Determinants of chemical input use in peri-urban lowland systems: bivariate probit analysis in Cameroon

Nkamleu, Guy Blaise; Adesina, Akinwumi A.

doi:10.1016/s0308-521x(99)00074-8

Cited by 112 publications

(78 citation statements)

References 7 publications

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“…The marginal effect of a unit increase (1 year) in farmer's level of education increases farmer's expenditure by 0.0193. This also confirms the previous studies by Nkamleu & Adesina (2000) and Asfaw & Admassie (2004). The potential of cocoa farm productivity is also a function of tree characteristics such as age.…”

Section: Research In Applied Economicssupporting

confidence: 91%

“…Previous studies in Africa by Malton (1994); Nkamleu & Adesina (2000) reported that men are generally more likely to adopt new agricultural technologies than women. Their results are not different from the results of this study as gender is positively sign and has significant effects in explaining farmer's investment in agrochemicals.…”

Section: Determinants Of Agrochemical Adoption and Expenditurementioning

confidence: 94%

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Modelling Farmers Investment in Agrochemicals: The Experience of Smallholder Cocoa Farmers in Ghana

Danso-Abbeam

Setsoafia²,

Ansah³

2014

RAE

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The study analyzes the effects of the determinants of farmer's adoption of and investment in agrochemicals by collecting primary data from 156 sampled cocoa farmers in the Sefwi-Wiawso Municipality of Ghana. Descriptive statistical technique was employed to analyze demographic and farm-specific characteristics as well as the adoption rate and expenditure on agrochemicals. The findings highlighted the fact that, though a large proportion of farmers in the study area use agrochemicals, the intensity and amount spent to purchase these inputs are quite low. The Tobit regression model was used to identify and quantify the effects of the determinants of farmer's investment in agrochemicals. The results generally indicate that the sex of the farmer, age of the farmer, household size, educational attainment, mean age of cocoa farms, farm size and farmers previous output are all important variables in explaining farmers decision to invest in agrochemicals. The paper concludes by recommending that strategic policies orienting towards improving the adoption rate as well as targeting farmers who are less likely to invest in agrochemicals is a pressing issue.

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Section: Research In Applied Economicssupporting

confidence: 91%

Section: Determinants Of Agrochemical Adoption and Expenditurementioning

confidence: 94%

Modelling Farmers Investment in Agrochemicals: The Experience of Smallholder Cocoa Farmers in Ghana

Danso-Abbeam

Setsoafia²,

Ansah³

2014

RAE

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“…Le niveau d'instruction des producteurs a toujours été présenté comme un facteur assez déterminant dans la diffusion des technologies agricoles Adesina, 2000). Dans cette étude, la variable niveau d'instruction (EDUCAT) n'a pas influencé l'adoption des technologies améliorées.…”

Section: Les Principales Contraintes Entomologiques Du Niébéunclassified

Les déterminants socioéconomiques de l’adoption des technologies améliorées de production du niébé diffusées par les champs écoles paysans dans les régions de Maradi et Zinder au Niger

Rabé¹,

Baoua²,

Adéoti³

et al. 2017

Int. J. Bio. Chem. Sci

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REMERCIEMENTS Cette étude a été réalisée grâce au soutien financier et matériel du Programme de Productivité Agricole en Afrique de l'Ouest (PPAAO) dans le cadre du projet "Augmentation de la production du niébé par la mise en oeuvre des champs écoles paysans" et du projet Leg-Lab Innovation financé par l'US Agency for International Development (USAID) et les opinions exprimées n'engage que les auteurs et ne reflète pas les points de vue du PPAAO et l'USAID. RESUMELe niébé est une denrée de base en Afrique subsaharienne. Le projet champ école paysan en a introduit des nouvelles technologies améliorées afin d'accroître son rendement dans les régions de Maradi et Zinder. Cette étude qui a concerné un échantillon de 300 producteurs a pour dessein d'identifier les contraintes entomologiques de la culture du niébé et de déterminer les facteurs affectant l'adoption des technologies agricoles. Le modèle de régression LOGIT a été utilisé comme outils d'analyse et les principaux résultats suivants ont été obtenus : 1) la punaise brune (Clavigralla tomensicollis Stall) et le puceron (Aphis craccivora Koch) sont les principaux insectes ravageurs de la culture pour 53 à 61% des répondants ; 2) les taux moyens d'adoption par technologie sont de 74,9% pour les variétés améliorées, 57,2% pour les pesticides chimiques, 20% pour la combinaison fumure organique/NPK ; 21.7% pour l'engrais NPK seul, 7,4% pour les biopesticides à base de graines de Neem et 5,7% pour le respect de la densité de semis. Ces ratios sont 2 à 16 fois plus élevés chez les producteurs formés par rapport aux non formés ; 3) les variables « formations par les champs écoles paysans » et « l'accès au crédit » ont influencé positivement l'adoption des variétés améliorées, des biopesticides et des fertilisants ; 4) le genre a été positivement déterminant dans le respect de la densité de semis et l'utilisation des fertilisants ; 5) l'âge des répondants a eu une influence significative dans le respect des écartements entre les poquets. Ces données qui ont permis d'apprécier les niveaux d'utilisation des technologies de développement de la culture du niébé pourraient aussi contribuer à améliorer les programmes de vulgarisation des technologies agricoles en zone rurale. © 2017 International Formulae Group. All rights reserved.Mots clés : adoption, technologies améliorées, niébé, champ écoles paysans, Maradi, Zinder. M. M. RABE et al. / Int. J. Biol. Chem. Sci. 11(2): 744-756, 2017 745 Socio-economic determinants for adoption of improved technologies disseminated through Farmer Field Schools for cowpea production in the regions of Maradi and Zinder in Niger ABSTRACT Cowpea is a staple food in sub-Saharan Africa. The Farmer Field School project introduced new improved technologies to increase cowpea's yield in Maradi and Zinder regions. This study, involved 300 producers, its aim is to identify the entomological constraints of cowpea production and determine the factors affecting the adoption of agricultural technologies. The LOGIT regression model was used as an ...

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“…Heong and Escalada, 1999;Heong et al, 2002), the social context (e.g. Nkamleu and Adesina, 2002), imitation of peers (Schmit and Rounsevell, 2006), attitudes and perceptions (Zubair and Garforth, 2006) and the role of specific contingencies which might influence farmers in an action context, e.g. inadequate risk communication (e.g.…”

Section: Integrative Approachmentioning

confidence: 99%

Towards an improved understanding of farmers' behaviour: The integrative agent-centred (IAC) framework

Feola

Binder

2010

Ecological Economics

119

100

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An effective approach to research on farmers' behaviour is based on: i) an explicit and well motivated behavioural theory; ii) an integrative approach; iii) understanding feedback processes and dynamics. While current approaches may effectively tackle some of them, they often fail to combine them together. The paper presents the integrative agent-centred (IAC) framework, which aims at filling this gap. It functions in accordance with these three pillars and provides a conceptual structure to understand farmers' behaviour in agricultural systems. The IAC framework is agent-centred and supports the understanding of farmers' behavior consistently with the perspective of agricultural systems as complex Social-Ecological Systems. It combines different behavioural drivers, bridges between micro and macro levels, and depicts a potentially varied model of human agency. The use of the framework in practice is illustrated through two studies on pesticide use among smallholders in Colombia. The examples show how the framework can be implemented to derive policy implications to foster a transition towards more sustainable agricultural practices. The paper finally suggests that the framework can support different research designs for the study of agents' behaviour in agricultural and social-ecological systems Feola, G., Binder, C.R., 2010. Towards an improved understanding of farmers' behaviour: The integrative agent-centred (IAC) framework, Ecol. Econ. 69, 2323Econ. 69, -2333

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Determinants of chemical input use in peri-urban lowland systems: bivariate probit analysis in Cameroon

Cited by 112 publications

References 7 publications

Modelling Farmers Investment in Agrochemicals: The Experience of Smallholder Cocoa Farmers in Ghana

Modelling Farmers Investment in Agrochemicals: The Experience of Smallholder Cocoa Farmers in Ghana

Les déterminants socioéconomiques de l’adoption des technologies améliorées de production du niébé diffusées par les champs écoles paysans dans les régions de Maradi et Zinder au Niger

Towards an improved understanding of farmers' behaviour: The integrative agent-centred (IAC) framework

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