IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Climate, Shocks, Weather and Maize Intensification Decisions in Rural Kenya

Listed author(s):
  • Martina Bozzola
  • Melinda Smale
  • Salvatore Di Falco

We explore how climate, climate risk and weather affect maize intensification among smallholders in Kenya. We find that they all play an important role in maize intensification choice. The economic implications of this choice are also analyzed. We find that the share of maize area planted to hybrid seeds contributes positively to expected crop income, without increasing exposure to income variability or downside risk. The promotion of maize intensification is potentially a valuable adaptation strategy to support the well-being of smallholder farmers.

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://repec.graduateinstitute.ch/pdfs/ciesrp/CIES_RP_40.pdf
Download Restriction: no

Paper provided by Centre for International Environmental Studies, The Graduate Institute in its series CIES Research Paper series with number 40-2016.

as
in new window

Length: 29 pages
Date of creation: 08 Jan 2016
Handle: RePEc:gii:ciesrp:cies_rp_40
Contact details of provider: Postal:
Voie-Creuse 16, 1211 Geneva 21

Phone: +41 22 908 4461
Fax: +41 22 908 4461
Web page: http://www.graduateinstitute.ch/cies
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. Ben Groom & Phoebe Koundouri & Celine Nauges & Alban Thomas, 2008. "The story of the moment: risk averse cypriot farmers respond to drought management," Applied Economics, Taylor & Francis Journals, vol. 40(3), pages 315-326.
  2. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
  3. Salvatore Di Falco & Marcella Veronesi, 2014. "Managing Environmental Risk in Presence of Climate Change: The Role of Adaptation in the Nile Basin of Ethiopia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(4), pages 553-577, April.
  4. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
  5. Kim, Kwansoo & Chavas, Jean-Paul, 2003. "Technological change and risk management: an application to the economics of corn production," Agricultural Economics, Blackwell, vol. 29(2), pages 125-142, October.
  6. Just, Richard E & Zilberman, David, 1983. "Stochastic Structure, Farm Size and Technology Adoption in Developing Agriculture," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 307-328, July.
  7. Collins, Julie, 2007. "Climate Change and Emissions Trading (Power Point)," 2007 Seminar, August 24, 2007, Wellington, New Zealand 97617, New Zealand Agricultural and Resource Economics Society.
  8. John M. Antle, 1987. "Econometric Estimation of Producers' Risk Attitudes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(3), pages 509-522.
  9. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
  10. Ester Boserup, 1975. "The Impact of Population Growth on Agricultural Output," The Quarterly Journal of Economics, Oxford University Press, vol. 89(2), pages 257-270.
  11. Mariaflavia Harari & Eliana La Ferrara, 2012. "Conflict, Climate and Cells: A disaggregated analysis," Working Papers 461, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  12. Kurosaki, Takashi & Fafchamps, Marcel, 2002. "Insurance market efficiency and crop choices in Pakistan," Journal of Development Economics, Elsevier, vol. 67(2), pages 419-453, April.
  13. Paswel P. Marenya & Christopher B. Barrett, 2009. "Soil quality and fertilizer use rates among smallholder farmers in western Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 561-572, September.
  14. Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2006. "Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 657-670.
  15. Ochieng, Justus & Kirimi, Lilian & Mathenge, Mary, 2016. "Effects of Climate Variability and Change on Agricultural Production: The Case of Small-Scale Farmers in Kenya," Working Papers 229711, Egerton University, Tegemeo Institute of Agricultural Policy and Development.
  16. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  17. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
  18. Marcel Fafchamps, 1992. "Cash Crop Production, Food Price Volatility, and Rural Market Integration in the Third World," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(1), pages 90-99.
  19. Menezes, C & Geiss, C & Tressler, J, 1980. "Increasing Downside Risk," American Economic Review, American Economic Association, vol. 70(5), pages 921-932, December.
  20. Ogada, Maurice Juma & Nyangena, Wilfred & Yesuf, Mahmud, 2010. "Production risk and farm technology adoption in the rain-fed semi-arid lands of Kenya," Journal of Cooperatives, NCERA-210, vol. 4(2), June.
  21. Mathenge, Mary K. & Smale, Melinda & Olwande, John, 2014. "The impacts of hybrid maize seed on the welfare of farming households in Kenya," Food Policy, Elsevier, vol. 44(C), pages 262-271.
  22. Antle, John M, 1983. "Testing the Stochastic Structure of Production: A Flexible Moment-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 192-201, July.
  23. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
  24. Ogada, Maurice Juma & Nyangena, Wilfred & Yesuf, Mahmud, 2010. "Production risk and farm technology adoption in the rain-fed semi-arid lands of Kenya," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 4(2), June.
  25. Marenya, Paswel Phiri & Barrett, Christopher B., 2009. "The effect of soil quality on fertilizer use rates among smallholder farmers in western Kenya," 2009 Conference, August 16-22, 2009, Beijing, China 51671, International Association of Agricultural Economists.
  26. repec:fth:prinin:455 is not listed on IDEAS
  27. Jones, Ashley D. & Dalton, Timothy J. & Smale, Melinda, 2012. "A Stochastic Production Function Analysis of Maize Hybrids and Yield Variability in Drought-Prone Areas of Kenya," Working Papers 202593, Egerton University, Tegemeo Institute of Agricultural Policy and Development.
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:gii:ciesrp:cies_rp_40. 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: (Kristine Kjeldsen)

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.