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An Empirical Study of Renewable Energy Technology Acceptance in Ghana Using an Extended Technology Acceptance Model

Author

Listed:
  • Li Yang

    (School of Economics and Management, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan 232001, China)

  • Sumaiya Bashiru Danwana

    (School of Economics and Management, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan 232001, China)

  • Issahaku Fadilul-lah Yassaanah

    (School of Mathematics and Big Data, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan 232001, China)

Abstract

Energy consumption, and its impact on the environment, has become an increased focal point in Ghana, a sub-Saharan African country, following population growth and rapid urbanization. Ghana has high potential for renewable energy generation; nevertheless, low acceptance and usage have been found. An extensive study is required to understand the causes driving poor acceptability and the intentions to use renewable energy. This study aims to empirically investigate the acceptance of renewable energy using an extended technology acceptance model (TAM). A cross-sectional survey was conducted, from 1 February 2021 to 30 June 2021, using a self-administered questionnaire. The survey was carried out on Ghanaian adults of the age 18 years and above. Data was collected from 1068 respondents from Ghana’s northern and southern parts and analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS software. The results of the data analysis reveal that environmental awareness is the biggest predictor of the intention to use renewable energy in Ghana. Perceived affordability was also found to be the most significant predictor of attitudes towards the use of renewable energy in Ghana. The findings of this research will give policymakers, manufacturers, and the providers of renewable energy appliances a better understanding of the factors that determine the intention to use renewable energy.

Suggested Citation

  • Li Yang & Sumaiya Bashiru Danwana & Issahaku Fadilul-lah Yassaanah, 2021. "An Empirical Study of Renewable Energy Technology Acceptance in Ghana Using an Extended Technology Acceptance Model," Sustainability, MDPI, vol. 13(19), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10791-:d:645461
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    References listed on IDEAS

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    Cited by:

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    2. Olawale Fatoki, 2022. "Determinants of Intention to Purchase Photovoltaic Panel System: An Integration of Technology Acceptance Model and Theory of Planned Behaviour," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 432-440, May.
    3. Bilal Khalid & Mariusz Urbański & Monika Kowalska-Sudyka & Elżbieta Wysłocka & Barbara Piontek, 2021. "Evaluating Consumers’ Adoption of Renewable Energy," Energies, MDPI, vol. 14(21), pages 1-15, November.
    4. Kyere, Francis & Dongying, Sun & Bampoe, Gertrude Dotse & Kumah, Naana Yaa Gyamea & Asante, Dennis, 2024. "Decoding the shift: Assessing household energy transition and unravelling the reasons for resistance or adoption of solar photovoltaic," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    5. Leïla Traoré & Bienvenue Belinga & Guillaume Lescuyer, 2023. "A Systematic Review of the Scope and Patterns of Green Consumption in Sub-Saharan Africa," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    6. Waad Bouaguel & Tagreed Alsulimani, 2022. "Understanding the Factors Influencing Consumers’ Intention toward Shifting to Solar Energy Technology for Residential Use in Saudi Arabia Using the Technology Acceptance Model," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    7. Yeboah, Samuel, 2023. "Balancing Growth and Green: Strategies for Sustainable Development in Developing Economies," MPRA Paper 118180, University Library of Munich, Germany, revised 20 Jun 2023.
    8. Laxmi Gupta & Ravi Shankar, 2022. "Adoption of Battery Management System in Utility Grid: An Empirical Study Using Structural Equation Modeling," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 573-596, December.

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