Household willingness to adopt a single-stage solar-supported hyper-thermophilic anaerobic biogas digester in Ghana

Background Sustainability of energy is key for quality life; thus, the use of clean energy at the household level warrants moving from fossil-based energy to modern forms like biogas. However, the joint interactive effect of household income, biogas usage and willingness to adopt a single-stage solar-supported hyper-thermophilic anaerobic biogas digester (SSHTABD) is not known. Methods A cross-sectional survey was carried out to assess the willingness of residents of Elmina to adopt the SSHTABD. Stratified and simple random sampling techniques were used to select 219 respondents fitted into a complementary log-log regression model. Results Household willingness to adopt the SSHTABD was 86%. Among them are households not willing to use biogas but have high income and households willing to use biogas but have either low or high income are more likely to adopt the technology compared to households not willing to use biogas and have low income. Households not willing to use biogas, but have high income (OR = 1.725, confidence interval [CI] 0.803-3.706) and households willing to use biogas, but have low income (OR = 1.877, CI 1.103-3.188) compared to households willing to use biogas and have high income (OR = 1.725, CI 1.080-3.451) are more likely to adopt the technology as households not willing to use biogas and have low income. Additionally, households employed under the formal government sector, formal and informal private sectors are 40%, 136% and 103%, respectively, more likely to adopt the technology than those unemployed. Conclusion The high willingness of households to adopt the technology calls for government to support households to own biogas digesters thus requires policy interventions and interdisciplinary research.

Automated summary

The willingness of households to adopt the single-stage solar-supported hyper-thermophilic anaerobic biogas digester (SSHTABD) is high at 86%, with higher income households more likely to adopt the technology, while unemployed households are less likely to do so.