alexa Willingness Of Rural Communities To Adopt Biogas System In Pakistan: Critical Factors And Policy Implications
ISSN: 2090-4541

Journal of Fundamentals of Renewable Energy and Applications
Open Access

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4th Annual Congress and Expo on Biofuels and Bioenergy
April 27-28, 2017 Dubai, UAE

Inayatullah Jan
The University of Agriculture Peshawar, Pakistan
Posters & Accepted Abstracts: J Fundam Renewable Energy Appl
DOI: 10.4172/2090-4541-C1-027
Abstract
The collective hazards of dependence on fossil fuels, namely rapid depletion, constant volatility of fuel prices, and increased greenhouse gas (GHG) emissions, have triggered a sense of urgency among researchers and policymakers to explore alternative sources of energy. A growing body of literature suggests that countries of the world have explored renewable energy to find sustainable and viable solutions to their energy problems. The common renewable energy sources include hydropower, wind energy, solar energy, ocean energy, geothermal energy, and biomass such as biogas. Biogas is a methane rich gas that is produced by anaerobic fermentation of organic material such as animal dung. Pakistan has the sixth largest livestock based economy in the world and thus demonstrates a great potential for biogas production. The government has already started Biogas Support Program (BSP) in the country. This study attempts to determine a household’s predicted willingness-to-adopt a biogas system in Khyber Pakhtunkhwa (KP). The study is based on primary data collected from four districts, namely Peshawar, Nowshera, Charsadda, and Mardan. Data were collected from 200 livestock farming households selected through equal allocation technique. Probit analysis was used to identify the factors that influence the willingness of a household to adopt a biogas system. The results of the probit model reveal that education of respondents, total daily electric shortfall, effect of electric shortfall on children education and female drudgery, and respondents’ awareness regarding pros and cons of using biogas were statistically significant factors. The overall model was highly significant as shown by p<0.001 which depicts that the socio-economic characteristics of population are the main factors contributing to adoption of biogas system in the area. This study has important policy implications.
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