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GENERAL & APPLIED ECONOMICS

Training, technology upgrading, and total factor productivity improvement of farms: A case of cassava (Manihot esculenta Crantz) production in Dak Lak province, Vietnam

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Article: 2023270 | Received 10 Jun 2020, Accepted 18 Dec 2021, Published online: 12 Jan 2022

References

  • Adetola, I. (2009). Factors influencing irrigation technology adoption and its impact on household poverty in Ghana. Journal of Agriculture and Rural Development in the Tropics and Subtropics, 109(1), 51–13 https://www.jarts.info/index.php/jarts/article/view/73/66.
  • Akudugu, M. A., Guo, E., & Dadzie, S. K. (2012). Adoption of modern agricultural production technologies by farm households in Ghana: What factors influence their decisions? Journal of Biology, Agriculture and Healthcare, 2(3), 1–13 https://www.iiste.org/Journals/index.php/JBAH/article/view/1522/1454.
  • Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078
  • 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
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
  • Cinemre, H. A., Ceyhan, V., Bozoğlu, M., Demiry Ürek, K., & Kılıç, O. (2006). The cost efficiency of trout farms in the Black Sea region, Turkey. Turkey Aquaculture, 251(2–4), 324–333. https://doi.org/10.1016/j.aquaculture.2005.06.016
  • Cock, J. (1982). Cassava: A Basic Energy Source in the Tropics. Science, 218(4574), 755–762. https://doi.org/10.1126/science.7134971
  • Coelli, T., Rao, D. S. P., & Battese, G. E. (1998). An introduction to efficiency and productivity analysis. Kluwer Academic.
  • Cramb, R., Manivong, V., Newby, J. C., Sothorn, K., & Sibat, P. S. (2017). Alternatives to land grabbing: Exploring conditions for smallholder inclusion in agricultural commodity chains in Southeast Asia. The Journal of Peasant Studies, 44(4), 939–967. https://doi.org/10.1080/03066150.2016.1242482
  • De Koninck, R., & Rousseau, J. F. (2012). Gambling with the Land: The Contemporary Evolution of Southeast Asian Agriculture. NUS Press.
  • Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1993). Productivity developments in Swedish hospitals: A malmquist output index approach. In A. Charnes, W. W. Cooper, A. Y. Lewin, and L. M. Seiford (Eds.), Data envelopment analysis: Theory, methodology and applications. Kluwer 253–272 .
  • Färe, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. The American Economic Review, 84(1), 66–83 http://www.jstor.org/stable/2117971.
  • Färe, R., Grosskopf, S., Yaisawarng, S., Li, S. K., & Wang, Z. (1990). Productivity growth in Illinois electric utilities. Resources and Energy, 12(4), 383–398. https://doi.org/10.1016/0165-0572(90)90030-M
  • Helal, S. M. A., & Elimam, H. (2017). Measuring the efficiency of health services areas in Kingdom of Saudi Arabia using data envelopment analysis (DEA): A comparative study between the years 2014 and 2006. International Journal of Economics and Finance, 9(4), 172–184. https://doi.org/10.5539/ijef.v9n4p172
  • Lefroy, R. D. B. (2014). Non-rice crops in rice-based farming systems in Mainland Southeast Asia. Trajectories of rice-based farming systems in Mainland Southeast Asia. University of Queensland. Working Paper No. 4.
  • Martínez-García, C. G., Ugoretz, S. J., Arriaga-Jordán, C. M., & Wattiaux, M. A. (2015). Farm, household, and farmer characteristics associated with changes in management practices and technology adoption among dairy smallholders. Tropical Animal Health and Production, 47(2), 311‐316. https://doi.org/10.1007/s11250-014-0720-4
  • Mwangi, M., & Kariuki, S. (2015). Factors determining adoption of new agricultural technology by smallholder farmers in developing countries. Journal of Economics and Sustainable Development, 6(5 208–216 https://www.iiste.org/Journals/index.php/JEDS/article/view/20710/21632).
  • Nweke, F. (2004). New challenges in the cassava transformation in Nigeria and Ghana. Environment and production technology division (EPTD). International Food Policy Research Institute, Washington, D.C., USA Discussion Paper No. 118.
  • Ogada, M. J., Mwabu, G., & Muchai, D. (2014). Farm technology adoption in Kenya: A simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions. Agricultural and Food Economics, 2(1), 1–18. https://doi.org/10.1186/s40100-014-0012-3
  • Rogers, E. M. (1995). Diffusion of Innovations (4th ed.). The Free Press.
  • Smeden, M., Moons, K. G., Groot, J. A., Collins, G. S., Altman, D. G., Eijkemans, M. J., & Reitsma, J. B. (2018). Sample size for binary logistic prediction models: Beyond events per variable criteria. Statistical Methods in Medical Research, 28(8), 2455–2474. https://doi.org/10.1177/0962280218784726
  • Smith, D., Newby, J., & Cramb, R. (2018). Developing value-chain linkages to improve smallholder cassava production in Southeast Asia. University of Queensland Discussion Paper Number 3.
  • Worthington, A. C. (2000). Technical efficiency and technological change in Australian building societies. Abacus, 36(2), 189–197. https://doi.org/10.1111/1467-6281.00059