BEYOND SUNLIGHT: HOW CO2 EMISSIONS, COAL LOCK-IN, AND GLOBAL FINANCE SHAPE AUSTRALIA’S SOLAR ENERGY CONSUMPTION - AN ARDL ANALYSIS WITH ROBUSTNESS CHECKS

Autori

  • Soumaya Hechmi Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

DOI:

https://doi.org/10.2478/eoik-2025-0095

Ključne reči:

Solar energy consumption, coal consumption, financial globalization, CO2 emissions, population growth, economic growth, climate policy, Australia

Apstrakt

This study examines the determinants of solar energy adoption in
Australia between 1991 and 2023 using an Autoregressive Distributed

Lag (ARDL) model. The results reveal long-run equilibrium relation-
ships and short-run adjustment mechanisms between solar deploy-
ment and the most pertinent economic, environmental, and financial

factors. The results reveal some significant findings. First, financial
globalization shows a strong negative long-run effect on Solar Energy
Consumption. (SEC), suggesting that international capital flows have

previously endorsed fossil fuel systems rather than renewable transi-
tions. Second, coal consumption illustrates a strong negative effect,

confirming path dependency challenges. Thirdly, while CO2 emis-
sions and GDP per capita have a positive effect on SEC, population

growth has a negative relationship, suggesting that urbanization may
precede the establishment of renewable infrastructure. The study’s
policy implications underscore three strategic priorities: accelerating

the transition away from coal and toward clean energy systems, trans-
forming financial markets to encourage green investment, and chan-
neling economic growth to build sustainable energy infrastructure.

These are the proposals that have been advocated to address structural
challenges for Australia’s energy transition while taking advantage
of the strengths that have been built. The research presents empirical
evidence for integrated policy strategies in orchestrating economic
development and decarbonization goals within resource endowments.

Reference

Australian Bureau of Statistics. (2022-23). Regional population. ABS. https://www.abs.gov.au/statis-

tics/people/population/regional-population/2022-23

Australian Energy Market Operator (AEMO). (2024). 2024 integrated system plan. https://aemo.com.

au/-/media/files/major-publications/isp/2024/2024-integrated-system-plan-isp.pdf?la=en

Australian Government. (2023). Critical Minerals Strategy 2023–2030. https://www.industry.gov.au/

publications/critical-minerals-strategy-2023-2030

Australian Government Department of the Treasury. (2023). Sustainable finance strategy. https://trea-

sury.gov.au/sites/default/files/2023-11/c2023-456756.pdf

Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression

relationships over time. Journal of the Royal Statistical Society Series B: Statistical Methodol-

ogy, 37(2), 149-163.https://doi.org/10.1111/j.2517-6161.1975.tb01532.x

Burke, M. J., & Stephens, J. C. (2018). Political power and renewable energy futures: A critical re-

view. Energy research & social science, 35, 78-93. https://doi.org/10.1016/j.erss.2017.10.018

Burns, K., & Mountain, B. (2021). Do households respond to time-of-use tariffs? Evidence from Austra-

lia. Energy Economics, 95, 105070. https://doi.org/10.1016/j.eneco.2020.105070

Carley, S., Davies, L. L., Spence, D. B., & Zirogiannis, N. (2018). Empirical evaluation of the strin-

gency and design of renewable portfolio standards. Nature Energy, 3(9), 754-763. https://doi.

org/10.1038/s41560-018-0202-4

Clean Energy Council. (2022). Clean energy Australia report 2022. https://assets.cleanenergycouncil.org.

au/documents/resources/reports/clean-energy-australia/clean-energy-australia-report-2022.pdf

Clean Energy Council. (2023). Clean Energy Australia Report 2023. https://cleanenergycouncil.org.au/

cec/media/background/resources/clean-energy-australia-report-2023_1.pdf

Darvishi, H., & Varedi, S. (2018). Assessment of the contemporaneous impacts of GDP and renewable

energy consumption, applying the dynamic panel data: Evidence from developed countries. In-

ternational Journal of Energy Economics and Policy, 8(1), 159-166. https://www.econjournals.

com/index.php/ijeep/article/view/5995

Derouez, F. (2025). Technological Advancements and Economic Growth as Key Drivers of Renewable

Energy Production in Saudi Arabia: An ARDL and VECM Analysis. Energies, 18(9), 2177.

https://doi.org/10.3390/en18092177

Garnaut, R. (2021). Reset: Restoring Australia after the pandemic recession. Black Inc. https://books.goo-

gle.com.sa/books?hl=fr&lr=&id=93nnDwAAQBAJ&oi=fnd&pg=PT9&dq=Reset:+Restor-

ing+Australia+after+the+pandemic+recession.+Black+Inc.&ots=auIw306V2r&sig=oNBpUR-

IOcqpjfI6rkIDcw-omkD8&redir_esc=y#v=onepage&q&f=false

Graham, P., Hayward, J., Foster, J., & Havas, L. (2022). GenCost 2021-22: final report. Retrieved from

Australia: https://www.csiro.au/en/news/All/News/2022/July/GenCost-2022

Hechmi, S. (2025). Renewable energy dynamics in Southeast Asia: Analyzing the impact of CO2 emis-

sions, geopolitical risk, tourism, and GDP through FMOLS and CCR estimation approach. In-

ternational Journal of Innovative Research and Scientific Studies, 8(2), 4278–4288. https://doi.

org/10.53894/ijirss.v8i2.6279

Hunady, J., Demeova, E., Chylakova, V. (2025). The Role of Digital Skills and Digitalization in En-

hancing Labour Productivity in the EU. COLLECTION OF PAPERS NEW ECONOMY, 3(1),

-45. https://doi.org/10.61432/CPNE0301033h

Idris, A., & Razak, A. R. (2025). Energy transition, green growth and emission on economic growth

using spline approach: Evidence from Asia-pasific countries. Economics - Innovative and Eco-

nomics Research Journal, 13(2), 139–159. https://doi.org/10.2478/eoik-2025-0034

International Renewable Energy Agency (IRENA). (2024). World Energy Transitions Outlook 2023:

Achieving the 1.5° C Goal. United Arab Emirates. https://coilink.org/20.500.12592/4n7kctb

Beyond Sunlight: How CO2 Emissions, Coal Lock-In, and Global Finance Shape Australia’s Solar Energy

Consumption - An ARDL Analysis with Robustness Checks

Jeon, H. (2022). CO2 emissions, renewable energy and economic growth in the US. The Electricity

Journal, 35(7), 107170. https://doi.org/10.1016/j.tej.2022.107170

Karlilar, S., & Emir, F. (2023). Exploring the role of coal consumption, solar, and wind power generation

on ecological footprint: evidence from India using Fourier ADL cointegration test. Environmental

Science and Pollution Research, 30(9), 24077-24087. https://doi.org/10.1007/s11356-022-23910-z

Kilian, L., & Vigfusson, R. J. (2011). Are the responses of the US economy asymmetric in energy price

increases and decreases?. Quantitative Economics, 2(3), 419-453. https://doi.org/10.3982/QE99

Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate

models. Journal of econometrics, 74(1), 119-147. https://doi.org/10.1016/0304-4076(95)01753-4

Li, Z. (2024). Solar Energy Adoption on Local Economic Growth: A Linear Regression Study. Highlights

in Business, Economics and Management, 24, 263-271. https://doi.org/10.54097/qzwgh458

Lütkepohl, H. (2005). New introduction to multiple time series analysis. Springer Science & Business

Media. https://doi.org/10.1007/978-3-540-27752-1

Luo, J., Yang, H., Zhang, L., Liu, H., Wang, Y., & Hao, C. (2024). A comparative study on the combi-

nation of life cycle assessment and ecological footprints: solar photovoltaic power generation

vs. coal power generation in Ningxia. Frontiers in Energy Research, 12, 1375820. https://doi.

org/10.3389/fenrg.2024.1375820

Majeed, A., Ahmad, M., Rasheed, M. F., Khan, M. K., Popp, J., & Oláh, J. (2022). The dynamic impact

of financial globalization, environmental innovations and energy productivity on renewable en-

ergy consumption: evidence from advanced panel techniques. Frontiers in Environmental Sci-

ence, 10, 894857. https://doi.org/10.3389/fenvs.2022.894857

Nelson, T., Nolan, T., & Gilmore, J. (2025). Effective policy to achieve the Australian Government’s

commitment to 82 per cent renewable energy by 2030. Australasian Journal of Environmental

Management, 1-24. https://doi.org/10.1080/14486563.2024.2442623

Nurgaliuly, A., & Smagulova, S. (2025). Economic assessment of energy security of the regions of

Kazakhstan. Economics - Innovative and Economics Research Journal, 13(2), 223–243. https://

doi.org/10.2478/eoik-2025-0038

Park, J. Y. (1992). Canonical cointegrating regressions. Econometrica: Journal of the Econometric So-

ciety, 119-143. https://doi.org/10.2307/2951679

Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate mod-

els. Economics letters, 58(1), 17-29. https://doi.org/10.1016/S0165-1765(97)00214-0

Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level re-

lationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616

Phillips, P. C., & Hansen, B. E. (1990). Statistical inference in instrumental variables regression with I

(1) processes. The review of economic studies, 57(1), 99-125. https://doi.org/10.2307/2297545

Rai, V., & Robinson, S. A. (2015). Agent-based modeling of energy technology adoption: Empirical in-

tegration of social, behavioral, economic, and environmental factors. Environmental Modelling

& Software, 70, 163-177. https://doi.org/10.1016/j.envsoft.2015.04.014

Ruslan, R. A. M., Rashid, I. M. A., Shafiai, S., Fianto, B. A., & Yusof, A. M. (2025). The relationship be-

tween Islamic microfinancing, energy supply adequacy and performance of agriculture micro-

enterprises. ECONOMICS - Innovative and Economics Research Journal, 13(2), 55–69. https://

doi.org/10.2478/eoik-2025-0030

Saikkonen, P. (1991). Asymptotically efficient estimation of cointegration regressions. Econometric the-

ory, 7(1), 1-21. https://doi.org/10.1017/S0266466600004217

Serrano-Sanchez, C., Olmeda-Delgado, M., & Petrakopoulou, F. (2019). Exergy and economic evalua-

tion of a hybrid power plant coupling coal with solar energy. Applied Sciences, 9(5), 850. https://

doi.org/10.3390/app9050850

Shrimali, G., & Kniefel, J. (2011). Are government policies effective in promoting deployment of renewable

electricity resources?. Energy Policy, 39(9), 4726-4741. https://doi.org/10.1016/j.enpol.2011.06.055

Hechmi S. / Economics - Innovative and Economics Research Journal, doi: 10.2478/eoik-2025-0095

Shukla, P. R., Skea, J., Slade, R., Al Khourdajie, A., van Diemen, R., McCollum, D., ... & Malley, J.

(2022). Climate change 2022: Mitigation of climate change. Contribution of working group

III to the sixth assessment report of the Intergovernmental Panel on Climate Change, 10,

http://dx.doi.org/10.1017/9781009157926

Simshauser, P. (2018). On intermittent renewable generation & the stability of Australia’s National Elec-

tricity Market. Energy Economics, 72, 1-19. https://doi.org/10.1016/j.eneco.2018.02.006

Singh, S., Bansal, P., & Bhardwaj, N. (2022). A study on nexus between renewable energy and fossil fuel con-

sumption in commercial sectors of United States using wavelet coherence and quantile-on-quantile

regression. Frontiers in Energy Research, 10, 848301. https://doi.org/10.3389/fenrg.2022.848301

Solaymani, S. (2022). CO2 emissions and the transport sector in Malaysia. Frontiers in Environmental

Science, 9, 774164. https://doi.org/10.3389/fenvs.2021.774164

Steffen, W., Mallon, K., Kompas, T., Dean, A., & Rice, M. (2019). Compound Costs: How climate

change is damaging Australia’s economy. Climate Council of Australia. https://www.climate-

council.org.au/wp-content/uploads/2019/05/costs-of-climate-change-report-v2.pdf

Sun, Z., Zhang, X., & Gao, Y. (2023). The impact of financial development on renewable energy con-

sumption: A multidimensional analysis based on global panel data. International journal of

environmental research and public health, 20(4), 3124. https://doi.org/10.3390/ijerph20043124

Tudor, C., & Sova, R. (2021). On the impact of GDP per capita, carbon intensity and innovation for

renewable energy consumption: worldwide evidence. Energies, 14(19), 6254. https://doi.

org/10.3390/en14196254

Vardar, S., Demirel, B., & Onay, T. T. (2022). Impacts of coal-fired power plants for energy generation

on environment and future implications of energy policy for Turkey. Environmental Science and

Pollution Research, 29(27), 40302-40318. https://doi.org/10.1007/s11356-022-19786-8

Vo, D. H., & Vo, A. T. (2021). Renewable energy and population growth for sustainable development

in the Southeast Asian countries. Energy, Sustainability and Society, 11(1), 30. https://doi.

org/10.1186/s13705-021-00304-6

Wang, X., Xu, Z., Qin, Y., & Skare, M. (2023). The global impact of financial development on renewable

energy in a panel structural vector autoregression analysis. Sustainable Development, 31(3),

-1383. https://doi.org/10.1002/sd.2453

Wu, L., & Broadstock, D. C. (2015). Does economic, financial and institutional development matter

for renewable energy consumption? Evidence from emerging economies. International Jour-

nal of Economic Policy in Emerging Economies, 8(1), 20-39. https://doi.org/10.1504/IJE-

PEE.2015.068246

Yang, J., Zhang, W., & Zhang, Z. (2016). Impacts of urbanization on renewable energy consump-

tion in China. Journal of Cleaner Production, 114, 443-451. https://doi.org/10.1016/j.jcle-

pro.2015.07.158

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Objavljeno

2025-12-01