Abstract
This chapter analyzes the impact of climate change on net revenues of five major food crops in Ghanaian using Structural Ricardian method. First, a multinomial logit regression is used to evaluate crop selection among food crop farmers. The results of this regression show that warming is likely to prompt farmers to switch from the cultivation of cassava and maize to the planting of sorghum, rice and yam. Reduced rainfall is expected to decrease the selection of maize among farmers, and increase the planting of other food crops (cassava, sorghum, rice and yam). Taking into account crop selection bias, warming increases revenues of cassava and sorghum whiles additional rainfall increases sorghum revenue and decreases revenues of cassava and maize. As a long-term phenomenon, climate change is projected to reduce expected revenue from cassava and maize, but the losses in revenue can be minimized through adaptation by switching among crops. Climate change is expected to positive impact on revenues of sorghum and yam, which is expected to be maximized through crop switching (climate change adaptation). This study suggests public investment in research on high-yielding, heat-tolerant and flood-prone varieties of the above mentioned food crops in order to make crop switching a more beneficial exercise for farmers.
Parts of this chapter is also published in International Development and Cooperation 19(4):5–16.
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Notes
- 1.
There are yam festivals for many ethnic groups in Ghana. Most traditional Ghanaian dishes are prepared from cassava and maize in many locations. In the northern part of Ghana, sorghum is used in preparation of traditional dishes during funerals.
References
Bourguignon F, Fournier M, Gurgand M (2007) Selection bias corrections based on the multinomial logit model: Monte Carlo comparisons. J Econ Surv 21:174–205
Breisinger C, Thurlow J, Duncan M (2007) A 2005 social accounting matrix for Ghana. Ghana Statistical Services and International Food Policy Research Institute, Accra/Washington, http://www.ifpri.org/data/ghana03.asp. Retrieved 12 Jan 2011
CIAT (International Center for Tropical Agriculture) (2011) Predicting the impact of climate change on the cocoa-growing regions in Ghana and Cote D’Ivoire. http://www.ciat.cgiar.org/Newsroom/Documents/ghana_ivory_coast_climate_change_and_cocoa.pdf. Accessed 18 Apr 2012
Delgado CL (1995) Agricultural diversification and export promotion in Sub-Saharan Africa. Food Policy 20(3):225–243
Dubin JA, McFadden DL (1984) An econometric analysis of residential appliance holdings and consumption. Econometrica 52:345–362
Friedman M (1957) A theory of the consumption function. Princeton University Press, Princeton
Gallup J, Radelet S, Warner A (1998) Economic growth and the income of the Poor. CAER II Discussion Paper 36, Harvard Institute for International Development, Boston
GEPA (Ghana Environmental Protection Agency) (2001) Ghana's initial national communications report. United Nations Framework Convention on Climate Change, Accra
Ghana Environmental Protection Agency (GEPA) (2007) Climate change and the Ghanaian economy. Policy Advice Series, vol 1. Ghana Government Policy Document, Accra
Ghana Statistical Service (GSS) (2005) Ghana living standards survey V. Ghana Government, Accra
Heckman JJ (1979) Sample selection bias as a specification error. Econometrica 47(1):153–162
Kurukulasuriya P, Mendelsohn R (2006) A ricardian analysis of the impact of climate change on cropland. CEEPA Discussion Paper 8, CEEPA, University of Pretoria. http://www.ceepa.co.za/docs/CDP8.pdf. Accessed 15 June 2011
Lee LF (1983) Generalized econometric models with selectivity. Econometrica 51:507–512
Mendelsohn R, Dinar A (1999) Climate change, agriculture, and developing countries: does adaptation matter? World Bank Res Obs 14(2):277–293
Mendelsohn R, Dinar A (2009) Climate change and agriculture: an economic analysis of global impacts, adaptation and distributional effects. Edward Elgar Publishing Ltd, Cheltenham/Northampton
Mendelsohn R, Dinar A, Sanghi A (2001) The effect of development on the climate sensitivity of agriculture. Enviro Devel Econ 6:85–101
Mendelsohn R, Neumann J (1999) The impacts of climate change on the US economy. Cambridge University Press, Cambridge
Mendelsohn R, Nordhaus W, Shaw D (1994) The impact of global warming on agriculture: a ricardian analysis. Am Econ Rev 84:753–771, http://www.geofaculty.org:16080/figures/Rood_Climate_Change_AOSS480_Documents/Mendelsohn_Climate_Change_Agriculture_AmEconRev_1994.pdf. Accessed 15 June 2011
Nankani G (2009) Challenges of the Ghanaian economy. http://www.ghanabusinessnews.com/2009/02/25/the-challenge-of-agriculture-in-ghana-what-is-to-be-done/. Accessed 12 July 2012
NEPAD (2009) Comprehensive Africa Agricultural Development Programme (CAADP) Annual Report. http://www.nepad-caadp.net/pdf/CAADP_AR2010_WEB.pdf. Accessed 12 Aug 2012
Sagoe R (2006) Climate change and root production in Ghana. http://www.nlcap.net/fileadmin/NCAP/Countries/Ghana/ROOT_TUBERS_DRAFT_FINAL_REPORT.pdf. Accessed 9 June 2012
Sanghi A, Mendelsohn R, Dinar A (1998) The climate sensitivity of Indian agriculture. In: Dinar AR, Mendelsohn R, Evenson R, Parikh J, Sanghi A, Kumar K, McKinsey J, Lonergan S (eds) Measuring the impact of climate change on Indian agriculture. World Bank Technical Paper 402. World Bank, Washington
Seo SN, Mendelsohn R (2007) Measuring impacts and adaptations to climate change: a structural ricardian model of African livestock management. Agric Econ 38:151–165, http://dev.thegncs.org/sitefiles/file/Kenya_Adaptation_CRM_Livestock_Seo%20et%20al__2007.pdf. Accessed 15 June 2011
Seo SN, Mendelsohn R (2008) A structural ricardian analysis of climate change impacts and adaptations in African agriculture. World Bank Policy Research Series Working Paper 4603, Washington. http://www-wds.worldbank.org/servlet/WDSContentServer/WDSP/IB/2008/04/17/000158349_20080417151505/Rendered/PDF/WPS4603.pdf. Accessed 15 June 2011
Train K (2003) Discrete choice methods with simulation. Cambridge University Press, Cambridge
UNECA (2005) Economic report on Africa 2005: meeting the challenges of unemployment and poverty in Africa. Addis Ababa, Ethiopia
Zheren W (2008) Self-selection and earnings of migrants: evidence from rural China. Discussion Paper 08–25. Graduate School of Economics and Osaka School of International Public Policy (OSIPP), Japan
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Issahaku, Z.A., Maharjan, K.L. (2014). Climate Change Impact on Revenue of Major Food Crops in Ghana: Structural Ricardian Cross-Sectional Analysis. In: Maharjan, K. (eds) Communities and Livelihood Strategies in Developing Countries. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54774-7_2
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