Year 2021

DETERMINANTS OF FOOD INSECURITY IN RURAL HOUSEHOLDS IN NORTH-WESTERN REGION OF BANGLADESH

Fri, 01 Jan 2021 00:00:00 GMT

DETERMINANTS OF FOOD INSECURITY IN RURAL HOUSEHOLDS IN NORTH-WESTERN REGION OF BANGLADESH KHATUN, MAUNJERA The main objective of the study was to identify some of the factors that influence household food insecurity in the North-South region of Bangladesh. Two upazilas one from Rajshahi and another upazila from Chapainawangonj district. A simple random sampling method was employed to select the final sampling units. The study period was from June 2021 to June 2022. A household food balance food model was adopted and the recommended daily calorie requirement was used to determine the household food security status. Household food insecurity causation was then examined using the logistic regression model. The descriptive result observed that 42.50% of the respondents said that their food is secure and 57.50% of the respondents said that their food is insecure. We have used the chi-square test to describe the relationship between food security status and its determinants. From the chi-square test, it is seen that family size, annual income, and annual yield, were significantly related to household food security status at 1%, 97.5%, and 99% level of significance. The values of Cox and Snell and Nagelkerke R Square .536 and .720 indicate that 53.6% and 72% of the total variation of household food security status was explained by family size, annual income, and annual yield. The Hosmer- Lemeshow test result reported chi–a square value of 2.062 with a p-value of .846 on 5 degrees of freedom. Showing that there is no difference between observed and expected values. The model fits the data at an acceptance level. Assessment of the interaction terms showed that none of them were statistically significant and hence were excluded from the model. Internal consistency reliability of the data used in the study is concerned; Cronbach alpha coefficient of .182 is obtained. This means on average, household heads have similar opinions or judgments towards considering the 4 items or variables (Family Size, Annual Income Annual Yield) as major determinants of food insecurity. A thesis Submitted to the department of Agricultural Statistics Sher-e-Bangla Agricultural University, Dhaka In partial fulfillment of the requirements for the degree of MASTERS OF SCIENCE (MS) AGRICULTURAL STATISTICS

DETERMINANTS OF FOOD INSECURITY IN RURAL HOUSEHOLDS IN NORTH-WESTERN REGION OF BANGLADESH

Fri, 01 Jan 2021 00:00:00 GMT

DETERMINANTS OF PESTICIDE USE AND RISK PROTECTIVE BEHAVIOUR IN BRINJAL PRODUCTION

Fri, 01 Jan 2021 00:00:00 GMT

DETERMINANTS OF PESTICIDE USE AND RISK PROTECTIVE BEHAVIOUR IN BRINJAL PRODUCTION MIYA, MD. LALON Farmers are working extremely hard to boost crop yields by using more pesticides and fertilizer as a result of the rising global demand for food and the shrinking amount of arable land. But using pesticides in agriculture has had unfavorable repercussions on the environment and human health. The study was conducted to examine the determinants of pesticide use and risk protective behaviour in brinjal production in some selected areas of Bogura district in Bangladesh. Besides, attempt had given to describe the socio-economic characteristics of the brinjal farmers, to identify the factors that significantly influence farmers use of pesticides in brinjal production, to compare the use of pesticides among brinjal farmers and investigate the comparison of risk protective behaviour among brinjal farmers. Two upazilas called Shibganj and Shahjahanpur under the Bogura districts was selected purposively for the study on the basis of extensive brinjal production. Simple sampling procedure was used to select a sample of 102 respondents. Data were analyzed using descriptive statistics, Multiple linear regression coefficients of contributing determinants related to the determinants of pesticide use in brinjal. Results indicated that safety behaviors in pesticide use were inadequate, particularly in majority of the farmers were overusing insecticides, fungicides and herbicide. The majority of the farmers (40) did not use mask as a result of low education levels, high cost and low availability. Due to their low levels of education, high costs, and lack of access, the majority of farmers (34) did not know about pesticide toxicity. Findings from the Multiple linear regression coefficients model estimation indicated that use of NPK and plot size are significant at 1% level and experience, highest education level of the family and family size are significant at 5% level and significantly influenced the amount of pesticide usage. In order to allow correct pesticide usage for improved livelihoods and environmental protection, the study advised the implementation of risk protective measures, safety training programs and suitable extension services. In terms of public policy, developing and executing targeted interventions aiming at encouraging the limit of detrimental consequences of excessive pesticide use on human health and the environment. A Thesis Submitted to the Department of Agricultural Statistics, Sher-e-Bangla Agricultural University, Dhaka-1207, in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN AGRICULTURAL STATISTICS

CURRENT SCENARIO OF HOUSEHOLD INCOME, FOOD SECURITY AND DIETARY DIVERSITY AMONG HANDLOOM WEAVERS OF SHIRAJGANJ DISTRICT

Fri, 01 Jan 2021 00:00:00 GMT

CURRENT SCENARIO OF HOUSEHOLD INCOME, FOOD SECURITY AND DIETARY DIVERSITY AMONG HANDLOOM WEAVERS OF SHIRAJGANJ DISTRICT MUMU, REHNUMA ISRAT Rural non-farm development plays a key role in generating employment in many developing countries. In this regard handloom industry is one of the most important factors for the development of Bangladesh. Handloom industry is the most ancient cottage industry in Bangladesh but many of the handloom weavers are in vulnerable situation. Poverty and food security are intricately interlinked and it should be analyzed in different dimensions. This study was conducted to assess the calorie intake level, determine the factors influencing calorie intake and identify the problems faced by the handloom weaver households in a selected area of Bangladesh. A sample size of 200 households was selected simple random sampling method from Four villages. Data were collected through field survey by using pre-designed and pre-tested interview schedule. To assess the per person per day calorie intake level of the sample household's members, the food consumption data of seven days was measured by standard value of 100 gm each food item. To determine the factor influencing calorie intake multiple regression analysis was carried out. Calorie intake level and food consumption scores were used to measure poverty and food insecurity. According to calorie intake level, there was no respondent belonged to ultra-poor (<1600 kcal). About 5.5% of the respondents belonged to hard core poor (<1805 kcal) whose average calorie intake was 1698.13 kcal and 21% of the respondents had an average calorie intake 2078.36 k. calories and they belonged to absolute poor. The rest 73.5% of the respondents took above 2122 kcal. and average calorie was 2251.77 kcal. Therefore, the maximum number of respondents belonged to the Non-poor group. Food consumption vary one group to another. People with higher income have ability to consume both essential and luxury foods. On the other hand, income with lower and middle rate people have to maintain their consumption list containing essentials one. Income of the household have positive impact on calorie intake of the household's members. Among the reported problems low wage rate and increase price of input was ranked the main problem faced by the handloom weavers. Bangladesh Handloom Board, government and non-government organizations, and institutions can take specialized policies for handloom weavers to reduce poverty and strengthen food security. A thesis Submitted to the Department of Agricultural Statistics Faculty of Agribusiness Management Sher-e-Bangla Agricultural University, Dhaka-1207 In partial fulfillment of the requirements for the degree of MASTERS OF SCIENCE (MS) In AGRICULTURAL STATISTICS