu quả kỹ thuật của các hộ trồng lúa Jasmine tại huyện Châu Thành, tỉnh An Giang, Tạp chí Khoa học Đại học cần Thơ, 55 (CĐ Kinh tế), 108–114.
  20. Nguyen Chau, T., & Scrimgeour, F. (2022), Productivity impacts of hybrid rice seeds in Vietnam, Journal of Agricultural Economics, 73(2), 414–429. https://doi.org/10.1111/1477-9552.12458.
  21. Rahman, S. M., & Norton, G. W. (2019), Farm-level impacts of eggplant integrated pest management: A stochastic frontier production function approach, International Journal of Vegetable Science, 25(6), 590–600. https://doi.org/10.1080/19315260.2019.1566188.
  22. Reardon, T., Barrett, C. B., Berdegué, J. A., & Swinnen, J. F. (2009), Agrifood industry transformation and small farmers in developing countries, World Development, 37(11), 1717–1727. https://doi.org/10.1016/j.worlddev.2008.08.023.
  23. Salam, M. A., & Sarker, M. N. I. (2023), Impact of hybrid variety adoption on the performance of rice farms in Bangladesh: A propensity score matching approach, World Development Sustainability, 2, 100042. https://doi.org/10.1016/j.wds.2023.100042.
  24. Sheahan, M., & Barrett, C. B. (2017), Ten striking facts about agricultural input use in Sub-Saharan Africa, Food Policy, 67, 12–25. https://doi.org/10.1016/j.foodpol.2016.09.010.
  25. Soe, E. T., Takahashi, Y., & Yabe, M. (2020), Adoption of improved soybean varieties and differences in technical efficiency between improved and local soybean varieties in Southern Shan State, Myanmar, Journal of Agricultural Science, 12(8), 55. https://doi.org/10.5539/jas.v12n8p55.
  26. Suvedi, M., Ghimire, R., & Kaplowitz, M. (2017), Farmers’ participation in extension programs and technology adoption in rural Nepal: A logistic regression analysis, The Journal of Agricultural Education and Extension, 23(4), 351–371. https://doi.org/10.1080/1389224X.2017.1323653.
  27. Syafrial, S., Toiba, H., Retnoningsih, D., Purwanti, T. S., & Rahman, M. S. (2022), Do Livelihood Capitals Improve Food Security among Smallholder Farmers? Evidence from Horticulture Farmers in East Java, Indonesia, Asian Journal of Agriculture and Rural Development, 12(4), 250–259. DOI: 10.55493/5005.v12i4.4642.
  28. Tetteh Anang, B., Alhassan, H., & Danso-Abbeam, G. (2020), Estimating technology adoption and technical efficiency in smallholder maize production: A double bootstrap DEA approach, Cogent Food & Agriculture, 6(1), 1833421. https://doi.org/10.1080/23311932.2020.1833421.
  29. Thanh, P. T., & Duong, P. B. (2021), Economic impacts of hybrid rice varieties in vietnam: An instrumental analysis, Journal of Agricultural Science and Technology, 23(6), 1195–1211.
  30. Tổng cục Thống kê (2022), Cơ sở dữ liệu thống kê của Tổng cục Thống kê Việt Nam, Bộ Kế hoạch và Đầu tư, Việt Nam.
  31. Tung, D. T. (2013), Changes in the technical and scale efficiency of rice production activities in the Mekong delta, Vietnam, Agricultural and Food Economics, 1, 1–11. https://doi.org/10.1186/2193-7532-1-16.
  32. Varma, P. (2019), Adoption and the impact of system of rice intensification on rice yields and household income: An analysis for India, Applied Economics, 51(45), 4956–4972. https://doi.org/10.1080/00036846.2019.1606408.
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