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Climate resilience in rural Zambia: evaluating farmers’ response to El Niño-induced drought

Published online by Cambridge University Press:  26 April 2021

Federica Alfani Open the ORCID record for Federica Alfani [Opens in a new window] ,
Aslihan Arslan Open the ORCID record for Aslihan Arslan [Opens in a new window] ,
Nancy McCarthy Open the ORCID record for Nancy McCarthy [Opens in a new window] ,
Romina Cavatassi  and
Nicholas Sitko Open the ORCID record for Nicholas Sitko [Opens in a new window]
Federica Alfani
Affiliation:
World Bank, Poverty and Equity Global Practice, Tunis, Tunisia
Aslihan Arslan*
Affiliation:
International Fund for Agricultural Development (IFAD), Research and Impact Assessment Division (RIA), Strategy and Knowledge Department, Rome, Italy
Nancy McCarthy
Affiliation:
LEAD Analytics, Inc., Washington, DC, USA
Romina Cavatassi
Affiliation:
International Fund for Agricultural Development (IFAD), Research and Impact Assessment Division (RIA), Strategy and Knowledge Department, Rome, Italy
Nicholas Sitko
Affiliation:
Food and Agriculture Organization of the United Nations (FAO), Inclusive Rural Transformation and Gender Equity (ESP), Rome, Italy
*
*Corresponding author. E-mail: [email protected]
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Abstract

This paper aims at identifying whether and how sustainable land management practices and livelihood diversification strategies have contributed to moderating the impacts of the El Niño-related drought in Zambia. This is done using a specifically designed survey called the El Niño Impact Assessment Survey, which is combined with the Rural Agricultural Livelihoods Surveys, as well as high resolution rainfall data at the ward level over 34 years. This unique panel data set allows us to control for the time-invariant unobserved heterogeneity to understand the impacts of shocks like El Niño, which are expected to become more frequent and severe as a result of climate change. We find that maize yields were substantially reduced and that household incomes were only partially protected from the shock thanks to diversification strategies. Mechanical erosion control measures and livestock diversification emerge as the only strategies that provided yield and income benefits under weather shock.

Keywords

climate shockscrop productivityincomesustainable land managementZambia

JEL classification

O13: Agriculture • Natural Resources • Energy • Environment • Other Primary Products Q12: Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets R11: Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
Type
Research Article
Information
Environment and Development Economics , Volume 26 , Special Issue 5-6: Weather and Climate Impacts in Developing Countries , October 2021 , pp. 582 - 604
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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References

Akresh, R (2008) (In)Efficiency in intrahousehold allocations. Working Paper, University of Illinois at Urbana Champaign. Available at http://faculty.las.illinois.edu/akresh/Akresh_ResearchPapers/22_Akresh_InefficiencyIntrahouseholdAllocations_8-2008.pdf.Google Scholar
Alderman, H and Paxson, C (1994) Do the poor insure? A synthesis of the literature on risk and consumption in developing countries. In Bacha, D. (ed.), Economics in A Changing World, Vol. 4 of Development, Trade and the Environment. Palgrave Macmillan, pp. 48–78.CrossRefGoogle Scholar
Appleton, S and Balihuta, A (1996) Education and agricultural productivity: evidence from Uganda. Journal of International Development 8, 415–444.3.0.CO;2-9>CrossRefGoogle Scholar
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.CrossRefGoogle Scholar
Arslan, A, McCarthy, N, Lipper, L, Asfaw, S, Cattaneo, A and Kokwe, M (2015) Climate smart agriculture? Assessing the adaptation implications in Zambia. Journal of Agricultural Economics 66, 753–780.CrossRefGoogle Scholar
Arslan, A, Belotti, F and Lipper, L (2017) Smallholder productivity and weather shocks: adoption and impact of widely promoted agricultural practices in Tanzania. Food Policy 69, 68–81.CrossRefGoogle Scholar
Arslan, A, Cavatassi, R, Alfani, F, McCarthy, N, Lipper, L and Kokwe, M (2018) Diversification under climate variability as part of a CSA strategy in rural Zambia. Journal of Development Studies 54, 457–480.CrossRefGoogle Scholar
Asadullah, MN and Rahman, S (2005) Farm productivity and efficiency in rural Bangladesh: the role of education revisited. Applied Economics 41, 17–33.CrossRefGoogle Scholar
Baez, JE and Mason, A (2008) Dealing with climate change: household risk management and adaptation in Latin America. Available at SSRN: http://dx.doi.org/10.2139/ssrn.1320666.CrossRefGoogle Scholar
Banerjee, L (2007) Effect of flood on agricultural wages in Bangladesh: an empirical analysis. World Development 35, 1989–2009.CrossRefGoogle Scholar
Baudron, F, Mwanza, HM, Triomphe, B and Bwalya, M (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, Food and Agriculture Organization of the United Nations.Google Scholar
Benhin, JKA (2008) South African crop farming and climate change: an economic assessment of impacts. Global Environmental Change 18, 666–678.CrossRefGoogle Scholar
Blanc, E and Schlenker, W (2017) The use of panel models in assessments of climate impacts on agriculture. Review of Environmental Economics and Policy 11, 258–279.CrossRefGoogle Scholar
Burke, M, Hsiang, SM and Miguel, E (2015) Global non-linear effect of temperature on economic production. Nature 527, 235–239.CrossRefGoogle ScholarPubMed
Cavatassi, R, Lipper, L and Narloch, U (2011) Modern variety adoption and risk management in drought prone areas: insights from the sorghum farmers of eastern Ethiopia. Agricultural Economics 42, 279–292.CrossRefGoogle Scholar
Cavatassi, R, Lipper, L and Winters, P (2012) Sowing the seeds of social relations: social capital and agricultural diversity in Hararghe Ethiopia, Environment and Development Economics 17, 547–578.CrossRefGoogle Scholar
Chamberlain, G (1984) Panel data. In Griliches, Z and Intriligator, MD (eds), Handbook of Econometrics, vol. 2. Amsterdam: North Holland, pp. 1248–1318.Google Scholar
Chidumayo, E (1987) A shifting cultivation system under population pressure in Zambia. Agroforestry Systems 5, 15–25.CrossRefGoogle Scholar
Chikowo, R (2011) Climatic risk analysis in conservation agriculture in varied biophysical and socioeconomic settings of southern Africa. Network Paper 03, Food and Agriculture Organization (FAO).Google Scholar
Croppenstedt, A, Demeke, M and Meschi, MM (2003) Technology adoption in the presence of constraints: the case of fertilizer demand in Ethiopia. Review of Development Economics 7, 58–70.CrossRefGoogle Scholar
CSO (2012) The 2012 Rural Agricultural Livelihoods Survey, Interviewer's Instruction Manual. Lusaka, Zambia: Central Statistical Office (Agriculture and Environment Division) and Ministry of Agriculture and Livestock (Policy and Planning Department).Google Scholar
CSO (2015) 2015 Living Conditions Monitoring Survey Report. Lusaka, Zambia: Central Statistical Office.Google Scholar
Davies, S (1993) Are coping strategies a cop out? IDS Bulletin 24, 60–72.CrossRefGoogle Scholar
De Groote, H and Coulibaly, N (1998) Gender and generation: an intra-household analysis on access to resources in southern Mali. African Crop Science Journal 6, 79–95.CrossRefGoogle Scholar
De Janvry, A, Fafchamps, M and Sadoulet, E (1991) Peasant household behaviour with missing markets: some paradoxes explained. The Economic Journal 101, 1400–1417.CrossRefGoogle Scholar
Dercon, S (2005) Risk, poverty and vulnerability in Africa. Journal of African Economies 14, 483–488.CrossRefGoogle Scholar
Dercon, S and Christiaensen, L (2007) Consumption risk, technology adoption, and poverty traps: evidence from Ethiopia. World Bank Policy Research Working Paper Series, 4257.Google Scholar
Deressa, TT, Hassan, RM, Ringler, C, Alemu, T and Yesuf, M (2009) Determinants of farmers’ choice of adaptation methods to climate change in the Nile Basin of Ethiopia. Global Environmental Change 19, 248–255.CrossRefGoogle Scholar
Di Falco, S and Chavas, JP (2009) On crop biodiversity, risk exposure, and food security in the highlands of Ethiopia. American Journal of Agricultural Economics 91, 599–611.CrossRefGoogle Scholar
FAO (2001) The Economics of Conservation Agriculture. Rome: Food and Agriculture Organization.Google Scholar
FAO (2007) The State of Food and Agriculture: Paying Farmers for Environmental Services. Rome: Food and Agriculture Organization.Google Scholar
Feder, G, Just, R and Zilberman, D (1985) Adoption of agricultural innovations in developing countries: a survey. Economic Development and Cultural Change 33, 255–298.CrossRefGoogle Scholar
Giller, KE, Witter, E, Corbeels, M and Tittonell, P (2009) Conservation agriculture and smallholder farming in Africa: the heretic's view. Field Crops Research 114, 23–34.CrossRefGoogle Scholar
Hasnah, EF and Coelli, T (2004) Assessing the performance of a nucleus estate and smallholder scheme for oil palm production in West Sumatra: a stochastic frontier analysis. Agricultural Systems 79, 17–30.CrossRefGoogle Scholar
Hill, R and Fuje, H (2018) What is the impact of drought on prices? Evidence from Ethiopia. Paper presented at the CSAE Conference, University of Oxford, 18–20 March 2018. Available at https://editorialexpress.com/cgi-bin/conference/download.cgi?db_name=CSAE2018&paper_id=746.Google Scholar
IPCC (2014) 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. Cambridge, UK and New York, NY: Cambridge University Press.Google Scholar
Kelly, M (2019) The standard errors of persistence. Working Paper Series No. WP19/13, University College Dublin, UCD Centre for Economic Research, Dublin.Google Scholar
Kinsey, B, Burger, K and Gunning, JW (1998) Coping with drought in Zimbabwe: survey evidence on responses of rural households to risk. World Development 26, 89–110.CrossRefGoogle Scholar
Macours, K, Premand, P and Vakis, R (2012) Transfers, diversification and household risk strategies: experimental evidence with lessons for climate change adaptation. CEPR Discussion Paper 8940. Centre for Economic Policy Research, London.CrossRefGoogle Scholar
Maggio, G and Sitko, N (2019) Knowing is half the battle: seasonal forecasts, adaptive cropping systems, and the mediating role of private markets in Zambia. Food Policy 89, 101781.CrossRefGoogle Scholar
Mano, R and Nhemachena, C (2006) Assessment of the economic impacts of climate change on agriculture in Zimbabwe: a Ricardian approach. CEEPA Discussion Paper No. 11. Centre for Environmental Economics and Policy in Africa, University of Pretoria, South Africa.CrossRefGoogle Scholar
McCarthy, N, Kilic, T, de la Fuente, A and Brubaker, JM (2018) Shelter from the storm? Household-level impacts of, and responses to, the 2015 floods in Malawi. Economics of Disasters and Climate Change 2, 237–258.CrossRefGoogle Scholar
Michler, JD, Baylis, K, Arends-Kuenning, M and Mazvimavi, K (2019) Conservation agriculture and climate resilience. Journal of Environmental Economics and Management 93, 148–169.CrossRefGoogle ScholarPubMed
Moock, PR (1981) Education and technical efficiency in small-farm production. Economic Development and Cultural Change 29, 723–739.CrossRefGoogle Scholar
Mueller, V and Quisumbing, A (2010) Short- and long-term effects of the 1998 Bangladesh flood on rural wages. IFPRI discussion paper no. 956, International Food Policy Research Institute (IFPRI).Google Scholar
Mundlak, Y (1978) On the pooling of time series and cross section data. Econometrica 46, 69–85.CrossRefGoogle Scholar
Murdoch, J (1995) Income smoothing and consumption smoothing. Journal of Economic Perspectives 9, 103–114.CrossRefGoogle Scholar
Nelson, GC and van der Mensbrugghe, D (2013) Public sector agricultural research priorities for sustainable food security: perspectives from plausible scenarios. Background paper for the conference, Food Security Futures: Research Priorities for the 21st Century, 11–12 April 2013, Dublin.CrossRefGoogle Scholar
Nkala, P, Mango, N, Corbeels, M, Veldwisch, GJ and Huising, J (2011) The conundrum of conservation agriculture and livelihoods in Southern Africa. African Journal of Agricultural Research 6, 5520–5528.Google Scholar
Pittelkow, CM, Liang, X, Linquist, BA, van Groenigen, KJ, Lee, J, Lundy, ME, van Gestel, N, Six, J, Venterea, RT, van Kessel, C et al. (2015) Productivity limits and potentials of the principles of conservation agriculture. Nature 517, 365–368.CrossRefGoogle ScholarPubMed
Reimers, M and Klasen, S (2012) Revisiting the role of education for agricultural productivity. American Journal of Agricultural Economics 95, 131–152.CrossRefGoogle Scholar
Rembold, F, Meroni, M, Atzberger, C, Ham, F and Fillol, E (2016) Agricultural drought monitoring using space-derived vegetation and biophysical products: a global perspective. In Thenkabail, PS (ed.), Remote Sensing Handbook, vol. III, Remote Sensing of Water Resources, Disasters and Urban Studies. Boca Raton, FL: CRC Press, pp. 349–365.Google Scholar
Roy, J, Tschakert, P, Waisman, H, Abdul Halim, S, Antwi-Agyei, P and Dasgupta, P (2018) Sustainable development, poverty eradication and reducing inequalities. In Hayward, B, Kanninen, M, Liverman, D, Okereke, C, Pinho, PF, Riahi, K and Suarez Rodriguez, AG (eds). Global Warming of 1.5°C. Geneva: IPCC, chapter 15.Google Scholar
Seo, N and Mendelsohn, R (2007) An analysis of livestock choice: adapting to climate change in Latin American farms. World Bank Policy Research Working Paper 4164, Washington, DC.CrossRefGoogle Scholar
Sitko, NJ, Chamberlin, J, Cunguara, B, Muyanga, M and Mangisoni, J (2017) A comparative political economic analysis of maize sector policies in eastern and Southern Africa. Food Policy 69, 194–202.CrossRefGoogle Scholar
Smit, B and Wandel, J (2006) Adaptation, adaptive capacity and vulnerability. Global Environmental Change 16, 282–292.CrossRefGoogle Scholar
Subakanya, M, Hichaambwa, M, Chapoto, A, Kangasniemi, M and Knowles, M (2018) Quantitative livelihood profile analysis of rural households in Zambia. IAAE Conference Paper, 28 July–2 August 2018, British Columbia.Google Scholar
Taraz, V (2018) Can farmers adapt to higher temperatures? Evidence from India. World Development 112, 205–219.CrossRefGoogle Scholar
Thornton, P and Lipper, L (2014) How does climate change alter agricultural strategies to support food security? IFPRI Discussion Paper 01340. International Food Policy Research Institute (IFPRI).CrossRefGoogle Scholar
Udry, C (1996) Gender, agricultural production, and the theory of the household. Journal of Political Economy 104, 1010–1046.CrossRefGoogle Scholar
Udry, C, Hoddinott, J, Alderman, H and Haddad, L (1995) Gender differentials in farm productivity: implications for household efficiency and agricultural policy. Food Policy 20, 407–423.CrossRefGoogle Scholar
Umar, BB, Aune, JB, Johnsen, FH and Lungu, OI (2011) Options for improving smallholder conservation agriculture in Zambia. Journal of Agricultural Science 3, 50–62.CrossRefGoogle Scholar
Wineman, A, Mason, N, Ochieng, J and Kirimi, L (2017) Weather extremes and household welfare in rural Kenya. Food Security 9, 243–255.CrossRefGoogle Scholar
Wooldridge, JM (2002) Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press.Google Scholar
Wooldridge, JM (2009) Correlated random effects models with unbalanced panels. Journal of Econometrics 211, 137–150.CrossRefGoogle Scholar
Yirga, CT (2007) The Dynamics of Soil Degradation and Incentives for Optimal Management in Central Highlands of Ethiopia (PhD thesis). Department of Agricultural Economics, Extension, and Rural Development, University of Pretoria, South Africa.Google Scholar
ZVAC (2016) In-Depth Vulnerability and Needs Assessment Report. Zambia Vulnerability Assessment Committee. Available at https://documents.wfp.org/stellent/groups/public/documents/ena/wfp278614.pdf.Google Scholar
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