The study was conducted to determine the socioeconomic characteristics and constraints of participatory pond fish farmers in Muktagachha upazila (sub-district) under Mymensingh district of Bangladesh. Data were collected by using a structured interview schedule during 01 to 31 October 2018 from a sample of 100 fish farmers (50% of total population) who were selected randomly from a population of 200. Data were analyzed using descriptive statistics, rank order and coefficient of correlation. The majority of the participatory pond fish farmers (90%) faced medium to low constraints. Among 22 constraints, lack of training on aquaculture was identified as the most critical one, followed by high price of various inputs. The least important constraint of the farmers was crisis of water in dry season. It was revealed that fish farming experience, annual family income and training exposure were significantly associated with the constraints of participatory pond fish farmers. It is therefore recommended that the Department of Fisheries (DOF) and other related organizations can offer credit facilities, proper training and suitable extension services to minimize the constraints of participatory pond fish farmers and meet the increasing demand of fish in Bangladesh. Int. J. Agril. Res. Innov. Tech. 10(2): 170-176, December 2020
Maize is considered as the third most important cereal crop and has more versatile uses in Bangladesh. The study was undertaken to examine the profitability and technical efficiency of maize production as well as to determine the influence of various socio-economic features on farmers land allocation for maize farming in Bangladesh. In doing so, the study utilized the farm-level data collected by the field survey in Lalmonirhat district of Bangladesh. A total number of 60 farmers were selected by using stratified random sampling method among which 36, 20 and 4 farmers were selected under three strata, small, medium and large farmers, respectively. Data were analyzed using simple statistical techniques as well as OLS regression analysis. The comparative analysis among different strata of farmers by this study brought into being that large farmers received higher profit compared to the small and medium farmers. The other results of the study include that maize cultivation helped a lot in improving the nutritional status of the rural people; in creating employment opportunity for them and in increasing household income in the study area. The result of the OLS method suggests that factors like education level, neighbors influence, farm size and higher output price of maize have significant influence upon the choice of farmers land area allocation for maize cultivation in the study area. Based on the findings, this study recommends that proper initiatives must be undertaken by the responsible authority to ensure the efficient use of resources by the maize farmers.Progressive Agriculture 27 (3): 346-354, 2016
The study was undertaken to identify the factors influencing women empowerment, calculate empowerment index considering the trend of employment. In doing so, the study utilized the data collected by the field survey from Mymensingh districts of Bangladesh. A total number of 60 women respondents were selected using random sampling technique and were categorized into two groups, employed and non-employed, each group comprised equal number of respondents, i.e., 30 women. Data were analyzed using simple statistical techniques as well as OLS regression analysis. An analysis of the socioeconomic status of the women showed that average monthly income difference between employed and non-employed women was BDT 3916 such high difference in average monthly income enabled 70% of the employed women to be empowered whereas with negligible earnings, only 33% of the non-employed women were empowered. The result of the OLS method suggests that the number of children, age gap between husband and wife and income gap between husband and wife significantly affect women empowerment. The five domains of empowerment index indicated that in case of employed group the highest disempowered women (69.44%) in case of leadership domain followed by Production (35.56%), resource (32.41%), income (32.41%) and time domain (23.15%) and in case of non-employed group the highest disempowered women (35.19%) in case of resource domain followed by production (34.57%), leadership (32.10%), income (30.86%) and time domain (4.94%). Results showed that the employed women are more empowered than non-employed women. Therefore, this study strongly suggests that women should be given all the facilities to get involved with income generating activities.Progressive Agriculture 27 (3): 301-310, 2016
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