Welfare impacts of maize-pigeonpea intensification in Tanzania

Agricultural Economics

Volumn 43, Issue 1, 2012, Pages 27-43

  Amare, Mulubrhan ^a   Asfaw, Solomon ^b   Shiferaw, Bekele ^c  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

^b FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS   (Italy)

^c International Maize and Wheat Improvement Centre CIMMYT   (Kenya)

Author keywords

Adoption; Bivariate probit; Double hurdle; Maize; Pigeonpea; Propensity score matching; Switching regression; Tanzania

Indexed keywords

AGRICULTURAL INTENSIFICATION; CROP PRODUCTION; HUMAN CAPITAL; INCOME DISTRIBUTION; LEGUME; MAIZE; TECHNOLOGY ADOPTION; WELFARE IMPACT;

TANZANIA;

CAJANUS CAJAN; ZEA MAYS;

EID: 84855317450     PISSN: 01695150     EISSN: 15740862     Source Type: Journal    
DOI: 10.1111/j.1574-0862.2011.00563.x     Document Type: Article

References (27)

1. Angrist, J.D., 2001. Estimation of limited dependent variable models with dummy endogenous regressors: simple strategies for empirical practice. J. Bus. Econ. Statist. 19(1), 2-28.
2. Cragg, J.G., 1971. Some statistical models for limited dependent variables with applications for the demand for durable goods. Econometrica 39(5), 829-844.
3. Croppenstedt, A., Demeke, M., Meschi, M., 2003. Technology adoption in the presence of constraints: the case of fertilizer demand in Ethiopia. Rev. Devel. Econ. 7(1), 58-70.
4. de Janvry, A., Fafchamps, M., Sadoulet, E., 1991. Peasant household behaviour with missing markets: some paradoxes explained. Econ.c J. 101, 1400-1417.
5. de Janvry, A., Sadoulet, E., 2001. World poverty and the role of agricultural technology: direct and indirect effects. J. Devel. Stud. 38(4), 1-26.
6. Eskola, E., 2005. Agricultural marketing and supply chain management in Tanzania: case study. ESRF study on globalization and East Africa economies. Working Paper Series No. 16, University of Sussex, UK.
7. Feder, G., Just, R., Zilberman D., 1985. Adoption of agricultural innovation in developing countries: a survey. Econ. Devel. Cult. Change 33(2), 255-298.
8. Geberessiliese, N., Sanders J.H., 2006. Farm-level adoption of Sorghum Technologies in Tigray, Ethiopia. Agric. Syst. 91, 122-134.
9. Greene, W.H., 1997. Econometric Analysis, 3rd ed, Upper Saddle River, NJ
10. Greene, W.H., 2000. Econometric Analysis, 4th Ed. Prentice-Hall, Upper Saddle River, NJ
11. Heckman, J.J., Ichimura, H., Todd, P.E., 1997. Matching as an econometric evaluation estimator: evidence from evaluating a job training program. Rev. Econ. Stud. 64, 605-654.
12. Høgh-Jensen, H., Myaka, F.A., Sakala, W.D., Kamalongo, D., Ngwira, A., Vesterager, J.M., Odgaard R., Adu-Gyamfi, J.J., 2007. Yields and qualities of pigeonpea varieties grown under smallholder farmers' conditions in Eastern and Southern Africa. Afr. J. Agric. Res. 2(6), 269-278
13. Irz, X., Thirtle, C., Lin, L., Wiggins, S., 2001. Agricultural productivity growth and poverty alleviation. Devel. Pol. Rev. 19(4), 449-466.
14. Jones, A.M., 1992. A note on computation of the double-hurdle model with dependence with an application to tobacco expenditure. Bull. Econ. Res. 44(1), 67-74.
15. Kassie, M., Pender, J., Yesuf, M., Kohlin, G., Bluffstone, R., Mulugeta, E., 2007. Impact of soil conservation on crop production in the Northern Ethiopian highlands. Discussion Paper No. 733, International Food Policy Research Institute, Washington, DC
16. Kimaro A.A., Timmer, V.R., Chamshama, S.A.O., Ngaga Y.N., Kimaro D.A., 2009. Competition between maize and pigeonpea in semi-arid Tanzania: effect on yields and nutrition of crops. Agric. Ecosyst. Environ. 134, 115-125
17. Laure, D., 2007. Heckman's selection model, endogenous and exogenous switching models, a survey. The Selected Works of Laure C Dutoit. Available at (Last Consulted 22 May 2010)
18. Maddala, G., 1983. Limited Dependent and Qualitative Variables in Econometrics. Cambridge University Press, Cambridge, UK
19. Maddala, G.S., Nelson F.D., 1975. Switching regression models with endogenous and exogenous switching. Proceedings of the American Statistical Association (Business and Economics Section), pp. 423-426.
20. Mendola, M., 2007. Agricultural technology adoption and poverty reduction: a propensity score matching analysis for rural Bangladesh. Food Pol. 32, 237-393.
21. Minot, N., 2010. Staple food prices in Tanzania. Contributed Paper Prepared for the COMESA Policy Seminar Maputo, Mozambique, 25-26 January.
22. Pender, J., Kerr, J., 1998. Determinants of farmers' indigenous soil and water conservation investments in semi-arid India. Agric. Econ. 19, 113-125.
23. Rao, M.R., Mathuva, M.N., 2000. Legumes for improving maize yields and income in semi-arid Kenya. Agric. Ecosyst. Environ. 78, 123-137.
24. Rosenbaum, P.R., Rubin, D.B., 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70, 41-55.
25. Shiferaw, B., Kebede, T.A., You, L., 2008. Technology adoption under seed access constraint and the economic impacts of improved pigeonpea varieties in Tanzania. Agric. Econ. 39, 1-15.
26. Wooldridge, J.M., 2002. Econometric Analysis of Cross Section and Panel Data. The MIT Press, Cambridge
27. Yesuf, M., Köhlin, G., 2008. Market imperfections and farm technology adoption decisions: a case study from the highlands of Ethiopia. Environment for Development Discussion Paper Series 4, Gothenburg, Sweden