Socio-economic indicators are significant for determining the overall lifestyle of the Pineapple Growers. The study examines the different socio-economic variables of the pineapple farmers. The researchers selected the Sreemangal upazila of Moulvibazar district purposively and primary data was collected through a structured questionnaire during 2017-2018 cropping season from one hundred pineapple growers (small, medium and large) following simple random sampling technique. Descriptive statistics include frequency, sum, average, percentage and ratios were used to analyze the data. The study revealed that majority of the farmers were in small (44 percent) and medium (30 percent) categories and average farm size was 2.130 ha. Most of the pineapple growers were middle aged (31-40 years old) while a little portion of them were older aged (greater than 60 years).  It was found that 81 percent of the respondents were married in the study area.  In addition, almost all farmers (95 percent) were literate and more than sixty percent of them had primary education. Averagely, a family consists five members and above three members are dependent to their family in the study areas.  Majority of the respondents had 11-20 years of farming experience and the primary occupation of them (91 percent) was agriculture including pineapple cultivation. Moreover, a significant portion of farmers received training from government agricultural extension office whereas around one sixth of pineapple farmers received credit from both public and private banks as well as from NGOs. However, Extension office need to provide more and effective training facilities to the pineapple farmers for profitable production, simplification of buying, selling, renting and leasing of land to reduce production cost as well as different incentive packages can be introduced by the government for encouraging unemployed youth people to engage in pineapple production.

The present study aims to examine the contribution of fishing in total income and extent ofhaor livelihood diversification; and identify the factors affecting haorlivelihood diversification of the fishing community. This study was conducted in Dekhar Haor of Sunamganj district. The data were collected from primary sources by using Simple random sampling from 100 respondents. Tobit model was used to determine the factors affecting the livelihood diversification. Fishing contributed highest to the household income. The estimated Simpson Index showed that fishermen have diversified their livelihood activities at medium level. The results showed that age of the respondents, years of schooling, access to credit and savings had positive effect, while, mode of land ownership, distance from the nearest market and value of household’s assets had negative effects on livelihood diversification. Non-farm employment opportunities should be expanded to increasehaor livelihood diversification.

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Aims: In today's competitive world, the participation of women in the earning sectors is very common and crucial. But there are several reasons that positively or negatively influence female participation in household income and decision-making. This present study aimed to highlight the determinants which are responsible for the economic contribution and decision-making of female pineapple workers at the household level in some selected areas of the Moulvibazar district, Bangladesh. Study Design: This article is about examining the factors which affect female workers contribution to household income and decision-making. It is based on empirical analysis and estimates the components that influence the income and decision-making of female pineapple workers at the household level. Place and Duration of Study: The study was carried out in the Sreemangal Upazila of Moulvibazar district of Bangladesh, including four villages, as the female participation in pineapple cultivation is relatively higher than in other districts of Bangladesh. The research was taking place from June to September 2020 which is the production period of pineapple. Methodology: The relevant data were collected from 180 respondents through face-to-face interviews using structured questionnaires. The simple random sampling technique was used to choose the sampled respondents. The demographic profile of the female pineapple workers was estimated by using descriptive analysis. To assess the factors influencing female workers contribution to family income and household decision-making, the logistic regression (Logit) model was used. In case to determine the severity that a pineapple female worker faced in their working place, the Constraints Facing Index (CFI) was applied. Results: From descriptive analysis, the study revealed that 73.0% of the respondents belong to an active working group and the average family size was 6.25. The study's outcome also showed that 54.5% had no formal education, and almost 56.0% of sample respondents incorporated 6 to 10 family members. 52.3% of respondents have 11-30 years of working experience in the pineapple field. From the Logit model, it is shown that the key determinants of contribution to family income and decision-making in the study area were age, education, occupational experience, indebtedness, and savings of the respondents which had a positive value of 1.041, 1.043, 1.095, 1.000 and 0.499, respectively. Instead of having several problems, low wage rate, physical injury, long working hours, lack of working facilities, and lack of training facilities were major among all the respondents. Conclusion: Lastly, from the respondents viewpoint, it has been summarized that increasing the wage rate, reducing working hours, supply of safety equipment, provide medical and training facilities improve not only their economic position but also ensure a healthy life and fair contribution in household income and decision making purpose.