Poverty increases despite the poverty intervention programmes, hence the need to examine the poverty status of participating farmers in Fadama III programmes. Data were collected from a sample of 70 fadama farmers across 9 FCA using a multi-stage sampling technique and analyzed using both descriptive, inferential statistics and econometric tools. A cross of stages of commitiment and level of involvement in the programme gave a composite count of actual participation level while the ratio of the actual participation to maximum obtainable levels expressed the intensity of participation. Tobit regression model estimated the incidence of particpation while poverty was decomposed into poverty headcount (depth), gap and severity using Foster-Greer Thorbeck (FGT). Majority of the farmers were male (68.6%) with a mean age of 49.1 years and relatively higher formal education attaiment. Sever poverty is common with passive members, female and old farmers. Again, relatively larger household size and low formal educational status may trigger poverty but increased social capital, farming experience as well as reduced funding and poverty status of the farmers in Imo State increased intensity of participation at p < 0.05 critical level. Intensity of participation is reduced by 0.461 and 4.26 X10-7 unit each with a unit increase in poverty status and funding respectively but increased by 0.0434 and 0.0042 unit respectievly with increased social capital and farming experience. The study recommends the use of young, educated, experienced farmers with lower household sizes in poverty intervention programmes while government interest should center on poverty reduction to encourage participation.
Uttar Pradesh is at the forefront in the production of the total food grains (20%), sugar cane (36%), potato (34%), livestock excluding cow (11%) and milk (17%), wheat (33%), lentil (45%), vegetables (30%) in the country. The purpose of the paper is to throw light on the process and structure of agribusiness and agro-processing in Uttar Pradesh. This study focuses on the untapped potential and highlighted the scope for the agro based agro-processing and agri-business in Uttar Pradesh. Efficient arrangement with favorable policy support and incentives, by taking into account the strengths, weaknesses, opportunities and threats of decisive components like human and land resources, crops, livestock and agro-processing activities would lead to plan the state of Uttar Pradesh as one of the major players in the field of agro-processing as well as agri-business sector of India. The diversified commodity mix in crop sector, livestock compositions, large geographical coverage, variety of soils and diverse agro climatic conditions, abundant availability of labour force, varied availability of agricultural raw materials in state offers excellent prospects for the development of high value agro-based industries and promotion of agri-business. Still state needs to address the issue of strengthen the agribusiness sector with proper implementation of business policies and to create strong mechanism for forward and backward linkages in it.
Assignment problem is a well known and most suited for solving real world problems. This paper deals with Intuitionistic fuzzy assignment problem whose cost has been considered as an Intuitionistic triangular fuzzy numbers. By defuzzifying, the assignment costs are converted into crisp values and the optimum solution is obtained by using Branch and Bound method.
Madhya Pradesh (MP) is a tribal dominated state and the tribal peoples still follow their traditional occupation of rearing cattle, buffaloes, goats, sheep, pigs and desi fowls. The present study was undertaken with the objective of studying the socio-personal profile of tribal women in Animal Husbandry Practices in relation to the degree of belief and decision making pattern of tribal women in animal husbandry practices One hundred tribal families were selected through randomized proportionate sampling from all the four village viz., Kadamtola, Payari No.1, Chhulha and Pondi of Anuppur District of Madhya Pradesh. It was found that age, literacy and years of experience in animal husbandry were positively and significantly correlated with degree of belief and decision making pattern of tribal families in animal husbandry practices.
This research was conducted in Cienda, Gabas and San Vicente, Kilim, Baybay City, Leyte. This study draws on the effectiveness of the Community-Based Forest Management (CBFM) program on the aforementioned communities through Cienda-San Vicente Farmers Association (CSVFA) as the CBFM holder. The assessment was based on the CBFM program’s main principle, “people first and sustainable forestry will follow”. Moreover, an interview schedule was used in collecting primary data. During the survey, the sampling method used was the combination of Slovin’s formula and Finite Population Correction (FPC), wherein 41 respondents were interviewed from the CSVFA members and 50 respondents from the non-members.
All the data were encoded and results were analyzed using the Statistical Packages for Social Studies (SPSS). Moreover, independent samples t-test was used to compare the means of the two variables. However, other results of the data were simplified in a descriptive statistical analysis such as those data with no significant relationship between the two variables.
Generally, it was noted that the effectiveness of the CBFM in the two communities was affected by various pillars which include the a) CSVFA and its b) tenurial instrument which is the CBFM agreement as the foundation of the program; c) innovation of natural resources and income-generating activities which serves as its wealth; and lastly, the d) governance which is responsible for the distribution of responsibilities and decision-making process.