http://localhost:8080/handle/123456789/3158 Sat, 18 Apr 2026 16:16:12 GMT 2026-04-18T16:16:12Z http://localhost:8080/handle/123456789/3160 EFFECTS OF USING SELECTED POST-HARVEST PRACTICES TO STRENGTHEN VEGETABLE EXPORT MARKET MOIN, MD. JULFIKER The study was conducted to determine the extent of effects of using selected postharvest practices as perceived by the farmers and explore the contribution of the selected characteristics of the farmers to their perceived effects of using selected postharvest practices to strengthen vegetable export market. The study was conducted in three upazilas namely Belabo, Raipura and Shibpur under Narsingdi district in Bangladesh. A total of 717 farmers of these three upazilas are actively producing and exporting Bitter Gourd, Brinjal and Teasel Gourd with the help of Bangladesh Fruits, Vegetables and Allied Products Exporter’s Association (BFVAPEA) which constituted the population of the study. By using sample size formula, 250 farmers founded the sample of the study. Proportionate random sampling technique was used for selecting sample farmers from farmers’ group formed by BFVAPEA in different villages of different unions of these three selected upazilas. Finally 91, 75 and 84 farmers were included for Bitter Gourd, Brinjal and Teasel Gourd respectively as the sample. Data were collected from a sample of 250 farmers during August 01, 2019 to November 30, 2019 by using an interview schedule. Nineteen (19) selected characteristics of the farmers were considered as the independent variables. Effects of using selected post-harvest practices to strengthen vegetable export market was the dependent variable. Majority (83.60%) of the farmers perceived that the use of selected post-harvest practices was medium to high effective to strengthen vegetable export market. Stepwise multiple regression analysis indicated that the whole model of 19 variables explained 35.90 percent of the total variation in effects of using selected post-harvest practices to strengthen vegetable export market as perceived by the farmers. But since the standardized regression co-efficient of 6 variables formed the equation and were significant, it might be assumed that whatever contribution was there, it was due to these 6 variables. Results of stepwise multiple regression analysis showed that use of selected vegetables post-harvest practices, knowledge on selected vegetable post-harvest practices, exportable vegetables production, experience in exportable vegetables production and extension contact had significant positive contribution whereas problems faced in vegetable value chain had negative contribution to their perceived effects of using selected post-harvest practices to strengthen vegetable export market. Path analysis indicated that knowledge on selected vegetable post-harvest practices had the highest total indirect effect followed by extension contact, use of selected vegetables post-harvest practices, experience in exportable vegetables production and exportable vegetables production on their perceived effects of using selected post-harvest practices to strengthen vegetable export market. Problems faced by the farmers had negative total indirect effect on their perceived effects of using selected post-harvest practices to strengthen vegetable export market. Finally, it was found that use of selected post-harvest practices was effective to strengthen vegetable export market. A Dissertation Submitted to the faculty of Agriculture, Sher-e-Bangla Agricultural University, Dhaka In partial fulfilment of the requirements for the degree of DOCTOR OF PHILOSOPHY IN AGRICULTURAL EXTENSION & INFORMATION SYSTEM SUBMITTED TO DEPARTMENT OF AGRICULTURAL EXTENSION & INFORMATION SYSTEM SHER-E-BANGLA AGRICULTURAL UNIVERSITY SHER-E-BANGLA NAGAR, DHAKA-1207, BANGLADESH Sat, 01 Dec 2018 00:00:00 GMT http://localhost:8080/handle/123456789/3160 2018-12-01T00:00:00Z http://localhost:8080/handle/123456789/3159 GREEN INDUSTRIALIZATION OF READYMADE GARMENTS SECTOR IN BANGLADESH RAHMAN, MD.TAIBUR The main purpose of this study was to determine the extent of green industrialization of Ready Made Garment (RMG) in Bangladesh. Two green industries namely, Rami Holdings Limited and Plummy Fashion Limited of Narayanganj District were considered for the study. Data were collected from a sample of randomly selected 263 RMG Workers and Supervisors out of 840 from these two (2) RMGs. Simple and direct questions with different scales were used to obtained information. The study was conducted during the time from 02 June 2019 to 30 August 2019. Eleven (11) selected characteristics of the RMG Workers and Supervisors were considered as the independent variables. Out of 11 top Leadership in Energy and Environmental Design (LEED) certified factories of the world, eight (8) factories are situated in Bangladesh. Findings revealed that overwhelming majority (84.41%) of the RMG Workers and Supervisors perceived low to medium green industrialization of RMGs in Bangladesh. The mean of green industrialization of green and non-green RMGs were 33.22 and 14.89 respectively as perceived by the workers and supervisors. The calculated value of ‘t’ (193.788) was significant at .001 levels which was clearly indicated that green industrialization of green RMGs was higher than non-green RMGs. The items wise green industrialization index revealed that “ensure enough sunlight and solar power utilization to reduce the cost of electricity” ranked first followed by “keeping about 50% free space of total factory premises to ensure enough trees for enough ventilation facilities”, “assure factory workers housing facilities”. The next twelve important green industrialization items in descending order were “use of high solar reflecting paints in rooftop areas”, “use of eco-friendly light in factory”, “use of re-cycling bricks”, “assure nearby market for shopping”, “use of sprinkler for fire incident”, “assure schools for workers children”, “use of hand gloves during working”, “collection of rainwater for factory”, “access waste water treatment plant (ETP)”, “use of fire alarm for factory”, “use of eye guard during sewing” and “use of musk during working”. The correlation coefficient was initially computed to determine the relationships among all the variables. Due to misleading results from multicollinearity, Step-wise multiple regression and path analyses were used to explore the contribution and effect of the selected characteristics of the RMG Workers and Supervisors to/on the green industrialization of RMGs as perceived by them. The analyses indicated that out of 11 variables only 4 variables namely decision making ability, knowledge, cosmopolitness and education had significant contribution and effect to/on the green industrialization of RMGs as perceived by the Workers and Supervisors. The result indicated that the whole model of 11 independent variables explained 63.5 per cent of the total variation in green industrialization of RMG. But since the standardized regression coefficient of 4 variables formed the equation therefore, it might be assumed that whatever contribution was there, it was due to these 4 variables. A Dissertation Submitted to the faculty of Agriculture, Sher-e-Bangla Agricultural University, Dhaka In partial fulfilment of the requirements for the degree of DOCTOR OF PHILOSOPHY IN AGRICULTURAL EXTENSION AND INFORMATION SYSTEM SUBMITTED TO DEPARTMENT OF AGRICULTURAL EXTENSION AND INFORMATION SYSTEM SHER-E-BANGLA AGRICULTURAL UNIVERSITY SHER-E-BANGLA NAGAR, DHAKA-1207, BANGLADESH Sat, 01 Dec 2018 00:00:00 GMT http://localhost:8080/handle/123456789/3159 2018-12-01T00:00:00Z