Determinants of agricultural technology adoption under partial population awareness: the case of pigeonpea in Malawi
Tóm tắt
There is exhaustive literature on technology adoption rates and the relationship between technology adoption and relevant socioeconomic and policy variables. Yet adoption estimates derived from the application of standard techniques such as the probit and tobit yield biased estimates. This paper applies the modern evaluation technique: the counterfactual outcome framework to data from about 400 households in Malawi to assess the patterns of diffusion and adoption of improved pigeonpea varieties and their determinants. We find the sample adoption rate of improved varieties to be 14 % while the potential adoption rate if the improved varieties were widely disseminated is estimated at 41 %. The adoption gap resulting from the incomplete exposure to the improved pigeonpea is 27 %. Moreover, adoption is also found to be high among female-headed households, older farmers and those with access to credit. The findings suggest that for increased adoption, there is need for increased involvement of extension workers is the dissemination of information about improved pigeonpea varieties, a robust pigeonpea seed system to increase seed availability to farmers as well as the need for improved access to credit.
Tài liệu tham khảo
Abate T, Alene AD, Bergvinson D, Shiferaw B, Silim S, Orr A, Asfaw S (2012) Tropical Grain Legumes in Africa and South Asia. Knowledge and Opportunities. International Crops Research Institute for the Semi-Arid Tropics, Nairobi, Kenya
Adesina AA, Forson JB (1995) Farmers' perceptions and adoption of new agricultural technology: Evidence from analysis in Burkina Faso and Guinea, West Africa. Agric Econ 13:1–9
Akinsorotan AO (2009) Impact of Field Day on Oil Palm Farmers Knowledge. J Soc Sci 20(1):67–70
Bentley JW (2009) Impact of IPM extension for small-holder farmers in the tropics. In: Peshin R, Dhawan AK (eds) Integrated pest management: dissemination and impact. Springer, New York, NY, pp 333–346
Conley, T. and C. Udry (2005) Learning about a new technology: Pineapple in Ghana,” Working paper, University of Chicago and Yale University.
Davis K et al (2010) Impact of farmer field schools on agricultural productivity and poverty in East Africa IFPRI Discussion Paper 00992. International Food Policy Research Institute, Washington, D.C
Diagne A (2006) Diffusion and adoption of NERICA eice varieties in Côte d’Ivoire. Dev Econ XLIV-2:208–31
Diagne 2012 Adoption: A Stata routine for consistent estimation of population technology adoption parameters. www.stata.com/meeting/sandiego12/materials/sd12_diagne.pdf
Diagne A, Demont M (2007) Taking a New look at Empirical Models of Adoption: Average Treatment Effect estimation of Adoption rate and its Determinants. Agric Econ 37(2–3):201–210
Feder G, Slade R (1984) The acquisition of information and the adoption of new technology. Amer J of Agric Econ 66(2):312–320
Freeman HA, Van der Merwe PJA, Subrahmanyam P, Chiyembekeza AJ, Kaguongo W (2002) Assessing adoption potential of new groundnut varieties in Malawi. Exp Agric 38(2):211–221. ISSN 0014–4797.
Høgh-jensen H, Myaka FA, Sakala WD, Kamalongo D, Ngwira A, Vesterager JM, Odgaard R, Adu-gyamfi JJ (2007) Yields and qualities of pigeonpea varieties grown under smallholder farmers’ conditions in eastern and southern Africa. Afric J Agric Res 2:269–278
Kumwenda I, Madola M (2005) The status of contract farming in Malawi, Paper submitted to the Food, Agriculture and Natural Resources Policy Analysis Network
Malawi government (2006) The Crops Production Policy
Manski C (2004) Social learning from private information: The dynamics of the selection problem. Rev Econ Stud 71:443–458
Muwalo ES, Palian A, Nkahata B, Ndawala RS, Ng’oma MD, Ritchie M, Nyandule Phiri GSVK (1999) Assessment of pigeonpea pest, storage methods and control methods used on farm in Malawi. Presented at the 1999 annual rsearch project meetings at Natural Resources College 4–7 August 1999, Lilongwe, Malawi
Orr, A and Kabombo, B Roth, C Harris, D and V Doyle (2013) Testing Integrated Food Energy Systems: Improved Stoves and Pigeon Pea in Southern Malawi. Socioeconomics Discussion Paper Series 8. Socioeconomics Discussion Paper Series]
Orr A, Kabombo B, Roth C, Harris D, Doyle V (2015) Adoption of integrated food-energy systems: improved cookstoves and pigeonpea in southern. Malawi Expl Agric 51(2):191–209
Orr. A and S.Orr. 2002. Agriculture and micro enterprise in Malawi’s rural south. Agricultural Research & Extension Network Paper No. 119
Phillips J (2008) A comparative econometric study of the barriers to adoption of New Rice Crops (NERICAs) in West Africa. MSc dissertatio n, School of Oriental and African Studies, University of London, UK.
Rogers EM (2003) Diffusion of innovations, 5th edn. Free Press, New York
Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55
Rubin D (1974) Estimating Causal Effects of Treatments in Randomized and Non-randomized Studies. J Educ Psychol 66:688–701
Simtowe F, Bekele S, Menale K, Monyo E, Silim S, Muricho G (2009) Assessment of the Current Situation and Future Outlooks for the groundnut Sub-Sector in Malawi. International Crops Research Institute for the Semi Arid Tropics, Nairobi
Snapp SS, Rohrbach DD, Simtowe F, Freeman HA (2002) Sustainable soil management options for Malawi: can smallholder farmers grow more legumes? Agric Ecosyst Environ 91:159–174
Uaiene R.N., C. Arndt and W. A. Masters (2009) Determinants of agricultural technology adoption in Mozambique; Discussion papers No. 67E.Accessed at http://docplayer.net/8027694-Determinants-of-agricultural-technology-adoption-in-mozambique.html on March 2010
Wooldrige J (2002) Econometric analysis of cross section and panael data. TheMIT press, Cambridge, Massachusetts, USA
Yatchew A, Griliches Z (1985) Specification Error in Probit Models, The Review of Economics and Statistics. Rev Econ Stat 67(1):134–39, MIT Press