1
Department of Economics, Hakkari University, Hakkari, 30000, Türkiye
Abstract
Environmental (ENV) concerns now occupy a central position in policy agendas alongside countries’ economic objectives. Achieving the Sustainable Development Goals (SDGs), with a particular focus on affordable and clean energy, requires redirecting investments toward clean energy technologies and scaling them effectively. This study assesses ENV sustainability in Germany through the Load Capacity Factor (LCF) and investigates the technology and innovation dimension of the energy transition by integrating energy-type-specific R&D budgets (fossil, renewable, and nuclear) with demographic ageing dynamics. The analysis utilizes annual data for 1974–2023, including LCF, GDP, fossil/REN/NUC energy R&D expenditures, and the population aged 65 and over, and examines both long- and short-run relationships using the ARDL bounds testing approach and an error correction model (ECM). The results confirm the existence of a long-run cointegration relationship among the variables and indicate that GDP significantly reduces LCF in the long run. Similarly, fossil energy R&D exerts a negative effect on LCF, and population ageing is found to weaken ecological sustainability. In contrast, REN and NUC energy R&D expenditures significantly increase LCF, suggesting that clean energy innovation functions as a reinforcing channel for ecological balance. Accordingly, the findings imply the gradual reduction of fossil-oriented R&D and incentives, the expansion of REN and NUC R&D funding, and the management of ageing-induced health and care demand in alignment with green transition standards.
Keywords
Load Capacity Factor,Nuclear and renewable R&D,Population aged,ARDL
How to Cite
Polat, I. H. (2026). Reassessing Germany’s energy transition: The role of energy R&D and population ageing in shaping the load capacity factor. International Journal of Eurasia Social Sciences, 17(64), 504–519. https://doi.org/10.70736/ijoess.2300
📄Abdi, A. H., Farah, S. O., & Mohamed, A. A. (2025). Dynamic and nonlinear effects of material footprints and raw material exports on load capacity factor: Do ICT and foreign direct investment matter? Journal of Cleaner Production, 534, 146997. [Crossref]
📄Akyüz, E. (2017). Advantages and disadvantages of nuclear energy in Turkey: Public perception. Eurasian Journal of Environmental Research, 1(1), 1–11. https://izlik.org/JA85ZN72KU
📄Alam, I., & Quazi, R. (2003). Determinants of capital flight: An econometric case study of Bangladesh. International Review of Applied Economics, 17(1), 85–103. [Crossref]
📄Ali, E. B., Opoku-Mensah, E., Ofori, E. K., & Agbozo, E. (2023). Load capacity factor and carbon emissions: Assessing environmental quality among MINT nations through technology, debt, and green energy. Journal of Cleaner Production, 428, 139282. [Crossref]
📄Alvarado, R., Tillaguango, B., Dagar, V., Ahmad, M., Işık, C., Méndez, P., … et al. (2021). Ecological footprint, economic complexity and natural resources rents in Latin America: Empirical evidence using quantile regressions. Journal of Cleaner Production, 318, 128585. [Crossref]
📄Apergis, N., Alam, M. S., Paramati, S. R., & Fang, J. (2021). The impacts of R&D investment and stock markets on clean‐energy consumption and CO₂ emissions in OECD economies. International Journal of Finance & Economics, 26(4), 4979–4992. [Crossref]
📄Aslan, M. (2025). Türkiye’de çevresel sürdürülebilirliği artırmada yenilenemeyen enerji verimliliğinin rolü, EKC ve LCC hipotezleri: Kesirli Fourier ARDL yaklaşımı ile bulgular. Sosyoekonomi, 33(64), 493–518. [Crossref]
📄Bahmani-Oskooee, M. M., & Goswami, G. G. (2003). A disaggregated approach to test the J-curve phenomenon: Japan versus her major trading partners. Journal of Economics and Finance, 27(1), 102-113. [Crossref]
📄Banerjee, A., Dolado, J., & Mestre, R. (1998). Error‐correction mechanism tests for cointegration in a single‐equation framework. Journal of Time Series Analysis, 19(3), 267–283. [Crossref]
📄Bekun, F. V. (2024). Race to carbon neutrality in South Africa: What role does environmental technological innovation play? Applied Energy, 354, 122212. [Crossref]
📄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 Methodology), 37(2), 149–163. [Crossref]
📄Chen, C. C. (2024). Comparative impacts of energy sources on environmental quality: A five-decade analysis of Germany's Energiewende. Energy Reports, 11, 3550-3561. [Crossref]
📄Churchill, S. A., Inekwe, J., Smyth, R., & Zhang, X. (2019). R&D intensity and carbon emissions in the G7: 1870–2014. Energy Economics, 80, 30-37. [Crossref]
📄Çamkaya, S., Kaya, Y., & Karabayir, M. E. (2025). Do renewable and nuclear R&D expenditures affect environmental quality in France? An assessment from the perspective of the LCC hypothesis and SDGs. Energy, 320, 135179. [Crossref]
📄Deng, S., Tiwari, S., Khan, S., Hossain, M. R., & Chen, R. (2024). Investigating the load capacity curve (LCC) hypothesis in leading emitter economies: Role of clean energy and energy security for sustainable development. Gondwana Research, 128, 283-297. [Crossref]
📄Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society, 1057-1072. [Crossref]
📄Dogan, A., & Pata, U. K. (2022). The role of ICT, R&D spending and renewable energy consumption on environmental quality: Testing the LCC hypothesis for G7 countries. Journal of Cleaner Production, 380, 135038. [Crossref]
📄Dong, K., Sun, R., Jiang, H., & Zeng, X. (2018). CO2 emissions, economic growth, and the environmental Kuznets curve in China: what roles can nuclear energy and renewable energy play? Journal of cleaner Production, 196, 51-63. [Crossref]
📄Eriçok, R. E., & Yılancı, V. (2013). Eğitim harcamaları ve ekonomik büyüme ilişkisi: Sınır testi yaklaşımı. Bilgi Ekonomisi ve Yönetimi Dergisi, 8(1), 87–101. https://izlik.org/JA94TN69FR
📄Galli, A. (2015). On the rationale and policy usefulness of ecological footprint accounting: The case of Morocco. Environmental Science & Policy, 48, 210–224. [Crossref]
📄Graham, E., Fulghum, N., & Altieri, K. (2025). Global electricity review 2025. Ember.
📄Granger, C. W. J., & Newbold, P. (1974). Spurious regressions in econometrics. Journal of Econometrics, 2(2), 111–120. [Crossref]
📄Gujarati, D. N. (2004). Basic econometrics (4th ed., pp. 814–818). McGraw-Hill
📄Hakkak, M., Altintaş, N., & Hakkak, S. (2023). Exploring the relationship between nuclear and renewable energy usage, ecological footprint, and load capacity factor: A study of the Russian Federation testing the EKC and LCC hypothesis. Renewable Energy Focus, 46, 356-366. [Crossref]
📄Hao, L. N., Umar, M., Khan, Z., & Ali, W. (2021). Green growth and low carbon emission in G7 countries: How critical the network of environmental taxes, renewable energy and human capital is? Science of the Total Environment, 752, 141853. [Crossref]
📄Heal, G. (2010). Reflections—the economics of renewable energy in the United States. Review of Environmental Economics and Policy, 4(1), 139-154. [Crossref]
📄Jalal, M. M. (2025). Energy demand, financial access, and urbanization as determinants of the load capacity factor: Fresh evidence from the United States. International Journal of Business and Economic Studies, 7(4), 272–285. [Crossref]
📄Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2), 169–210. [Crossref]
📄Kartal, M. T. (2022). The role of consumption of energy, fossil sources, nuclear energy, and renewable energy on environmental degradation in top-five carbon producing countries. Renewable Energy, 184, 871–880. [Crossref]
📄Kartal, M. T., Pata, U. K., Destek, M. A., & Çağlar, A. E. (2023). Environmental effect of clean energy research and development investments: Evidence from Japan by using load capacity factor. Journal of Cleaner Production, 416, 137972. [Crossref]
📄Li, S., Wang, Q., & Li, R. (2024). How aging impacts environmental sustainability—Insights from the effects of social consumption and labor supply. Humanities and Social Sciences Communications, 11(1), 1–16. [Crossref]
📄Menz, T., & Welsch, H. (2012). Population aging and carbon emissions in OECD countries: Accounting for life-cycle and cohort effects. Energy Economics, 34(3), 842–849. [Crossref]
📄Narayan, P. K. (2005). The saving and investment nexus for China: Evidence from cointegration tests. Applied Economics, 37(17), 1979–1990. [Crossref]
📄Narayan, P. K., & Narayan, S. (2005). Estimating income and price elasticities of imports for Fiji in a cointegration framework. Economic Modelling, 22(3), 423–438. [Crossref]
📄Narayan, P. K., & Smyth, R. (2005). Electricity consumption, employment and real income in Australia: Evidence from multivariate Granger causality tests. Energy Policy, 33(9), 1109–1116. [Crossref]
📄Narayan, P. K., & Smyth, R. (2006). What determines migration flows from low-income to high-income countries? An empirical investigation of Fiji–U.S. migration, 1972–2001. Contemporary Economic Policy, 24(2), 332–342. [Crossref]
📄Nathaniel, S. P., Yalçiner, K., & Bekun, F. V. (2021). Assessing the environmental sustainability corridor: Linking natural resources, renewable energy, human capital, and ecological footprint in BRICS. Resources Policy, 70, 101924. [Crossref]
📄Newey, W. K., & West, K. D. (1987). Hypothesis testing with efficient method of moments estimation. International Economic Review, 28(3), 777–787. [Crossref]
📄Nguyen, K. H., & Kakinaka, M. (2019). Renewable energy consumption, carbon emissions, and development stages: Some evidence from panel cointegration analysis. Renewable Energy, 132, 1049–1057. [Crossref]
📄Özbek, S., & Naimoğlu, M. (2025). The effectiveness of renewable energy technology under the EKC hypothesis and the impact of fossil and nuclear energy investments on the UK's ecological footprint. Energy, 322, 135351. [Crossref]
📄Özcan, B., & Ulucak, R. (2021). An empirical investigation of nuclear energy consumption and carbon dioxide (CO₂) emission in India: Bridging IPAT and EKC hypotheses. Nuclear Engineering and Technology, 53(6), 2056–2065. [Crossref]
📄Özcan, B., Tzeremes, P. G., & Tzeremes, N. G. (2020). Energy consumption, economic growth and environmental degradation in OECD countries. Economic Modelling, 84, 203–213. [Crossref]
📄Papapetrou, E., & Tsalaporta, P. (2020). The impact of population aging in rich countries: What’s the future? Journal of Policy Modeling, 42(1), 77–95. [Crossref]
📄Pata, U. K. (2021). Do renewable energy and health expenditures improve load capacity factor in the USA and Japan? A new approach to environmental issues. The European Journal of Health Economics, 22(9), 1427–1439. [Crossref]
📄Pata, U. K., & Kartal, M. T. (2023). Impact of nuclear and renewable energy sources on environmental quality: Testing the EKC and LCC hypotheses for South Korea. Nuclear Engineering and Technology, 55(2), 587–594. [Crossref]
📄Pata, U. K., Erdoğan, S., & Özcan, B. (2023). Evaluating the role of the share and intensity of renewable energy for sustainable development in Germany. Journal of Cleaner Production, 421, 138482. [Crossref]
📄Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. [Crossref]
📄Petrović, P., & Lobanov, M. M. (2020). The impact of R&D expenditures on CO₂ emissions: Evidence from sixteen OECD countries. Journal of Cleaner Production, 248, 119187. [Crossref]
📄Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. [Crossref]
📄Polat, İ. H., & Çamkaya, S. (2025). Yenilenebilir enerjinin enerji güvenliği riski üzerindeki etkisi: Türkiye'den kanıtlar. Uluslararası Yönetim İktisat ve İşletme Dergisi, 21(3), 862–880. [Crossref]
📄Polat, İ. H., Tosunoğlu, M., & Aslan, T. (2025a). Analyzing the ageing population and healthcare expenditures from an environmental sustainability perspective for the EU countries: A spatial approach. Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 16(31), 168–200. [Crossref]
📄Polat, İ. H., Tosunoğlu, M., & Gümüş, M. (2025b). The balancing act: Can corruption control and accountability save public efficiency in India? Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi, 26(2), 464–490. [Crossref]
📄Polat, İ. H., Yapraklı, S., & Çamkaya, S. (2024). Impact of nuclear and renewable energy on CO₂ emissions in OECD countries under the STIRPAT model: Evidence from the CS-ARDL model. International Journal of Contemporary Economics and Administrative Sciences, 14(1), 258–283. [Crossref]
📄Roshid, M. M., Bhowmik, R. C., Dhar, B. K., Islam, S., Sumon, S. A., & de Bem Machado, A. (2026). Managing resource rents, trade openness, and energy transitions: Evidence on ecological load capacity from newly industrialized economies. Resources Policy, 112, 105821. [Crossref]
📄Sen, S., & Ganguly, S. (2017). Opportunities, barriers and issues with renewable energy development—A discussion. Renewable and Sustainable Energy Reviews, 69, 1170–1181. [Crossref]
📄Shang, Y., Razzaq, A., Chupradit, S., An, N. B., & Abdul-Samad, Z. (2022). The role of renewable energy consumption and health expenditures in improving load capacity factor in ASEAN countries: Exploring a new paradigm using advanced panel models. Renewable Energy, 191, 715–722. [Crossref]
📄Siche, R., Pereira, L., Agostinho, F., & Ortega, E. (2010). Convergence of ecological footprint and emergy analysis as a sustainability indicator of countries: Peru as case study. Communications in Nonlinear Science and Numerical Simulation, 15(10), 3182–3192. [Crossref]
📄Świąder, M., Lin, D., Szewrański, S., Kazak, J. K., Iha, K., Van Hoof, J., … et al. (2020). The application of ecological footprint and biocapacity for environmental carrying capacity assessment: A new approach for European cities. Environmental Science & Policy, 105, 56–74. [Crossref]
📄Tarı, R., & Yıldırım, D. Ç. (2009). Döviz kuru belirsizliğinin ihracata etkisi: Türkiye için bir uygulama. Yönetim ve Ekonomi Dergisi, 16(2), 95–105. https://izlik.org/JA22SB33TP
📄Tosunoğlu, M. (2024). The relationship between technological innovation and economic growth in EU countries: A system GMM approach. Verimlilik Dergisi, 58(4), 651–662. [Crossref]
📄Tosunoğlu, M., & Uçal, H. (2025a). The relationship between energy consumption and economic growth: Cointegration and causality approaches. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (67), 177–193. [Crossref]
📄Tosunoğlu, M., & Uçal, H. (2025b). The relationship of energy consumption and economic growth under structural break: An application on Türkiye. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, 12(1), 171–189. [Crossref]
📄Tosunoğlu, M., Akpınar, A., Erdemir, N. A., & Aslan, T. (2025). Fiyatların gölgesinde doğal kaynaklar: Türkiye'de enflasyonun doğal kaynak politikalarına yansımaları. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 23(3), 195–213. [Crossref]
📄Wackernagel, M., & Rees, W. E. (1997). Perceptual and structural barriers to investing in natural capital: Economics from an ecological footprint perspective. Ecological Economics, 20(1), 3–24. [Crossref]
📄Yang, J., Zhang, W., & Zhang, Z. (2016). Impacts of urbanization on renewable energy consumption in China. Journal of Cleaner Production, 114, 443–451. [Crossref]
📄Yang, X., Li, N., Mu, H., Ahmad, M., & Meng, X. (2022). Population aging, renewable energy budgets and environmental sustainability: does health expenditures matter? Gondwana Research, 106, 303-314. [Crossref]
📄York, R. (2007). Demographic trends and energy consumption in European Union nations, 1960–2025. Social Science Research, 36(3), 855–872. [Crossref]
📄Yu, M., Meng, B., & Li, R. (2022). Analysis of China’s urban household indirect carbon emissions drivers under the background of population aging. Structural Change and Economic Dynamics, 60, 114–125. [Crossref]
📄Yurtkuran, S. (2025). The impact of energy efficiency and renewable energy R&D spending on environmental quality: Evidence from Germany by cross-quantilogram approach. Renewable Energy, 253, 123615. [Crossref]
📄Yurtkuran, S., & Pata, U. K. (2024). The effect of nuclear and fossil fuel energy R&D expenditures on environmental qualities in Canada. Sustainable Energy Technologies and Assessments, 68, 103872. [Crossref]
📄Zhang, Q., Shah, S. A. R., & Yang, L. (2022). Modeling the effect of disaggregated renewable energies on ecological footprint in E5 economies: Do economic growth and R&D matter? Applied Energy, 310, 118522. [Crossref]