Estimating technology adoption and technical efficiency in smallholder maize production: A double bootstrap DEA approach

References

• Abatania, N. L., Hailu, A., & Mugera, A. W. (2012). Analysis of farm household technical efficiency in Northern Ghana using bootstrap DEA (No. 423-2016-27040)
   Google Scholar
• Abdulai, S., Nkegbe, P. K., & Donkoh, S. A. (2017). Assessing economic efficiency of maize production in Northern Ghana. Ghana Journal of Development Studies, 14(1), 123–16. https://doi.org/10.4314/gjds.v14i1.7
   Google Scholar
• Abdulai, S., Zakariah, A., & Donkoh, S. A. (2018). Adoption of rice cultivation technologies and its effect on technical efficiency in Sagnarigu District of Ghana. Cogent Food and Agriculture, 4(1), 1424296. https://doi.org/10.1080/23311932.2018.1424296
   Web of Science ®Google Scholar
• Abebe, G. K., Bijman, J., Pascucci, S., & Omta, O. (2013). Adoption of improved potato varieties in Ethiopia: The role of agricultural knowledge and innovation system and smallholder farmers’ quality assessment. Agricultural Systems, 122, 22–32. https://doi.org/10.1016/j.agsy.2013.07.008
   Web of Science ®Google Scholar
• Ahmed, M. H. (2015). Adoption of multiple agricultural technologies in maize production of the Central Rift Valley of Ethiopia. Studies in Agricultural Economics, 117(3), 162–168. https://doi.org/10.7896/.2063-0476
   Web of Science ®Google Scholar
• Ahmed, M. H., Geleta, K. M., Tazeze, A., & Andualem, E. (2017). The impact of improved maize varieties on farm productivity and wellbeing: Evidence from the East Hararghe Zone of Ethiopia. Development Studies Research, 4(1), 9–21. https://doi.org/10.1080/21665095.2017.1400393
   Google Scholar
• Anang, B. T. (2019). Are adopters of improved rice varieties more productive than non-adopters? Empirical evidence from northern Ghana. Ghana Journal of Development Studies, 16(1), 92–107. https://doi.org/10.4314/gjds.v16i1.5
   Google Scholar
• Anang, B. T., Bäckman, S., & Sipiläinen, T. (2016). Agricultural microcredit and technical efficiency: The case of smallholder rice farmers in Northern Ghana. Journal of Agriculture and Rural Development in the Tropics and Subtropics, 117(2), 189–202. http://nbn-resolving.de/urn:nbn:de:hebis:34-2016061350415
   Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Azumah, S. B., Donkoh, S. A., & Awuni, J. A. (2019). Correcting for sample selection in stochastic frontier analysis: Insights from rice farmers in Northern Ghana. Agricultural and Food Economics, 7(1), 9. https://doi.org/10.1186/s40100-019-0130-z
   Google Scholar
• Balcombe, K., Fraser, I., Latruffe, L., Rahman, M., & Smith, L. (2008). An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming. Applied Economics, 40(15), 1919–1925. https://doi.org/10.1080/00036840600905282
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Coelli, T. J., Rahman, S., & Thirtle, C. (2002). Technical, allocative, cost and scale efficiencies in Bangladesh rice production: A non-parametric approach. Journal of Agricultural Economics, 53(3), 607–626. https://doi.org/10.1111/j.1477-9552.2002.tb00040.x
   Web of Science ®Google Scholar
• Collier, P., & Dercon, S. (2014). African agriculture in 50 years: Smallholders in a rapidly changing world? World Development, 63, 92–101. https://doi.org/10.1016/j.worlddev.2013.10.001
   Web of Science ®Google Scholar
• Danso-Abbeam, G., Bosiako, J. A., Ehiakpor, D. S., & Mabe, F. N. (2017). Adoption of improved maize variety among farm households in the northern region of Ghana. Cogent Economics and Finance, 5(1), 1416896. https://doi.org/10.1080/23322039.2017.1416896
   Web of Science ®Google Scholar
• Danso-Abbeam, G., Ehiakpor, D. S., & Aidoo, R. (2018). Agricultural extension and its effects on farm productivity and income: Insight from Northern Ghana. Agriculture and Food Security, 7(1), 1–10. https://doi.org/10.1186/s40066-018-0225-x
   Google Scholar
• Deepa, R., Bandyopadhyay, A. K., & Mandal, M. (2015). Factors related to adoption of maize production technology in Cooch Behar district of West Bengal. Agriculture, 5(2), 775–777.
   Google Scholar
• Donkoh, S. A. (2011). Technology adoption and efficiency in Ghanaian agriculture: A microeconomic study. USA LAMBERT Academic Publishing.
   Google Scholar
• Donkor, E., Owusu-Sekyere, E., Owusu, V., & Jordaan, H. (2016). Impact of row-planting adoption on productivity of rice farming in northern Ghana. Review of Agricultural and Applied Economics, 19(2), 19–28. https://doi.org/10.15414/raae.2016.19.02.19-28
   Google Scholar
• Etim, N. A. A., & Udoh, E. J. (2014). Identifying sources of efficiency among resource poor indigenous vegetable farmers in Uyo, Nigeria. International Journal of Food and Agricultural Economics, 2, 33–39.
   Google Scholar
• Evenson, R. (2001). Economic impacts of agricultural research and extension. In B. Gardner & G. Rausser (Eds.), Handbook of agricultural economics (Vol. 1, pp. 573–628). Elsevier Science.
   Google Scholar
• Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–290. https://doi.org/10.2307/2343100
   Web of Science ®Google Scholar
• Fraser, I., & Cordina, D. (1999). An application of data envelopment analysis to irrigated dairy farms in northern Victoria, Australia. Agricultural Systems, 59(3), 267–282. https://doi.org/10.1016/S0308-521X(99)00009-8
   Web of Science ®Google Scholar
• Gautam, M. (2000). Agricultural extension: The Kenyan experience, an impact evaluation. The World Bank.
   Google Scholar
• Ghana Statistical Service. (2014a). Ghana Living Standards Survey Round 6 (GLSS6). GSS.
   Google Scholar
• Ghana Statistical Service. (2014b). GLSS 6 poverty profile in Ghana: 2005–2013. www.statsghana.gov.gh/docfiles/glss6/GLSS6_Poverty%20Profile%20in%20Ghana.pdf
   Google Scholar
• Ghana Statistical Service. (2014c). 2010 population and housing census (District analytical report). http://www2.statsghana.gov.gh/docfiles/2010_District_Report/Northern/TOLON.pdf
   Google Scholar
• Ghimire, R., Wen-chi, H., & Shrestha, R. B. (2015). Factors affecting adoption of improved rice varieties among rural farm households in Central Nepal. Rice Science, 22(1), 35–43. https://doi.org/10.1016/j.rsci.2015.05.006
   Web of Science ®Google Scholar
• Islam, K. Z., Sumelius, J., & Backman, S. (2012). Do differences in technical efficiency explain the adoption rate of HYV rice: Evidence from Bangladesh. Agricultural Economics Review, 13(1), 93–104.
   Google Scholar
• Jayne, T. S., & Rashid, S. (2013). Input subsidy programs in sub-Saharan Africa: A synthesis of recent evidence. Agricultural Economics, 44(6), 547–562. https://doi.org/10.1111/agec.12073
   Web of Science ®Google Scholar
• Karimov, A. (2013). Productive Efficiency of Potato and Melon Growing Farms in Uzbekistan: A Two Stage Double Bootstrap Data Envelopment Analysis. Agriculture, 3(3), 503–515. doi:10.3390/agriculture3030503
   Google Scholar
• Kassie, M., Jaleta, M., Shiferaw, B., Mmbando, F., & Mekuria, M. (2013). Adoption of interrelated sustainable agricultural practices in smallholder systems: Evidence from rural Tanzania. Technological Forecasting and Social Change, 80(3), 525–540. https://doi.org/10.1016/j.techfore.2012.08.007
   Web of Science ®Google Scholar
• Kassie, M., Teklewold, H., Jaleta, M., Marenya, P., & Erenstein, O. (2015). Understanding the adoption portfolio of sustainable intensification practices in eastern and southern Africa. Land Use Policy, 42, 400–411. https://doi.org/10.1016/j.landusepol.2014.08.016
   Web of Science ®Google Scholar
• Khonje, M., Manda, J., Alene, A. D., & Kassie, M. (2015). Analysis of adoption and impacts of improved maize varieties in Eastern Zambia. World Development, 66, 695–706. https://doi.org/10.1016/j.worlddev.2014.09.008
   Web of Science ®Google Scholar
• Kijima, Y., & Sserunkuuma, D. (2013). The adoption of NERICA rice varieties at the initial stage of the diffusion process in Uganda. African Journal of Agricultural and Resource Economics, 8(1), 45–56.
   Google Scholar
• Konja, D. T., Mabe, F. N., & Alhassan, H. (2019). Technical and resource-use-efficiency among smallholder rice farmers in Northern Ghana. Cogent Food and Agriculture, 5, 1651473.
   Web of Science ®Google Scholar
• Kumbhakar, S., Tsionas, E., & Sipiläinen, T. (2009). Joint estimation of technology choice and technical efficiency: An application to organic and conventional dairy farming. Journal of Productivity Analysis, 31(3), 151–161.
   Web of Science ®Google Scholar
• Lee, D. R. (2005). Agricultural sustainability and technology adoption: Issues and policies for developing countries. American Journal of Agricultural Economics, 87(5), 1325–1334. https://doi.org/10.1111/j.1467-8276.2005.00826.x
   Web of Science ®Google Scholar
• Mango, N., Makate, C., Hanyani-Mlambo, B., Siziba, S., & Lundy, M. (2015). A stochastic frontier analysis of technical efficiency in smallholder maize production in Zimbabwe: The post-fast-track land reform outlook. Cogent Economics and Finance, 3(1), 1117189. https://doi.org/10.1080/23322039.2015.1117189
   Web of Science ®Google Scholar
• Mitra, S., & Yunus, M. (2018). Determinants of tomato farmers’ efficiency in the Mymensingh district of Bangladesh. Data envelopment analysis approach. Journal of Bangladesh Agricultural University, 16(1), 93–97. https://doi.org/10.3329/jbau.v16i1.36487
   Google Scholar
• MoFA (Ministry of Food and Agriculture). (2016, October). Agriculture in Ghana. Facts and Figures 2015. Statistics, Research and Information Directorate (SRID); Accra.
   Google Scholar
• MoFA (Ministry of Food and Agriculture). (2017). Planting for food and jobs, strategic plan for implementation (2017-2020). Republic of Ghana.
   Google Scholar
• Nkegbe, P. K. (2018). Credit access and technical efficiency of smallholder farmers in Northern Ghana: Double bootstrap DEA approach. Agricultural Finance Review, 78(5), 626–639. https://doi.org/10.1108/AFR-03-2018-0018
   Web of Science ®Google Scholar
• Obayelu, A. E., Moncho, C. M. D., & Diai, C. C. (2016). Technical efficiency of production of quality protein maize between adopters and non-adopters, and the determinants in Oyo State, Nigeria. Review of Agricultural and Applied Economics, 19(2), 29–38. https://doi.org/10.15414/raae/2016.19.02.29-38
   Google Scholar
• Owusu, V. (2016). Technical efficiency of technology adoption by maize farmers in three agro-ecological zones of Ghana”. Review of Agricultural and Applied Economics, 19(2), 39–50. https://doi.org/10.15414/raae/2016.19.02.39-50
   Google Scholar
• 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
   Google Scholar
• 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
   Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Simar, L., & Wilson, P. W. (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics, 136(1), 31–64. https://doi.org/10.1016/j.jeconom.2005.07.009
   Web of Science ®Google Scholar
• Singh, R. B., Kumar, P., & Woodhead, T. (2002). Smallholder farmers in India: Food security and agricultural policy (RAP Publication number 2002/03).
   Google Scholar
• Tien, N. V., & Thong, P. L. (2014). Analyzing economic efficiency of the lotus farms in Dong Thap Province (in Vietnamese). Scientific Journal of Can Tho University, 30, 120–128.
   Google Scholar
• Wongnaa, C. A., & Awunyo-Vitor, D. (2018). Achieving sustainable development goals on no poverty and zero hunger: Does technical efficiency of Ghana’s maize farmers matter? Agriculture and Food Security, 7(1), 1. https://doi.org/10.1186/s40066-018-0223-z
   Google Scholar
• Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press.
   Google Scholar
• Wouterse, F. (2010). Migration and technical efficiency in cereal production: Evidence from Burkina Faso. Agricultural Economics, 41(5), 385–395. https://doi.org/10.1111/j.1574-0862.2010.00452.x
   Web of Science ®Google Scholar