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Guy Blaise Nkamleu

Researcher at International Institute of Tropical Agriculture

Publications -  38
Citations -  1256

Guy Blaise Nkamleu is an academic researcher from International Institute of Tropical Agriculture. The author has contributed to research in topics: Agricultural productivity & Agriculture. The author has an hindex of 15, co-authored 38 publications receiving 1184 citations. Previous affiliations of Guy Blaise Nkamleu include African Development Bank & CGIAR.

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Econometric analysis of the determinants of adoption of alley farming by farmers in the forest zone of southwest Cameroon

TL;DR: In this paper, the authors quantified, using an econometric model, the factors determining farmers' adoption and use of alley farming variants in southwest of Cameroon, based on a survey of 156 farmers in 11 villages in the region.
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Determinants of chemical input use in peri-urban lowland systems: bivariate probit analysis in Cameroon

TL;DR: In this article, the effect of socio-economic factors on the likelihood of using chemical fertilizer and pesticide in peri-urban lowland agricultural systems in Cameroon was examined and the bivariate probit model was employed to take account of the correlation between the disturbances.
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Productivity Growth, Technical Progress and Efficiency Change in African Agriculture

TL;DR: In this article, the authors examined the economic performance of a large number of African countries using an international comparable data set and the latest technique for analysis, focusing on growth in total factor productivity and its decomposition into technical change and efficiency change components.
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Factors affecting the adoption of agroforestry practices by farmers in Cameroon

TL;DR: In this article, the impact of socio-economic factors on the adoption of agroforestry practices in Cameroon was analyzed using primary farm-level data collected from June to December 1996.
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Modeling farmers' decisions on child labor and schooling in the cocoa sector: a multinomial logit analysis in Côte d'Ivoire

TL;DR: In this article, a multinomial logit model is used to capture choice probabilities across work and/or school options, and the results reveal that child labor in cocoa farms and nonenrollment in schools are significant.