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    Assessment into the nexus between load capacity factor, population, government policy in form of environmental tax: accessing evidence from Turkey
    (EMERALD GROUP PUBLISHING LTD, Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE LS1 4DL, ENGLAND, 2024) Bekun, Festus Victor; Yadav, Ashutosh; Onwe, Joshua Chukwuma; Fumey, Michael Provide; Ökmen, Mahsum
    Purpose Over the last decades, the need for sustainable energy production and consumption has been heavily discussed. However, there has been no consensus in the extant literature. Thus, to this end, this study aims to explore the long-run and causality connection among disaggregated energy consumption, environmental tax and economic growth in a carbon-function framework for Turkey. Design/methodology/approach This study uses annual frequency data for econometrics analysis. To this end, our analysis utilizes the autoregressive distributive lag (ARDL) technique for cointegration and long-run analysis, while the Granger causality was used for causality direction. Findings Economic growth drives Turkey’s Load Capacity Factor (LCF), indicating energy efficiency is linked to economic performance. Renewable energy boosts LCF, while nonrenewable energy hinders it. Population growth positively affects energy efficiency, but environmental taxes have minimal impact, suggesting policy reform is needed. These outcomes have far-reaching implications for macroeconomic policies and environmental sustainability in Turkish economy energy mix amidst its growth path. Research limitations/implications The findings suggest the need for policy reforms prioritizing renewable energy investments to enhance Turkey’s energy efficiency and sustainability. Additionally, the current environmental tax structure requires reevaluation to support sustainable energy practices better. These policy changes are crucial for balancing Turkey’s economic growth with environmental goals, ensuring a more sustainable energy future.
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    Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations
    (MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2022) Hossain, Md. Emran; Rej, Soumen; Saha, Sourav Mohan; Onwe, Joshua Chukwuma; Nwulu, Nnamdi; Bekun, Festus Victor; Taha, Amjad
    The current research sheds light on the nexus between environmental degradation as proxied by carbon dioxide emissions (CO2 ), energy efficiency (EE), economic growth, manufacturing value-added (MVA), and the interaction effect of EE and MVA in India. Using yearly data from 1980 to 2019, the current study employs dynamic auto-regressive distribution lag (DARDL) simulations and Fourier Toda and Yamamoto causality techniques. The findings of DARDL reveal that as income and MVA rise, environmental quality decreases, while EE improves environmental conditions in both the long and short run. Surprisingly, the interaction term of EE and MVA has a detrimental influence on environmental quality, meaning that India remains unable to provide energy savings technologies to the manufacturing industry. Furthermore, the environmental Kuznets curve (EKC) hypothesis is well-founded for India, as the long-run income coefficient is smaller than the short-run coefficient, implying that India is in its scale stage of economy, where economic growth is prioritized over environmental quality. The results of the causality technique reveal that CO2 emissions and EE have a bidirectional association. Therefore, policymakers in India should embrace realistic industrialization strategies combined with moderate decarbonization and energy efficiency initiatives under the umbrella of sustainable industrial and economic growth.
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    Technological Innovation, Productive Population, Sustainability and Income Growth in Selected Asian Countries
    (WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ, 2025) Ajmi, Ahdi Noomen; Bekun, Festus Victor; Onwe, Joshua Chukwuma; Habib, Muhammad Danish
    Sustainable income growth in emerging nations requires productive populations to adopt and innovate technology to boost marginal productivity per worker. To this end, the present study examines how technological adoption, productive population and sustainability affect income growth in selected Asian economies between 1990 and 2022. Thus, to achieve the study objective, a panel analysis circumvents cross-sectional dependence with estimators such as Augmented Mean Group (AMG) heterogeneous panel regression. Similar robustness estimators like Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS) and Driscoll–Kraay Standard Errors (DKSE) were employed. Key empirical findings include that, with all things being equal, productive population size decreases income growth by 5.6%. This means that productive activity considerably reduces Asian income growth. However, technical advancement boosts revenue. Technological innovation enhances Asian income growth by 1.1% when all model variables are constant. In contrast, using 1% sustainable energy to increase sustainability reduces the region's income growth by 2.9%. This means sustainable energy consumption in Asia reduces economic productivity and income per capita. Based on the study's findings, Asian countries should encourage technology innovation and skill development for productive populations. A productive workforce can build creative skills through ongoing training and manpower incubation via an innovation ecosystem. In the conclusion, more policy directions are appended.