Abstract:
Food insecurity in Bangladesh is exacerbated by the vulnerability of the country's rice
industry to climate-related risks like drought. Adoption of rice types resistant to drought
can significantly boost output, the availability of food grains, and income. The objective of
this study was to identify the adoption determinants of drought tolerance rice variety and
to compare the livelihood status between drought tolerance rice variety adopter and nonadopter.
I
received
data
from
SAURES
where
120
rice
farmers
from
Rajshahi
and
Natore
district
were chosen randomly to achieve these goals were questioned. The total sample
was separated into two groups: adopters, and non-adopters. Binary Logistic Regression
Model identifies factors affecting the adoption of drought tolerance rice varieties, where
experience, training on drought tolerance rice variety, extension contact, and knowledge of
drought tolerance rice variety have a positive impact and significant at 1%, 5% and 10%
level, while age has a negative impact on adoption. Finally, the study compares the
livelihood components of adopter and non-adopter farmers and finds that natural, physical,
and financial capital are higher for adopters, while human and social capital are higher for
non-adopters. The overall livelihood index for drought tolerance rice varieties growers
(0.62) was higher for non-adopter compared to adopter (0.61). The adoption of droughttolerant
rice varieties was impacted by four key variables had positive impact, while age
had a negative impact. Adopters had higher natural, physical, and financial capital whereas
non-adopters had higher human and social capital.
Description:
A thesis submitted to
The Department of Management and Finance, Sher-e-Bangla Agricultural University,
Dhaka-1207
In partial fulfillment of the requirements for the degree of
MASTER OF SCIENCE
IN
MANAGEMENT AND FINANCE
