Opportunity cost of adopting improved planted forage: Evidence from the adoption of Brachiaria grass among smallholder dairy farmers in Kenya

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. https://doi.org/10.3368/le.90.1.26
  • Adesina AA & Zinnah MM, 1993. Technology characteristics, farmers’ perceptions and adoption decisions: A Tobit model application in Sierra Leone. Agricultural Economics 9(4): 297–311. https://doi.org/10.1016/0169-5150(93)90019-9
  • Arango J, Moreta D, Núñez J, Hartmann K, Domínguez M, Ishitani M, Miles J, Subbarao G, Peters M & Rao I, 2014. Developing methods to evaluate phenotypic variability in biological nitrification inhibition (BNI) capacity of Brachiaria grasses. Tropical Grasslands-Forrajes Tropicales. https://doi.org/10.17138/tgft(2)6-8
  • 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. https://doi.org/10.1016/j.foodpol.2012.02.013
  • Babcock BA & Hennessy DA, 1996. Input demand under yield and revenue insurance. American Journal of Agricultural Economics 78(2): 416–27. https://doi.org/10.2307/1243713
  • Bosire CK, Krol MS, Mekonnen MM, Ogutu JO, De Leeuw J, Lannerstad M & Hoekstra AY, 2016a. Meat and milk production scenarios and the associated land footprint in Kenya. Agricultural Systems 145: 64–75. https://doi.org/10.1016/j.agsy.2016.03.003
  • Bosire CK, Lannerstad M, De Leeuw J, Krol MS, Ogutu JO, Ochungo PA & Hoekstra AY, 2016b. Urban consumption of meat and milk and its green and blue water footprints – Patterns in the 1980s and 2000s for Nairobi, Kenya. Science of the Total Environment 579: 786–96. https://doi.org/10.1016/j.scitotenv.2016.11.027
  • Carter DW & Milon JW, 2005. Price knowledge in household demand for utility services. Land Economics 81(2): 265–83. https://doi.org/10.3368/le.81.2.265
  • Di Falco S & Bulte E, 2013. The impact of kinship networks on the adoption of risk-mitigating strategies in Ethiopia. World Development 43:100–10. https://doi.org/10.1016/j.worlddev.2012.10.011
  • FAO, 2013. Climate-smart agriculture: Sourcebook. https://www.fao.org/3/i3325e/i3325e.pdf
  • FAO, 2017. Africa sustainable livestock 2050: Kenya. Rome: FAO. https://www.fao.org/in-action/asl2050/countries/ken/en/
  • Gómez-Limón JA, Riesgo L & Arriaza M, 2004. Multi-criteria analysis of input use in agriculture. Journal of Agricultural Economics 55(3): 541–64. https://doi.org/10.1111/j.1477-9552.2004.tb00114.x
  • Greene W, 2003. H.(2003): Econometric analysis. Fifth edition. Upper Saddle River NJ: Prentice Hall.
  • Heckman JJ, 2017. Sample selection bias as a specification error. The Econometric Society 47(1): 153–61. http://www.jstor.org/stable/1912352
  • Holechek JL, Cibils AF, Bengaly K & Kinyamario JI, 2016. Human population growth, African pastoralism, and rangelands: A perspective. Rangeland Ecology and Management 70(3): 273–80. https://doi.org/10.1016/j.rama.2016.09.004
  • Holmann F, Rivas L, Argel PJ & Pérez E, 2004. Impact of the adoption of Brachiaria grasses: Central America and Mexico. Livestock Research for Rural Development 16(12): Article no. 98. http://www.lrrd.org/lrrd16/12/holm16098.htm
  • Kassie M, Stage J, Diiro G, Muriithi B, Muricho G, Ledermann ST, Pittchar J, Midega C & Zeyaur K, 2018. Push–pull farming system in Kenya: Implications for economic and social welfare. Land Use Policy 77: 186–98. https://doi.org/10.1016/j.landusepol.2018.05.041
  • Kassie M, Teklewold H, Jaleta M, Marenya P & Erenstein O, 2015. Understanding the adoption of a portfolio of sustainable intensification practices in eastern and southern Africa. Land Use Policy 42: 400–11. https://doi.org/10.1016/j.landusepol.2014.08.016
  • Khan ZR, Midega CAO, Pittchar JO, Murage AW, Birkett MA, Bruce TJA & Pickett JA, 2014. Achieving food security for one million sub-Saharan African poor through push-pull innovation by 2020. Philosophical Transactions of the Royal Society B: Biological Sciences 369(1639): Article no. 20120284. https://doi.org/10.1098/rstb.2012.0284
  • Kuntashula E & Mungatana E, 2013. Estimating the causal effect of improved fallows on farmer welfare using robust identification strategies in Chongwe, Zambia. Agroforestry Systems 87: 1229–46. https://doi.org/10.1007/s10457-013-9632-y
  • Lokshin M & Sajaia Z, 2004. Maximum likelihood estimation of endogenous switching regression models. The Stata Journal 4(3): 282–9. https://journals.sagepub.com/doi/pdf/10.1177/1536867X0400400306
  • Machogu C, 2013. A comparative study of the productivity of Brachiaria hybrid cv. Mulato II and native pasture species in semi-arid rangelands of Kenya. Master's thesis, University of Nairobi, Nairobi, Kenya. http://erepository.uonbi.ac.ke/bitstream/handle/11295/56273/Machogu_Native%20pasture%20species.pdf?sequence=5&isAllowed=y
  • Moreta DE, Arango J, Sotelo M, Vergara D, Rincón A, Ishitani M, Castro A, Miles J, Peters M, Tohme J, Subbarao GV & Rao IM, 2014. Biological nitrification inhibition (BNI) in Brachiaria pastures: A novel strategy to improve eco-efficiency of crop-livestock systems and to mitigate climate change. Tropical Grasslands – Forrajes Tropicales 2: 88–91. https://www.tropicalgrasslands.info/index.php/tgft/article/download/123/73
  • Murage AW, Midega CAO, Pittchar JO, Pickett JA & Khan ZR, 2015a. Determinants of adoption of climate-smart push-pull technology for enhanced food security through integrated pest management in eastern Africa. Food Security 7: 709–24. https://doi.org/10.1007/s12571-015-0454-9
  • Murage AW, Pittchar JO, Midega CAO, Onyango CO & Khan ZR, 2015b. Gender specific perceptions and adoption of the climate-smart push-pull technology in eastern Africa. Crop Protection 76: 83–91. https://doi.org/10.1016/j.cropro.2015.06.014
  • Mutoko MC, Ritho CN, Benhin JK & Mbatia OL, 2015. Technical and allocative efficiency gains from integrated soil fertility management in the maize farming system of Kenya. Journal of Development and Agricultural Economics 7(4): 143–52. https://doi.org/10.5897/JDAE2015.0633
  • Nangole E, Lukuyu B, Franzel S, Kinuthia E, Baltenweck I & Kirui J, 2011. Livestock feed production and marketing in Central and North Rift Valley Regions of Kenya. Nairobi, Kenya: Eat African Dairy Development Project (EADD).
  • Ngoma H, 2018. Does minimum tillage improve the livelihood outcomes of smallholder farmers in Zambia? Food Security 10: 381–96. https://doi.org/10.1007/s12571-018-0777-4%0A
  • Nguku SA, 2015. An evaluation of Brachiaria grass cultivars productivity in semi arid Kenya. Master's thesis, South Eastern Kenya University, Kitui, Kenya. http://repository.seku.ac.ke/handle/123456789/1380
  • Njarui DMG, Gichangi EM, Ghimire SR & Muinga RW (eds), 2016. Climate smart Brachiaria grasses for improving livestock production in East Africa: Kenya experience. Proceedings of a workshop, Kenya Agricultural and Livestock Research Organization, 14–15 September, Naivasha, Kenya.
  • Oglethorpe DR, 1995. Sensitivity of farm plans under risk-averse behaviour: A note on the environmental implications. Journal of Agricultural Economics 46(2): 227–32. https://doi.org/10.1111/j.1477-9552.1995.tb00768.x
  • Quisumbing AR, 2003. Food aid and child nutrition in rural Ethiopia. World Development 31(7): 1309–24. https://doi.org/10.1016/S0305-750X(03)00067-6
  • Rao I, Ishitani M, Miles J, Peters M, Tohme JOE, Martens S, Hyman G, Tapasco J, Duitama J, Suárez H, Borrero G, Núñez J, Hartmann K, Domínguez M, Sotelo M, Vergara D, Lavelle P & Subbarao GV, 2014. Climate-smart crop-livestock systems for smallholders in the tropics: Integration of new forage hybrids to intensify agriculture and to mitigate climate change through regulation of nitrification in soil. Tropical Grasslands – Forrajes Tropicales 2: 130–2.
  • Rees H & Maddala GS, 1985. Limited-dependent and qualitative variables in econometrics. The Economic Journal 95(378): 493–4. https://doi.org/10.2307/2233228
  • Schoemaker PJH, 1982. The expected utility model: Its variants, purposes, evidence and limitations. Journal of Economic Literature 20(2): 529–63. https://www.jstor.org/stable/2724488
  • Semykina A & Wooldridge JM, 2010. Estimating panel data models in the presence of endogeneity and selection. Journal of Econometrics 157(2): 375–80. https://doi.org/10.1016/j.jeconom.2010.03.039
  • Shiferaw B, Kassie M, Jaleta M & Yirga C, 2014. Adoption of improved wheat varieties and impacts on household food security in Ethiopia. Food Policy 44: 272–84. https://doi.org/10.1016/j.foodpol.2013.09.012
  • Storck H & Doppler W, 1991. Farming systems and farm management practices of smallholders in the Hararghe Highlands. Kiel: Wissenschaftsverlag Vauk Kiel.
  • Teklewold H, Kassie M, Shiferaw B & Köhlin G, 2013. Cropping system diversification, conservation tillage and modern seed adoption in Ethiopia: Impacts on household income, agrochemical use and demand for labor. Ecological Economics 93: 85–93. https://doi.org/10.1016/j.ecolecon.2013.05.002
  • United Nations, 2015. World population prospects: Key findings & advance tables. 2015 revision. New York: United Nations. https://desapublications.un.org/file/546/download
  • USAID, 2015. USAID-KAVES dairy value chain analysis. https://pdf.usaid.gov/pdf_docs/PA00M2T1.pdf
  • Wale E, Mburu J & Estrella J, 2006. Computing opportunity costs of growing local varieties for on-farm conservation: Illustration using sorghum data from Ethiopia. Paper read at the International Association of Agricultural Economists Annual Meeting, 12-18 August. Queensland, Australia.
  • Wooldridge JM, 2010. Econometric analysis of cross section and panel data. Second edition. Cambridge MA: The MIT Press.
  • Wooldridge JM, 2015. Control function methods in applied econometrics. Journal of Human Resources 50(2): 420–45. https://doi.org/10.3368/jhr.50.2.420.