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Conservation agriculture's effect on smallholder farmer wellbeing in Mozambique
Part of:
RAF Social Disadvantage Collection
Published online by Cambridge University Press: 28 October 2021
Abstract
Conservation agriculture (CA) is an important technology in many developing countries for increasing smallholder agricultural productivity and conserving arable soils. This study focuses on the effect of CA on smallholder household wellbeing including productive assets, livestock and housing material quality. The study uses a survey of CA adopters and non-adopters in the Tete and Barue districts of Mozambique. Propensity score matching was used to develop two counterfactual groups; (1) non-adopters in the communities that had received technical assistance on implementing CA, and (2) non-adopting households in communities that had not received CA instruction. Results suggest that CA adopters realized higher levels of farm production assets and better quality housing materials. CA adoption had no association with livestock ownership. The findings are encouraging with respect to demonstrating the relationship between CA adoption and improvements in smallholder household wellbeing.
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References
Abadie, A and Imbens, GW (2016) Matching on the estimated propensity score. Econometrica 84, 781–807.CrossRefGoogle Scholar
Abdulai, AN (2016) Impact of conservation agriculture technology on household welfare in Zambia. Agricultural Economics 47, 729–741.CrossRefGoogle Scholar
Abdulai, AN and Abdul-Rahaman, A (2019) Does conservation agriculture technology reduce farm household poverty? Evidence from rural Zambia. African Journal of Science, Technology, Innovation and Development 22, 177–201.Google Scholar
Andrews, DWK and Buchinsky, M (2000) A three-step method for choosing the number of bootstrap repetitions. Econometrica 68, 23–51.CrossRefGoogle Scholar
Arias, E and De Vos, S (1996) Using housing items to indicate socioeconomic status: Latin America. Social Indicators Research 38, 53–80.CrossRefGoogle Scholar
Böhringer, C and Jochem, PE (2007) Measuring the immeasurable—a survey of sustainability indices. Ecological Economics 63, 1–8.CrossRefGoogle Scholar
Cameron, AC and Trivedi, PK (2005) Microeconometrics. Cambridge, MA: Cambridge University Press.CrossRefGoogle Scholar
Cammaer, R (2016) Tracing sustainable agriculture in Mozambique. CARE IIED Working Paper, London, March 2016. Available at https://pubs.iied.org/sites/default/files/pdfs/migrate/14658IIED.pdf (Accessed 2/23/2021).Google Scholar
Combary, O and Traore, S (2021) Impacts of health services on agricultural labor productivity of rural households in Burkina Faso. Agricultural and Resource Economics Review 50, 150–169.CrossRefGoogle Scholar
Desiere, S, Vellema, W and D'Haese, M (2015) A validity assessment of the Progress out of Poverty Index. Evaluation and Program Planning 49, 10–18.CrossRefGoogle ScholarPubMed
Duflo, E, Glennerster, R and Kremer, M (2007) Using randomization in development economics research: a toolkit. Handbook of Development Economics 4, 3895–3962.CrossRefGoogle Scholar
Filimone, C, Humulane, A, Fabião, A and Dimande, B (2015) Problems faced and strategies adopted by farmers for adapting to climate change in Xai-Xai District, Gaza Province, Mozambique. CGIAR Info Note. Available at https://cgspace.cgiar.org/bitstream/handle/10568/65984/Info%20Note%20Xai-Xai%202015_%20FINAL.pdf (Accessed 2/23/2021).Google Scholar
Filmer, D and Pritchett, LH (2001) Estimating wealth effects without expenditure data—or tears: an application to educational enrollments in states of India. Demography 38, 115–132.Google ScholarPubMed
Food and Agriculture Organization (2019) Conservation agriculture. Available at http://www.fao.org/conservation-agriculture/overview/what-is-conservation-agriculture/en/ (Accessed December 2019).Google Scholar
Gelman, A and Rubin, DB (1992) Inference from iterative simulation using multiple sequences. Statistical Science 7, 457–472.CrossRefGoogle Scholar
Gelman, A, Carlin, JB, Stern, HS, Dunson, DB, Vehtari, A and Rubin, DB (2013) Bayesian Data Analysis. Boca Raton, FL: CRC Press.CrossRefGoogle Scholar
Giller, KE, Andersson, JA, Corbeels, M, Kirkegaard, J, Mortensen, D, Erenstein, O and Vanlauwe, B (2015) Beyond conservation agriculture. Frontiers in Plant Science 6, 870.CrossRefGoogle ScholarPubMed
Glynn, AN and Quinn, KM (2010) An introduction to the augmented inverse propensity weighted estimator. Political Analysis 18, 36–56.CrossRefGoogle Scholar
Grabowski, PP and Kerr, JM (2014) Resource constraints and partial adoption of conservation agriculture by hand-hoe farmers in Mozambique. International Journal of Agricultural Sustainability 12, 37–53.CrossRefGoogle Scholar
Grabowski, PP, Kerr, JM, Haggblade, S and Kabwe, S (2016) Determinants of adoption and disadoption of minimum tillage by cotton farmers in eastern Zambia. Agriculture, Ecosystems and Environment 231, 54–67.CrossRefGoogle Scholar
Guto, S (2012) Socio-ecological niches for minimum tillage and crop-residue retention in continuous maize cropping systems in smallholder farms of central Kenya, soil tillage conservation. Agronomy Journal 103, 644.Google Scholar
Haggblade, S and Tembo, G (2003) Conservation farming in Zambia, EPTD Discussion Paper 108, International Food Policy Research Institute. Washington, DC and Michigan State University.Google Scholar
Harttgen, K and Günther, I (2006) Households’ vulnerability to covariate and idiosyncratic shocks, Proceedings of the German Development Economics Conference, Berlin 2006 10, Verein für Socialpolitik, Research Committee Development Economics.Google Scholar
Heckman, JJ, Ichimura, H and Todd, P (1998) Matching as an econometric evaluation estimator. The Review of Economic Studies 65, 261–294.CrossRefGoogle Scholar
Heltberg, R, Oviedo, AM and Talukdar, F (2015) What do household surveys really tell us about risk, shocks, and risk management in the developing world? The Journal of Development Studies 51, 209–225.Google Scholar
Hoffman, MD and Gelman, A (2014) The no-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Journal of Machine Learning Research 15, 1593–1623.Google Scholar
Imbens, GW and Rubin, DB (2015) Causal Inference for Statistics, Social, and Biomedical Sciences. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Khonje, M, Manda, J, Alene, AD and Kassie, M (2015) Analysis of adoption and impacts of improved maize varieties in eastern Zambia. World Development 66, 695–706.CrossRefGoogle Scholar
Kidane, SM, Lambert, DM, Eash, NS, Roberts, RK and Thierfelder, C (2019) Conservation agriculture and maize production risk: the case of Mozambique smallholders. Agronomy Journal 111, 2626–2646.CrossRefGoogle Scholar
Lechner, M (2002) Program heterogeneity and propensity score matching: an application to the evaluation of active labor market policies. Review of Economics and Statistics 84, 205–220.CrossRefGoogle Scholar
Ljungkvist, E (2012) Formative Evaluation of Farmer Field Schools as Rural Extension Methodology in CARE's Programmes FAPIM and Primeiras e Segundas. Lund, Sweden: Lund University.Google Scholar
Ma, W, Renwick, A and Bicknell, K (2018) Higher intensity, higher profit? Empirical evidence from dairy farming in New Zealand. Journal of Agricultural Economics 69, 739–755.CrossRefGoogle Scholar
Manganhele, AT (2010) Improving access to credit for smallholder farmers in Mozambique: lessons from government efforts in developing countries of Africa and Asia (Masters of Science Thesis). Department of Agricultural Economics, Extension and Rural Development Faculty of Natural and Agricultural Sciences, University of Pretoria, Pretoria, South Africa.Google Scholar
Mango, N, Siziba, S and Makate, C (2017) The impact of adoption of conservation agriculture on smallholder farmers’ food security in semi-arid zones of southern Africa. Agriculture and Food Security 6, 32.CrossRefGoogle Scholar
Mcelreath, R (2020) Statistical Rethinking: A Bayesian Course with Examples in R and Stan. Boca Raton: CRC Press. (Code and more: https://xcelab.net/rm/software/).CrossRefGoogle Scholar
McNair, WE, Lambert, DM and Eash, NS (2015a) Conservation agriculture and household wellbeing: a non-causal comparison among smallholder farmers in Mozambique. Journal of Agricultural Science 7, 1–9.Google Scholar
McNair, WE, Lambert, DM and Eash, NS (2015b) Conservation agriculture practices and participation in Manica and Tete Maize Markets, Mozambique. African Journal of Economic and Sustainable Development 4, 49–73.CrossRefGoogle Scholar
Mendola, M (2007) Agricultural technology adoption and poverty reduction: a propensity-score matching analysis for rural Bangladesh. Food Policy 32, 372–393.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
Morgan, SL and Winship, C (2006) Counterfactuals and Causal Inference. Cambridge, MA: Cambridge University Press.Google Scholar
Ng'ombe, JN, Kalinda, TH and Tembo, G (2017) Does adoption of conservation farming practices result in increased crop revenue? Evidence from Zambia. Agrekon 56, 205–221.CrossRefGoogle Scholar
Ngwira, AR, Thierfelder, C, Eash, NS and Lambert, DM (2013) Risk and maize-based cropping systems for smallholder Malawi farmers using conservation agriculture technologies. Experimental Agriculture 49, 483–503.CrossRefGoogle Scholar
Njuki, J and Sanginga, PC (2013) Women, Livestock Ownership and Markets: Bridging the Gender Gap in Eastern and Southern Africa. London, UK: Routledge.CrossRefGoogle Scholar
Nyangena, W and Köhlin, G (2008) Estimating returns to soil and water conservation investments. An application to crop yield in Kenya. Environment for Development Discussion Paper Series. Economics for Development DP 08-32.Google Scholar
Place, F and Hazell, P (1993) Productivity effects of indigenous land tenure systems in sub-Saharan Africa. American Journal of Agricultural Economics 75, 10–19.CrossRefGoogle Scholar
Poi, BP (2004) From the help desk: some bootstrapping techniques. The Stata Journal 4, 312–328.CrossRefGoogle Scholar
Rubin, DB (2001) Using propensity scores to help design observational studies: application to the tobacco litigation. Health Services and Outcomes Research Methodology 2, 169–188.CrossRefGoogle Scholar
Sahn, DE and Stifel, D (2003) Exploring alternative measures of welfare in the absence of expenditure data. Review of Income and Wealth 49, 463–489.CrossRefGoogle Scholar
Silici, L (2010) Conservation agriculture and sustainable crop intensification in Lesotho (Vol. 10). Food and Agriculture Organization of the United Nations (FAO).Google Scholar
Silici, L, Bias, C and Cavane, E (2015) Sustainable agriculture for small-scale farmers in Mozambique. Country Report, International Institute for Environment and Development, London.Google Scholar
Singh, RB, Kumar, P and Woodhead, T (2002) Smallholder farmers in India. Food Security and Agricultural Policy. United Nations Food and Agriculture Organization RAP Publication 2002/03. Available at https://coin.fao.org/coin-static/cms/media/9/13170962616430/2002_03_high.pdf (Accessed 2/23/2021).Google Scholar
Słoczyński, T and Wooldridge, JM (2018) A general double robustness result for estimating average treatment effects. Econometric Theory 34, 112–133.CrossRefGoogle Scholar
Tambo, JA and Mockshell, J (2018) Differential impacts of conservation agriculture technology options on household income in Sub-Saharan Africa. Ecological Economics 151, 95–105.CrossRefGoogle Scholar
Tchale, H (2009) The efficiency of smallholder agriculture in Malawi. African Journal of Agricultural and Resource Economics 3, 101–121.Google Scholar
Thierfelder, C and Wall, PC (2009) Effects of conservation agriculture techniques on infiltration and soil water content in Zambia and Zimbabwe. Soil and Tillage Research 105, 217–227.CrossRefGoogle Scholar
Thierfelder, C, Cheesman, S and Rusinamhodzi, L (2013) Benefits and challenges of crop rotations in maize-based conservation agriculture (CA) cropping systems of southern Africa. International Journal of Agricultural Sustainability 11, 108–124.CrossRefGoogle Scholar
Thierfelder, C, Matemba-Mutasa, R and Rusinamhodzi, L (2015) Yield response of maize (Zea mays L.) to conservation agriculture cropping system in Southern Africa. Soil Tillage Research 146, 230–242.CrossRefGoogle Scholar
Thierfelder, C, Rusinamhodzi, L, Setimela, P, Walker, F and Eash, NS (2016) Conservation agriculture and drought-tolerant germplasm: reaping the benefits of climate-smart agriculture technologies in central Mozambique. Renewable Agriculture and Food Systems 31, 414–428.CrossRefGoogle Scholar
World Bank (2019) Country Profile-Mozambique. Available at https://www.worldbank.org/en/country/mozambique/overview (Accessed December 2019).Google Scholar
Zeng, D, Alwang, J, Norton, GW, Shiferaw, B, Jaleta, M and Yirga, C (2015) Ex post impacts of improved maize varieties on poverty in rural Ethiopia. Agricultural Economics 46, 515–526.CrossRefGoogle Scholar
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