Economic Impacts of Biogas Plants A Case Study of Budhabare Vdc in Jhapa District, Nepal
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Central Department of Rural Development Tribhuvan University, Kathmandu
Abstract
his thesis entitled “ECONOMIC IMPACTS OF BIOGAS PLANTS ” (Case Study
of Budhabare VDC in Jhapa District, Nepal) focuses on status of Biogas plants and its
impacts on economic aspects . The general objective of the study is to examine and
analyze the role biogas plants for changing economic status of local people. It has the
following specific objective; to examine the economic benefits of biogas by
calculating average income saving due to non-burning of fuel wood and kerosene as
well as suggest relevant way outs for the betterment of biogas plants. The present
study was carried out in Budhabare VDC of Jhapa district, which is located in the
Eastern development region in Mechi Zone. The economic status of this village is
average. Agriculture is the main occupation of this VDC. Since nobody did any kind
of research in this VDC.
There were 5270 household on V.D.C. among them 40 households were selected by
using random sampling method; the study is used in descriptive research design. This
study focuses on economic study and using descriptive research design method has
fulfilled the objectives of the study. The study has been based on both secondary and
primary data and information.
Secondary data were used to present the background of the study and supplement and
complement the findings of the study. Secondary data were collected from various
sources such as books, journals, previous thesis on the subject and government
publications. The household survey has been conducted in order to collect qualitative
and quantitative facts about economic status of people living in the study, financial
situation and the role of biogas in upliftment of economic condition. Certain
information has been collected by focus discussion, key interview and observation
method. Researcher has observed biogas usage along with firewood and kerosene
usage, house pattern etc to guess the situation of economic status. Collected data and
information were presented and analysis by using simple mathematical and statistical
tools such as table graph, pie chart, percentage etc.