American
International
University-
Bangladesh

Students & Supervisors

Abstract

Background The economy of Bangladesh has benefited greatly from the massive cash crop of jute. Manufacturing planning must consider these factors in order to enhance the yield of jute. Jute agriculture is believed to be directly influenced by rainfall, which is a critical climate component. Nevertheless, empirical evidence that substantiates this association is exceedingly scarce. Methodology This study aims to statistically examine the relationship between jute output and rainfall patterns in Bangladesh from 2014 to 2023, assuming that jute production is proportionate to yearly rainfall rates. Data on jute output and rainfall were acquired from several government sources, including the Bangladesh Bureau of Statistics and the Bangladesh Meteorological Department, and utilized for secondary data analysis. The data spans 2014 to 2023. The relationship between the variables was studied utilizing statistical methods such as correlation and regression analysis. Regression and correlation analyses were carried out using IBM SPSS Statistics 27.0.1. In addition, a time series analysis was conducted to account for any trends and seasonal fluctuations in the data. Findings The study's results indicated a p-value of 0.073 and a significant positive association (r = 0.589) between jute output and yearly rainfall over a period of 10 years. Specifically, years with increased rainfall were associated with elevated jute crop yields. The regression analysis demonstrated that rainfall accounted for a significant amount of the variability in jute production, providing evidence for the hypothesis of a proportionate association. The graph, derived from the gathered data, demonstrates a close correlation between the rate of jute output and the rate of rainfall. Conclusion In Bangladesh, rainfall and jute output were shown to be significantly positively correlated between 2014 and 2023. These data demonstrate how important climate is when creating and implementing agriculture strategy. Future research should examine additional parameters over longer time periods to better understand jute production dynamics. From the data, this graph demonstrates that jute production is virtually perfectly proportional to rainfall.

Keywords

Publication Details

• Type of Publication: Conference
• Conference Name: 2nd South Asian Conference 2024
• Date of Conference: 11/02/2024 - 11/03/2024
• Venue: Press Institute Bangladesh, Dhaka, Bangladesh
• Organizer: Center for People and Environ