نتایج جستجو برای: agricultural credit

تعداد نتایج: 130740  

Journal: :international journal of agricultural management and development 2015
nader barani mohammad hossein menhaj esmaeil ramezanpoor mahmud ahmadpoor borazjani

one of the obstacles that has caused agricultural sector not to reach significant and expected growth is shortage of short, medium and long–term funds to finance various activities of this sector. this study aims at investigating the economic impacts of credits granted by agricultural bank on farmers on hirmand region. the statistical population of the survey included 4691 farmers of hirmand re...

2014
S. H. Baba M. H. Wani S. A. Wani B. A. Zargar

The study has looked into the institutional credit in relation with agricultural productivity in Jammu & Kashmir. The results have revealed that although the credit deployment of scheduled commercial banks (SCBs) to agriculture has increased in absolute terms, its percentage share in the total credit outstanding has declined sharply. The intensity of agricultural credit has also declined over t...

2012
S. GANDHIMATHI

Agriculture plays a crucial role in the development of the Indian economy. It accounts for about 19 percent of GDP and about two thirds of the population is dependent on the sector. (Economic Survey, 2009). Recognizing the importance of agriculture sector in India’s development, the Government and the Reserve Bank of India (RBI) have played a vital role in creating a broad-based institutional f...

Journal: :international journal of agricultural science, research and technology in extension and education systems 2011
a, henri-ukoha j. s, orebiyi j. i, lemchi u. c, ibekwe s. u. o, onyeagocha

the study was designed to investigate the comparative analysis of agricultural credit users and non-users among cassava farmers in ohafia local government area of abia state. a sample of 50 credit users and 50 non-credit user cassava-based farmers were selected by multistage random sampling technique. data were collected with a well structured questionnaire administered to a total of 100 random...

2012
Ron Weber Oliver Musshoff

On the example of a commercial microfinance institution (MFI) in Tanzania this paper investigates first whether agricultural firms have a different probability to get a loan and whether their loans are differently volume rationed than loans to non-agricultural firms. Second, we analyze whether agricultural firms repay their loans with different delinquencies than non-agricultural firms. Our res...

A, Henri-Ukoha G.N, Ben-chendo J. I, Lemchi J. S, Orebiyi S. U. O, Onyeagocha U. C, Ibekwe

The study was designed to investigate the comparative analysis of agricultural credit users and non-users among cassava farmers in Ohafia Local Government Area of Abia State. A sample of 50 credit users and 50 non-credit user cassava-based farmers were selected by multistage random sampling technique. Data were collected with a well structured questionnaire administered to a total of 100 random...

2004
Jill M. Phillips

This study examines credit score migration rates of farm businesses. We test whether migration probabilities differ across business cycles. Our results suggest that agricultural credit ratings are more likely to improve during expansions and deteriorate during recessions. We also test whether agricultural credit ratings depend on the previous period migration trends. Our results show that credi...

Journal: :Journal of the Royal Statistical Society 1896

This study is on the determinants of credit access by small scale farmers in Dekina Local Government Area of Kogi State, Nigeria. The specific objectives are to; identify the major source of credit among the small scale farmers; estimate the determinants of farmers’ access to formal credit; compare the farm income of farmers who have access to formal credit and those who have not and identify c...

This study was undertaken to investigate the impact of microfinance on agricultural productivity by smallholder farmers in Makurdi Metropolis of Benue State, Nigeria. Data were randomly collected from 120 farmers consisting of 60 credit beneficiaries (CB) and 60 non-credit beneficiaries (NCB) by which were analyzed through descriptive statistics and multiple regression analysis. The results of ...

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