Agricultural productivity, land use intensification and rural household welfare: evidence from Ethiopia

References

• Ariga, J., E. Mabaya, M. Waithaka, and M. Wanzala-Mlobela. 2019. Can improved agricultural technologies spur a green revolution in Africa? A multi-country analysis of seed and fertilizer delivery systems. Agricultural Economics 50: 63–74. doi:10.1111/agec.12533
   Web of Science ®Google Scholar
• Abate, T., B. Shiferaw, A. Menkir, D. Wegary, Y. Kebede, K. Tesfaye, and T. Keno. 2015. Factors that transformed maize productivity in Ethiopia. Food Security 7, no. 5: 965–81. doi:10.1007/s12571-015-0488-z
   Web of Science ®Google Scholar
• Abro, Z.A., B.A. Alemu, and M.A. Hanjra. 2014. Policies for agricultural productivity growth and poverty reduction in rural Ethiopia. World Development 59: 461–74. doi:10.1016/j.worlddev.2014.01.033
   Web of Science ®Google Scholar
• Adamie, B.A., T. Balezentis, and M. Asmild. 2018. Environmental production factors and efficiency of smallholder agricultural households: Using non-parametric conditional frontier methods. Journal of Agricultural Economics 70, no. 2: 1–17.
   Web of Science ®Google Scholar
• Amare, M., P. Parvathi, and T.T. Nguyen. 2023. Micro insights on the pathways to agricultural transformation: comparative evidence from Southeast Asia and sub-Saharan Africa. Canadian Journal of Agricultural Economics 71, no. 1: 69–87. doi:10.1111/cjag.12326
   Web of Science ®Google Scholar
• Amare, M., N.D. Jensen, B. Shiferaw, and J.D. Cissé. 2018. Rainfall shocks and agricultural productivity: Implication for rural household consumption. Agricultural Systems 166: 79–89. doi:10.1016/j.agsy.2018.07.014
   Web of Science ®Google Scholar
• Amarea, M., J.D. Cisséb, N.D. Jensenb, and B. Shiferawa. 2015. The impact of agricultural productivity on welfare growth of farm households in Nigeria: A panel data analysis. Rome.: FAO.
   Google Scholar
• Assefa, B. T., Reidsma, P., Chamberlin, J., and van Ittersum, M. (2021). Farm-and community-level factors underlying the profitability of fertiliser usage for Ethiopian smallholder farmers. Agrekon, 60, no. 4: 460–479. doi: 10.1080/03031853.2021.1984958
   Web of Science ®Google Scholar
• Bachewe, F.N., G. Berhane, B. Minten, and A.S. Taffesse. 2018. Agricultural transformation in Africa? assessing the evidence in Ethiopia. World Development 105: 286–98. doi:10.1016/j.worlddev.2017.05.041
   Web of Science ®Google Scholar
• Bellemare, M.F., and C.J. Wichman. 2020. Elasticities and the inverse hyperbolic sine transformation. Oxford Bulletin of Economics and Statistics 82, no. 1: 50–61. doi:10.1111/obes.12325
   Web of Science ®Google Scholar
• Bezu, S., G.T. Kassie, B. Shiferaw, and J. Ricker-Gilbert. 2014. Impact of improved maize adoption on welfare of farm households in Malawi: A panel data analysis. World Development 59: 120–31. doi:10.1016/j.worlddev.2014.01.023
   Web of Science ®Google Scholar
• Birnbaum, A. 1968. Some latent trait models and their use in inferring an examinee’s ability. In Statistical theories of mental test scores, eds. M. R. N. Frederic and M. Lord, 397–479. Reading, UK: Addison-Wesley.
   Google Scholar
• Breisinger, C., X. Diao, J. Thurlow, and R.M.A. Hassan. 2011. Potential impacts of a green revolution in Africa—the case of Ghana. Journal of International Development 23, no. 1: 82–102. doi:10.1002/jid.1641
   Web of Science ®Google Scholar
• Brockington, D. 2021. Persistent peasant poverty and assets. Exploring dynamics of new forms of wealth and poverty in Tanzania 1999–2018. The Journal of Peasant Studies 48, no. 1: 201–20. doi:10.1080/03066150.2019.1658081
   Web of Science ®Google Scholar
• Cairns, J.E., and B. Prasanna. 2018. Developing and deploying climate-resilient maize varieties in the developing world. Current Opinion in Plant Biology 45: 226–30. doi:10.1016/j.pbi.2018.05.004
   PubMed Web of Science ®Google Scholar
• Carter, M. R., and C. B. Barrett (2006). The economics of poverty traps and persistent poverty: An asset-based approach. The Journal of development studies, 42, no. 2: 178–199. doi:10.1080/00220380500405261
   Web of Science ®Google Scholar
• Chamberlain, G. 1982. Multivariate regression models for panel data.. Journal of Econometrics 18, no. 1: 5–46. doi:10.1016/0304-4076(82)90094-X
   Web of Science ®Google Scholar
• Collier, P., and S. Dercon. 2014. African agriculture in 50Years: Smallholders in a rapidly changing world? World Development 63: 92–101. doi:10.1016/j.worlddev.2013.10.001
   Web of Science ®Google Scholar
• CSA. 2016. Agricultural sample survey (2015/16): Report on area, production and farm management practice of Belg season crops for private peasant holdings. Addis Ababa, Ethiopia: Central Statistical Agency (CSA), the Federal Democratic Republic of Ethiopia. http://www.gatefarms.com/assets/downloads/belg_report_2016_2008.pdf.
   Google Scholar
• CSA. 2019. Agricultural sample surveys (2018/19): Report on area and production of major crops (Private Peasant Holdings, Meher Season). Addis Ababa, Ethiopia: Central Statistical Agency (CSA), the Federal Democratic Republic of Ethiopia. http://www.csa.gov.et/survey-report.
   Google Scholar
• Darko, F.A., A. Palacios-Lopez, T. Kilic, and J. Ricker-Gilbert. 2018. Micro-level welfare impacts of agricultural productivity: Evidence from rural Malawi. The Journal of Development Studies 54, no. 5: 915–32. doi:10.1080/00220388.2018.1430771
   Web of Science ®Google Scholar
• Datt, G., and M. Ravallion. 1998. Farm productivity and rural poverty in India. The Journal of Development Studies 34, no. 4: 62–85. doi:10.1080/00220389808422529
   Web of Science ®Google Scholar
• De Janvry, A., and E. Sadoulet. 2002. World poverty and the role of agricultural technology: direct and indirect effects. Journal of Development Studies 38, no. 4: 1–26. doi:10.1080/00220380412331322401
   Web of Science ®Google Scholar
• De Janvry, A., and E. Sadoulet. 2009. Agricultural growth and poverty reduction: Additional evidence. The World Bank Research Observer 25, no. 1: 1–20. doi:10.1093/wbro/lkp015
   Web of Science ®Google Scholar
• Dercon, S., J. Hoddinott, and T. Woldehanna. 2012. Growth and chronic poverty: Evidence from rural communities in Ethiopia. Journal of Development Studies 48, no. 2: 238–53. doi:10.1080/00220388.2011.625410
   Web of Science ®Google Scholar
• Dzanku, F.M. 2015. Household welfare effects of agricultural productivity: A multidimensional perspective from Ghana. The Journal of Development Studies 51, no. 9: 1139–54. doi:10.1080/00220388.2015.1010153
   Web of Science ®Google Scholar
• FAOSTAT. 2020. Food and Agriculture Organization (FAO) country statistics. http://www.fao.org/faostat/en/#data.
   Google Scholar
• Feder, G., and D.L. Umali. 1993. The adoption of agricultural innovations: A review. Technological Forecasting and Social Change 43, no. 3: 215–39. doi:10.1016/0040-1625(93)90053-A
   Web of Science ®Google Scholar
• Ferreira, F.H.G., S. Chen, A. Dabalen, Y. Dikhanov, N. Hamadeh, D. Jolliffe, … N. Yoshida. 2016. A global count of the extreme poor in 2012: Data issues, methodology and initial results. The Journal of Economic Inequality 14, no. 2: 141–72. doi:10.1007/s10888-016-9326-6
   Web of Science ®Google Scholar
• Filmer, D., and K. Scott. 2012. Assessing asset indices. Demography 49, no. 1: 359–92. doi:10.1007/s13524-011-0077-5
   PubMed Web of Science ®Google Scholar
• Foster, J., Greer, J., and Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52, no. 3: 761–766. doi:10.2307/1913475
   Web of Science ®Google Scholar
• Gebremedhin, B., M. Jaleta, and D. Hoekstra. 2009. Smallholders, institutional services, and commercial transformation in Ethiopia. Agricultural Economics 40, no. 1: 773–87. doi:10.1111/j.1574-0862.2009.00414.x
   Google Scholar
• Geffersa, A.G. 2023. Does cooperative membership enhance inorganic fertilizer use intensity? Panel data evidence from maize farmers in Ethiopia. Annals of Public and Cooperative Economics, doi:10.1111/apce.12446.
   Web of Science ®Google Scholar
• Geffersa, A.G., F.W. Agbola, and A. Mahmood. 2022. Improved maize adoption and impacts on farm household welfare: Evidence from rural Ethiopia. Australian Journal of Agricultural and Resource Economics 66, no. 4: 860–86. doi:10.1111/1467-8489.12489
   Web of Science ®Google Scholar
• Headey, D., Dereje, M., and A. S. Taffesse (2014). Land constraints and agricultural intensification in Ethiopia: A village-level analysis of high-potential areas. Food Policy, 48, 129–141. doi: 10.1016/j.foodpol.2014.01.008
   Web of Science ®Google Scholar
• Holden, S. T. (2018). Fertilizer and sustainable intensification in Sub-Saharan Africa. Global Food Security, 18, 20–26. doi: 10.1016/j.gfs.2018.07.001
   Google Scholar
• Marenya, P., M. Kassie, C. Yirga, G. Muricho, and S. Alemu. 2016. Socioeconomic profile of maize-legume based farming system in Ethiopia: Characterization of livelihood strategies, production conditions and markets: Baseline survey report for SIMLESA project. C. R. D. S. R. Network. https://data.cimmyt.org/dataset.xhtml?persistentId = hdl:11529/10746.
   Google Scholar
• Mason-D'Croz, D., T.B. Sulser, K. Wiebe, M.W. Rosegrant, S.K. Lowder, A. Nin-Pratt, D. Willenbockel, S. Robinson, T. Zhu, and N. Cenacchi. 2019. Agricultural investments and hunger in Africa modeling potential contributions to SDG2–Zero Hunger. World Development 116: 38–53. doi:10.1016/j.worlddev.2018.12.006
   PubMed Web of Science ®Google Scholar
• Minten, B., and C.B. Barrett. 2008. Agricultural technology, productivity, and poverty in Madagascar. World Development 36, no. 5: 797–822. doi:10.1016/j.worlddev.2007.05.004
   Web of Science ®Google Scholar
• MoFED. 2012. Growth and Transformation Plan (GTP) 2010/11-2014/15. The Federal Democratic Republic of Ethiopia, Ministry of Finance and Economic Development (MoFED), Addis Ababa, Ethiopia Retrieved from http://www.ethiopians.com/Ethiopia_GTP_2015.pdf.
   Google Scholar
• Mundlak, Y. 1978. On the pooling of time series and cross section data. Econometrica 46, no. 1: 69–85. doi:10.2307/1913646
   Web of Science ®Google Scholar
• Papke, L.E., and J.M. Wooldridge. 2008. Panel data methods for fractional response variables with an application to test pass rates. Journal of Econometrics 145, no. 1-2: 121–33. doi:10.1016/j.jeconom.2008.05.009
   Web of Science ®Google Scholar
• Ravallion, M. 1990. Rural welfare effects of food price changes under induced wage responses: Theory and evidence for Bangladesh. Oxford Economic Papers 42, no. 3: 574–85. doi:10.1093/oxfordjournals.oep.a041964
   Web of Science ®Google Scholar
• Ravallion, M., and G. Datt. 2002. Why has economic growth been more pro-poor in some states of India than others? Journal of Development Economics 68, no. 2: 381–400. doi:10.1016/S0304-3878(02)00018-4
   Web of Science ®Google Scholar
• Ricker-Gilbert, J., and M. Jones. 2015. Does storage technology affect adoption of improved maize varieties in Africa? Insights from Malawi’s input subsidy program. Food Policy 50: 92–105. doi:10.1016/j.foodpol.2014.10.015
   Web of Science ®Google Scholar
• Sahn, D. E., & Stifel, D. (2003). Exploring alternative measures of welfare in the absence of expenditure data. Review of income and wealth, 49, no. 4: 463–489. doi: 10.1111/j.0034-6586.2003.00100.x
   Web of Science ®Google Scholar
• Sarris, A., S. Savastano, and L. Christaensen. 2006. Agriculture and poverty in commodity-dependent African countries: A rural household perspective from the United Republic of Tanzania: Food & Agriculture Org.
   Google Scholar
• Sheahan, M., and C.B. Barrett. 2017. Ten striking facts about agricultural input use in Sub-Saharan Africa. Food Policy 67: 12–25. doi:10.1016/j.foodpol.2016.09.010
   PubMed Web of Science ®Google Scholar
• Singh, I., L. Squire, and J. Strauss. 1986. The basic model: Theory, empirical results, and policy conclusions. In Agricultural household models: Extensions, applications, and policy,17–47. Baltimore: The Johns Hopkins University Press.
   Google Scholar
• Smith, R.J., and R.W. Blundell. 1986. An exogeneity test for a simultaneous equation Tobit model with an application to labor supply. Econometrica 54, no. 3: 679–85. doi:10.2307/1911314
   Web of Science ®Google Scholar
• Takahashi, K., R. Muraoka, and K. Otsuka. 2019. Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature. Agricultural Economics 51, no. 1: 31–45. doi:10.1111/agec.12539
   Web of Science ®Google Scholar
• Timmer, P. 2008. Agriculture and pro-poor growth: An Asian perspective. Asian Journal of Agriculture and Development 5, no. 1: 1–23. doi:10.37801/ajad2008.5.1.1
   Google Scholar
• United Nations. 2015. The Millennium Development Goals Report. Retrieved from New York: https://www.un.org/millenniumgoals/2015_MDG_Report/pdf/MDG%202015%20rev%20(July%201).pdf.
   Google Scholar
• United Nations. 2019. Transforming our world: The 2030 Agenda for Sustainable Development (No. A/RES/70/1). Retrieved from United Nations, New York, United States: https://sustainabledevelopment.un.org/content/documents/21252030%20Agenda%20for%20Sustainable%20Development%20web.pdf.
   Google Scholar
• Vandemoortele, M. 2014. Measuring household wealth with latent trait modelling: An application to Malawian DHS data. Social Indicators Research 118, no. 2: 877–91. doi:10.1007/s11205-013-0447-z
   Web of Science ®Google Scholar
• Verkaart, S., B.G. Munyua, K. Mausch, and J.D. Michler. 2017. Welfare impacts of improved chickpea adoption: A pathway for rural development in Ethiopia? Food Policy 66: 50–61. doi:10.1016/j.foodpol.2016.11.007
   PubMed Web of Science ®Google Scholar
• Wooldridge, J.M. 2010. Econometric analysis of cross section and panel data, 2nd ed.. Cambridge, MA: MIT press.
   Google Scholar
• Wooldridge, J.M. 2013. Introduction to econometrics: A modern approach. Ed. J. Sabatino. 5th ed. South Western Educational Publishing.
   Google Scholar
• Wooldridge, J.M. 2015. Control function methods in applied econometrics. Journal of Human Resources 50, no. 2: 420–45. doi:10.3368/jhr.50.2.420
   Web of Science ®Google Scholar
• World Bank. 2015. Purchasing power parities and the real size of World Economies: A Comprehensive Report of the 2011 International Comparison Program. Retrieved from World Bank, Washington DC, United States: http://siteresources.worldbank.org/ICPEXT/Resources/2011-ICP-Global-Report.pdf.
   Google Scholar
• World Bank. 2018. Poverty and shared prosperity 2018: Piecing together the poverty puzzle. Retrieved from World Bank, Washington DC, United States: https://openknowledge.worldbank.org/bitstream/handle/10986/30418/9781464813306.pdf.
   Google Scholar
• World Bank. 2019. Maximizing finance for development in agriculture and food systems in Ethiopia: An analysis of beef, coffee, and maize. Retrieved from World Bank, Washington DC, United States: https://openknowledge.worldbank.org/handle/10986/32102.
   Google Scholar
• World Bank. 2020. Ethiopia poverty assessment: Harnessing continued growth for accelerated poverty reduction. Retrieved from World Bank, Washington, DC, United States: https://openknowledge.worldbank.org/handle/10986/33544.
   Google Scholar
• World Bank. 2021. The World Bank Annual Report: From crisis to green, resilient, and inclusive recovery. http://hdl.handle.net/10986/36067.
   Google Scholar
• Zeng, D., J. Alwang, G.W. Norton, B. Shiferaw, M. Jaleta, and C. Yirga. 2015. Ex post impacts of improved maize varieties on poverty in rural Ethiopia. Agricultural Economics 46, no. 4: 515–26. doi:10.1111/agec.12178
   Web of Science ®Google Scholar