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Purchase intention of renewable energy technology in rural areas in Bangladesh: Empirical evidence

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  • Masukujjaman, Mohammad
  • Alam, Syed Shah
  • Siwar, Chamhuri
  • Halim, Sharina Abdul

Abstract

Energy is related to socio-economic development, but modern energy is essential for sustainable development. This cross-sectional study examines the determinants of purchase intention for renewable energy technology in the rural context. The research model for this study and the thirteen hypotheses were derived from various theoretical models and existing literature related to technology adoption. This empirical test is conducted based on the survey of 300 Bangladeshi rural non-users of renewable energy technology selected in a stratified random sampling method using a structured questionnaire interview. The Structural Equation Modeling using the Analysis of Moment Structures software reveals that attitude, perceived cost, perceived usefulness, knowledge, and perceived behavioral control significantly influence renewable energy purchase intention. The results indicate that social influence and perceived ease of use do not affect renewable energy technology’s purchase intention. The results also show that knowledge and perceived usefulness are connected to attitude and perceived usefulness, whereas knowledge affects perceived ease of use, and perceived usefulness affects attitude toward the purchase of renewable energy technology. The study delivers a notable insight into the adoption of renewable energy purchase intention in Bangladesh along with managerial and policy implications. The study ends up with a discussion on the limitations and suggestions for future research.

Suggested Citation

  • Masukujjaman, Mohammad & Alam, Syed Shah & Siwar, Chamhuri & Halim, Sharina Abdul, 2021. "Purchase intention of renewable energy technology in rural areas in Bangladesh: Empirical evidence," Renewable Energy, Elsevier, vol. 170(C), pages 639-651.
    • Handle: RePEc:eee:renene:v:170:y:2021:i:c:p:639-651
    DOI: 10.1016/j.renene.2021.01.125
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    Cited by:

    1. Ganlin Pu & Md. Qamruzzaman & Ahmed Muneeb Mehta & Farah Naz Naqvi & Salma Karim, 2021. "Innovative Finance, Technological Adaptation and SMEs Sustainability: The Mediating Role of Government Support during COVID-19 Pandemic," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    2. Nketiah, Emmanuel & Song, Huaming & Cai, Xiang & Adjei, Mavis & Adu-Gyamfi, Gibbson & Obuobi, Bright, 2022. "Citizens’ intention to invest in municipal solid waste to energy projects in Ghana: The impact of direct and indirect effects," Energy, Elsevier, vol. 254(PC).
    3. Chakraborty, Debarun & Singu, Hari Babu & Patre, Smruti, 2022. "Fitness Apps's purchase behaviour: Amalgamation of Stimulus-Organism-Behaviour-Consequence framework (S–O–B–C) and the innovation resistance theory (IRT)," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    4. Patrick Klein & Bastian Popp, 2022. "Last-Mile Delivery Methods in E-Commerce: Does Perceived Sustainability Matter for Consumer Acceptance and Usage?," Sustainability, MDPI, vol. 14(24), pages 1-27, December.
    5. Barbara, Christian Enrico & D Adamo, Idiano & Gastaldi, Massimo & Nizami, Abdul Sattar, 2024. "Clean energy for a sustainable future: Analysis of a PV system and LED bulbs in a hotel," Energy, Elsevier, vol. 299(C).
    6. Wong, Gai-Zhe & Wong, Kok-Hoe & Lau, Teck-Chai & Lee, Jun-Han & Kok, Yin-Hui, 2024. "Study of intention to use renewable energy technology in Malaysia using TAM and TPB," Renewable Energy, Elsevier, vol. 221(C).
    7. Kamali Saraji, Mahyar & Aliasgari, Elahe & Streimikiene, Dalia, 2023. "Assessment of the challenges to renewable energy technologies adoption in rural areas: A Fermatean CRITIC-VIKOR approach," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    8. Nketiah, Emmanuel & Song, Huaming & Adu-Gyamfi, Gibbson & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Does government involvement and awareness of benefit affect Ghanaian's willingness to pay for renewable green electricity?," Renewable Energy, Elsevier, vol. 197(C), pages 683-694.
    9. Saleem, Shaham & Zhang, Yixiang, 2024. "Impact of knowledge and trust on households' solar energy consumption behavior: Do social influence and gender matter?," Energy, Elsevier, vol. 293(C).
    10. Ahmad, Munir & Khan, Irfan & Shahzad Khan, Muhammad Qaiser & Jabeen, Gul & Jabeen, Hafiza Samra & Işık, Cem, 2023. "Households' perception-based factors influencing biogas adoption: Innovation diffusion framework," Energy, Elsevier, vol. 263(PE).
    11. Paul Chibuogwu Ashinze & Jian Tian & Peter Chiedu Ashinze & Mehrab Nazir & Imrab Shaheen, 2021. "A Multidimensional Model of Sustainable Renewable Energy Linking Purchase Intentions, Attitude and User Behavior in Nigeria," Sustainability, MDPI, vol. 13(19), pages 1-16, September.
    12. Agozie, Divine Q. & Afful-Dadzie, Anthony & Gyamfi, Bright Akwasi & Bekun, Festus Victor, 2023. "Does psychological empowerment improve renewable energy technology acceptance and recommendation? Evidence from 17 rural communities," Renewable Energy, Elsevier, vol. 219(P1).
    13. 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.
    14. Hailiang, Zeng & Chau, Ka Yin & Waqas, Muhammad, 2023. "Does green finance and renewable energy promote tourism for sustainable development: Empirical evidence from China," Renewable Energy, Elsevier, vol. 207(C), pages 660-671.
    15. Rahmani, Amir & Mashayekh, Javad & Aboojafari, Roohallah & Bonyadi Naeini, Ali, 2023. "Determinants of households' intention for investment in renewable energy projects," Renewable Energy, Elsevier, vol. 205(C), pages 823-837.

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