The transition from exhaustible to renewable resources: Investigating the dynamic effect of natural resources and monetary liquidity on consumption of renewable energy
DOI:
https://doi.org/10.12928/optimum.v16i1.15166Keywords:
Renewable Energy Consumption, Monetary Liquidity, Digital Development, Regulatory QualityAbstract
The global shift towards renewable energy is central to climate change mitigation, yet adoption remains uneven, particularly in resource-rich economies where financial liquidity constraints and fossil fuel dependence persist. This study advances the literature by providing a novel integrated analysis of how financial liquidity, digitalisation, and institutional quality jointly shape renewable energy adoption in both resource-abundant and resource-scarce economies. Using a dynamic panel data model, the research examines interactions among financial depth, digital advancements, and institutional quality in 124 economies, showing that good governance and financial policies can convert resource wealth into renewable energy drivers. Results indicate that broad money significantly predicts renewable energy usage, dependent on regulatory frameworks that encourage green investments. The traditional resource curse hypothesis is challenged, demonstrating that strong regulations can utilise natural wealth for sustainable energy transitions. This study contributes new evidence to the renewable energy–finance nexus and suggests that policymakers should focus on financial instruments supporting green initiatives, enhancing digital infrastructure, and enforcing solid governance. Resource-rich countries can maximise their energy potential by aligning monetary policies with sustainability objectives, fostering a cleaner and more sustainable future.
References
Ahn, S. C., & Schmidt, P. (1995). Efficient estimation of models for dynamic panel data. Journal of Econometrics, 68(1), 5-27. https://doi.org/10.1016/0304-4076(94)01641-C
Al-Mulali, U., & Ozturk, I. (2015). The effect of energy consumption, urbanization, trade openness, industrial output, and the political stability on the environmental degradation in the MENA (Middle East and North African) region. Energy, 84, 382-389. https://doi.org/10.1016/j.energy.2015.03.004
Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58. https://doi.org/10.2307/2297968
Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29-51. https://doi.org/10.1016/0304-4076(94)01642-D
Bailey, N., Kapetanios, G., & Pesaran, M. H. (2016). Exponent of cross‐sectional dependence: Estimation and inference. Journal of Applied Econometrics, 31(6), 929-960. https://doi.org/10.1002/jae.2476
Bailey, N., Kapetanios, G., & Pesaran, M. H. (2019). Exponent of cross-sectional dependence for residuals. Sankhya B, 81(S1), 46-102. https://doi.org/10.1007/s13571-019-00196-9
Bhattacharyya, S. C., & Palit, D. (2016). Mini-grid based off-grid electrification to enhance electricity access in developing countries: What policies may be required? Energy Policy, 94, 166-178. https://doi.org/10.1016/j.enpol.2016.04.010
Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115-143. https://doi.org/10.1016/S0304-4076(98)00009-8
Breitung, J. (2000). The local power of some unit root tests for panel data. Advances in Econometrics, 15.
Dauda, M. (2019). Ecological modernization theory and sustainable development dilemmas: Who benefits from technological innovation? The African Review: A Journal of African Politics, Development and International Affairs, 46(1), 68-83.
Fridgen, G., Körner, M.-F., Walters, S., & Weibelzahl, M. (2021). Not all doom and gloom: How energy-intensive and temporally flexible data center applications may actually promote renewable energy sources. Business & Information Systems Engineering, 63(3), 243-256. https://doi.org/10.1007/s12599-021-00686-z
Geels, F. W. (2002). Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study. Research Policy, 31(8-9), 1257-1274. https://doi.org/10.1016/S0048-7333(02)00062-8
Geels, F. W. (2014). Regime resistance against low-carbon transitions: Introducing politics and power into the multi-level perspective. Theory, Culture & Society, 31(5), 21-40. https://doi.org/10.1177/0263276414531627
Gibbs, D. (2000). Ecological modernisation, regional economic development and regional development agencies. Geoforum, 31(1), 9-19. https://doi.org/10.1016/S0016-7185(99)00040-8
Han, Z., Zakari, A., Youn, I. J., & Tawiah, V. (2023). The impact of natural resources on renewable energy consumption. Resources Policy, 83, 103692. https://doi.org/10.1016/j.resourpol.2023.103692
Horky, F., & Fidrmuc, J. (2024). Financial development and renewable energy adoption in EU and ASEAN countries. Energy Economics, 131, 107368. https://doi.org/10.1016/j.eneco.2024.107368
Huber, J. (1985). Die Regenbogen-Gesellschaft: Ökologie und Sozialpolitik. Germany.
IEA. (2019). World energy investment 2019. New York.
Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1). https://doi.org/10.1016/S0304-4076(03)00092-7
IMF. (2020). Enhancing access to opportunities. International Monetary Fund. Washington
IRENA. (2019). A new world. In: The geopolitics of the energy transformation.
Jänicke, M. (2008). Ecological modernisation: new perspectives. Journal of Cleaner Production, 16(5), 557-565. https://doi.org/10.1016/j.jclepro.2007.02.011
Jie, Y., Rasool, Z., Nassani, A. A., Mattayaphutron, S., & Murad, M. (2024). Sustainable Central Asia: Impact of fintech, natural resources, renewable energy, and financial inclusion to combat environmental degradation and achieving sustainable development goals. Resources Policy, 95, 105138. https://doi.org/10.1016/j.resourpol.2024.105138
Kumar, N. (2024). Natural resources and economic growth: Examining the role of globalization, financial development, and digitalization in India. Resources Policy, 97, 105260. https://doi.org/10.1016/j.resourpol.2024.105260
Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1). https://doi.org/10.1016/S0304-4076(01)00098-7
Li, P., Liu, T., Li, J., Ling, F. K., & Li, Z. (2024). Exploring the impact of fintech, natural resources, energy consumption, and international trade on economic growth in China: A dynamic ARDL approach. Resources Policy, 98, 105310. https://doi.org/10.1016/j.resourpol.2024.105310
Markard, J., Raven, R., & Truffer, B. (2012). Sustainability transitions: An emerging field of research and its prospects. Research Policy, 41(6), 955-967. https://doi.org/10.1016/j.respol.2012.02.013
Mol, A. P. J., & Sonnenfeld, D. A. (2000). Ecological modernisation around the world: An introduction. Environmental Politics, 9(1), 1-14. https://doi.org/10.1080/09644010008414510
Mol, A. P. J., & Spaargaren, G. (2000). Ecological modernisation theory in debate: A review. Environmental Politics, 9(1), 17-49. https://doi.org/10.1080/09644010008414511
Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica, 49(6). https://doi.org/10.2307/1911408
Payne, J. E. (2010). A survey of the electricity consumption-growth literature. Applied Energy, 87(3), 723-731. https://doi.org/10.1016/j.apenergy.2009.06.034
Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. University of Cambridge, Faculty of Economics, Cambridge Working Papers in Economics No. 0435. Center for Economic Studies & Ifo Institute for Economic Research CESifo, 1229. https://doi.org/10.2139/ssrn.572504
Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6-10). https://doi.org/10.1080/07474938.2014.956623
Pesaran, M. H. (2021). General diagnostic tests for cross section dependence in panels. SSRN Electronic Journal.
Rakshit, B. (2022). Dynamics between trade openness, FDI and economic growth: evidence from an emerging economy. Journal of International Trade Law and Policy, 21(1). https://doi.org/10.1108/JITLP-01-2021-0004
Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. The Stata Journal: Promoting Communications on Statistics and Stata, 9(1), 86-136. https://doi.org/10.1177/1536867X0900900106
Sadorsky, P. (2009). Renewable energy consumption and income in emerging economies. Energy Policy, 37(10), 4021-4028. https://doi.org/10.1016/j.enpol.2009.05.003
Sadorsky, P. (2011). Financial development and energy consumption in Central and Eastern European frontier economies. Energy Policy, 39(2), 999-1006. https://doi.org/10.1016/j.enpol.2010.11.034
Sovacool, B. K. (2016). How long will it take? Conceptualizing the temporal dynamics of energy transitions. Energy Research & Social Science, 13, 202-215. https://doi.org/10.1016/j.erss.2015.12.020
Sovacool, B. K., & Geels, F. W. (2016). Further reflections on the temporality of energy transitions: A response to critics. Energy Research & Social Science, 22, 232-237. https://doi.org/10.1016/j.erss.2016.08.013
Sovacool, B. K., Martiskainen, M., Hook, A., & Baker, L. (2020). Beyond cost and carbon: The multidimensional co-benefits of low carbon transitions in Europe. Ecological Economics, 169, 106529. https://doi.org/10.1016/j.ecolecon.2019.106529
Usman, M., & Balsalobre-Lorente, D. (2022). Environmental concern in the era of industrialization: Can financial development, renewable energy and natural resources alleviate some load? Energy Policy, 162, 112780. https://doi.org/10.1016/j.enpol.2022.112780
Vatamanu, A. F., & Zugravu, B. G. (2023). Financial development, institutional quality and renewable energy consumption. A panel data approach. Economic Analysis and Policy, 78, 765-775. https://doi.org/10.1016/j.eap.2023.04.015
Wang, L., Huang, J., & Wang, C. (2024). From resource curse to digital economy harmony in selected belt and road countries. Resources Policy, 97, 105282. https://doi.org/10.1016/j.resourpol.2024.105282
Wei, Z., & Nie, C. (2024). The dynamics of natural resources, renewable energy, and financial development on achieving ecological sustainability. Resources Policy, 95, 105093. https://doi.org/10.1016/j.resourpol.2024.105093
Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69, 709-748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
Westerlund, J., & Hosseinkouchack, M. (2016). Modified CADF and CIPS panel unit root statistics with standard chi-squared and normal limiting distributions. Oxford Bulletin of Economics and Statistics, 78(3). https://doi.org/10.1111/obes.12127
Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126(1), 25-51. https://doi.org/10.1016/j.jeconom.2004.02.005
World Bank. (2020). World development indicators data. World Development Indicators, July. Washington.
Xu, S., Zhang, X., & Lee, K.-J. (2024). Channelizing the importance of natural resources and renewable energy for financial development: Resources curse perspective for high growth countries. Resources Policy, 89, 104503. https://doi.org/10.1016/j.resourpol.2023.104503
Yadav, A., Bekun, F. V., Ozturk, I., Ferreira, P. J. S., & Karalinc, T. (2024). Unravelling the role of financial development in shaping renewable energy consumption patterns: Insights from BRICS countries. Energy Strategy Reviews, 54, 101434. https://doi.org/10.1016/j.esr.2024.101434
Yang, X., & Long, L. (2024). Renewable energy transition and its implication on natural resource management for green and sustainable economic recovery. Resources Policy, 89, 104624. https://doi.org/10.1016/j.resourpol.2023.104624
York, R., & Rosa, E. A. (2003). Key challenges to ecological modernization theory: Institutional efficacy, case study evidence, units of analysis, and the pace of eco-efficiency. Organization & Environment, 16(3), 273-288. https://doi.org/10.1177/1086026603256299
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