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Estimation of Actual and Potential Adoption Rates and Determinants of Improved Rice Variety Among Rice Farmers in Nigeria: The Case of NERICAs AgEcon
Dontsop Nguezet, Paul Martin; Diagne, Aliou; Okoruwa, Victor O..
The article used the ATE estimation framework to derive consistent semi-parametric estimators of population adoption rates and their determinants of the NERICA (New Rice for Africa) rice varieties in Nigeria. Empirical evidence shows that the observed sample adoption rate does not consistently estimate the population adoption rate even if the sample is random. NERICA awareness was found to be a major constraint to NERICA adoption in Nigeria. Several socioeconomic/demographic characteristics were found to be important determinants of NERICA awareness and adoption. Among those factors are age, gender, major occupation, year of experience and vocational training. In particular, we have found that the NERICA adoption rate in Nigeria would have been up to 76%...
Tipo: Journal Article Palavras-chave: NERICAs Adoption; Awareness; Average Treatment Effect; Nigeria; Crop Production/Industries.
Ano: 2010 URL: http://purl.umn.edu/95770
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Estimation of Actual and potential adoption rates and determinants of a new technology not universally known in the population: The case of NERICA rice varieties in Guinea AgEcon
Diagne, Aliou; Sogbossi, Marie-Josee; Simtowe, Franklin; Diawara, Sekou; Diallo, Abdoulaye Sadio; Barry, Alpha Bacar.
The NERICA (New Rice for Africa) rice varieties, developed by the Africa Rice Center during the 1990s, are providing hopes for raising the productivity of upland rice farmers in Africa because of their reported high yield potential and adaptability to the African conditions. The varieties are new and not widely disseminated in farming communities and there is lot of interest in the donor community in knowing their potential for widespread adoption across sub-Saharan Africa (SSA). However, when a technology is new and the target population is not universally exposed it, the observed sample adoption rate and classical models of adoption widely used in adoption studies does not inform reliably on its potential adoption and constraint to it in the full...
Tipo: Conference Paper or Presentation Palavras-chave: NERICA varieties; Technology Diffusion and adoption; Average Treatment Effect; Guinea; International Development; Research Methods/ Statistical Methods; C13; O33; Q12; Q16.
Ano: 2009 URL: http://purl.umn.edu/51644
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Evaluation de la diffusion et de l’adoption des variétés de riz NERICA en Guinée AgEcon
Diagne, Aliou; Sogbossi, Marie-Josee; Diawara, Sekou; Diallo, Abdoulaye Sadio; Barry, Alpha Bacar.
L’objectif de la présente étude est d’évaluer la diffusion et l’adoption des variétés de riz NERICA en Guinée cinq années après leur introduction. Les données collectées en 2002 sont relatives à 1535 paysans choisis dans 79 villages des quatre régions naturelles de la Guinée. L’approche d’estimation du taux d’adoption utilisée dans ce papier se fonde sur les théories modernes d’évaluation au niveau micro-économique des impacts d’interventions politiques. Nos résultats montrent que 39% de la population guinéenne connaissaient au moins une variété NERICA en 2001 avec 23% pour le taux d’adoption observé au sein de la population de riziculteurs. Plusieurs facteurs socio-économiques déterminent les taux de diffusion et d’adoption. Par ailleurs bien que le...
Tipo: Conference Paper or Presentation Palavras-chave: Mots clés Riz; NERICA; Diffusion; Adoption; Average Treatment Effect; Guinée; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Farm Management; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Institutional and Behavioral Economics; International Relations/Trade; Land Economics/Use; Production Economics; Research and Development/Tech Change/Emerging Technologies.
Ano: 2008 URL: http://purl.umn.edu/52153
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Determinants of Agricultural Technology adoption: the case of improved groundnut varieties in Malawi AgEcon
Simtowe, Franklin; Asfaw, Solomon; Diagne, Aliou; Shiferaw, Bekele A..
This paper applies the Average Treatment Effect (ATE) framework on data obtained from a random cross-section sample of 594 farmers in Malawi to document the actual and potential adoption rates of improved groundnut varieties and their determinants conditional on farmers’ awareness of the technology. The fact that not all farmers are exposed to the new technologies makes it difficult to obtain consistent estimates of population adoption rates and their determinants using direct sample estimates and classical adoption models such as probit or tobit. Our approach tries to control for exposure and selection bias in assessing the adoption rate of technology and its determinants. Results indicate that only 26% of the sampled farmers grew at least one of the...
Tipo: Journal Article Palavras-chave: Groundnuts; Adoption; Average Treatment Effect; Malawi; Crop Production/Industries.
Ano: 2010 URL: http://purl.umn.edu/95921
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Taking a New Look at Empirical Models of Adoption: Average Treatment Effect Estimation of Adoption Rates and their Determinants AgEcon
Diagne, Aliou.
This paper shows that the observed sample adoption rate does not consistently estimate the population adoption rate even if the sample is random. It is proved that instead the sample adoption rate is a consistent estimate of the population joint exposure and adoption rate, which does not inform about adoption per se. Likewise, it is shown that a model of adoption with observed adoption outcome as dependent variable and where exposure to the technology is not observed and controlled for cannot yield consistent estimates of the determinants of adoption. Such model can at best provide consistent estimates of the effects of the included explanatory variables on joint exposure and adoption. Even for that to be possible, the model must be explicitly specified as...
Tipo: Conference Paper or Presentation Palavras-chave: Technology Adoption; Rice; NERICA; West Africa; Average Treatment Effect; Research and Development/Tech Change/Emerging Technologies; C8; O3; Q12; Q16; Q55.
Ano: 2006 URL: http://purl.umn.edu/25623
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