Economic Impacts of Biogas Plants A Case Study of Budhabare Vdc in Jhapa District, Nepal

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.