Prioritising sustainability: how economic growth, energy use, forest area, and globalization impact on greenhouse gas emissions and load capacity in Poland?

International Journal of Sustainable Energy, Journal Year: 2024, Volume and Issue: 43(1)

Published: June 26, 2024

The main purpose of this paper is to investigate the environmental repercussions a booming economy, fossil fuel, renewable energy, globalisation, technological innovation, and forest cover in Poland from 1990 2018. This study used greenhouse gas (GHG) emissions load capacity factor as proxies ecological damage provide comprehensive assessment surrounding ecosystem help implement future policies reduce achieve sustainability. Besides, only European Union (EU) country lacking climate neutrality objective policy instruments mitigate concerns. Autoregressive Distributed Lag (ARDL) bounds model Dynamic Ordinary Least Squares (DOLS) procedure evaluated yearly data empirical outcomes DOLS point out that economic growth fuel energy use enhance GHG despite reducing Poland. Instead, power, might concluding thoughts suggest implementation support raising additional funding for eco-friendly technology studies while promoting enhancing carbon sinks.

Language: Английский

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Effect of green technological innovation and financial development on green energy transition in N-11 countries: Evidence from the novel Method of Moments Quantile Regression

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122435 - 122435

Published: Jan. 1, 2025

Language: Английский

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Analysing the current status, hotspots, and future trends of technology management: Using the WoS and scopus database

Heliyon, Journal Year: 2023, Volume and Issue: 9(9), P. e19922 - e19922

Published: Sept. 1, 2023

This study presents a comprehensive overview of the development process and latest trends in technology management (TM), laying robust foundation for further advancements this domain. To achieve this, we analysed 1944 TM articles from Web Science database 2642 Scopus, spanning last 20 years. Employing methodologies that involve scientific knowledge graphs bibliometrics, diverse aspects such as changes annual publication articles; geographical distribution among countries, institutions, disciplines, authors; keyword co-occurrence clusters; timezone view. Our findings reveal significant surge TM's growth recent years, showcasing its highly promising potential. The USA is frontrunner contributing to research, followed by China UK. research relatively concentrated UK, while it appears more dispersed China. University Cambridge had highest volume disciplines Business, Management, Engineering, Computer occupied top spots. As evolves, possible challenge could be emergence new authoritative authors. Second, vibrant landscape characterised hotspots innovation, strategy, acquisition, application, standards, sustainable development. Among these, information medical technologies stand out most frequently referenced technologies. Third, are follows: innovation subdivided into technological open bibliometric analysis patent have become pivotal methods management, scope has expanded internal organisational processes encompass external aspects, gradually evolving mature science, with focus transitioning macro micro becoming profound detailed. Last, Industry 4.0, artificial intelligence, big data, IoT represent frontier realm TM.

Language: Английский

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A comprehensive review of artificial intelligence and machine learning applications in energy consumption and production

Journal of Technology Innovations and Energy, Journal Year: 2023, Volume and Issue: 2(4), P. 1 - 26

Published: Oct. 19, 2023

The energy industry worldwide is today confronted with several challenges, including heightened levels of consumption and inefficiency, volatile patterns in demand supply, a dearth crucial data necessary for effective management. Developing countries face significant challenges due to the widespread occurrence unauthorized connections electricity grid, resulting substantial amounts unmeasured unpaid consumption. Nevertheless, implementation artificial intelligence (AI) machine learning (ML) technologies has potential improve management, efficiency, sustainability. Therefore, this study aims evaluate influence AI ML on progress industry. present employed systematic literature review methodology examine arising from frequent power outages limited accessibility various developing nations. results indicate that possess domains, predictive maintenance turbines, optimization consumption, management grids, prediction prices, assessment efficiency residential buildings. This concluded discussion measures enable nations harness advantages sector.

Language: Английский

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Economy-energy-environment nexus: the potential of agricultural value-added toward achieving China’s dream of carbon neutrality

Carbon Research, Journal Year: 2023, Volume and Issue: 2(1)

Published: Nov. 14, 2023

Abstract Agriculture is one of the major sources global emissions that cause climate change while agricultural value added helps to boost economy in developing countries like China. Therefore, this study aims investigate long- and short-term influences added, economic growth (GDP), energy use on carbon dioxide (CO 2 ) The autoregressive distributed lag (ARDL) method was used by using annual time series data from 1990 2021. empirical outcomes revealed a 1% increase would cut CO 1.37% long-run 0.65% short-run. However, found both GDP consumption have positive statistically significant effect emissions. Furthermore, an inverted U-shaped association between environmental pollution discovered spotting coefficient negative squared, which proved validity Kuznets curve (EKC) hypothesis. robustness ARDL verified fully modified ordinary least squares (FMOLS), dynamic (DOLS), canonical cointegration regression (CCR) approaches. This offers comprehensive set policy recommendations aimed at enhancing These suggestions focus promotion climate-smart agriculture, integration renewable production, adoption advanced technologies within systems. Implementing these measures contribute achievement China’s goal neutrality. Graphical

Language: Английский

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