Factors influencing adoption of land-enhancing technology in the Sahel: lessons from a case study in Niger

Baidu‐Forson, J.

doi:10.1016/s0169-5150(99)00009-2

Cited by 128 publications

(67 citation statements)

References 19 publications

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“…It measures the parameters of the conditional probability of having access to required funds and the effects of the marginal changes in explaining variables on the micro finance status of the poultry farms. Following from McDonald and Moffit (1980) as adapted by Adesina and Baidu-Forson, [1995], and Baidu-Forson, (1999), the model is expressed as; Eleven (11) of the 225 poultry farms sampled for the study were not analyzed due to incomplete information and/or non response. Therefore only 214 samples were properly analyzed.…”

Section: Methodsmentioning

confidence: 99%

Effect of micro-finance on small scale poultry business in South Western Nigeria

Akanni

2007

Emir. J. Food Agric

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Abstract:In the South Western region of Nigeria many small scale poultry farmers complain of limited access to funds. This is often linked with their low level of farm income and insufficient collateral securities. There is therefore low productivity in the sub sector. The resultant effect of this is the attendant decline in the quality and quantity of the poultry produce people now consume. These operators were selected through multi stage sampling technique. Both descriptive statistics and the Tobit regression model were used for the analysis of data. Only 76% of the farmers were up to 60 years of age while 69.64% had up to secondary school education. Average period of poultry experience was 8.06 years while the average farm household size was 12 members. 61% of these farmers sourced their funds from personal savings while 20 % used loans from co-operative societies. The sigma square (σ 2 ) value of 0.5448 indicated a good fit for the model and a normal distribution of the error term. Level of education, years of experience in poultry keeping and number of poultry birds were positively significant variables. Intensity of funding was highest for input usage (0.1318) and least for experience (0.0013).As a policy measure, issues relating to education, years of experience, lending rates and size of poultry farms needed some attention. This was necessary to ensure a higher fund security index (FSI) for small-scale industry. Keywords

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Section: Methodsmentioning

confidence: 99%

Effect of micro-finance on small scale poultry business in South Western Nigeria

Akanni

2007

Emir. J. Food Agric

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“…Assume that there is a perceived utility ( ) for paying for improved waste management services, and, a utility (0) for not paying for improved waste management services, Further assume that there is a cluster of the population with no decision to make at the limit [10][11][12]14], then = 0 if * ≤ 0 for not paying for improved waste management services, = 1 if * > 0 for paying for improved waste management services, where * is the unobserved latent variable or the threshold which is observed only when or the amount of money households are willing to pay is positive. The expected value of the amount of money they are willing to pay for improved waste management services is given as follows:…”

Section: The Theoretical and Analyticalmentioning

confidence: 99%

Urban Households' Willingness to Pay for Improved Solid Waste Disposal Services in Kumasi Metropolis, Ghana

Awunyo‐Vitor

Ishak

Jasaw

2013

Urban Studies Research

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Solid waste management within Kumasi Metropolitan Assembly area continues to be a major challenge for the municipal assembly and one of the key issues is its financial constraints. This study was undertaken to examine households' willingness to pay for improved solid waste management services. A multistage sampling technique was employed to select six hundred respondents for the study. Logistic regression model was used to establish the determinants of willingness to pay for solid waste management whilst the Tobit model was used to evaluate the factors influencing the amount of money the households are willing to pay for improved solid waste management. The logistic model shows that income, age, number of children, quantity of waste generated, and education have significant effects on the willingness to pay, while the amount of money the households are willing to pay was influenced by their income, quantity of waste generated, education, house ownership, and number of children. Thus, the assembly can increase waste collection fees between GHC 3 and GHC 5.00. This would lead to improvement in the waste management within the metropolis. However, the additional charge should take into consideration location and income levels.

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“…Risk has been considered a major factor that determines the rate of adoption of new technology (Feder et al 1985;Kebede et al 1990;Baidu-Forson 1999;Ghadim and Pannell 1999;Marra et al 2003). New technology in most cases involves risks, as crop yields are more uncertain with an unfamiliar technology.…”

Section: Risk Perception and Risk Attitudementioning

confidence: 99%

A typology of farm households for the Umutara Province in Rwanda

et al. 2009

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For nearly 30 years, technologies for more sustainable land use have been developed and promoted in Rwanda. However, these technologies have not been fully adopted. Keeping in mind that the farming population is not homogeneous with respect to socioeconomic variables, this paper typifies farm households in Umutara province based on socio-economic factors influencing the adoption of new technology. A multivariate analysis approach that combines Principal Component Analysis and Cluster Analysis allowed us to identify clearly five types of farm households and their socio-economic characteristics. The main differences between the five farm types relate to gender, age, education, risk perception, risk attitude, labour availability, land tenure and income. The five farm types are characterized by respectively having a female head (26% of the farms), being a tenant (7%), having a male and literate head (32%), having an illiterate head with no off-farm activities (18%), and being a large farm with livestock (17%). The respective farm types appeared to have adopted different types of sustainable technologies to a limited extent. Female-headed households adopted the use of compost and green manure. Young male literate farmers were the only ones using chemical fertilizers. Illiterate and full-time farmers applied fallow, manure and erosion control measures to maintain soil fertility. The use of improved livestock is adopted by large farms.

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Factors influencing adoption of land-enhancing technology in the Sahel: lessons from a case study in Niger

Cited by 128 publications

References 19 publications

Effect of micro-finance on small scale poultry business in South Western Nigeria

Effect of micro-finance on small scale poultry business in South Western Nigeria

Urban Households' Willingness to Pay for Improved Solid Waste Disposal Services in Kumasi Metropolis, Ghana

A typology of farm households for the Umutara Province in Rwanda

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