RENEWABLE ENERGY TRANSITION FOR SUSTAINABLE DEVELOPMENT: A COMPREHENSIVE BIBLIOMETRIC ANALYSIS FOR BUSINESS, MANAGEMENT, AND POLICY RESEARCH TRENDS
DOI:
https://doi.org/10.69980/bh82yf48Keywords:
Renewable energy, Sustainable development, Bibliometric analysis, Energy transition, Energy policy, Business and managementAbstract
The transition to renewable energy cannot be ignored in the pursuit of sustainable development, since energy is recognised as a driver of economic development, industrialisation, and social change. The rapidly growing body of literature is dispersed across various fields, requiring an overview of specific trends in the business, management, and policy domains. The current study is a thorough bibliometric analysis of the academic literature on renewable energy and its role in sustainable development, with a particular focus on business, management, and policy perspectives. Based on the PRISMA 2020 protocol, 3,491 peer-reviewed journal articles published in 1996-2025 were observed in the Scopus and Web of Science databases. The trends in publications, journals with impact, authors, country-specific contributions, collaboration networks, and the evolution of thematic focus were examined using Bibliometric analysis procedures implemented in Biblioshiny (R). The results indicate a rapid increase in research output after 2015, attributable to global climate commitments and the Sustainable Development Goals (SDGs). China, India, and the United States are becoming leading contributors and the dominating countries in the field through interdisciplinary journals. Thematic analysis suggests a shift from technological research to research on policy instruments, governance frameworks, business models, and adoption dynamics. However, the problem of energy justice and equity has not been investigated extensively. It was determined that there are five major thematic areas: adoption drivers, policy incentives, technological innovation, SDG linkages, and inclusivity. The present research clarifies the field's intellectual framework and outlines future research directions to support integrated, inclusive, context-specific renewable energy transitions.
References
1.Adnan, N., Nordin, S. M., Rahman, I., & Rasli, A. M. (2017). A new era of sustainable transport: An experimental examination on forecasting adoption behavior of EVs among Malaysian consumers. Transportation Research Part A: Policy and Practice, 103, 279–295. https://doi.org/10.1016/j.tra.2017.06.005
2.Alhaddi, H. (2015). Triple bottom line and sustainability: A literature review. Business and Management Studies, 1(2), 6–10.
3.Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
4.Arroyo, P., & Carrete, L. (2019). Motivational drivers for the adoption of green energy: The case of purchasing photovoltaic systems. Management Research Review, 42(5), 521–540. https://doi.org/10.1108/MRR-02-2018-0070
5.Bennett, J., Baker, A., Johncox, E., & Nateghi, R. (2020). Characterizing the key predictors of renewable energy penetration for sustainable and resilient communities. Journal of Management in Engineering, 36(5), 04020060. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000767
6.Börner, K., Chen, C., & Boyack, K. W. (2010). Visualizing knowledge domains. Annual Review of Information Science and Technology, 41(1), 1–41. https://doi.org/10.1002/aris.2010.1440410102
7.Brent, A. C. (2021). Renewable energy for sustainable development. Sustainability, 13(12), 6920. https://doi.org/10.3390/su13126920
8.Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics, 22(1), 155–205. https://doi.org/10.1007/BF02019280
9.Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235. https://doi.org/10.1177/053901883022002003
10.Charters, B., Heffernan, T., & Daly, M. (2023). When individual action requires collective approval: A roadmap for solar power adoption by strata property owners. Journal of Social Marketing, 13(1), 100–120. https://doi.org/10.1108/JSOCM-04-2022-0076
11.Choudhary, P., & Srivastava, R. K. (2019). Sustainability perspectives – A review for solar photovoltaic trends and growth opportunities. Journal of Cleaner Production, 227, 589–614. https://doi.org/10.1016/j.jclepro.2019.118184
12.Claudy, M. C., Peterson, M., & O’Driscoll, A. (2013). Understanding the attitude-behavior gap for renewable energy systems using behavioral reasoning theory. Journal of Macromarketing, 33(4), 273–287. https://doi.org/10.1177/0276146713481605
13.Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. https://doi.org/10.1002/asi.21525
14.Collins, L. (1998). Renewable energy from wood and paper: Technological and cultural implications. Technology in Society, 20(2), 157–177. https://doi.org/10.1016/S0160-791X(98)00001-3
15.Daka, E. (2023). Adopting clean technologies to climate change adaptation strategies in Africa: A systematic literature review. Environmental Management, 71, 87–98. https://doi.org/10.1007/s00267-022-01704-w
16.Deo, K., & Prasad, A. (2024). Factors influencing green energy consumer behaviour in Australia. Journal of Cleaner Production, 460, 142609. https://doi.org/10.1016/j.jclepro.2024.142609
17.Dincer, I. (2000). Renewable energy and sustainable development: A crucial review. Renewable and Sustainable Energy Reviews, 4(2), 157–175. https://doi.org/10.1016/S1364-0321(99)00011-8
18.Doğan, B., Khalfaoui, R., Bergougui, B., & Ghosh, S. (2025). Unveiling the impact of the digital economy on the interplay of energy transition, environmental transformation, and renewable energy adoption. Research in International Business and Finance, 76, 102837. https://doi.org/10.1016/j.ribaf.2025.102837
19.Donastorg, A. D., Renukappa, S., & Suresh, S. (2022). Financing renewable energy projects in the Dominican Republic: An empirical study. International Journal of Energy Sector Management, 16(2), 276–300. https://doi.org/10.1108/IJESM-10-2020-0002
20.Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
21.Duroha, J. C., & Macht, G. A. (2023). Solar installation occupational risks: A systematic review. Safety Science, 160, 106048. https://doi.org/10.1016/j.ssci.2022.106048
22.Du, K., Li, P., & Yan, Z. (2019). Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data. Technological Forecasting and Social Change, 146, 297–303. https://doi.org/10.1016/j.techfore.2019.06.010
23.Elmustapha, H., Hoppe, T., & Bressers, H. (2018). Consumer renewable energy technology adoption decision-making: Comparing models on perceived attributes and attitudinal constructs in the case of solar water heaters in Lebanon. Journal of Cleaner Production, 172, 347–357. https://doi.org/10.1016/j.jclepro.2017.10.131
24.Foroudi, P., Marvi, R., Cuomo, M. T., Bagozzi, R., Dennis, C., & Jannelli, R. (2023). Consumer perceptions of SDG: Conceptualization, measurement and contingent effects. British Journal of Management, 34(3), 1157–1183. https://doi.org/10.1111/1467-8551.12637
25.Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178(4060), 471–479. https://doi.org/10.1126/science.178.4060.471
26.Glänzel, W., & Schubert, A. (2004). Analysing scientific networks through co-authorship. In H. F. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of quantitative science and technology research (pp. 257–276). Dordrecht, The Netherlands: Springer.
27.Gómez Gandía, J. A., Gavrila, S., de Lucas Ancillo, A., & del Val Núñez, M. T. (2025). Towards sustainable business in the automation era: Exploring its transformative impact from top management and employee perspective. Technological Forecasting and Social Change, 210, 123908. https://doi.org/10.1016/j.techfore.2024.123908
28.Güney, T. (2019). Renewable energy, non-renewable energy and sustainable development. International Journal of Sustainable Development & World Ecology, 26(5), 389–397. https://doi.org/10.1080/13504509.2019.1595214
29.Gupta, S., Kar, S. K., & Harichandan, S. (2022). India’s emerging fuel mix for 2050: Actions and strategies to decarbonize the transport sector. International Journal of Energy Sector Management, 16(2), 252–275. https://doi.org/10.1108/IJESM-02-2021-0005
30.Guta, D. D. (2020). Determinants of household use of energy-efficient and renewable energy technologies in rural Ethiopia. Technology in Society, 61, 101249. https://doi.org/10.1016/j.techsoc.2020.101249
31.Irfan, M., Yadav, S., & Shaw, K. (2021). The adoption of solar photovoltaic technology among Indian households: Examining the influence of entrepreneurship. Technological Forecasting and Social Change, 173, 120815. https://doi.org/10.1016/j.techfore.2021.120815
32.Islam, M. T. (2023). Newly developed green technology innovations in business: Paving the way toward sustainability. Technological Sustainability. https://doi.org/10.1108/TECHS-02-2023-0008
33.Juhola, S., Laurila, A.-G., Groundstroem, F., & Klein, J. (2023). Climate risks to the renewable energy sector: Assessment and adaptation within energy companies. Business Strategy and the Environment, 33(3), 1906–1919. https://doi.org/10.1002/bse.3580
34.Kajikawa, Y., & Takeda, Y. (2008). Structure of research on biomass and bio-fuels: A citation-based approach. Technological Forecasting and Social Change, 75(9), 1349–1359. https://doi.org/10.1016/j.techfore.2008.04.007
35.Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2014). Examining consumer acceptance of green innovations using innovation characteristics: A conceptual approach. Technological Forecasting and Social Change, 87, 563–572. https://doi.org/10.1016/j.techfore.2013.12.011
36.Kaartemo, V., & Gonzalez-Perez, M. A. (2020). Renewable energy in international business. Critical Perspectives on International Business, 16(4), 341–355. https://doi.org/10.1108/cpoib-08-2019-0062
37.Kesari, B., Atulkar, S., & Pandey, S. (2021). Consumer purchasing behaviour towards eco-environment residential photovoltaic solar lighting systems. Global Business Review, 22(6), 1514–1532. https://doi.org/10.1177/0972150918795550
38.Kumar, C. R. J., & Majid, M. A. (2020). Renewable energy for sustainable development in India: Current status, prospects, challenges, employment, and investment opportunities. Energy, Sustainability and Society, 10, 2. https://doi.org/10.1186/s13705-019-0232-1
39.Li, H. X., Edwards, D. J., Hosseini, M. R., & Costin, G. P. (2020). A review on renewable energy transition in Australia: An updated depiction. Journal of Cleaner Production, 242, 118475. https://doi.org/10.1016/j.jclepro.2019.118475
40.Llach, J., Palau-Pinyana, E., Lei, L., & Perramon, J. (2025). Key enablers for energy firms in implementing the SDGs: Lessons based on a resource-based view approach. Technological Forecasting and Social Change, 213, 124011. https://doi.org/10.1016/j.techfore.2025.124011
41.Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317–323.
42.Lucchi, E., Turati, F., Colombo, B., & Schito, E. (2024). Climate-responsive design practices: A transdisciplinary methodology for achieving SDG in cultural and natural heritage. Journal of Cleaner Production, 457, 142431. https://doi.org/10.1016/j.jclepro.2024.142431
43.Marco-Lajara, B., Martínez-Falcó, J., Sánchez-García, E., & Millan-Tudela, L. A. (2023). Analyzing the role of renewable energy in meeting the SDG: A bibliometric analysis. Energies, 16(7), 3137. https://doi.org/10.3390/en16073137
44.Mishra, R., Naik, B. K. R., & Raut, R. D. (2024). Empowering sustainability: Understanding the users’ perceptions on the adoption of renewable energy technologies (RETs) through a systematic literature review. Journal of Indian Business Research, 16(4), 434–451. https://doi.org/10.1108/JIBR-05-2023-0164
45.Naicker, P., & Thopil, G. A. (2019). A framework for sustainable utility scale renewable energy selection in South Africa. Journal of Cleaner Production, 231, 854–865. https://doi.org/10.1016/j.jclepro.2019.03.257
46.Nakićenović, N. (1999). Energy perspectives into the next millennium: From resource scarcity to decarbonization. Technological Forecasting and Social Change, 62(2–3), 101–106. https://doi.org/10.1016/S0040-1625(99)00043-8
47.Newman, M. E. J. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2), 404–409. https://doi.org/10.1073/pnas.98.2.404
48.Owusu, P. A., & Asumadu-Sarkodie, S. (2016). A review of RES, sustainability issues and climate change mitigation. Cogent Engineering, 3(1), 1167990. https://doi.org/10.1080/23311916.2016.1167990
49.Paananen, A., & Mäkinen, S. J. (2013). Bibliometrics-based foresight on renewable energy production. Foresight, 15(6), 465–476. https://doi.org/10.1108/FS-10-2012-0080
50.Prete, M. I., Piper, L., De Guido, M., & Cerqua, A. (2017). Determinants of Southern Italian households’ intention to adopt energy efficiency measures in residential buildings. Journal of Cleaner Production, 153, 83–91. https://doi.org/10.1016/j.jclepro.2017.03.142
51.Price, D. J. de Solla. (1963). Little science, big science. New York, NY: Columbia University Press.
52.Price, D. J. de Solla. (1965). Networks of scientific papers. Science, 149(3683), 510–515. https://doi.org/10.1126/science.149.3683.510
53.Radomes, A. A., Jr., & Arango, S. (2015). Renewable energy technology diffusion: An analysis of photovoltaic-system support schemes in Medellín, Colombia. Journal of Cleaner Production, 92, 152–161. https://doi.org/10.1016/j.jclepro.2014.12.062
54.Rezk, H., Olabi, A. G., Mahmoud, M., Wilberforce, T., & Sayed, E. T. (2024). Metaheuristics and multi-criteria decision-making for renewable energy systems: Review, progress, bibliometric analysis, and contribution to the sustainable development pillars. Ain Shams Engineering Journal, 15, 102883. https://doi.org/10.1016/j.asej.2024.102883
55.Reyes-Mercado, P., & Rajagopal. (2017). Adoption of renewable energy technologies in Mexico: The role of cognitive factors and innovation attributes. International Journal of Energy Sector Management, 11(4), 626–645. https://doi.org/10.1108/IJESM-09-2016-0003
56.Sharifi, M., Khazaei Pool, J., Jalilvand, M. R., Tabaeeian, R. A., & Jooybari, M. G. (2019). Forecasting of advertising effectiveness for renewable energy technologies: A neural network analysis. Technological Forecasting and Social Change, 142, 40–53. https://doi.org/10.1016/j.techfore.2019.04.009
57.Shi, Q., & Lai, X. (2013). Identifying the underpin of green and low carbon technology innovation research: A literature review from 1994 to 2010. Technological Forecasting and Social Change, 80(5), 839–864. https://doi.org/10.1016/j.techfore.2012.09.006
58.Shi, Y., Ding, L., He, C., Zhang, F., Zhang, Z., & Dai, Q. (2022). Do village leaders’ engagement, social interaction and financial incentive affect residents’ solar PV adoption? An empirical study in rural China. International Journal of Energy Sector Management, 16(2), 383–404. https://doi.org/10.1108/IJESM-02-2021-0027
59.Sotnyk, I., Kurbatova, T., Kubatko, O., Prokopenko, O., & Järvis, M. (2023). Managing energy efficiency and renewable energy in the residential sector: A bibliometric study. Problems and Perspectives in Management, 21(3), 511–527. https://doi.org/10.21511/ppm.21(3).2023.41
60.Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. https://doi.org/10.1002/asi.4630240406
61.Smith, C. (1998). The science of energy – a cultural history of energy physics in Victorian Britain. The University of Chicago Press. ISBN 978-0-226-76420-7
62.Stern, D. I., & Kander, A. (2012). The role of energy in the Industrial Revolution and modern economic growth. The Energy Journal, 33(3), 125–152. https://doi.org/10.5547/01956574.33.3.5
63.Sharma, N. (2021). Public perceptions towards adoption of residential Solar Water Heaters in USA: A case study of Phoenicians in Arizona. Journal of Cleaner Production, 316, 128891. https://doi.org/10.1016/j.jclepro.2021.128891
64.Sheikh, N. J., Kocaoglu, D. F., & Lutzenhiser, L. (2016). Social and political impacts of renewable energy: Literature review. Technological Forecasting and Social Change, 108, 102–110. https://doi.org/10.1016/j.techfore.2016.04.018
65.Tahamtan, I., Safipour Afshar, A., & Ahamdzadeh, K. (2016). Factors affecting number of citations: A comprehensive review of the literature. Scientometrics, 107(3), 1195–1225. https://doi.org/10.1007/s11192-016-1889-2
66.United Nations. (1987). Our Common Future (Brundtland Report). Oxford University Press.
67.United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development. New York, NY: United Nations.
68.Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
69.Wang, Z., Zhang, B., & Li, S. (2013). Renewable energy consumption, economic growth and CO₂ emissions: A dynamic panel data analysis for China. Energy Policy, 60, 28–37. https://doi.org/10.1016/j.enpol.2013.05.063
70.Waris, I., Hameed, I., & Ali, R. (2023). Predicting household sign-up for solar energy: An empirical study based on the extended theory of planned behavior. International Journal of Energy Sector Management, 17(2), 336–355. https://doi.org/10.1108/IJESM-06-2021-0010
71.Wagner, C. S., & Leydesdorff, L. (2005). Network structure, self-organization, and the growth of international collaboration in science. Research Policy, 34(10), 1608–1618. https://doi.org/10.1016/j.respol.2005.08.002
72.Wagner, M., Schaltegger, S., & Wehrmeyer, W. (2011). The sustainability balanced scorecard as a framework for eco-efficiency analysis. Journal of Cleaner Production, 19(10), 1046–1057. https://doi.org/10.1016/j.jclepro.2011.02.020
73.Yazdi, A. K., Tan, Y. A., Birau, R., Frank, D., & Pamučar, D. (2024). Sustainable solutions: Using MCDM to choose the best location for green energy projects. International Journal of Energy Sector Management. https://doi.org/10.1108/IJESM-01-2024-0005
74.Yun, S., & Lee, J. (2015). Advancing societal readiness toward renewable energy system adoption with a socio-technical perspective. Technological Forecasting and Social Change, 95, 170–181. https://doi.org/10.1016/j.techfore.2015.01.016
75.Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629



