Renewable Energy, Год журнала: 2025, Номер unknown, С. 123335 - 123335
Опубликована: Май 1, 2025
Язык: Английский
Renewable Energy, Год журнала: 2025, Номер unknown, С. 123335 - 123335
Опубликована: Май 1, 2025
Язык: Английский
Journal of Cleaner Production, Год журнала: 2023, Номер 428, С. 139357 - 139357
Опубликована: Окт. 21, 2023
Язык: Английский
Процитировано
71Energy Strategy Reviews, Год журнала: 2024, Номер 52, С. 101270 - 101270
Опубликована: Янв. 1, 2024
Current society prioritizes clean energy production (CEP) to meet diverse needs and achieve sustainability. research involves different aspects of CEP, but comprehensive is limited. Therefore, this paper aims improve researchers' integrated understanding the field reveal significant trends by using CiteSpace conduct a visualized bibliometric analysis CEP in past 20 years. Specifically, we aim analyze statistical characteristics, collaboration dynamics, status, hotspot evolutions; find that an increasingly focused hot field, with Asian institutions countries are more active collaborators; besides, most highly co-cited journals have high impact factors reputations, they related physics, chemistry, biology; furthermore, topics cover whole procedure been changing significantly over years; future, will integrate disciplines, new may occur, paradigm be collaborative, targeting specific segments engineering application-oriented. The important future renewable energy, lignocellulosic biomass, carbon capture, challenges. results help scholars understand field's knowledge comprehensively, effectively, efficiently.
Язык: Английский
Процитировано
25Journal of Applied Economics, Год журнала: 2024, Номер 27(1)
Опубликована: Фев. 2, 2024
Green finance is one of the emerging research areas, particularly in academia and industries. However, its contribution to green growth remains relatively unexplored. Unlike previous studies, current contributes existing literature by using as a policy tool for achieving growth. The method moment quantile regression used investigate link between other control variables on 19 selected OECD economies from 1990 2021. main findings study support idea that accelerates countries. Similarly, results human capital show significantly positive relationship with Additionally, increase globalization GDP decrease To promote achieve sustainable environmental goals set economies, policymakers regulators must prioritize finance.
Язык: Английский
Процитировано
21Sustainable Development, Год журнала: 2024, Номер unknown
Опубликована: Сен. 30, 2024
Abstract As stakeholder concerns about corporate sustainability intensify, greenwashing—where companies deceptively report their environmental performance for short‐term economic gain—poses a significant threat to long‐term sustainability, making it crucial explore effective ways curb this practice. Using data from 1,270 Chinese listed 2009 2019, study constructs two‐way fixed effects and moderating models the role of green innovation in curbing greenwashing. Green not only reduces incentives greenwashing, but also makes genuine contribution protection, thus promoting “win‐win” scenario both development. Moreover, positive impact on greenwashing can be significantly amplified by easing financial constraints enhancing firms’ risk‐taking capabilities foster stable environment, as well strengthening governance structure through increased gender diversity background among managers. Heterogeneity tests show that pathway is particularly with heavy pollution higher performance. The research findings help formulate more management strategies incentive mechanisms reduce achieve sustainable
Язык: Английский
Процитировано
20Financial Innovation, Год журнала: 2024, Номер 10(1)
Опубликована: Май 10, 2024
Abstract This study explores the complex relationships involving ecological footprints, energy use, carbon emissions, governance efficiency, economic prosperity, and financial stability in South Asian nations spanning period from 2000 to 2022. Employing various methodologies such as cross-sectional dependence tests, co-integration analysis, first- second-generation unit-root we use a panel Autoregressive Distributed Lag model, feasible generalized least squares, Panel Corrected Standard Errors ensure robustness of our findings. We find noteworthy positive correlations between several variables, including heightened consciousness, effective structures, increased GDP per capita, amplified CO 2 emissions. These suggest potential pathways strengthen entire region; they also highlight latent embracing ecologically sustainable practices fortify resilience. Our results underscore pivotal role appropriate structures higher income levels bolstering countries. Interestingly, negative coefficients associated with renewable energy, suggesting that escalating adoption could create instability. finding stresses importance diversification strategies, cautioning policymakers carefully consider ramifications potentially costly imports sources while seeking reduce emphasizing need strike balance ambitious sustainability goals pursuit sustained region. In considering implications these findings, it is crucial each country’s broader socioeconomic context. offer valuable insights for developing strategies.
Язык: Английский
Процитировано
19Resources Environment and Sustainability, Год журнала: 2023, Номер 14, С. 100135 - 100135
Опубликована: Сен. 9, 2023
Exploring the impact of technological innovation on carbon efficiency is conducive to achieving a better low-carbon transition and thus reaching sustainable development goals. However, academic community still has no consensus about efficiency. China vast country with differences in resource endowment economic different regions. Therefore, this paper first assesses level emission through panel data 30 provinces China. Then, PVAR (Panel Vector Autoregressive) model utilized explore regional The findings reveal that: First, shows continuous trend, but as whole relatively low. Technological western far behind that eastern Second, China's generally at high trend from rise fall. higher than central China, Third, impulse response reveals influence experienced change negative positive impact. initial negative, largest seen (-0.100), followed by area (-0.050), finally region (-0.005). After one period, turned have effect emission, having most (0.060), (0.010), ranking last (0.001). above implications for formulation policies regions improve emissions accordance local conditions.
Язык: Английский
Процитировано
43Energy Strategy Reviews, Год журнала: 2024, Номер 53, С. 101418 - 101418
Опубликована: Май 1, 2024
Many existing studies on the digitalization of energy sector often overlook intertwined roles human capital and advanced information communication technologies (ICTs) in driving transition to renewable sources (RES). This paper addresses this gap by quantitatively analyzing impact investments innovation digital competitiveness companies, with a particular focus Russian sector. Employing combination bibliographical network literature analysis, along an ordinal regression model, research analyzes data 820 managers from companies collected via online surveys between June December 2023. The study finds that one-point increase investment scores leads significant improvement company's capabilities adaptation, which is critical for leveraging technologies. Moreover, results underscore necessity state interventions bolster thereby enhancing sustainable economic development aligned SDGs Agenda 2030. Our findings not only highlight role sector's but also suggest policy measures support transformation efficiently.
Язык: Английский
Процитировано
13Energy Strategy Reviews, Год журнала: 2024, Номер 52, С. 101347 - 101347
Опубликована: Фев. 28, 2024
Digitalization is a driving force behind the ongoing energy industrial revolutions, catalyzing China's pursuit of carbon neutrality and sustainable development. Leveraging provincial data annual reports from enterprises in China, this study constructs comprehensive analytical framework that encompasses benchmark regression models, mediating effect threshold spatial econometric models. These models are utilized to investigate multi-faceted impacts digitalization on productivity (CP). The aim furnish micro-level evidence policy guidance for advancing transformation fostering low-carbon development enriched with digital elements. This research employs natural language processing machine learning techniques compute an Energy Index, examining two critical dimensions: industry investment inclination toward transformation. following key findings emerge: firstly, (ED) exhibits statistically significant ability enhance regional CP, phenomenon marked by temporal variations. Secondly, analysis confirms transmission mechanisms associated technology innovation, structure, utilization efficiency, as revealed through Logarithmic Mean Divisia Index (LMDI) decomposition method. Furthermore, optimal economies materializes settings characterized mature market conditions, modest environmental regulations, advanced infrastructure, reduced resource dependency. Additionally, Markov chain unveils conspicuous distribution pattern termed "club convergence" accompanied pronounced "Matthew effect." According Durbin model, generates favorable spillover effects, primarily peripheral regions, more short-term influence. Building upon these insights, paper presents pertinent recommendations encompassing national "digital energy" strategy, differentiation policies, initiatives stimulate innovation among enterprises. Our robust empirical constructive empowering governments forge smarter cleaner ecosystem. offer valuable other developing nations seeking implement effective strategies.
Язык: Английский
Процитировано
11Atmospheric Pollution Research, Год журнала: 2024, Номер 15(6), С. 102121 - 102121
Опубликована: Март 20, 2024
Язык: Английский
Процитировано
11Journal of Cleaner Production, Год журнала: 2024, Номер 450, С. 141507 - 141507
Опубликована: Март 20, 2024
Язык: Английский
Процитировано
10