Dynamic correlated effects of electricity prices, biomass energy, and technological innovation in Tunisia's energy transition

Li, Siying; Cifuentes‐Faura, Javier; Talbi, Besma; Sadiq, Muhammad; Mohammed, Kamel Si; Bashir, Muhammad Farhan

doi:10.1016/j.jup.2023.101521

Cited by 38 publications

(4 citation statements)

References 71 publications

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“…Li et al [ 37 ] examine the determinants of renewable energy investment as an indicator of energy transition and conclude that natural gas consumption hinders energy transition in Tunisia, while an increase in GDP growth, biomass consumption, technological progress, and electricity prices have a positive influence on energy transition. Song et al [ 38 ] use spatial models and reveal that GDP growth and urbanization have a negative effect on renewable energy generation, while industrialization, population density, and CO 2 emissions support the energy transition in China.…”

Section: Literature Reviewmentioning

confidence: 99%

The Role of Information and Communication Technologies and Energy‐Related Research and Development Investments in Energy Transition: Evidence from the United States of America by Machine Learning Algorithm

Pata,

Kartal,

Kılıç Depren

2024

Energy Tech

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In this study, given the critical role and importance of the energy transition, the effect of information and communication technologies (ICT) is researched and the levels of energy‐related research and development (R&D) investments on the energy transition index (ETI), controlling for human capital (HC), energy consumption (EC), and income (gross domestic product [GDP]) are disaggregated. Therefore, in this study, the United States of America (USA) is focused on as the world's leading economy, a total of five machine learning (ML) algorithms are performed, and the data from 2000/Q1 to 2021/Q4 are used. In the outcomes, it is shown that: 1) the multivariate adaptive regression splines approach is the best estimation algorithm among the ML approaches based on the coefficient of determination (R2), which has 85% estimation capacity for ETI; 2) ICT and EC are the most important factors for ETI, followed by renewable energy R&D investments, energy efficiency R&D investments, HC, GDP, and nuclear energy R&D investments, in that order; and 3) R&D investments in carbon capture and storage has no significant effect on ETI. In the overall results of the study, it is suggested that technological progress is central to energy transition in the USA and that environmental policies implemented for energy transition should be closely linked to technological progress.

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Section: Literature Reviewmentioning

confidence: 99%

The Role of Information and Communication Technologies and Energy‐Related Research and Development Investments in Energy Transition: Evidence from the United States of America by Machine Learning Algorithm

Pata,

Kartal,

Kılıç Depren

2024

Energy Tech

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“…The energy transition is a challenging process worldwide because of attracting investments towards renewable energy products and technologies that are costly compared to traditional energy products. The G7 economies which come into the arena of advanced nations face a dilemma in the process of sustainable development which collides with the established economic structures and political paradigms (S. Li et al, 2023;. Transitioning from fossil fuels towards renewable energy sources involves a complex process of policy interests, the corporate world, international relations, economic expansion and socioeconomic considerations (Vanegas Cantarero, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Developed nations are driven by the aspiration for sustainable economic growth, often achieved by effi ciently utilizing their natural resources. This heightened economic expansion signifi es elevated income and consumption patterns, consequently contributing to an increased share of renewable electricity generation (M. Li et al, 2023). In addition, robust economic growth fosters the expansion of financial services and enhances fi nancial inclusion.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Dynamics of Political Economy in Relation to Energy Transition for G7 Economies

Qiu,

Yan,

Badeeb

et al. 2024

Politicka ekonomie

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This research covers the literature gap by investigating the factors of economic expansion (GDP), total natural resources (TNRNT), political risk index (PRI) and technological innovation (TI) and their impact on the renewable electricity output (REOT) in the G7 economies, covering the period 1990-2022. The research utilizes novel MMQREG as the primary method, while BSQR is a non-parametric robustness check method. A pairwise Dumitrescu-Hurlin causality test is employed to find out the causal connection between variables. The diagnostic outcomes show that the modelled variables are static after the first difference while long-run equilibrium is also present. Moreover, the outcomes suggest that GDP negatively influences REOT across quantiles while TNRNT and PRI stimulate the use of REOT in G7 economies across quantiles. Moreover, TI positively influences REOT but is inconclusive across quantiles. The robustness check analysis provides similar and valid outcomes. Lowering political risk is also considered important for energy transition in terms of cleaner energy.

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“…Nevertheless, CO 2 emissions have been increasing over the years, which is a severe threat to the environment of the G7 countries. There is a need to find ways to use financial globalization as a powerful strategy to reduce CO 2 emissions（Dai et al, 2023). Analysing the linkages between financial globalization, income and ERGHGs in G7 countries is crucial.…”

Section: Introductionmentioning

confidence: 99%

What we learn from nexus between greener growth and energy‐related emissions: Sustainability perspective evidence in context of financial globalization

Chen,

Zhou,

Raza

et al. 2023

Geological Journal

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With gradually increasing global climate issues, the Energy Protection Agency (EPA) emphasizes emission reduction measures at the national and international levels. Financial globalization and green innovation are considered a solution to the low‐income problem through internalization and specialization of markets and bring technological progress and innovation through open market access. The developed nations have been using financial globalization as the main driver of economic progress. This study examines the effects of financial globalization and green innovation on energy‐related greenhouse gas emissions for G7 countries. Unlike the literature that considered carbon and overall greenhouse gas emissions, this study is novel as it specifically focuses on energy‐related emissions in developed economies. The authors use the panel data of G7 economies from 1990 to 2020. To estimate the individual effects of each explanatory variable on emissions despite the nonlinear data distribution, this study uses the novel method of moment quantile regression (MMQR) approach. The results suggested that financial globalization, income, eco‐innovation, financial risk and human capital significantly influence greenhouse gas emissions in G7 countries, where economic growth and human capital are the leading drivers of energy‐related emissions. However, green technology, financial globalization and financial risk significantly help improve the environmental quality of the region. The results suggested fruitful implications, including increased participation in global economic activities, investment in green innovation, human capital and efficient financial risk management to attain sustainable development.

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Dynamic correlated effects of electricity prices, biomass energy, and technological innovation in Tunisia's energy transition

Cited by 38 publications

References 71 publications

The Role of Information and Communication Technologies and Energy‐Related Research and Development Investments in Energy Transition: Evidence from the United States of America by Machine Learning Algorithm

The Role of Information and Communication Technologies and Energy‐Related Research and Development Investments in Energy Transition: Evidence from the United States of America by Machine Learning Algorithm

Understanding the Dynamics of Political Economy in Relation to Energy Transition for G7 Economies

What we learn from nexus between greener growth and energy‐related emissions: Sustainability perspective evidence in context of financial globalization

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