Institutional Credit Lending Policies and the Efficiency of Resource Use Among Small-Scale Farmers in Kenya (Studien Zur Landlichen Entwicklung, No 4) Rosemary Atieno - kelloggchurch.org

Institutional credit lending policies and the efficiency.

An analysis was made of the role of institutional credit lending policies in determining the efficiency of resource use by small-scale farmers in Rift Valley, Kenya. Cross-sectional farm-level data from Nakuru district were used. The main hypothesis tested was that the role of agricultural credit in increasing the production and farm incomes of small farmers depends on the appropriateness of.

Atieno, R. 1994.Institution Credit Lending Policies and. The Efficiency of Resource use among Small. Scale Farmers in Kenya. Studien Zur Landlichen. Entwicklung.</plaintext> The main objective of the study was to assess relationship between credit facilities and agricultural production of small-scale farmers in Eldoret East Constituency of Kenya. In order to achieve the purpose of this study, three specific research. lending in rural areas, particularly for farmers who cannot obtain loans elsewhere. Federal farm loan programs also target credit to beginning farmers and socially disadvantaged groups. The primary federal lender to farmers, though with a small share of the market, is the Farm Service Agency FSA in the U.S. Department of Agriculture USDA.</p> <p>Credit Analysis and Lending Management is a new Australasian text that focuses on the core lending functions of financial institutions, covering asset management, credit risk assessment and analysis, lending policy formulation and management, and the rise of new product development and marketing in the financial services sector. Full Length Research Paper Challenges of small scale farmers access to micro credit Bada Kaka in Gassol LGA, Taraba State, Nigeria Oruonye E. D.1 and Musa Y. N.2 1Department of Geography, Taraba State University, P.M.B. 1167, Jalingo, Taraba State, Nigeria. 2 Department of Agronomy, Taraba State University, P.M.B. 1167, Jalingo, Taraba State, Nigeria.</p> <p>Mar 12, 2018 · Agricultural lending remains a frontier area even as the alternative lending space fills up with new players. Here are some early insights from CGAP's work on alternative credit scoring for smallholder farmers in Uganda. loan loss risk in agricultural lending. Small farmers rarely possess land titles which can be used as loan collateral by banks. Land is the most accepted asset for use as loan collateral, because it cannot be removed but can generally be transferred at a specific market price. Small farmers’ land, however, may have a very limited value. Aug 05, 2019 · The U.S. economic expansion hit a record-breaking 10 years and one month at the end of June 2019, and consumer sentiment hit a 15-year high in May. For credit unions, the lending machine is going strong. Loan balances in the first quarter increased $77.6 billion year-over-year. Loan growth, however, slowed from 9.7% in the first quarter of 2018 to 7.9% in the same three months this year.</p> <p>Hence, credit agencies attempt to prevent loan delinquency and default because if the loan is not paid, the lender’s capital is lost and the institution will no longer be sustainable. IDAMA, Asongo A.I., and Ngutor N.,2014 argued that, credit risk is client’s failure to meet the terms of a loan contract. An effective and sound. Accessibility of Rural Credit Among Small Farmers in the Philippines. and increasing the business skills of small farmers. In the Philippines, small-scale and subsistence agriculture source their loans. 2.6.2.2 Current Policies and Programs... 33. Vol.6, No.9, 2015 192 Effect of Credit Management on Firm Profitability: Evidence Savings and Credit Co-Operatives in Kenya Samoei Richard Kipkoech PhD Student Jomo Kenyatta University of Agriculture and Technology, Kenya,P.O. BOX 4842-30100 Eldoret, Kenya. Access to credit by small-scale farmers is still a challenge despite Kenya having a relatively well developed banking system [2]. In Kenya, Small scale farming provides the larger population living under the poverty line with subsistent source of food. Despite the large number of banks, there exists.</p> <p>Understanding the factors that affect a farmer’s credit source is useful for lending institutions to more effectively target customers and provides insight into credit sources that would be affected sooner if a credit crisis would occur and the characteristics that are correlated with a customer using a particular lending institution. Results of this paper suggest that the customers of. A bank unit is set up with a Field Manager and a number of bank workers, covering an area of about 15 to 22 villages. The manager and workers start by visiting villages to familiarize themselves with the local milieu in which they will be operating and identify prospective clientele, as well as explain the purpose, functions, and mode of operation of the bank to the local population. existed for some time on the use and implementation of credit scoring models.2 The guidance notes how fair lending compliance risk can arise if scoring models are not properly developed, tested, implemented, managed, and monitored. Conceptually, the potential fair lending risks associated with credit scoring models are clear. However.</p> <h2>Full Length Research Paper Challenges of small scale.</h2> <p>Vol.4, No.4, pp.1-12, May 2016 ___Published by European Centre for Research Training and Development UK 3 ISSN: 2052-6393Print, ISSN: 2052-6407Online enterprise is in use of resources in achieving its objectives. Hitt et al., 1996 believes that many firms' low performance is the result of poorly performing assets. 1999, p. 8, and few NGO MFIs are engaged in crop lending Coffey E, 1998. MFIs. • The main farm-related use of micro-finance loans is for small-scale trade, processing and livestock. traditional formal institutional credit, because of the high transaction costs which have.</p> <h3>5 Insights into Credit Scoring for Smallholders.</h3> <p>Federal lending is an important, but unrecognized feature of modern credit markets. This paper analyzes the effects of credit interventions on credit allocation and economic efficiency. The underlying model posits asymmetric information between borrowers and lenders, and allows for market clearing, rationed, or redlined equilibria. Ghorbani 1997 believes that because of high transaction costs and interest rate, efficiency of formal credit payment to farmers in Mazandaran Province of Iran is low. Chizari and Zare 2000 showed the effect of credit on agricultural production is positive and significant. borrowers is due to use of credit and pre-existing inherent characteristics of small-scale farmers. The mean difference was 40 percent of which 2 percent is due to credit. The credit can increase the output up to 21 percent. The major constraint to the farmers is to access an affordable credit which can affect the output capacity and level. The Farm Credit System FCS is a nationwide financial cooperative lending to agricultural and aquatic producers, rural homeowners, and certain agriculture-related businesses and cooperatives. Established in 1916, this government-sponsored enterprise GSE has a statutory mandate to serve agriculture. 4 However, credit-scoring may also force the CDFI to drift away from its mission clientele if the mission borrowers are not deemed as credit-worthy.3 CDFIs use non-traditional financial instruments and cater to a different type of clientele compared to traditional banking institutions, which do not face these mission borrower requirements.</p> <p>farmers’ perception of Lending procedures, lack of opportunity to take a second loan, and membership of farmer’s multipurpose cooperatives were important factors influencing formal credit use of smallholder farmers. Therefore, policy aimed to accelerate agricultural development in the area could be. Lending cover AFR no. 4 16-12-1999 11:09 Pagina 1 1,1. Getting the Policies Right 3. Better Practices in Agricultural Lending 4. Sources of Funds for Agricultural Lending. especially small-scale farmers in developing countries. The document focuses mainly on for mal and semi - formal financial institutions. Only these actors ar e faced.</p> <p>• Extension/renewal of existing credit with no change in market conditions affecting property, no significant change in property, no new money except closing costs. • Rate and Payment modifications, short term extensions, terms or amortization with no new money, no change in borrower/guarantor obligation, no changes in collateral protection. 115. Micro credit was found to have a positive and the significant impact on the technical efficiency. Ayaz et al., 2011 found the efficiency scores of the different farmers in district Faisalabad using the Data Envelopment Analysis technique. Mean efficiency of the over all farmers. • Interagency Expanded Guidance for Subprime Lending Programs January 2001. • Account Management and Loss Allowance Guidance for Credit Card Lending AMG January 2003. The Interagency ALLL Policy requires that banks maintain an allowance at a level that is adequate to absorb estimated credit losses. It references FAS 5 and provides.</p><img 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