Assessing the Impact of Adopting the Rutete Rice Variety on Rice Farmer Productivity: A Case Study of Rutete Variety Introduced by IRRI in Gihanga, Burundi

اقتصاد و توسعه کشاورزی

Volume 37, Issue 4 - Serial Number 61, December 2024, Pages 469-483   

Document Type: Research Article-en

DOI: 10.22067/jead.2024.86001.1239

Authors

Willy Marcel Ndayitwayeko^{* 1}; Daniel Mpawenimana²; Joseph Bigirimana³

¹Department of Rural Economics, Faculty of Economics and Management, University of Burundi, Burundi

²Department of Rural Economics, University o Burundi, Burundi

³International Rice Research Institute, Burundi

Abstract

Burundi, like other countries, invests in agricultural research and development. The adoption of the most productive varieties is one of the ways of increasing agricultural yields. Rice, because of its high productivity, is among the cereals which occupy an important place in the food security strategy in Burundi. This study aims to identify the effect of the adoption of this variety on the productivity of rice farmers. Using random sampling technique was used to select the respondents to fill the questionnaires, data were collected from 524 rice farmers spread across the five villages, namely Buringa, Murira, Nyeshanga, Ninga and Bwiza of the Gihanga commune in Bubanza, Burundi. The analysis of the determinants and the quasi-experimental method based on propensity score matching was used in the estimation of the results of the effect of adoption of the rutete variety on the productivity of rice farmers and estimate the results. The study found that the average rice yields for adopted and non-adopted farmers were respectively 9754 and 9912 kg/ha. Also, if non-adopting farmers decide to adopt the variety, their counterfactual rice yield would be 7931 kg/ha for adopters and for non-adopters reached 7927 kg/ha. The average effect of the treatment on the rice yield of the adopters was 1823 kg/ha and significant (p<0.01). The decision to adopt for non-adopting rice farmers could increase the average yield by 1984 kg/ha. The results imply the positive role of the adoption of the rutete rice variety on the performance of rice farmers in Gihanga. It is recommended that the government and research institutions involved in the agricultural sustainable development support rice farmers by increasing agricultural research innovation with the aim of increasing the yield of crops.

Keywords

Propensity Score Matching; Rutete Rice; Rice yields

References

1. Arouna, A., & Diagne, A. (2013). Impact de la production de semence riz sur le rendement et le revenu des ménages agricoles : une étude de cas du Bénin. 4th International Conference of the African Association of Agricultural Economists. Hammamet, Tunisia.
2. Autissier, D., & Moutot, A. (2007). Méthode de conduite du changement, diagnostic accompagnement pilotage. Paris, Dunod. 240 p.
3. Awotide, B., Diagne, A., & Omonona, B. (2012). Impact of improved agricultural technology adoption on sustainable rice productivity and rural farmers’ welfare in Nigeria: A local average treatment effect (Late) technique. African Economic Conference. Kigali, Rwanda.
4. Dehejia, R.H., & Wahba, S. (1998). Propensity scores matching methods for non experiemantal studies. Review of Economics and Statistics, 84(1), 151-161.
5. FAO. (2013). Multiplication et diffusion des semences de qualité des variétés améliorées et adaptées au changement climatique. Fiche de bonne pratique, 8p. http://www.fao.org/docrep/019/ar725f/ar725f.pdf (consulté le 14/08/2016)
6. IFAD. (2015). Smallholder Access to Markets (SAM) : Evaluation Synthesis. International Fund for Agricultural Development annual report.
7. Institut Rice Research Internatinal (2020). Annual Rapport, p.11.
8. Issoufou, O., Boubacar, S., Adam, T., & Yamba, B. (2017). Déterminants de l’adoption et impact des variétés améliorées sur la productivité du mil au Niger. African Crop Science Journal, 25(2). https://doi.org/4314/acsj.v25i2.6
9. ISTEEBU. (2018). Bulletin du commerce extérieur des marchandises. Bujumbura.
10. ISTEEBU. (2015). Annuaire des statistiques agricoles (Directoty of Agricultural statistics). Goverment Printer, Bujumbura, Burundi. 104p
11. Jégourel, (2019). L'Afrique et les marchés mondiaux des matières premières p.4-5.
12. MINAGRI. (2014). Stratégie Nationale de Développement de la Filière riz au Burundi p6.25_29.
13. Ndimanya, P., & Ndayitwayeko, W-M. (2010). A survey on the level of adoption of technologies in Burundi: a case study of rice in the Gihanga. University Research Centre for Social and Economic Development (CURDES).
14. Ogunniyi, A., & Kehinde, O. (2015). Impact of agricultural innovation on improved livelihood and productivity outcomes among smallholder farmers in rural Nigeria. Maastricht School of Management, Working paper, 7, 1-23.
15. PNUD. (2012). Rapport National de Synthèse : Elabore dans le cadre du processus de préparation de la conférence des nations unies sur le développement durable au Burundi.
16. Rea, L.M., & Parker, R.A. (1997). Designing and Conducting Survey Research: A Comprehensive Guide. San Francisco, CA: Josey-Bass Publishers.
17. Rosenbaum, P.R., & Rubin, D.B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55.
18. Sibilia (2013). Score de propension.
19. Smith, J., & Todd, P. (2000). “Is Propensity Score Matching the Answer to LaLonde’s Critique of Nonexperimental Estimators?” Unpublished manuscript, University of Western Ontario.
20. Tene, G.L.M., Havard, M., & Temple, L. (2013). Déterminants socio-économiques et institutionnels de l’adoption d’innovations techniques concernant la production de maïs à l’ouest du Cameroun,” Tropicultura, 31(2), 137–142.
21. Tesfaye, B., Bedada, B., & Mesay, Y. (2016). Impact of improved wheat technology adoption on productivity and income in Ethiopia. African Crop Science Journal, 24, 127-135. https://doi.org/10.4314/acsj.v24i1.14S
22. Wiredu, A.N., Gyasi, K.O., & Abdoulaye, T. (2010). “Impact of improved varieties on yield of rice producing households on Ghana”. -Household Survey, Ghana. Paper presented at the second Africa Rice Congress, Bamako, Mali, 22-26 March 2010: Innovation and Partnerships to Realize Africa’s Rice Potential. Accessed on 12^th June, 2014.
23. Zegeye, F., & Choumbou, A. (2022). Impact of agricultural technology adoption on wheat productivity: Evidence from North Shewa Zone, Amhara Region, Ethiopia. Department of Economics, College of Business and Economics, Debre Berhan University, Debre Berhan, Ethiopia
24. Zeller, M., Diagne, A., & Mataya, C. (1998). Market Acces by Smallholder farmers in Malawi: Implicatins for technology Adoption, agriculture Productivity n aind crop income. Agriculture Economics, 19(2), 219-229.
25. Zomboudre. (2017). Analyse des déterminants socio-économiques de l’adoption de l’activeur "compost plus" dans la boucle du mouhoun au burkinafaso.