Abstract
In order to develop a strategy for a rice Green Revolution in sub-Saharan Africa, this study investigates the determinants of the adoption of new technologies and their impact on productivity of rice cultivation. We analyzed two kinds of data sets collected in Tanzania: a nationally representative cross-sectional data and a 3-year panel data of irrigated farmers in one district. We found that not only irrigation but also agronomic practice s taught by training play key roles in increasing the adoption of modern technologies and the productivity of rice farming .
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Notes
- 1.
Key farmers were self-selected during all-village meetings on the basis of criteria such as age, ability to read and write, gender (to achieve a balance), residency in the Ilonga irrigation scheme, and active rice farming.
- 2.
Note that the number of sample households in 2010 is larger than in 2009 and 2008, because we use recall data for 2009 and 2008, which is collected during the survey conducted in 2010.
- 3.
Our data shows a higher proportion of irrigated plots amongst the sample plots than the other plots cultivated by sample farmers. The average paddy yield for the sample plots is 2.2 tons per hectare while that for the other plots is 1.8 tons per hectare. The adoption rate of MVs is also statistically higher for the sample plots than for the other plots. This suggests that our analysis shows the best practices of the representative rice farmers.
- 4.
In the household interviews, we asked the farmers to report their harvest in terms of the number of bags, which we then converted into kilograms. To compute the yield, the total harvest was divided by the size of plot reported in the interview.
- 5.
Note that the government extension office rs are not necessarily specialized in rice cultivation.
- 6.
The first stage regression is available in Nakano et al. (2014).
- 7.
In upland areas, farmers grow maize, beans, cassava, sunflowers, and other crops for both consumption and sale.
- 8.
These estimation results are not shown here.
- 9.
The correlation coefficient between plot size and total landholding is 0.58.
- 10.
Multi-nominal logit estimation of probability of being key or intermediary farmers is available for readers upon request.
References
Abdulai A, Huffmann W (2005) The diffusion of new agricultural technologies: the case of crossbred-cow technology in Tanzania. Am J Agric Econ 87(3):645–659
Adekambi SA, Diagne A, Simtowe, FP, Biaou G (2009) The Impact of agricultural technology adoption on poverty: the case of NERICA rice variety in Benin. Contributed paper presented at the International Association of Agricultural Economists conference in 2009, Beijing, 16–22 August 2009
Ali DA, Deininger K, Duponchel M (2014) Credit constraints and agricultural productivity: evidence from rural Rwanda. J Dev Stud 50(5):649–665
Balasubramanian V, Sie M, Hijmans RJ, Otsuka K (2007) Increasing rice production in sub-Saharan Africa: challenges and opportunities. Adv Agron 94(1):55–133
Becker M, Johnson DE (2001) Improved water control and crop management effects on lowland rice productivities in West Africa. Nutr Cycl Agroecosyst 59(1):119–127
Birkhaeuser D, Evenson RE, Feder G (1991) The economic impact of agricultural extension: a review. Econ Dev Cult Change 39(3):607–650
Carter MR (1989) The impact of credit on peasant productivity and differentiation in Nicaragua. J Dev Econ 31(1):13–36
David CC, Otsuka K (1994) Modern rice technology and income distribution in Asia. Lynne Rienner, Boulder
Diagne A (2006) Diffusion and adoption of NERICA rice varieties in Côte d’Ivoire. Dev Econ 44(2):208–231
Evenson RE, Gollin D (2003a) Assessing the impact of the Green Revolution, 1960–2000. Science 300(5620):758–762
Feder G, Just RE, Zilberman D (1985) Adoption of agricultural innovations in developing countries: a survey. Econ Dev Cult Change 33(2):255–298
Foster A, Rosenzweig M (2010) Microeconomics of technology adoption. Annu Rev Econ 2:395–424
Gine X, Klonner S (2005) Credit constraints as a barrier to technology adoption by the poor: lessons from South Indian small-scale fishery, vol 3665, World Bank policy research working paper. World Bank, Washington, DC
Imbens GW, Wooldridge J (2007) What’s new in econometrics? Difference-in differences estimation, Lecture notes 10 for NBER summer 2007. http://www.nber.org/WNE/lect_10_diffindiffs.pdf
International Development Centre of Japan (2004) Hyoka kekka no sogo bunseki: nougyou nouson kaihatsu (Fukyu; jirei kenkyu phase II) [Evaluation report of JICA agriculture project] [in Japanese]. http://www.jica.go.jp/activities/evaluation/tech_ga/after/pdf/2004/hyouka_nougyo2_02.pdf
Japan International Cooperation Agency (JICA) (2011) Joint terminal evaluation report on technical cooperation in supporting service delivery systems of irrigated agriculture in the United Republic of Tanzania, Dar es Salaam
Kajisa K, Payongayong E (2011) Potential of and constraints to the rice Green Revolution in Mozambique: a case study of the Chokwe irrigation scheme. Food Policy 36(5):615–626
Kijima Y, Otsuka K, Sserunkuuma D (2011) An inquiry into constraints on a Green Revolution in sub-Saharan Africa: the case of NERICA rice in Uganda. World Dev 39(1):77–86
Larson DF, Lampietti J, Gouel C, Cafiero C, Roberts J (2014a) Food security and storage in the Middle East and North Africa. World Bank Econ Rev 28(1):48–73
Larson DF, Ostuka K, Matsumoto T, Kilic T (2014b) Should African rural development strategies depend on smallholder farms? An exploration of the inverse-productivity hypothesis. Agric Econ 45(3):355–367
Meertens HCC, Ndege LJ, Lupeja PM (1999) The cultivation of rainfed lowland rice in Sukumaland, Tanzania. Agric Ecosyst Environ 76(1):31–45
Miyata S, Sawada Y (2007) Learning risk, and credit in households’ new technology investments: the case of aquaculture in rural Indonesia, mimeo, University of Tokyo
Moser CM, Barrett CB (2006) The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar. Agric Econ 35(3):373–388
Nakano Y, Bamba I, Diagne A, Otsuka K, Kajisa K (2013) The possibility of a rice Green Revolution in large-scale irrigation schemes in sub-Saharan Africa. In: Otsuka K, Larson L (eds) An African Green Revolution: finding ways to boost productivity on small farms. Springer, Dordrecht
Nakano Y, Kajisa K, Otsuka K (2014) Credit, access to extension, and irrigation: how can we achieve rice Green Revolution in Tanzania? Mimeo, National Graduate Institute for Policy Studies, Tokyo
Ngailo, JA, Kaswamila AL, Senkoro CL (2007) Rice production in the Maswa district, Tanzania and its contribution to poverty alleviation. Research on poverty alleviation, research report 7.1, Dar es Salaam
Otsuka K (2006) Why can’t we transform traditional agriculture in sub-Saharan Africa? Rev Agric Econ 28(3):332–337
Otsuka K (2007) Efficiency and equity effects of land markets. In: Evenson RE, Pingali PL (eds) Handbook of agricultural economics, vol 3. Elsevier, Amsterdam
Otsuka K, Kijima Y (2010) Technology policies for a Green Revolution and agricultural transformation in Africa. J Afr Econ 19(suppl 2):ii60–ii76
Otsuka K, Larson DF (2013b) An African Green Revolution: finding ways to boost productivity on small farms. Springer, Dordrecht
Raes D, Kafiriti EM, Wellens J, Deckers J, Maertens A, Mugogo S, Dondeyne S, Descheemaeker K (2007) Can soil bunds increase the production of rain-fed lowland rice in south eastern Tanzania? Agric Water Manage 89(3):229–235
Randhawa B, Gallardo J (2003) Microfinance regulation in Tanzania: implications for development and performance of the industry, Africa Region working paper series No.51. World Bank, Washington, DC
Seck PA, Tollens E, Wopereis MCS, Diagne A, Bamba I (2010) Rising trends and variability of rice prices: threats and opportunities for sub-Saharan Africa. Food Policy 35(5):403–411
StataCorp (2013) STATA Treatment-effects reference manual: potential outcomes/counterfactual outcomes release 13. StataCorp LP College Station, Texas
United Republic of Tanzania, Ministry of Agriculture Food Security and Cooperatives (2009) National rice development strategy: final draft. Dar es Salaam
Wooldridge JM (2010) Econometric analysis of cross section and panel data, 2nd edn. MIT Press, Cambridge
World Bank (2004) Implementation completion report on a credit in the amount of SDR 21.5 million to the United Republic of Tanzania for a national agricultural extension project II. Report number 29424. World Bank, Washington, DC
World Bank (2007) World development report, 2008: agriculture for development. World Bank, Washington, DC
Acknowledgements
We acknowledge Agape Kakumbula, Temba Vicent, and the other members of research team of International Rice Research Institute and Ministry of Agriculture, Tanzania for collecting the data. Authors appreciate financial support from the Japan International Corporation Agency Research Institute (JICA-RI), the Bill and Melinda Gates Foundation, Japan International Center for Agricultural Sciences, and the Global Center of Excellence Program of the Japan Society for the Promotion of Science at National Graduate Institute for Policy Studies, Ministry of Education of Japan, for data collection.
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Nakano, Y., Kajisa, K., Otsuka, K. (2016). On the Possibility of Rice Green Revolution in Irrigated and Rainfed Areas in Tanzania: An Assessment of Management Training and Credit Programs. In: Otsuka, K., Larson, D. (eds) In Pursuit of an African Green Revolution. Natural Resource Management and Policy, vol 48. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55693-0_3
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