Cost-Benefit Analysis of Renewable Energy Adoption in Small and Medium Enterprises (SMEs) in Indonesia

Authors

  • Quoc-Hieu Phan Chaoyang University of Technology Author

Keywords:

Renewable energy adoption, Costbenefit analysis, Diffusion of Innovations, SMEs

Abstract

This study aims to evaluate the economic viability and strategic implications of renewable energy adoption among small and medium enterprises (SMEs) in Indonesia. It addresses the critical gap in tailored cost-benefit analyses for SMEs transitioning to sustainable energy solutions. A mixed-methods approach integrates quantitative financial metrics such as net present value (NPV) and internal rate of return (IRR) with qualitative insights from SME stakeholders. Surveys and interviews were conducted to assess operational savings, investment challenges, and policy impacts. Case studies further illustrate successful adoption models. The results indicate that renewable energy adoption yields substantial operational savings and favorable payback periods, with IRRs averaging above 15%. Social and reputational benefits also drive adoption. However, SMEs face persistent barriers including limited financing, regulatory complexity, and inadequate access to government incentives. The study’s scope is limited to Indonesian SMEs and may not fully generalize across regions or sectors. Future research should expand to include longitudinal data and comparative analyses across ASEAN economies. Policymakers and industry stakeholders are encouraged to develop targeted support mechanisms, including simplified subsidy access and collaborative business models, to facilitate SME engagement in renewable energy transitions. This research offers a comprehensive framework for assessing renewable energy adoption in SMEs, combining financial, social, and policy dimensions. It contributes novel insights into the intersection of sustainability and economic resilience in emerging markets.

References

Adanma, U., & Ogunbiyi, E. (2024). Assessing the economic and environmental impacts of renewable energy adoption across different global regions. Engineering Science & Technology Journal, 5(5), 1767–1793. https://doi.org/10.51594/estj.v5i5.1154

Bacenetti, J. (2020). Economic and environmental impact assessment of renewable energy from biomass. Sustainability, 12(14), 5619. https://doi.org/10.3390/su12145619

Bari, M. S., Islam, S. A. M., Sarkar, A., Khan, A. J. M. O. R., Islam, T., & Paul, R. (2024). Circular economy models in renewable energy: Technological innovations and business viability. International Journal for Multidisciplinary Research, 6(5). https://doi.org/10.36948/ijfmr.2024.v06i05.28495

Buesing, B., & Yang, M. (2013). Business model for local distribution companies to promote renewable energy. Low Carbon Economy, 4(4), 41–54. https://doi.org/10.4236/lce.2013.44a005

Castillo-Calzadilla, T., Garay-Martinez, R., & Martín, C. (2023). Holistic fuzzy logic methodology to assess positive energy district (pathped). Sustainable Cities and Society, 89, 104375. https://doi.org/10.1016/j.scs.2022.104375

Diale, C., Kanakana-Katumba, M., & Maladzhi, R. (2021). Ecosystem of renewable energy enterprises for sustainable development: A systematic review. Advances in Science Technology and Engineering Systems Journal, 6(1), 401–408. https://doi.org/10.25046/aj060146

Erdiwansyah, E., Gani, A., Mamat, R., Nizar, M., Yana, S., Rosdi, S., Sardjono, R., & Satria, A. (2023). The business model for access to affordable RE on economic, social, and environmental value: A review. Geomatics and Environmental Engineering, 17(5), 5–43. https://doi.org/10.7494/geom.2023.17.5.5

Ghiani, E., Trevisan, R., Rosetti, G., Olivero, S., & Barbero, L. (2022). Energetic and economic performances of the energy community of Magliano Alpi after one year of piloting. Energies, 15(19), 7439. https://doi.org/10.3390/en15197439

Gsodam, P., Rauter, R., & Baumgartner, R. (2015). The renewable energy debate: How Austrian electric utilities are changing their business models. Energy Sustainability and Society, 5(1). https://doi.org/10.1186/s13705-015-0056-6

Lacerda, A. L. M., Rocha, P. A. C., Leão, R. S., Leão, T. M., & Brandão, D. A. (2020). Microgeneration of wind energy for micro and small businesses: Application of ANN in sensitivity analysis for stochastic economic feasibility. IEEE Access, 8, 78248–78262. https://doi.org/10.1109/access.2020.2988593

Lee, J., & Yu, J. (2019). Heterogeneous energy consumption behavior by firm size: Evidence from Korean environmental regulations. Sustainability, 11(11), 3226. https://doi.org/10.3390/su11113226

Makki, A., & Mosly, I. (2020). Factors affecting public willingness to adopt renewable energy technologies: An exploratory analysis. Sustainability, 12(3), 845. https://doi.org/10.3390/su12030845

Moore, C. (2024). Renewable energy adoption and its effect on rural development in the United States. Journal of Developing Country Studies, 8(2), 15–31. https://doi.org/10.47604/jdcs.2674

Oguanobi, V., & Joel, O. (2024). Scalable business models for startups in renewable energy: Strategies for using GIS technology to enhance SME scaling. Engineering Science & Technology Journal, 5(5), 1571–1587. https://doi.org/10.51594/estj.v5i5.1109

Prilandita, N., Sagala, S., Azhari, D., & Habib, A. (2022). Rural renewable energy development: Lessons learned from community-based renewable energy business model in East Sumba, Indonesia. IOP Conference Series: Earth and Environmental Science, 1015(1), 012017. https://doi.org/10.1088/1755-1315/1015/1/012017

Prokopenko, O., Kurbatova, T., Khalilova, M., Zerkal, A., Prause, G., Binda, J., & Komarnitskyi, I. (2023). Impact of investments and R&D costs in renewable energy technologies on companies’ profitability indicators: Assessment and forecast. Energies, 16(3), 1021. https://doi.org/10.3390/en16031021

Rozon, F., McGregor, C., & Owen, M. (2023). Long-term forecasting framework for renewable energy technologies’ installed capacity and costs for 2050. Energies, 16(19), 6874. https://doi.org/10.3390/en16196874

Shaqe, A. (2025). Diffusion of innovation of RET’s renewable energy technologies in transition economies using diffusion models. https://doi.org/10.21203/rs.3.rs-5799113/v1

Wall, W., Khalid, B., Urbański, M., & Kot, M. (2021). Factors influencing consumer’s adoption of renewable energy. Energies, 14(17), 5420. https://doi.org/10.3390/en14175420

Yu, F., Guo, Y., Le‐Nguyen, K., Barnes, S., & Zhang, W. (2016). The impact of government subsidies and enterprises’ R&D investment: A panel data study from renewable energy in China. Energy Policy, 89, 106–113. https://doi.org/10.1016/j.enpol.2015.11.009

Downloads

Published

2025-08-08