Pre- and Post-Adoption Beliefs about the Diffusion and Continuation of Biogas-Based Cooking Fuel Technology in Pakistan

• Published in: Energies (Basel) Vol. 12; no. 16; p. 3184
• Main Authors: Yasmin, Nazia, Grundmann, Philipp
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 20.08.2019
• Subjects: adoption; Alternative energy sources; Ambient temperature; Behavior; Biogas; Carbon; continue intention; Cooking; Data analysis; Decision making; Developing countries; drivers; Energy technology; Environmental impact; Fuel technology; Households; inhibitors; LDCs; Motivation; Multivariate analysis; Multivariate statistical analysis; perceived values; Perceptions; Renewable energy technologies; Risk perception; Rural areas; Success; Technology Acceptance Model; Technology adoption; Theory of planned behavior; User satisfaction; Variation; Netherlands; Pakistan; Kenya; United States > US; Germany
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en12163184

A high level of acceptance and adoption is necessary to facilitate the widespread utilization of renewable energy technologies for cooking, as such utilization is essential for displacing the population’s massive dependence on fossil fuels and solid biomass. Economic and demographic aspects have been the focus of recent literature in exploring the adoption phenomenon of biogas technology. However, literature to date has given little attention to the behavioral factors and the perceptions of the end-users. Our study does not only include behavioral factors, but it employs a hybrid model to explore the continued attentions of users based on their post-adoption beliefs and performance expectations. Using a survey conducted in Pakistan in 2017, the study conducts a multivariate analysis through structural equation modeling to measure the effect of pre- and post-adoption beliefs and expectation on adoption and the continuing intention of households towards biogas technology. Results show that the acceptance of the households towards biogas technology is highly influenced by their perceptions on the benefits, as well as their trust in the technology. The perceived cost and risk attached to the technology are found to be negatively correlated with the acceptance. Households’ intentions to continue the use of biogas technology is highly influenced by the satisfaction level of the users of biogas technology. With the integrated model of adoption and continuation, the study illustrates the dynamic process in obtaining a deeper understanding of a user’s behavior to better formulate the policies for increasing the rate of technology adoption.