Is change worth it? The effects of adopting modern agricultural inputs on household welfare in Rwanda

References

  • Abdulai A & Huffman W, 2014. The adoption and impact of soil and water conservation technology: An endogenous switching regression application. Land Economics, 90(1): 26–43.
  • Abdulai A & Huffman W, 2005. The diffusion of new agricultural technologies: The case of crossbred-cow technology in Tanzania. American Journal of Agricultural Economics 87(3): 645–59.
  • Abdulai AN, 2016. Impact of conservation agriculture technology on household welfare in Zambia. Agricultural Economics 47(6): 729–41.
  • African Seed Traders Association (AFSTA), 2010. Rwanda seed sector baseline study. Available at: https://www.afsta.org/wp-content/uploads/2015/12/RWANDA-SEED-SECTOR-BASELINE-STUDY.pdf
  • Amare M, Asfaw S & Shiferaw B, 2012. Welfare impacts of maize–pigeonpea intensification in Tanzania. Agricultural Economics 43(1): 27–43.
  • Asfaw S, Shiferaw B, Simtowe F & Lipper L, 2012. Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia. Food Policy 37(3): 283–95.
  • Barrett CB (ed.), 2013. Food security and sociopolitical stability. Oxford: Oxford University Press.
  • Barrett CB, Moser CM, McHugh OV & Barison J, 2004. Better technology, better plots, or better farmers? Identifying changes in productivity and risk among Malagasy rice farmers. American Journal of Agricultural Economics 86(4): 869–88.
  • Cantore N, 2011. The crop intensification program in Rwanda: A sustainability analysis. London: Overseas Development Institute.
  • Chavas J-P & Shi G, 2015. An economic analysis of risk, management and agricultural technology. Journal of Agricultural and Resource Economics 40(1): 63–79.
  • Carter DW & Milon JW, 2005. Price knowledge in household demand for utility services. Land Economics 81(2): 265–83.
  • De Janvry A, Fafchamps M & Sadoulet E, 1991. Peasant household behaviour with missing markets: Some paradoxes explained. The Economic Journal 101(409): 1400–17. https://doi.org/10.2307/2234892
  • Di Falco S, Veronesi M & Yesuf M, 2011. Does adaptation to climate change provide food security? A micro-perspective from Ethiopia. American Journal of Agricultural Economics 93(3): 825–42.
  • Dzanku FM, Jirstrom M & Marstop H, 2015. Yield gap-based poverty traps in rural Sub-Saharan Africa. World Development 67: 336–62.
  • Faltermeier L & Abdulai A, 2009. The impact of water conservation and intensification technologies: Empirical evidence for rice farmers in Ghana. Agricultural Economics 40(3): 365–79.
  • Grabowski PP, Kerr JM, Haggblade S & Kabwe S, 2016. Determinants of adoption and disadoption of minimum tillage by cotton farmers in eastern Zambia. Agriculture, Ecosystems and Environment 231: 54–67.
  • Heckman JJ, 1979. Sample selection bias as a specification error. Econometrica 47(1): 153–61.
  • Jalan J & Ravallion M, 2003. Does piped water reduce diarrhea for children in rural India? Journal of Econometrics 112(1): 153–73.
  • Jayne TS, Sitko NJ, Mason NM & Skole D, 2018. Input subsidy programs and climate smart agriculture: Current realities and future potential. In Lipper L, McCarthy N, Zilberman D, Asfaw S & Branca G (eds.), Climate smart agriculture: Building resilience to climate change. Cham, Switzerland: Springer
  • Kabunga NS, Dubois T & Qaim M, 2012. Yield effects of tissue culture bananas in Kenya: Accounting for selection bias and the role of complementary inputs. Journal of Agricultural Economics 63(2): 444–64.
  • Kassie M, Shiferaw B & Muricho G, 2011. Agricultural technology, crop income, and poverty alleviation in Uganda. World Development 39(10): 1784–95. https://doi.org/10.1016/j.worlddev.2011.04.023
  • Kelly VA, Mpyisi E, Murekezi A, Neven D & Shingiro E, 2001. Fertilizer consumption in Rwanda: Past trends, future potential, and determinants. Paper prepared for the Policy Workshop on Fertilizer Use and Marketing, organized by MINAGRI and USAID, 22–23 February, Rwanda.
  • Khonje MG, Manda J, Mkandawire P, Tufa AH & Alene AD, 2018. Adoption and welfare impacts of multiple agricultural technologies: Evidence from eastern Zambia. Agricultural Economics 49(5): 599–609.
  • Lee LF, 1982. Some approaches to the correction of selectivity bias. The Review of Economic Studies 49(3): 355–72.
  • Lokshin M & Sajaia Z, 2004. Maximum likelihood estimation of endogenous switching regression models. Stata Journal 4: 282–9.
  • Ma W & Abdulai A, 2016. Does cooperative membership improve household welfare? Evidence from apple farmers in China. Food Policy 58: 94–102.
  • Maddala G, 1983. Limited-dependent and qualitative variables in econometrics. Cambridge: Cambridge University Press.
  • Ministry of Agriculture, Rwanda, 2011a. Crop intensification program (CIP): Annual Report. Kigali, Rwanda: Ministry of Agriculture.
  • Ministry of Agriculture, 2011b. Farm land use consolidation in Rwanda. Assessment from the perspective of the agriculture sector. Kigali, Rwanda: Ministry of Agriculture.
  • Minten B & Barrett CB, 2008. Agricultural technology, productivity, and poverty in Madagascar. World Development 36(5): 797–22.
  • Morris M, Kelly VA, Kopicki R & Byerlee D, 2007. Fertilizer use in African agriculture: Lessons learned and good practice guidelines. Washington DC: World Bank Publications.
  • National Institute of Statistics of Rwanda (NISR), 2015. Seasonal agricultural survey report – 2015. Kigali: NISR.
  • Nilsson P, 2019. The role of land use consolidation in improving crop yields among farm households in Rwanda. The Journal of Development Studies 55(8): 1726–40.
  • Nsabimana A, Niyitanga F, Weatherspoon DD & Naseem A, 2021. Land policy and food prices: Evidence from a land consolidation program in Rwanda. Journal of Agricultural & Food Industrial Organization 19(1): 63–73.
  • Rosenbaum PR & Rubin DB, 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70(1): 41–55. https://doi.org/10.1093/biomet/70.1.41
  • Sánchez PA, 2010. Tripling crop yields in tropical Africa. Nature Geoscience 3(5):299–300.
  • Syrovátka M, 2007. Aggregate measures of welfare based on personal consumption. In Environmental economics, policy and international relations: Proceedings of the Sborníkz konference konané, Czech Republic. Available at https://www.development.upol.cz/uploads/dokumenty/Syrovatka_aggregate_measures_of_welfare.pdf
  • Tesfaye W, Blalock G & Tirivayi N, 2019. Climate-smart agricultural innovations and rural poverty in Ethiopia. American Journal of Agricultural Economics 103(3): 878–99.
  • Winters P, Maffioli A & Salazar L, 2011. Introduction to the special feature: Evaluating the impact of agricultural projects in developing countries. Journal of Agricultural Economics 62: 393–402.
  • Wooldridge JM, 2002. Introductory econometrics: A modern approach. Mason, OH: Thomson South-Western.
  • World Bank, 2011. Rwanda economic update, April 2011: Seeds for higher growth. Washington DC: World Bank.
  • Zeng D, Alwang J, Norton GW, Shiferaw B, Jaleta M & Yirga C, 2015. Ex post impacts of improved maize varieties on poverty in rural Ethiopia. Agricultural Economics 46(4): 515–26.