IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Improved Legume Seed Demand Systems In Central Malawi: What Do Farmers’ Seed Expenditures Say About Their Preferences?

  • Kankwamba, Henry
  • Mangisoni, Julius H.
  • Simtowe, Franklin
  • Mausch, Kai
  • Siambi, Moses

The overall objective of this paper is to assess the demand for improved groundnut, bean, and soybean seed in central Malawi. Specifically, it examines how smallholder farmers respond to changes in market prices of improved legume seed. It also assesses factors that affect the decision to participate in improved seed technology transfer. Considering four commodities namely groundnuts, beans, soybeans and maize, a staple food, the paper estimates a multivariate probit and a linear approximate of the Almost Ideal Demand System (LA/AIDS) using cross section data collected by ICRISAT in 2010. Uncompensated price and expenditure elasticities are reported for the LA/AIDS model. The paper finds high own price elasticities in all four commodities considered. It also indicates that land, household size and education levels affect participation in improved technology. Cross elasticities varied across the commodities considered. As pertain expenditure elasticities, farmers would increase expenditure on improved groundnut and beans if their incomes increased. The results also reveal that if farmers’ incomes increase they would reduce soybean’s expenditure share. The results generally show that farmers are very sensitive to changes in improved legume seed prices and incomes.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://purl.umn.edu/131684
Download Restriction: no

Paper provided by International Association of Agricultural Economists in its series 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil with number 131684.

as
in new window

Length:
Date of creation: 2012
Date of revision:
Handle: RePEc:ags:iaae12:131684
Contact details of provider: Web page: http://www.iaae-agecon.org/Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Vassilis A. Hajivassiliou & Axel Borsch-Supan, 1990. "Smooth Unbiased Multivariate Probability Simulators for Maximum Likelihood Estimation of Limited Dependent Variable Models," Cowles Foundation Discussion Papers 960, Cowles Foundation for Research in Economics, Yale University.
  2. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
  3. Fisher, Monica, 2004. "Household welfare and forest dependence in Southern Malawi," Environment and Development Economics, Cambridge University Press, vol. 9(02), pages 135-154, May.
  4. Simtowe, Franklin & Zeller, Manfred, 2008. "The Impact of Access to Credit on the Adoption of hybrid maize in Malawi: An Empirical test of an Agricultural Household Model under credit market failure," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52076, African Association of Agricultural Economists (AAAE).
  5. Shahidur R. Khandker & Gayatri B. Koolwal & Hussain A. Samad, 2010. "Handbook on Impact Evaluation : Quantitative Methods and Practices," World Bank Publications, The World Bank, number 2693, March.
  6. Alboghdady, Mohamed Altabei & Alashry, Mohamed Khairy, 2010. "The demand for meat in Egypt: An almost ideal estimation," Journal of Cooperatives, NCERA-210, vol. 4(1), March.
  7. Alboghdady, Mohamed Altabei & Alashry, Mohamed Khairy, 2010. "The demand for meat in Egypt: An almost ideal estimation," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 4(1), March.
  8. Alston, Julian M & Foster, Kenneth A & Green, Richard D, 1994. "Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 351-56, May.
  9. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
  10. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
  11. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
  12. Simtowe, Franklin & Asfaw, Solomon & Diagne, Aliou & Shiferaw, Bekele A., 2010. "Determinants of Agricultural Technology adoption: the case of improved groundnut varieties in Malawi," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95921, African Association of Agricultural Economists (AAAE);Agricultural Economics Association of South Africa (AEASA).
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ags:iaae12:131684. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.