Impact of Farm Credit on Farmers Socio-economic Status in Ogun State Nigeria

Bolarinwa, K. K.; Fakoya, E. O.

doi:10.1080/09718923.2011.11892883

Cited by 21 publications

(12 citation statements)

References 4 publications

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“…Low access to credit adversely affects productivity because it leads to low capital investment. This result confirms the finding of Bolarinwa and Fakoya (2011) in their study of the impact of farm credit on farmers' socio-economic status in Ogun State, Nigeria, that only 37.6% of the farmers secured loan from commercial banks and Nigeria Agricultural and Rural Development Bank. Although, relative advantage (x̄=2.5) was the first major determinant of adoption for Benue State farmers, it was the second most important (x̄=2.84) factor for Taraba State implying that, respondents have actually appreciated electronic wallet system as been better than the previous technologies/ programmes employed for the distribution of farm inputs in the two states.…”

Section: Access To Creditsupporting

confidence: 88%

Comparative assessment of adoption determinants of electronic wallet system by rice farmers in Benue and Taraba States, Nigeria

Gyata¹

2018

Food Res.

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The Federal Government of Nigeria introduced the electronic wallet system in 2013, to help deliver government subsidized farm inputs directly to farmers. A survey was, therefore, conducted to compare adoption determinants of electronic wallet system by rice farmers in Benue and Taraba States, Nigeria. Both descriptive and inferential statistics were used for data analysis. The results showed among others, that some (36%) of the respondents had at most a secondary education. Whereas 40% of the respondents realized an average of less than N100,000.00 per annum from their rice farm, 67% of the respondents did not have extension contact and only 30% had access to credit. Also, the relative advantage (x̄=2.5) and relevant content (x̄=2.43) were the most important determinants of adoption of elan ectronic wallet system in Benue State. In Taraba State, observability (x̄=2.88) and relative advantage (x̄=2.84) were the most important factors that determined adoption of electronic wallet system. On constraints affecting adoption of e-wallet system, Epileptic network, EPEP (0.589*), Lack of power supply, LOPS (0.723*), Distance to the registration centre, DRC (0.722*), Long queues at the registration centre, LQARC (0.725*), Distance to the redemption centre, DREC (0.745*), Insufficient fertilizer supply, IFS (0.697*), Insufficient seed supply, ISS (0.617*), Low quality fertilizer supply, LQFS (0.870*), Low quality seed supply, LQSS (0.540*), Untimely inputs delivery, UID (0.783*), Poor Policy Implementation, POPI (0.632*), High cost of mobile phone/accessories, HCMA (0.858**), High cost of air time, HCOAT (0.889**), Lack of skills and knowledge in use of GSM, LOSK (0.699**) and Lack of transport facilities for collection, LOTF (0.469**) were significant constraints that affected the adoption of electronic wallet system. The study concluded that there was a significant difference between respondents in Benue State and their counterparts in Taraba State. It is recommended that Government should step up efforts at ensuring that farm inputs are distributed on time.

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Section: Access To Creditsupporting

confidence: 88%

Comparative assessment of adoption determinants of electronic wallet system by rice farmers in Benue and Taraba States, Nigeria

Gyata¹

2018

Food Res.

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“…Moreover, the variable credit has the highest coefficient value: showing the importance of agricultural credit to farmers. In Nigeria, [9] classified farmers into beneficiaries and nonbeneficiaries to understand how the lack of capital affects their productivity. The capital here is the provision of credit or not.…”

Section: Literature Reviewmentioning

confidence: 99%

Rural Credit and Farms Efficiency: Modelling Farmers Credit Allocation Decisions, Evidences from Benin

Sossou

Noma

Yabi

2014

Economics Research International

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This paper analyses farmers’ credit allocation behaviors and their effects on technical efficiency. Data were collected from 476 farmers using the multistage sampling procedure. The stochastic frontier truncated-normal with conditional mean model is used to assess allocation schemes effects on technical efficiency. Tobit model reveals the impact of farmers’ sociodemographic characteristics on efficiency scores. Results reveal that farm revenue (about 2,262,566 Fcfa on average) is positively correlated with land acreage, quantity of labour, and costs of fertilizers and insecticides. Farmers’ behaviors respond to six schemes which are categorized in two allocations contexts: out-farm and in-farm allocations. The model shows that only scheme (e) positively impacts technical efficiency. This scheme refers to the decision to invest credit to purchase better quality of pesticides, herbicides, fertilizers, and so forth. The positive effect of the scheme (c) may be significant under conditions of farmers’ education level improvement. Then, scheme (e) is a better investment for all farmers, but effect of credit allocation to buy agricultural materials is positive only for educated farmers. Efficiency scores are reduced by household size and gender of the household head. Therefore a household with more than 10 members and a woman as head is likely to not be technically efficient.

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“…The study employed logit and multiple regression models and showed that amount of credit had a significant direct relationship with poultry productivity. Still, in the Southwest, Bolarinwa and Fakoya (2011) compared the agricultural output recorded by credit beneficiaries and non-credit beneficiaries in Nigeria. The findings from the study show inadequate provision of credit from formal credit institutions with about 40% of beneficiaries securing loan from formal credit institutions, and 60% from informal credit institutions.…”

Section: Literature Reviewmentioning

confidence: 99%

Access to credit for rice farmers and its impact on productivity: the case of Ebonyi State, Nigeria

2022

Stud. Agr. Econ.

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This study examines the impact of access to bank and non-bank credit on rice productivity and output. It employed the coarsened exact matching (CEM) model and qualitative methods for primary data on a purposive sample of 450 rice farmers across three Local Government Areas of Ebonyi State, Nigeria. Pre-matching results suggest that access to non-bank credit and access to total credit significantly affected labour productivity and output, while access to bank credit significantly affected output. However, the post-matching results show that access to all three categories of credit has no significant effect on either output or capital, labour, and total factor productivity. This study therefore recommends that for an improved production and productivity yield among rice farmers in the state, policies should focus on the issues of improved quality of education and constraints in accessing loans/credits.

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Impact of Farm Credit on Farmers Socio-economic Status in Ogun State Nigeria

Cited by 21 publications

References 4 publications

Comparative assessment of adoption determinants of electronic wallet system by rice farmers in Benue and Taraba States, Nigeria

Comparative assessment of adoption determinants of electronic wallet system by rice farmers in Benue and Taraba States, Nigeria

Rural Credit and Farms Efficiency: Modelling Farmers Credit Allocation Decisions, Evidences from Benin

Access to credit for rice farmers and its impact on productivity: the case of Ebonyi State, Nigeria

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