Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-27T07:24:21.239Z Has data issue: false hasContentIssue false

Sustainable intensification amongst Ghana's pineapple farmers: the complexity of an innovation determines the effectiveness of its training

Published online by Cambridge University Press:  23 October 2017

David Wuepper*
Affiliation:
Agricultural Production and Resource Economics, Technical University Munich, Germany
Johannes Sauer
Affiliation:
Agricultural Production and Resource Economics, Technical University Munich, Germany
Linda Kleemann
Affiliation:
Group Poverty Reduction, Equity, and Development, The Kiel Institute for the World Economy, Kiel, Germany
*
*Corresponding author. Email: [email protected]

Abstract

To foster the adoption of sustainable intensification practices amongst Ghana's farmers, they are widely promoted through training sessions provided by development organizations, companies, and the public extension service. We investigate whether these training sessions are effective and find that they are effective only for the diffusion of organic fertilizers but not for mulching. We suggest that this comes from the complexity of the innovations. Mulching is one of the simplest sustainable intensification technologies. It diffuses easily through peer learning and, after an initial training delivered to a critical mass of farmers, does not require training anymore. The use of organic fertilizers, in contrast, requires more specific knowledge and adaptation, which limits the effectiveness of peer learning and increases the effectiveness of training. This suggests that to achieve a widespread diffusion of sustainable intensification amongst Ghana's farmers, training sessions should focus on those practices that are complex and thus difficult to learn from peers.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abdulai, A, Owusu, V and Goetz, R (2011) Land tenure differences and investment in land improvement measures: theoretical and empirical analyses. Journal of Development Economics 96, 6678.Google Scholar
Anderson, JR and Feder, G (2004) Agricultural extension: good intentions and hard realities. The World Bank Research Observer 19, 4160.Google Scholar
Angrist, JD (2001) Estimation of limited dependent variable models with dummy endogenous regressors. Journal of Business & Economic Statistics 19, 228.Google Scholar
Angrist, JD and Pischke, J-S (2008) Mostly Harmless Econometrics: An Empiricist's Companion. Princeton, NJ: Princeton University Press.Google Scholar
Auffhammer, M, Hsiang, SM, Schlenker, W and Sobel, A (2013) Using weather data and climate model output in economic analyses of climate change. Review of Environmental Economics and Policy 7, 181198.Google Scholar
Awodoyin, R, Ogbeide, F and Oluwole, O (2007) Effects of three mulch types on the growth and yield of tomato (Lycopersicon esculentum Mill.) and weed suppression in Ibadan, Rainforest-Savanna Transition Zone of Nigeria. Tropical Agricultural Research and Extension 10, 5360.Google Scholar
Bandiera, O and Rasul, I (2006) Social networks and technology adoption in northern Mozambique. The Economic Journal 116, 869902.Google Scholar
Barrett, CB, Bachke, ME, Bellemare, MF, Michelson, HC, Narayanan, S and Walker, TF (2012) Smallholder participation in contract farming: comparative evidence from five countries. World Development 40, 715730.Google Scholar
Beegle, K, Carletto, C and Himelein, K (2012) Reliability of recall in agricultural data. Journal of Development Economics 98, 3441.Google Scholar
Blume, LE and Durlauf, SN (2006) Identifying social interactions: a review. In Oakes, J and Kaufmann, S (eds). Methods in Social Epidemiology. New York: Wiley Publishers, pp. 287315.Google Scholar
Bold, T, Kaizzi, KC, Svensson, J and Yanagizawa-Drott, D (2017) Lemon technologies and adoption: measurement, theory and evidence from agricultural markets in Uganda. The Quarterly Journal of Economics 132(3), 10551100.Google Scholar
Bramoullé, Y, Djebbari, H and Fortin, B (2009) Identification of peer effects through social networks. Journal of Econometrics 150, 4155.Google Scholar
Brock, WA and Durlauf, SN (2001) Discrete choice with social interactions. The Review of Economic Studies 68, 235260.Google Scholar
Caeyers, B and Fafchamps, M (2016) Exclusion Bias in the Estimation of Peer Effects. Working Paper No. w22565. Cambridge, MA: National Bureau of Economic Research.Google Scholar
Conley, TG and Udry, CR (2010) Learning about a new technology: pineapple in Ghana. The American Economic Review 100(1), 3569.Google Scholar
De Nicola, F and Giné, X (2014) How accurate are recall data? Evidence from coastal India. Journal of Development Economics 106, 5265.Google Scholar
Dercon, S and Christiaensen, L (2011) Consumption risk, technology adoption and poverty traps: evidence from Ethiopia. Journal of Development Economics 96, 159173.Google Scholar
Dercon, S, Gilligan, DO, Hoddinott, J and Woldehanna, T (2009) The impact of agricultural extension and roads on poverty and consumption growth in fifteen Ethiopian villages. American Journal of Agricultural Economics 91, 10071021.Google Scholar
Diao, X and Sarpong, DB (2007) Cost Implications of Agricultural Land Degradation in Ghana: an Economywide, Multimarket Model Assessment. Washington, DC: International Food Policy Research Institute, Ghana Strategy Support Program.Google Scholar
Dong, Y and Lewbel, A (2015) A simple estimator for binary choice models with endogenous regressors. Econometric Reviews 34, 82105.Google Scholar
Duflo, E, Kremer, M and Robinson, J (2011) Nudging farmers to use fertilizer: theory and experimental evidence from Kenya. The American Economic Review 101, 23502390.Google Scholar
Dzomeku, I, Mahunu, G, Bayorbor, T and Obeng-Danso, P (2009) Effects of mulching on weed control and yield of hot pepper and tomato in the Guinea Savannah zone. Ghana Journal of Horticulture 7, 5362.Google Scholar
Feder, G, Just, RE and Zilberman, D (1985) Adoption of agricultural innovations in developing countries: a survey. Economic Development and Cultural Change 33(2), 255298.Google Scholar
Fenske, J (2011) Land tenure and investment incentives: evidence from West Africa. Journal of Development Economics 95, 137156.Google Scholar
Fold, N and Gough, KV (2008) From smallholders to transnationals: the impact of changing consumer preferences in the EU on Ghana's pineapple sector. Geoforum 39, 16871697.Google Scholar
Foster, AD and Rosenzweig, MR (1995) Learning by doing and learning from others: human capital and technical change in agriculture. Journal of Political Economy 103(6), 11761209.Google Scholar
Foster, AD and Rosenzweig, MR (2010) Microeconomics of technology adoption. Annual Review of Economics 2, 395424.CrossRefGoogle ScholarPubMed
Gatune, J, Chapman-Kodam, M, Korboe, K, Mulangu, F and Raktoarisoa, M (2013) Analysis of Trade Impacts on the Fresh Pineapple Sector in Ghana. Rome: Food and Agricultural Organization of the United Nations.Google Scholar
Genius, M, Koundouri, P, Nauges, C and Tzouvelekas, V (2014) Information transmission in irrigation technology adoption and diffusion: social learning, extension services, and spatial effects. American Journal of Agricultural Economics 96, 328344.Google Scholar
German Society for International Cooperation (2005) Market Oriented Agriculture Programme (MOAP), Unpublished Presentation, Accra, Ghana.Google Scholar
Goldstein, M and Udry, C (2008) The profits of power: land rights and agricultural investment in Ghana. Journal of Political Economy 116, 9811022.Google Scholar
Government of Ghana (2010) Medium-term national development policy framework: Ghana shared growth and development agenda, 2010–2013. Available at https://sustainabledevelopment.un.org/partnership/?p=2224.Google Scholar
Guryan, J, Kroft, K and Notowidigdo, MJ (2009) Peer effects in the workplace: evidence from random groupings in professional golf tournaments. American Economic Journal: Applied Economics 1, 3468.Google Scholar
Kabunga, NS, Dubois, T and Qaim, M (2012) Heterogeneous information exposure and technology adoption: the case of tissue culture bananas in Kenya. Agricultural Economics 43, 473486.Google Scholar
Karlan, D, Osei, RD, Osei-Akoto, I and Udry, C (2012) Agricultural Decisions After Relaxing Credit and Risk Constraints. Cambridge, MA: National Bureau of Economic Research.CrossRefGoogle Scholar
Kleemann, L and Abdulai, A (2013) Organic certification, agro-ecological practices and return on investment: evidence from pineapple producers in Ghana. Ecological Economics 93, 330341.Google Scholar
Kleemann, L, Abdulai, A and Buss, M (2014) Certification and access to export markets: adoption and return on investment of organic-certified pineapple farming in Ghana. World Development 64, 7992.Google Scholar
Krishnan, P and Patnam, M (2014) Neighbors and extension agents in Ethiopia: who matters more for technology adoption? American Journal of Agricultural Economics 96, 308327.Google Scholar
Lewbel, A, Dong, Y and Yang, TT (2012) Comparing features of convenient estimators for binary choice models with endogenous regressors. Canadian Journal of Economics/Revue canadienne d'économique 45, 809829.Google Scholar
Maertens, A and Barrett, CB (2013) Measuring social networks' effects on agricultural technology adoption. American Journal of Agricultural Economics 95, 353359.Google Scholar
Manski, CF (1993) Identification of endogenous social effects: the reflection problem. The Review of Economic Studies 60, 531542.Google Scholar
Manski, CF (2000) Economic Analysis of Social Interactions. Cambridge, MA: National Bureau of Economic Research.CrossRefGoogle Scholar
McIntyre, B, Herren, H, Wakhungu, J and Watson, R (2009) Agriculture at a crossroads: Sub-Saharan Africa. Science and Technology 5, published by IAASTD, 160 pages.Google Scholar
McMillan, M (2012) Blue Skies: How One Firm Overcame ‘Binding’ Constraints. Ghana Strategy Support Program Discussion Note No. 21, Washington, DC: International Food Policy, Research Institute.Google Scholar
Millennium Development Authority (2011) Millennium challenge account Ghana program agriculture project, Unpublished Presentation, Accra, Ghana.Google Scholar
Moffitt, RA (2001) Policy interventions, low-level equilibria, and social interactions. Social Dynamics 4, 617.Google Scholar
Moser, CM and Barrett, CB (2006) The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar. Agricultural Economics 35, 373388.Google Scholar
Munshi, K (2004) Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution. Journal of Development Economics 73, 185213.Google Scholar
Norman, J (1986) Effects of mulching and nitrogen fertilization on ‘Sugarloaf’ pineapple, Ananas comosus (L.) Merr., Der Tropenlandwirt–Journal of Agriculture in the Tropics and Subtropics 87, 4753.Google Scholar
Pan, Y, Smith, SC and Sulaiman, M (2015) Agricultural extension and technology adoption for food security: evidence from Uganda, IZA Discussion Papers.Google Scholar
Petrin, A and Train, K (2010) A control function approach to endogeneity in consumer choice models. Journal of Marketing Research 47, 313.Google Scholar
Pretty, J, Toulmin, C and Williams, S (2011) Sustainable intensification in African agriculture. International Journal of Agricultural Sustainability 9, 524.Google Scholar
Rogers, EM (2010) Diffusion of Innovations. New York: Simon and Schuster.Google Scholar
Snapp, S and Pound, B (2011) Agricultural Systems: Agroecology and Rural Innovation for Development. Cambridge: Academic Press.Google Scholar
Suri, T (2011) Selection and comparative advantage in technology adoption. Econometrica 79, 159209.Google Scholar
Suzuki, A, Jarvis, LS and Sexton, RJ (2011) Partial vertical integration, risk shifting, and product rejection in the high-value export supply chain: the Ghana pineapple sector. World Development 39, 16111623.Google Scholar
Tilman, D, Balzer, C, Hill, J and Befort, BL (2011) Global food demand and the sustainable intensification of agriculture. Proceedings of the National Academy of Sciences 108, 2026020264.Google Scholar
Udry, C and Anagol, S (2006) The return to capital in Ghana. The American Economic Review 96(2), 388393.Google Scholar
Udry, CR and Conley, TG (2004) Social Networks in Ghana. Working paper. New Haven, Connecticut: Yale University.Google Scholar
USAID (2009) Trade and investment program for a competitive export economy–final report. Available at http://pdf.usaid.gov/pdf_docs/Pdacp167.pdf.Google Scholar
USAID (2013) Agricultural development and value chain enhancement (ADVANCE)–project profile, Report prepared by ACDI VOCA. Available at http://www.acdivoca.org.Google Scholar
Van den Broeck, K and Dercon, S (2011) Information flows and social externalities in a Tanzanian banana growing village. The Journal of Development Studies 47, 231252.Google Scholar
Webber, CM and Labaste, P (2009) Building Competitiveness in Africa's Agriculture: A Guide to Value Chain Concepts and Applications. Washington, DC: World Bank Publications.Google Scholar
World Bank (2011) Horticultural Exports from Ghana: A Strategic Study, Joint Discussion Paper Issue 2 ‘Agriculture and Rural Development & Africa Region. Washington, DC: The International Bank for Reconstruction and Development/The World Bank.Google Scholar
Wuepper, D and Lybbert, T (2017) Perceived self-efficacy, poverty, and economic development. Annual Review of Resource Economics 9, 11.111.22.Google Scholar
Wuepper, D and Sauer, J (2016) Explaining the performance of contract farming in Ghana: the role of self-efficacy and social capital. Food Policy 62, 1127.Google Scholar
Wuepper, D, Zilberman, D and Sauer, J (2016) Self-efficacy or farming skills: what matters more for the adaptive capacity of Ghana's pineapple farmers?, Unpublished Working Paper, November 2016.Google Scholar
Wuepper, D, Ayenew, H and Sauer, J (2017) Social capital, income diversification, and climate change adaptation: panel data evidence from rural Ethiopia. Journal of Agricultural Economics, forthcoming.Google Scholar
Yeboah, E, Kahl, H and Arndt, C (2012) Soil testing guide, Market Oriented Agriculture Programme (MOAP), Ministry of Food and Agriculture Bulletin, Accra, Ghana.Google Scholar
Supplementary material: PDF

Wuepper et al supplementary material

Online Appendix

Download Wuepper et al supplementary material(PDF)
PDF 529.9 KB