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Determinants of credit access of cocoa farmers
73-78Views:301Access to credit is one of the critical areas that are of prime interest to development practitioners, agribusiness entrepreneurs and agricultural economists, mainly access to credit by farmers in order to increase their production and also reduce poverty. This study sought to analyze the determinants of credit access among cocoa farmers in the Asunafo North of the Ahafo Region of Ghana. The multistage sampling procedure was used to collect data from 100 cocoa farmers with the aid of a questionnaire. Sources of credit, factors influencing access to credit, and constraints to credit were analyzed with the aid of descriptive statistics, multiple linear regression, and Kendall’s coefficient of concordance respectively. The results of multiple linear regression revealed that, age, marital status, education, experience, and family size were significant factors that influenced access to credit. The constraints analysis with the aid of Kendall’s coefficient of concordance showed that, high interest rate was highly ranked with a mean score of 1.93 whilst the need for a guarantor was least ranked with a mean score of 7.40. Based on the results, the study recommended that a policy aimed at expanding formal and semi-formal financial institutions credit portfolio to embrace cocoa farmers by finding alternative to collaterals and also reducing the interest rate will improve credit access with a positive externality effect of poverty reduction among cocoa farmers in the study area.
JEL Classification: Q14
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Assessment of women farmers’ credit needs in imbulpe ds division in Sri Lanka
Views:194The study was conducted to identify the role of women farmers’ credit needs, using Imbulpe (Divisional Secretariat) DS Division in Sri Lanka. As the sample size of study 238 women farmers were selected from seven selected (Grama Niladhari) GN divisions of the study area. This study was conducted to identify the areas and level of credit needed by women farmers. And also, the agricultural credit sources of was identified. Women farmers were selected by using the simple random sampling method. Questionnaire Survey was used as the data collection method from March to July 2019. Descriptive statistics was used for the data analyzing process and the result showed that, 59.7 % of the women farmers were observed within the middle ages (40-59 years), most of them were married, and 4-5 members within their family. 64.3 % of women farmers were studied up to secondary level education. Majority of the women farmers were noted that they need credit facilities for the application of agrochemicals and fertilizers. In Addition to that, utilization of modern farming technologies, transportation & marketing of agricultural products and purchasing improved seeds & livestock related credit neediness most important for them. And also, they were showed a less interest regarding the credit neediness for pre-planting activities, irrigation facilities and harvesting activities. Most of the respondents were indicated high level of credit neediness for the application of agrochemicals and fertilizers and utilization of modern farming technologies while moderate and low level of agricultural credit neediness regarding the pre-planting activities, irrigation facilities and harvesting activities within the study area. Majority of the respondents were showed savings from the previous agricultural earnings and other family member or fellow women as their major credit sources of agricultural activities. Private money lenders act as the least important credit source for agricultural activities in the study area.
JEL CODE: Q1, Q12 -
Empowerment of rural women farmers and food production in Rathnapura district in Sri Lanka: a household level analysis
105-112Views:229Women empowerment and gender equity are two significant aspects of the sustainable development of a country. As Sri Lanka is on the way towards sustainable development, this study was conducted to assess the situation of women farmers’ empowerment and food production in Rathnapura district of the country. A sample of 300 women farmers was randomly selected for the study, from two selected Divisional Secretariat (DS) of Rathnapura district. Data was collected from a field survey using a pre-tested, self-administered questionnaire survey from April to July 2019. Empowerment was analyzed using the empowerment framework used by RAHMAN AND NAOZORE in 2007 in the study of “Women Empowerment through Participation in Aquaculture” with necessary modifications. Data analysis was conducted using descriptive statistics, correlation analysis and multiple linear regression analysis. Results revealed that majority of the women farmers were middle aged, married and had children. Furthermore, most of them had education up to secondary level. While average family size was four, average farm size was 1.25 acres. They had around 16 years of farming experience. The average monthly income of them was 25,000.00 LKR whereas 20% of it was from agriculture. The main sources of empowerment of women farmers were the Agrarian Service Center (55%) followed by village organizations/societies (30%) and microfinance institutions (26%). Furthermore, women empowerment index was 0.65. It is a moderate level of empowerment. However, there were women farmers under three categories of empowerment levels: low empowerment (4.1%), medium empowerment (58.5%) and high empowerment (36.1%). Out of the socio-economic factors; age, education, family size, land size, number of training programs participated, monthly income, experience in agriculture and number of organizations participated, education and number of training programs attended had significant and positive effect for the empowerment. Accessibility of credit facilities and agricultural extension program participation showed that there was a considerable impact on food production rather than the cultivable land size and utilization of modern farming technologies for food production. Therefore, proving of timely important agricultural education and training programs, enhance awareness level of modern farming technology utilization, better micro finance programs and agricultural credit facilities will be able to enhance the empowerment level of the women farmers of this area furthermore.
JEL CODE: Q01, Q12
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Some possibilities for risk analysis in the decision support of crop production
79-85Views:118This article has been made according to my dissertation in which I present some opportunity of risk analysis and risk management in the decision support of crop production. Plant production is one of the most hazardous agricultural enterprises. Among risk sources seasonal fluctuation of average yields plays an important role in the assessment of enterprises. Therefore, I analyzed the production risk of the produced crops in Hungary compared to the European Union’s, after that I took into consideration the production site’s circumstances as well. Decision-makers must possess such means, by which they can measure, oversee and manage the effects and consequences of risk. In crop production linear programming models can be used to determine the optimal crop structure, by which income-sensitivity can be taken into account, but it does not reflect the behavior to risk. This deficiency can be avoided by using risk programming models. By the complementary usage of linear programming and risk programming models the optimizing and adaptive planning can be executed. It often causes a problem for the producers to decide when and how much to sell to realize a maximum turnover. The decision is mostly influenced by the selling prices, but also important factors are the financial status of the business, the amount of credit and its conditions, the stock piling opportunities and costs, and the short-term investment opportunities as well. For the resolution of the problem I set up a dynamic, simultaneous financial model by which the system-conceptual analysis of the above mentioned factors and a sound decision-making can be executed.
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