Weitere Kapitel dieses Buchs durch Wischen aufrufen
To support countries implementing CSA solutions, the Economics and Policy Innovations for Climate Smart Agriculture (EPIC) group at FAO uses a methodology based on building a solid evidence base. The knowledge gained from datasets that combine household, geographical and climate data helps design policies that enhance food security and climate resilience while also taking advantage of mitigation opportunities to obtain financing. Appropriate application of CSA principles depends on specific conditions that vary between and within countries. Demographic, environmental, economic and institutional factors are all important determinants of the effectiveness of any particular policy. This chapter builds upon econometric results obtained from previous analyses by developing a conceptual model that introduces the temporal aspects of household vulnerability. The method is based on a factorial design with two vulnerability levels (high and low) and two production methods (conventional or business as usual, and improved agricultural management with high CSA potential). Farms are classified into groups based on cluster analysis of survey data from Zambia. Results provide a baseline consisting of probability distributions of yields, labor use, cash inputs and profit for each of the four combinations of vulnerability level and production system. This is useful for stochastic dominance analysis, but additional work is required to incorporate the temporal aspect of the problem. The chapter identifies data gaps and additional analyses required to capture the spatio-temporal aspects of household vulnerability and adaptive capacity.
Acosta-Michlik L, Espaldon V. (2008). Assessing vulnerability of selected farming communities in the Philippines based on a behavioural model of agent's adaptation to global environmental change. Global Environmental Change. 18: 554–563. CrossRef
Adger, W. N., N. Brooks, et al. (2004). New Indicators of Vulnerability and Adaptive Capacity. Technical Report 7. Norwich, University of East Anglia. Tyndall Centre for Climate Change Research.
Anderson, J. R., Dillon, J. L., & Hardaker, J. E. (1977). Agricultural decision analysis. The Iowa State University Press, Ames.
Arslan, A., McCarthy, N., Lipper, L., Asfaw, S. and Cattaneo, A. and Kokwe, M. (2015). Climate Smart Agriculture? Assessing the Adaptation Implications in Zambia. Journal of Agricultural Economics, 66 (3): 753–780.
Arslan, A., McCarthy, N., Lipper, L., Asfaw, S. and Cattaneo, A. (2014). Adoption and intensity of adoption of conservation farming practices in Zambia. Agriculture, Ecosystems & Environment. 187: 72–86. CrossRef
Asfaw, S., McCarthy, N., Lipper, L., Arslan, A., Cattaneo, A., Kachulu, M. (2014) Climate variability, adaptation strategies and food security in Malawi. ESA Working Paper No. 14–08, FAO, Rome.
Baudron, F., H. M. Mwanza, B. Triomphe, and M. Bwalya (2007). Conservation Agriculture in Zambia: A Case Study of Southern Province. Nairobi: African Conservation Tillage Network, Centre de Coopération Internationale de Recherche Agronomique pour le Développement, and Food and Agriculture Organization of the United Nations.
Branca G, McCarthy N, Lipper L and Jolejole M.C. (2013). Food security, climate change and sustainable land management, a review. Agronomy for sustainable development. 33:635–650. CrossRef
Branca, G. et al., (2015). Benefit-cost analysis of sustainable land management technologies for CSA in Zambia. Final report. FAO-CSA Project. May.
Erenstein, O., Sayre, K., Wall, P., Dixon, J., & Hellin, J. (2008). Adapting no-tillage agriculture to the conditions of smallholder maize and wheat farmers in the tropics and sub-tropics. No-till Farming Systems. 253–278.
FAO (2011). FAO-Adapt: FAO’s Framework programme on Climate Change Adaptation. Rome, FAO.
Hoddinott, John F. (2014). Resilience: A primer. 2020 Conference Brief 8. May 17–19, Addis Ababa, Ethiopia. Washington, D.C.: International Food Policy Research Institute (IFPRI).
IPCC 2014: Summary for policymakers. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L. White (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1–32.
IPCC (2007a). Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change Climate Change 2007, Fourth Assessment Report. M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden and C. E. Hanson. Cambridge, United Kingdom and New York, NY, USA, Cambridge University Press.
Kanyanga, J., Thomas, T. S., Hachigonta, S. and Sibanda, L.M. (2013). Zambia. in S. Hachigonta, G. C. Nelson, T. S. Thomas and L. M. Sibanda (eds.), Southern African Agriculture and Climate Change (Washington, D.C.: International Food Policy Research Institute 2013, pp. 225–289).
MAL. 2007. Investment Opportunities in Agriculture, Government of the Republic of Zambia.
Mazvimavi, K. (2011). Socio-economic Analysis of Conservation Agriculture in Southern Africa. FAO Network Paper No. 2. Rome, Italy: Food and Agriculture Organization of the United Nations.
McCarthy, N., Lipper, L., & Branca, G. (2011). Climate-Smart Agriculture: Smallholder Adoption and Implications for Climate Change Adaptation and Mitigation. Mitigation of Climate Change in Agriculture Series (Vol. 4).
Moschini, G. and Hennessy, D.A. (2001). Uncertainty, risk aversion, and risk management for agricultural producers, Handbook of agricultural economics 1: 88–153.
Ngoma, H., Mulenga B. P., Jayne T. S. (2014). What Explains Minimal Usage of Minimum Tillage Practices in Zambia? Evidence from District-representative Data. No 165886, Food Security Collaborative Working Papers, Michigan State University, Department of Agricultural, Food, and Resource Economics.
OECD (2009). Integrating Climate Change Adaptation into Development Co-operation: Policy Guidance, OECD.
Skjeflo, S. (2013). Measuring household vulnerability to climate change—Why markets matter. Global Environmental Change 23(6): 1694–1701. CrossRef
- Identifying Strategies to Enhance the Resilience of Smallholder Farming Systems: Evidence from Zambia
Neuer Inhalt/© Stellmach, Neuer Inhalt/© BBL, Neuer Inhalt/© Maturus, Pluta Logo/© Pluta, Neuer Inhalt/© hww, digitale Transformation/© Maksym Yemelyanov | Fotolia