Advertisement

Water Management Technology for Adaptation to Climate Change in Rice Production: Evidence of Smart-Valley Approach in West Africa

  • Aminou ArounaEmail author
  • Aristide K. A. Akpa
Chapter

Abstract

Low productivity is the main characteristic of agriculture in sub-Saharan Africa. Adverse effects of climate change increasingly reduce both productivity and production. Rice plays an important role in the food security of population. However, rice production faces many constraints, including low water control and soil fertility management. In order to improve water control and soil management and increase the productivity of local rice production in the context of climate change, a new technology (smart-valley approach) was introduced in Benin and Togo since 2010. The aim of this study is to assess the adoption, the diffusion and impact of smart-valley approach. Data were collected from 590 rice farming households in Benin and Togo. Results revealed that land tenure, total available area, paddy price and production in the lowland increase the adoption of smart-valley approach. Adoption of smart-valley approach increased from 110 ha in 2012 to 474 ha in 2014. In addition, the adoption enables producers to increase the yield by 0.9 tons ha−1, the net income by USD 267 per hectare under the condition of climate change. The study suggests that large diffusion and training on the technology would help for adaptation to climate change and improving their livelihood of smallholder rice farmers.

Keywords

Smart-valley approach Climate change Rice Diffusion Impact West Africa 

References

  1. Abadie, A. (2003). Semi-parametric instrumental variable estimation of treatment response models. Journal of Econometrics, 113(2), 231–263.CrossRefGoogle Scholar
  2. Africa Rice Center (AfricaRice). (2010). Launched a project to exploit the potential of African rice lowlands. Retrieved January, 2017, from http://www.warda.cgiar.org/warda/adrao/newsrel-smartiv-aug10.asp.
  3. Africa Rice Center (AfricaRice). (2011). Acquired from the rice crisis: Policies for food security in Africa. Cotonou: AfricaRice. 26 p.Google Scholar
  4. Africa Rice Center (AfricaRice). (2015). Final technical report of the Sawah, Market Access and Rice Technologies for Inland Valleys (SMART-IV) project. Cotonou: AfricaRice. 109 pages with DVD.Google Scholar
  5. Arouna, A., Akpa, A. K. A., & Adegbola, P. Y. (2017). Impact de la technologie smart-valley pour l’amenagement des basfonds sur le revenu et le rendement des petits producteurs de riz au Benin. Cahiers du CBRST, 12, 47–66.Google Scholar
  6. Chabi, A., Oloukoi, J., Mama, V. J., & Kiepe, P. (2010). Inventory by remote sensing of inland valleys agroecosystems in central Benin. Cahiers Agricultures, 19, 446–453.Google Scholar
  7. CIA World Factbook. (2016). Benin and Togo. Retrieved July 19, 2017, from https://www.cia.gov/library/publications/theworld-factbook/geos/bn.html.
  8. Food and Agriculture Organization of the United Nations. (2016). Integrated production and pest management programme in Africa. Retrieved July 10, 2017, from http://www.fao.org/agriculture/ippm/projects/benin/en/.
  9. Food and Agriculture Organization of the United Nations (FAO). (2009). Climate change in Africa: The threat to agriculture. Accra: FAO Regional Office for Africa.Google Scholar
  10. Gnangle, C. P., Glele, R. K., Assogbadjo, A. E., Vodounon, S., Yabi, J., & Sokpon, N. (2011). Tendances climatiques passées, modélisation, perceptions et adaptations locales au Bénin. Climatologie, 8, 27–40.Google Scholar
  11. Heckman, J. (2010). Building bridges entre structural and program evaluation approaches to Evaluating Policy. Journal of Economic Literature, 48(2), 356–398.CrossRefGoogle Scholar
  12. Heckman, J., & Vytlacil, E. (2005). Structural equations, treatment effects, and econometric policy evaluation. Econometrica, 73, 669–738.CrossRefGoogle Scholar
  13. Imbens, G. W., & Angrist, J. D. (1994). Identification and estimation of local average treatment effects. Econometrica, 62, 467–476.CrossRefGoogle Scholar
  14. Imbens, G. W., & Wooldridge, J. M. (2009). Recent developments in the econometrics of program evaluation. Journal of Economic Literature, 47(1), 5–86.CrossRefGoogle Scholar
  15. Intergovernmental Panel on Climate Change (IPCC). (2007). In S. Solomon, D. Qin, M. Manning, Z. Chen, & M. Marquis (Eds.), Climate change 2007: The physical science basis. Contribution of working Group 1 to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  16. International Rice Research Institute (IRRI), Africa Rice Center & International Center for Tropical Agriculture (CIAT). (2010). Global Rice Science Partnership (GRISP), CGIAR Thematic Area 3: Sustainable crop productivity increase for global food security, Proposal for a CGIAR Research Program on Rice-Based Production Systems. Los Banos: IRRI.Google Scholar
  17. Jagwe, J., Machethe, C., & Ouma, E. (2010). Transaction costs and smallholder farmers’ participation in banana markets in the Great Lakes Region of Burundi, Rwanda and the Democratic Republic of Congo. African Journal of Agricultural and Resource Economics, 6(1), 1–16.Google Scholar
  18. Mathenge, M., Place, F., Olwande, J., & Mithöfer, D. (2010). Participation in agricultural markets among the poor and marginalized: Analysis of factors influencing participation and impact on income and poverty in Kenya. Nairobi: University Egerton.Google Scholar
  19. Oladele, O. I., Bam, R. K., Buri, M. M., & Wakatsuki, T. (2010). Missing prerequisites for green revolution in Africa: Lessons and challenges of sawah rice eco-technology development and dissemination in Nigeria and Ghana. Journal of Food, Agriculture and Environment, 8, 1014–1018.Google Scholar
  20. Rodenburg J (2013) Inland valleys: Africa’s future food baskets. In: Realizing Africa’s rice promise, Marco CSW, Johnson DE, Ahmadi N, Tollens E, Jalloh A CAB International. London, pp 276-293.CrossRefGoogle Scholar
  21. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, NY: The Free Press, A Division of Simon & Schuster.Google Scholar
  22. Trading Economics. (2016). Africa GDP per capita. Retrieved June 25, 2017, from https://tradingeconomics.com/country-list/gdp-per-capita?continent=africa.
  23. United States Department of Agriculture (USDA). (2016). Production, supply and distribution online. Retrieved February 15, 2017, from http://apps.fas.usda.gov/psdonline/psdQuery.aspx.
  24. Wakatsuki, T., & Masunaga, T. (2005). Ecological engineering for sustainable food products and the restoration of degraded watersheds in tropics of low pH soils: Focus on West Africa. Soil Science & Plant Nutrition, 51, 629–636.CrossRefGoogle Scholar
  25. Wakatsuki, T., Buri, M. M., Obalum, S. E., Bam, R., Oladele, O. I., & Ademiluyi, S. Y. (2011) Farmers personal irrigated sawah systems to realize the green revolution and Africa’s rice potential. In First International Conference on Rice for Food, Market and Development (Rice-Africa), March 3–5, 2011. Abuja, Nigeria.Google Scholar
  26. World Bank. (2010). World development report 2010: Development and climate change. Washington, DC: World Bank.CrossRefGoogle Scholar
  27. World Food Programme (WFP). (2009). Global Analysis of Vulnerability, Food Security and Nutrition (AGVSAN). 152 p.Google Scholar
  28. Zwart, S. (2014). Where is my technology going? Mapping of adoption of technologies and assessing diffusion pathways using geospatial technologies. Retrieved May 12, 2017, from https://smartiv.wordpress.com/.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Africa Rice Center (AfricaRice)BouakéCôte d’Ivoire
  2. 2.Africa Rice Center (AfricaRice)CotonouBénin

Personalised recommendations