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2013, Econometric Modeling: Agriculture
This study aims to study impact of socio-economic characteristics of farmers on access to agricultural credit in Pakistan. Data have been collected using a structured questionnaire from a sample of 80 beneficiaries of formal agricultural credit from the district Swabi of Khyber Pahktunkhwa province. Amount of credit borrowed by the farmers is used as dependent variable whereas, the independent variables are different socio-economic characteristics of the borrowers of the agricultural credit including age, marital status, education, number of dependents, other occupations, farm size, farm status, tenancy status, farming experience, income from farming, and income from other occupations. The dependent variable is a categorical variable; therefore the Ordered Logit Model has been used for analysis of data. Findings suggest that the amount of agricultural credit that can be borrowed by the farmers is significantly affected by their marital status, farm status, farm size, and education l...
Journal of South Asian Studies
The agricultural credit has a significant impact on agricultural productivity. Credit constraints should be reasonably minimized so that small farmer can easily get loans. This study investigates the determinants of utilization of agricultural credit among small farm holders in southern Punjab, Pakistan. A total sample of 200 small farmers is selected for data collection. An appropriate pretested questionnaire was used for data collection. The data collection was done by tanking direct interviews by using a convenient sampling technique. District Multan was selected from the southern Punjab of Pakistan. A binary logit model was used to examine the effect of various factors on the adoption of agricultural credit utilization among small farm holders. The binary logit model's results showed that the variables of farmers' qualification, farming experience, family members, agricultural income, and tenant cum owner positively and significantly impact agricultural credit utilizatio...
Agriculture, 2020
This study investigates the factors that affect farmers’ access to agricultural credit and its role in adopting improved agricultural technologies in the rain-fed zone of Khyber Pakhtunkhwa (KP), Pakistan. Using logistic models, we assess and compare the relative role of farmers’ socioeconomic attributes in their access to credit and adoption strategies. The results indicate a moderate positive association between farmers’ access to agricultural credit and their adoption of improved agricultural technologies. The binary logit model’s results indicate that farmers with a large-sized farm, high farm income, better access to information, and large physical asset ownership showed a positive influence on credit access. However, farming experience showed a negative effect on farmers’ access to agricultural credit. Regarding farmers’ credit sources, this study found that asset-rich farmers with more farming experience and better access to information relied more on banks than on input prov...
Original Article , 2016
Ensuring farmers’ access to agricultural credit market has been prioritized in agriculture finance policies of Pakistan. The main objectives of this study are to explore farmers’ access to different formal and informal credit sources, and to investigate their credit adequacy and the role of important socio-economic factors in access to credit. The data were collected from 87 farming households in Mardan Tehsil of Mardan District. Questionnaire was the main tool used to collect the data from farmers. The credit access ratio formula was employed that measured farmers’ access, in relative terms, to their landholdings. Likewise, credit adequacy formula was used to investigate farmers’ credit adequacy. A probit model was employed to find the important factors affecting access to credit. Results of access to credit ratio showed that small farmers had lower credit access to formal sources compared to medium and large farmers, whereas they had more access to informal sources. Similarly, small farmers have more credit inadequacy compared to medium and large farmers, and most of their credit gap was filled by informal sources. Probit model results showed that experience, education, landholding size and total income had positive relationship with access to credit whereas, age and farmers’ group had negative association with access to credit. Our findings suggest that there is a need to revamp the policy to address the interests of small landholders, particularly those who possess land less than 5 acres because they had limited access to formal sources of credit.
Agriculture is not only the backbone of our food, livelihood and ecological security system, but is also the very soul of our sovereignty. In Pakistan population density is high and has been increasing day by day and agricultural land has been decreasing because of fragmenting or converting it into residential plots. To meet the domestic food requirements and raising standard of life use of improved production technologies developed by research is must. In this behalf government of Pakistan has been extending loan to poor farmers for adoption of new farm technology; a capital intensive technology. Right adoption of new farm technology depends on different demographic factors of farmers. Therefore objective of the paper was to see who benefits more of credit. Primary data regarding different determinants effecting well being of farmers after use of credit was collected from 320 farmers who participated in credit using stratified sampling technique through structured questionnaire. Descriptive statistics, ANOVA and Linear regression model was applied with the help of SPSS. Education and visiting agriculture information centre were found significant suggesting younger more educated farmers who visits information centre be provided credit ,as they had ability to improve their standard.
Agriculture is not only the backbone of our food, livelihood and ecological security system, but is also the very soul of our sovereignty. In Pakistan population density is high and has been increasing day by day and agricultural land has been decreasing because of fragmenting or converting it into residential plots. To meet the domestic food requirements and raising standard of life use of improved production technologies developed by research is must. In this behalf government of Pakistan has been extending loan to poor farmers for adoption of new farm technology; a capital intensive technology. Right adoption of new farm technology depends on different demographic factors of farmers. Therefore objective of the paper was to see who benefits more of credit. Primary data regarding different determinants effecting well being of farmers after use of credit was collected from 320 farmers who participated in credit using stratified sampling technique through structured questionnaire. Descriptive statistics, ANOVA and Linear regression model was applied with the help of SPSS. Education and visiting agriculture information centre were found significant suggesting younger more educated farmers who visits information centre be provided credit ,as they had ability to improve their standard.
pjlss.edu.pk
Agriculture sector is the single largest contributor to the national income (GDP) contributing nearly 21 percent to the GDP and provides employment to nearly 43 percent of the workforce and supplies raw material to the industrial sector (notably textile industry) of Pakistan. Credit is an important tool for getting the inputs in time increasing thereby the productivity of the farms particularly those of small ones. The current study was designed to investigate the problems faced by the farmers while getting the loan. It was found that the small farmers faced a lot of problems in getting and returning the loan which must be removed to get better results and hence improving the quality and quantity of the agricultural products.
Cogent Food & Agriculture
Agriculture sector is back bone of agrarian economies and it is the primary source of food in these economies like Pakistan. Current situation of Pakistan's economy highlighted that agriculture sector contributes the 19.8% share to GDP and provides 42.3% of the total work force. There is a lot of empirical work which focus on consistent expansion of agriculture output. Food production in agricultural economy require bundle of resources but credit is one of the factor which help in risk aversion and risk Management. The one of the major problem faced by the farmers is the shortage of credit availability. Therefore, this study has been devised to observe the impact of institutional and non-institutional agricultural credit on the level of food security in the districts of Punjab province of Pakistan. In this regard multiple linear regression models are rendered to quantify the relationship between food security (i.e. Food Insecure Population, Food Availability, Food Access and Food Absorption) and Agricultural Credit (i.e. Overall Agricultural Credit, Institutional Agricultural Credit and Non-Institutional Agricultural Credit). The study find that Institutional Agricultural Credit is significantly helping in combating food insecurity while Non-Institutional Agricultural Credit shows unexpected results. Therefore it is strongly recommended to cates institutional credit to reduce food insecurity issues in the country.
aup.edu.pk
The review was conducted in December, 2009 in Pakistan. The aim of the review was that to examine 25 agriculture credit studies impacts in rural area of Pakistan; i) to observe the short fall and success in the field ii) to study the monitoring cell of the ...
Polymer, 2003
Both informal and formal loans matter in agriculture. However, formal lenders provide many more production loans than informal lenders, often at a cost (mostly loan default cost) higher than what they can recover. For example, the Agricultural Development Bank of Pakistan (ADBP), providing about 90% of formal loans in rural areas, incurs high loan default costs. Yet, like other governments, the Government of Pakistan supports the formal scheme on the grounds that lending to agriculture is a high risk activity because of covariate risk. Hence, such policies are often based on a market failure argument. As farm credit schemes are subsidised, policy makers must know if these schemes are worth supporting. Using a recent large household survey data from rural Pakistan (Rural Financial Market Studies or RFMS), we have attempted to estimate the effectiveness of the ADBP as a credit delivery institution. A two-stage method that takes the endogeneity of borrowing into account is used to estimate credit impact. Results reveal that ADBP contributes to household welfare and that its impact is higher for smallholders than for large holders. Nevertheless, large holders receive the bulk of ADBP finance. The ADBP is, thus, not a cost-effective institution in delivering rural finance. Its cost-effectiveness can be improved by reducing its loan default cost and partially by targeting smallholders in agriculture where credit yields better results.
This study was designed under the project "Enhancing Food Security and Resilience of Small Farmers in Sindh and Baluchistan provinces of Pakistan" with the support European Commission and Oxfam GB to review the issues faced by the small growers in accessing credit from the formal sources of credit. The overall objective of the study was to analyze the current situation of the small farmers and difficulties they face in accessing credit; particularly women headed and managed households in project areas of district Dadu, Sanghar and Musakheal. The specific objectives were: • To review the existing agriculture credit in Pakistan and its importance in the growth of agriculture sector (Credit Policy review and Role of Agriculture Credit Advisory committee etc) • To review and analyze the agricultural credit policies in Pakistan and its impact on small farmers • State bank role in agricultural credit and how has been improved so far in Pakistan • To review and assess agriculture credit schemes of different banks /institutes in Sindh and Baluchistan • To study problems/issues related to agriculture credit schemes in Pakistan specifically in Sindh and Baluchistan • To suggest solutions /reforms for improving the agriculture credit system and mechanism in Pakistan
The government of Pakistan introduced several agricultural credit programmes through institutional sources. The impact of these programmes was less than optimal due to rambling credit policies. The farmers were facing many constraints to avail agricultural credit in a timely fashion. The collateral inter alia was one of the major constraints. The objective of the paper is to identify constraints and suggest remedial measures to make efficient use of agricultural credit schemes. Majority of the farmers revealed that they could not avail credit because of needed collateral. The hard hits were tenants and share croppers who do not own land, and thus were unavailable to avail credit. The high mark up both from formal and informal sources was another constraint. The borrowing behavior of the respondents was estimated through the logit model and identified the determinants of credit constraints. The results showed that the coefficients of transitory income, education level, and predicted interest rate have important bearing on borrowing behavior. The household consumption expenditure was positively and significantly determined by operational holding and value of implements
Agriculture is not only the backbone of our food, livelihood and ecological security system, but is also the very soul of our sovereignty. In Pakistan population density is high and has been increasing day by day and agricultural land has been decreasing because of fragmenting or converting it into residential plots. To meet the domestic food requirements and raising standard of life use of improved production technologies developed by research is must. In this behalf government of Pakistan has been extending loan to poor farmers for adoption of new farm technology; a capital intensive technology. Right adoption of new farm technology depends on different demographic factors of farmers. Therefore objective of the paper was to see who benefits more of credit. Primary data regarding different determinants effecting well being of farmers after use of credit was collected from 320 farmers who participated in credit using stratified sampling technique through structured questionnaire. Descriptive statistics, ANOVA and Linear regression model was applied with the help of SPSS. Education and visiting agriculture information centre were found significant suggesting younger more educated farmers who visits information centre be provided credit ,as they had ability to improve their standard.
Journal of Asian Business and Economic Studies
PurposeIn the developing countries, formal credit has dominant role for the development of agriculture sector. It increases the farmer's purchasing power for better farm inputs and agricultural technology for high crop productivity. The main purpose of this study is to examine the influence of socioeconomic characteristics of smallholder farmers for credit demand in Sindh, Pakistan.Design/methodology/approachA cross-sectional data set randomly collected from 90 smallholder farmers in Thatta district, Sindh, Pakistan, is examined. Descriptive statistics, correlation and the OLS regression method were used to demonstrate the important factors affecting the demand for formal credit.FindingsThe results revealed that formal education, experience of farming, landholding size, road access and extension contacts positively and significantly influenced the demand for formal credit.Originality/valueThis study is the first, to the best of authors' knowledge, to demonstrate the influenc...
2015
Access to credit generally refers to the possibility of individuals or an enterprise to access financial services from the formal sources or carrying capacity of loans from financial institutions. Accessibility is determined by the demand of clients with existing supply of credit from different banks. This study tries to find those factors which are responsible to access agricultural credit from banks by the small and marginal farmers. The age, gender, level of education, family size, landholdings, irrigation facilities, income level, marital status and occupation are considered as determinants of access to agricultural credit. Out of these variables landholdings, educational status, irrigation facilities, income level and gender are found to be the significant factors in determining the agricultural credit access of the small and marginal farmers from the banks. It was concluded that policies needs to be redirected on government-sponsored and guaranteed agricultural financing schem...
Asian journal of advances in agricultural research, 2024
The study aimed at investigating constraints in access to institutional agricultural credit and pattern of utilization of the credit obtained by the farmers in the state of Odisha. With the application of multi stage random sampling technique, 175 farmers are selected for the analysis of the study. Descriptive statistics, Credit Adequacy Ratio have been employed in the study to identify the constraints in accessibility of credit for different groups of farmers. An index used by Lalhunthara & NVR is employed in the study to find out major difficulties faced by the farmers. Descriptive statistics, correlation and regression technique have been incorporated in the study to examine the credit utilization pattern and its relationship with other farm related socio-economic variables. The study found that credit gap is high for landless and marginal farmers while smaller for large
The study was conducted in Rajshahi, Jamalpur and Rangpur district to identify the constraints to access credit and its impact on farm household. A total 180 farmers of which 30 credit users and 30 credit nonusers from eachdistrictswere selected. The study revealed that highly responded constraints for bank credit were cumbersome procedure (83%), late disbursement of credit (62%), requirement of adequate collateral (61%). High interest rate, short term and small amount of credit were highly responded constraints for credit from NGOs and local moneylenders. The impact of facing these constrains of access to credit createdlot of troubles to get credit such as hamper in agricultural activities (59%), increase cost of credit, and sell agricultural crops at low price to manage the money of every installment. Level of education, having off farm income, membership of any institution andfarmers' knowledge level about credit were significant determinants to increase probability of access to credit. Access to credit may increase if the NGOs reduce their interest rate of credit. Access to credit from formal institution may increase through improving credit disburse system for hassle free quick, and timely sanction of credit.
Journal of Rural Development, 2022
The study has attempted to examine the determinants of formal agricultural credit in rural Uttar Pradesh using National Sample Survey Organisation data from the 70th round (2012-13). The Binary Logistic Regression (BLR) model is used to examine the determinants of formal credit in Uttar Pradesh. Socioeconomic and demographic characteristics such as age, gender, social group, and family size are grouped into social, economic, and extension services. The findings from this study revealed that indebtedness exists and that almost 45 per cent of farmers have taken credit from informal credit agencies. Further, there is significant heterogeneity in terms of socioeconomic and demographic features among farmers who have taken credit from formal and informal credit agencies. The BLR results show that gender, literacy rate, operated area, bank account, livestock, and Kisan Credit Card are key social and economic determinants of formal credit in rural Uttar Pradesh. The calculated odds ratio shows a 2.008 times higher probability of literate male farmers taking a loan from formal credit than others. Likewise, there is a 3.10 times higher probability of taking formal credit if farmers follow technical advice provided by agricultural universities, NGOs, and scientists through open-source platforms. Hence, the following policies are suggested to deal with indebtedness: (i) Policymakers can choose to intervene in the rural credit lending system by liberalising policy to more accurately reflect the characteristics of potential borrowers and in light of their current borrowing strategies, (ii) the BLR results depict a positive relationship with land size, and agricultural households with larger land seem to get more benefits. Therefore, the government should focus on marginal and small farmers, who have larger shares in the total operational landholdings, (iii) safety net programmes like the Public Distribution System (ration cards), in the presence of formal credit, may induce farmers and their families to increase their per capita monthly consumption expenditures, and (vi) State intervention is also required in terms of increasing the size of livestock, as this can be an area where Uttar Pradesh can lead the other States as this will help in diversification in the field of agriculture .
2008
The study analyzed the constraints faced by the farmers to rural credit by utilizing two household level data sets. The first survey Pakistan Rural Household Survey (PRHS) 2001 was utilized to study the purpose, source structure and utilization of rural credit and; ...
Zimbabwe Agricultural Journal, 2018
One of the most crucial and leading factors constraining smallholder farmers' development in developing countries like Zimbabwe is limited access to financial capital and credit especially from the formal lending institutions. This is because on one hand, these farmers fail to fulfil the formal institutions' lending requirements and on the other, the banking sector considers these farmers as highly risky. This study is conducted with the aim of identifying the major factors affecting access to formal credit by smallholder farmers with particular reference to Chivi district. The data for the study was collected from farmers in the district. It was collected from randomly selected six wards in the district through questionnaires. The estimation result employing the logit model reveals that staying closer to formal financial institutions, education, age, the square of age and sex are important factors which determine access to formal credit in the district. However, income was a statistically insignificant variable. The result leads to the suggestion that, policies designed to empower women so as to enable them to access formal credit should be implemented. There is also need to improve educational standards and increase the number of financial institutions in Chivi.
This study investigated the factors affecting credit accessibility in Owerri agricultural zone of Imo state. Multi-stage sampling technique was used for sample selection. Data were collected with the use of structured and validated questionnaire from 7 purposively selected institutionalized credit sources and 60 randomly selected credit beneficiaries, comprising 20 farmers from each of the 3 purposively selected LGAs in the study area. Data were analyzed with descriptive statistics and Multinomial Logistic Regression (MLR). The result showed that (78%) of the farmers were in their active working age (40years) and majority (92%) of them were married; with a mean family size of 8 persons. This study has identified interest rate, lack of collateral and guarantor as major factors that negatively affected credit accessibility in the study area. The study recommended that the farmers should take advantage of the various credit facilitates offered by institutionalized sources in order to expand their production. The institutionalized credit sources should also put in place a comprehensive credit risk management process to identify, measure, monitor/control credit risk and where appropriate, hold capital against these risks in order to reduce risk of delinquencies and defaults.
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