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Green energy (GE) is frequently associated with sustainable development, which seeks to reduce global warming and its adverse effects on the environment, economy, and social justice. This study examines the impact of green energy on economic prosperity, green economic recovery, and long-term sustainability. This study analyses 33 industrialized and developing nations between 1991 and 2022 in the context of green energy, sustainable economic growth, and green economic recovery. Pooled Ordinary Least Squares (OLS), the Fixed Effects Model (FEM), and the Random Effects Model (REM) are employed for analysis, and outcomes are analyzed using the Hausman specification test. The results show that both population increase and gross domestic product per capita significantly affect sustainable development. When compared, a hike in green energy prices contributes considerably to and positively to sustainable development. These results are helpful for policymakers and newcomers interested in green energy and renewable energy sources since they provide a framework to conduct more research and develop policy.

The research aims to provide a new approach and insights into the nexus between economic growth and green energy by analyzing their direct, indirect, and total linkages at the European Union level (EU-27). To this end, an advanced empirical analysis performed by network analysis, as Gaussian Graphical Models, is carried out for the period 2012–2022 The originality of network analysis lies in the fact that it allows the simultaneous visualization of all the links between variables in a complex system of dependencies. The novelty of the paper is twofold: first, it addresses the issue of renewable energy in an innovative way that captures three key stages of the EU policy (renewables’ capacity; share of renewable energy; and final consumption); second, it advances the nexus analysis by considering technological investments. Empirical results have validated the vital role of increasing the share of renewable energy in achieving sustainability and reducing greenhouse gas emissions. Also, the Research & Development and Gross Value added in environmental goods and services sector are found to positively influence sustainable development. The results are useful for policymakers and managers of organizations to understand the relationships between these variables better and thus, achieve climate neutrality.

This article aims to provide a systematic review of the literature on animal biomass and biogas plants through an analysis of externalities and benefits in economic, social, and environmental terms. In recent years, the spread of biogas plants has played an important role, especially in rural areas, generating benefits not only for the individual farm but for entire communities, contributing to the reduction of energy poverty and, at the same time, promoting the production of energy and organic manure. In light of the findings, the study argues that: (a) more public subsidies are needed; (b) the deployment of an appropriate policy mix would encourage the spread of small and medium-sized plants, with a reduction in road transport; and (c) targeted and diversified investments are needed on a geographic-by-geographic basis.

In recent years, the growth of Internet of Things devices has increased the use of sustainable energy sources. An alternative technology is offered by triboelectric nanogenerators (TENGs) that can harvest green energy and convert it into electrical energy. Herein, we assessed three different nopal powder types that were used as triboelectric layers of eco-friendly and sustainable TENGs for renewable energy harvesting from environmental vibrations and powering electronic devices. These nanogenerators were fabricated using waste and recycled materials with a compact design for easy transportation and collocation on non-homogeneous surfaces of different vibration or motion sources. In addition, these TENGs have advantages such as high output performance, stable output voltage, lightweight, low-cost materials, and a simple fabrication process. These nanogenerators use the contact-separation mode between two triboelectric layers to convert the vibration energy into electrical energy. TENG with the best output performance is based on dehydrated nopal powder, generating an output power density of 2.145 mWm−2 with a load resistance of 39.97 MΩ under 3g acceleration and 25 Hz operating frequency. The proposed TENGs have stable output voltages during 22500 operating cycles. These nanogenerators can light 116 ultra-bright blue commercial LEDs and power a digital calculator. Also, the TENGs can be used as a chess clock connected to a mobile phone app for smart motion sensing. These nanogenerators can harvest renewable vibration energy and power electronic devices, sensors, and smart motion sensing.

This research aims to estimate the relationship between green bond financing and the OECD nations' performance on the renewable energy indices. The study attempted to quantify the relationship between concepts by analyzing data from OECD countries for 2011–2019. Padroni unit root test, FMOLS, and DOLS method provide evidence for the study's results and convey broad policy implications on this important topic. The robustness is consequently examined through a long-term sensitivity analysis employing the FMOLS, and green bond financing nexus concerning the renewable energy indices is shown for comparison. The study showed that financing of green bonds had a predictable impact on renewable energy indices variables. Green bonds' unequal implications for renewable energy measures across the study period bear out this interpretation. The study's findings call for full suppot from government institutions, energy agencies, and departments to optimize energy efficiency, as green bond financing played a 32% role in OECD nation's renewable energy index constructions and increased per unit improvement in renewable energy sources by 9.6%. The research offers many policy recommendations for improving energy efficiency through renewable energy generation. Recent studies extend and contribute to the existing body of literature, although the scientific discussion on this subject matter still needs to be more detailed and understudied. Financial unpredictability may be transformed into a tremendous opportunity if the renewable energy business is appropriately regulated.

In recent years, there has been a significant transformation in the energy sector in the European Union as a whole. The shift towards producing renewable energy has had a significant impact on the economic development of most countries, requiring substantial investments through public procurement. This study aims to analyse the evolution of the energy sector in Romania from an economic perspective by using a data-driven approach. The data used in this research is collected from publicly available sources and pertains to energy production and public acquisitions in Romania, carried out through the Electronic Public Procurement System. By using a mixed approach, combining documentary analysis, literature review, and predictive modelling, the study reveals a shift towards more sustainable energy options. There is a significant decrease in the production of thermal power and an increase in solar and wind power. The findings provide an overview and potential scenario of Romania's electricity production levels in 2023, shedding light on the relative uncertainties associated with such a transition. The findings also suggest a clear and growing commitment in Romania towards the adoption of alternative energy sources, as reflected in the trends of public procurement. These procurement trends offer a valuable perspective on policy-making, investment planning, and progress monitoring in Romania's energy transition. Despite the inherent uncertainties in such a transition, the study demonstrates Romania's potential in terms of diverse sources for electricity production as well as the role of public procurement in achieving energy transformation.

This study addresses the critical global challenge of climate change, primarily caused by the overconsumption of fossil fuels. Recognizing the urgent need for a transition to green energy (GE) sources such as wind, solar, hydro, and biomass, this research focuses on identifying effective strategies for fostering a sustainable and low-carbon energy future in China. The study employs a combination of the Analytical Hierarchy Process (AHP) and fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL), both well-established multi-criteria decision-making (MCDM) methods, to analyze various drivers, sub-drivers, and strategies crucial for this transition. Through an extensive literature review, we identified several key drivers and strategies aiding the shift towards GE for sustainable development. The AHP method was applied to evaluate and rank the major drivers and sub-drivers, such as policy, financing, and infrastructure and innovation, that are crucial for China's successful transition to GE. Simultaneously, fuzzy DEMATEL was utilized to prioritize vital strategies, including public awareness and education, financial incentives and support mechanisms, and policy and regulatory frameworks. The findings reveal that, in addition to strong policy and financial support, public awareness and education are critical for advancing GE development in China. This study underscores the importance of integrating various drivers and strategies for effective green energy development, aiming to mitigate the environmental impacts of fossil fuel use.

Green energy is being claimed as a sustainable solution to the socioeconomic concerns associated with environmental issues and the depletion of non-renewable sources of energy. The impacts of climate change, including global warming, ozone layer depletion, and rising sea levels, have underscored the emergent need for increased investment in green energy to curb down carbon dioxide emissions. Evolution of environmentalism in the 21st century, and the power of environmentally conscious population with their consumption driven demand is increasing which address a wide variety of economic, social, political, technological and legal topics, ranging from empirical analysis to philosophical theorization. This study aims to explore recent advancements in green energy, adaptations to it, and the role of the circular economy within this context. The research employed a review approach, combined with bibliometric analysis of articles published in the past two decades. These articles were obtained from the Scopus database and selected based on specific inclusion and exclusion criteria. To conduct the bibliometric analysis, the authors utilized Bibliometrix R and VOSviewer software, employing analysis like performance analysis, and bibliographic coupling. This study serves as an initiative to identify emerging themes and potential future research areas, with a specific focus on the impact of green energy on industrial and business-to-business sectors and the development of decision-making tools.

Unquestionably, the industrial revolution of the twenty-first century contributes to global warming. Excessive amounts of carbon emissions into the atmosphere are responsible for global warming. Therefore, this research aims to assess the impact of GDP, green energy consumption, population, trade openness, and democracy on CO2 emissions in four selected South Asian countries from 1990 to 2019. This research also attempts to evaluate the EKC hypothesis in terms of economic growth (GDP2). The unit root of panel data and cointegration tests are executed in this study as a prelude to the regression analysis. Quantile regression for panel data, which (Powell, 2016) devised to deal with the fixed effect problem, is used in this study, and (Powell, 2016) empirical findings are the main focus. The estimated coefficient of GDP is positively significant, demonstrating that economic activity increases the burning of fossil fuels and upsurges atmospheric CO2 emissions. After attaining economic development, the reversed U-shaped EKC theory is valid for four selected South Asian countries. Economic development encourages these countries to use green technology, which helps mitigate CO2 emissions. The research, however, reveals that green energy is to blame for CO2 emissions. Burning biomass releases carbon dioxide that negatively impacts the quality of the environment. The study confirms that human activities are the leading contributor to environmental deterioration. Population growth has a worsening effect on the environment. The association between population and CO2 emissions is positively significant. The estimated coefficient of trade openness is positive, which increases CO2 emissions significantly. The estimated coefficient of democracy is quite negative. Therefore, this study suggests prioritizing democracy to reduce CO2 emissions. Citizens who live in democracies are better informed, more organized, and able to protest, all of which contribute to increased government responsiveness to environmental preservation. The results of the Wald test support the differential effects at various quantiles. The Dumitrescu-Hurlin (2012) panel causality tests are also used in this analysis to check causality between variables. Based on the findings, this research makes many policy suggestions for lowering carbon emissions.

Green energy (GE) is frequently associated with sustainable development, which seeks to reduce global warming and its adverse effects on the environment, economy, and social justice. This study examines the impact of green energy on economic prosperity, green economic recovery, and long-term sustainability. This study analyses 33 industrialized and developing nations between 1991 and 2022 in the context of green energy, sustainable economic growth, and green economic recovery. Pooled Ordinary Least Squares (OLS), the Fixed Effects Model (FEM), and the Random Effects Model (REM) are employed for analysis, and outcomes are analyzed using the Hausman specification test. The results show that both population increase and gross domestic product per capita significantly affect sustainable development. When compared, a hike in green energy prices contributes considerably to and positively to sustainable development. These results are helpful for policymakers and newcomers interested in green energy and renewable energy sources since they provide a framework to conduct more research and develop policy., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)

This study examines the linkage of green finance and green growth under the regulatory role of green energy and green production in 52 countries worldwide from 2005 to 2019. Applying the Bayesian regression and GMM regression, the results of these two methods are similar. When ignoring the regulatory role of green energy and green production, green finance negatively impacts green growth. This result is entirely opposite when considering the regulatory role of green energy and green production, green finance impacts green growth positively. However, Bayesian regression is more effective when providing different posterior probability intervals and probability ranges for independent variables to affect the dependent variable. Specifically, the probability that green financial growth has a negative impact on green growth is above 75.86 %. Similarly, under the role of green energy, the probability that green finance growth has a positive impact on green growth is 80.45 % and under the role of green production, this probability is 76.64 %. These findings imply that countries should build a financial system associated with the goal of green energy and green production, thereby helping the economy become greener., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

The research aims to provide a new approach and insights into the nexus between economic growth and green energy by analyzing their direct, indirect, and total linkages at the European Union level (EU-27). To this end, an advanced empirical analysis performed by network analysis, as Gaussian Graphical Models, is carried out for the period 2012-2022 The originality of network analysis lies in the fact that it allows the simultaneous visualization of all the links between variables in a complex system of dependencies. The novelty of the paper is twofold: first, it addresses the issue of renewable energy in an innovative way that captures three key stages of the EU policy (renewables' capacity; share of renewable energy; and final consumption); second, it advances the nexus analysis by considering technological investments. Empirical results have validated the vital role of increasing the share of renewable energy in achieving sustainability and reducing greenhouse gas emissions. Also, the Research & Development and Gross Value added in environmental goods and services sector are found to positively influence sustainable development. The results are useful for policymakers and managers of organizations to understand the relationships between these variables better and thus, achieve climate neutrality., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Achieving a transition to green energy requires the government to adopt new policies on green industrial products and energy. Throughout this process, rural residents often face various challenges due to economic and other factors. However, some rural residents are motivated to participate in this transition due to the economic benefits of energy usage and rooftop photovoltaic (PV). This study takes a rural community in the outskirts of Nanjing, China, as an example and applies Granovetter's embeddedness theory and a threshold model to analyze the factors influencing rural residents' engagement in a fair transition to green energy. Research hypotheses are proposed accordingly. The results indicate that rural residents are influenced by multiple factors in the adoption process of rooftop PV projects, primarily encompassing economic and trust-related aspects. From an economic perspective, rural residents evaluate the viability of rooftop PV systems by considering the marketing strategies employed by PV enterprises and the governmental pressure to reduce carbon emissions. They make rational calculations to determine the return on investment, and only when the economic threshold is surpassed will they reach the anticipated level of participation. From the perspective of trust, rural residents' participation in rooftop PV projects is also influenced by trust factors. The level of trust that rural residents have in rooftop PV enterprises, governments, and community organizations plays an important role in their willingness to participate in the green energy transition. Based on these findings, the research paper concludes that local government should continue providing tailored public information and services to facilitate the progress of rooftop PV projects., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Examining the relationship between green energy, the digital economy, and economic advancement in eighteen South American nations, the study used the Principal Component Factor (PCF) approach. A Green Energy Transition Index (GETI) and a Digital Economy Index (DEI) were developed as a consequence of this study. Confirmation of the large influence of switching to green energy on economic development and environmental sustainability is provided by the research's use of Fixed Effect Panel Threshold Regression (FEPTR) analysis. In today's global industrial value chain, hydrocarbons are the main source of energy. As a result, it hastened the decarburization of the world energy system to lower the noteworthy quantities of CO2 emissions from these sources. All quantile groups' economic development is strongly impacted by the digital economy and the move to green energy, according to the Methodology of instants of quantile regression (MMQR). The only element that positively impacts environmental sustainability across all quantile groups is the switch to Green energy. Reducing CO2 emissions and increasing economic development are characteristics of the low-quantile group. While the median quantile group does see a decrease in carbon dioxide emissions, economic growth remains stagnant., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

In recent years, the growth of Internet of Things devices has increased the use of sustainable energy sources. An alternative technology is offered by triboelectric nanogenerators (TENGs) that can harvest green energy and convert it into electrical energy. Herein, we assessed three different nopal powder types that were used as triboelectric layers of eco-friendly and sustainable TENGs for renewable energy harvesting from environmental vibrations and powering electronic devices. These nanogenerators were fabricated using waste and recycled materials with a compact design for easy transportation and collocation on non-homogeneous surfaces of different vibration or motion sources. In addition, these TENGs have advantages such as high output performance, stable output voltage, lightweight, low-cost materials, and a simple fabrication process. These nanogenerators use the contact-separation mode between two triboelectric layers to convert the vibration energy into electrical energy. TENG with the best output performance is based on dehydrated nopal powder, generating an output power density of 2.145 mWm -2 with a load resistance of 39.97 MΩ under 3g acceleration and 25 Hz operating frequency. The proposed TENGs have stable output voltages during 22500 operating cycles. These nanogenerators can light 116 ultra-bright blue commercial LEDs and power a digital calculator. Also, the TENGs can be used as a chess clock connected to a mobile phone app for smart motion sensing. These nanogenerators can harvest renewable vibration energy and power electronic devices, sensors, and smart motion sensing., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Agustin L. Herrera-May reports financial support and administrative support were provided by Veracruzana University., (© 2024 The Authors.)

This research aims to estimate the relationship between green bond financing and the OECD nations' performance on the renewable energy indices. The study attempted to quantify the relationship between concepts by analyzing data from OECD countries for 2011-2019. Padroni unit root test, FMOLS, and DOLS method provide evidence for the study's results and convey broad policy implications on this important topic. The robustness is consequently examined through a long-term sensitivity analysis employing the FMOLS, and green bond financing nexus concerning the renewable energy indices is shown for comparison. The study showed that financing of green bonds had a predictable impact on renewable energy indices variables. Green bonds' unequal implications for renewable energy measures across the study period bear out this interpretation. The study's findings call for full suppot from government institutions, energy agencies, and departments to optimize energy efficiency, as green bond financing played a 32% role in OECD nation's renewable energy index constructions and increased per unit improvement in renewable energy sources by 9.6%. The research offers many policy recommendations for improving energy efficiency through renewable energy generation. Recent studies extend and contribute to the existing body of literature, although the scientific discussion on this subject matter still needs to be more detailed and understudied. Financial unpredictability may be transformed into a tremendous opportunity if the renewable energy business is appropriately regulated., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)

In recent years, there has been a significant transformation in the energy sector in the European Union as a whole. The shift towards producing renewable energy has had a significant impact on the economic development of most countries, requiring substantial investments through public procurement. This study aims to analyse the evolution of the energy sector in Romania from an economic perspective by using a data-driven approach. The data used in this research is collected from publicly available sources and pertains to energy production and public acquisitions in Romania, carried out through the Electronic Public Procurement System. By using a mixed approach, combining documentary analysis, literature review, and predictive modelling, the study reveals a shift towards more sustainable energy options. There is a significant decrease in the production of thermal power and an increase in solar and wind power. The findings provide an overview and potential scenario of Romania's electricity production levels in 2023, shedding light on the relative uncertainties associated with such a transition. The findings also suggest a clear and growing commitment in Romania towards the adoption of alternative energy sources, as reflected in the trends of public procurement. These procurement trends offer a valuable perspective on policy-making, investment planning, and progress monitoring in Romania's energy transition. Despite the inherent uncertainties in such a transition, the study demonstrates Romania's potential in terms of diverse sources for electricity production as well as the role of public procurement in achieving energy transformation., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Author(s).)

This study addresses the critical global challenge of climate change, primarily caused by the overconsumption of fossil fuels. Recognizing the urgent need for a transition to green energy (GE) sources such as wind, solar, hydro, and biomass, this research focuses on identifying effective strategies for fostering a sustainable and low-carbon energy future in China. The study employs a combination of the Analytical Hierarchy Process (AHP) and fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL), both well-established multi-criteria decision-making (MCDM) methods, to analyze various drivers, sub-drivers, and strategies crucial for this transition. Through an extensive literature review, we identified several key drivers and strategies aiding the shift towards GE for sustainable development. The AHP method was applied to evaluate and rank the major drivers and sub-drivers, such as policy, financing, and infrastructure and innovation, that are crucial for China's successful transition to GE. Simultaneously, fuzzy DEMATEL was utilized to prioritize vital strategies, including public awareness and education, financial incentives and support mechanisms, and policy and regulatory frameworks. The findings reveal that, in addition to strong policy and financial support, public awareness and education are critical for advancing GE development in China. This study underscores the importance of integrating various drivers and strategies for effective green energy development, aiming to mitigate the environmental impacts of fossil fuel use., Competing Interests: The authors declare that there is no conflict of interest with anyone else., (© 2024 The Authors.)

Green energy is being claimed as a sustainable solution to the socioeconomic concerns associated with environmental issues and the depletion of non-renewable sources of energy. The impacts of climate change, including global warming, ozone layer depletion, and rising sea levels, have underscored the emergent need for increased investment in green energy to curb down carbon dioxide emissions. Evolution of environmentalism in the 21st century, and the power of environmentally conscious population with their consumption driven demand is increasing which address a wide variety of economic, social, political, technological and legal topics, ranging from empirical analysis to philosophical theorization. This study aims to explore recent advancements in green energy, adaptations to it, and the role of the circular economy within this context. The research employed a review approach, combined with bibliometric analysis of articles published in the past two decades. These articles were obtained from the Scopus database and selected based on specific inclusion and exclusion criteria. To conduct the bibliometric analysis, the authors utilized Bibliometrix R and VOSviewer software, employing analysis like performance analysis, and bibliographic coupling. This study serves as an initiative to identify emerging themes and potential future research areas, with a specific focus on the impact of green energy on industrial and business-to-business sectors and the development of decision-making tools., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors. Published by Elsevier Ltd.)

Unquestionably, the industrial revolution of the twenty-first century contributes to global warming. Excessive amounts of carbon emissions into the atmosphere are responsible for global warming. Therefore, this research aims to assess the impact of GDP, green energy consumption, population, trade openness, and democracy on CO2 emissions in four selected South Asian countries from 1990 to 2019. This research also attempts to evaluate the EKC hypothesis in terms of economic growth (GDP2). The unit root of panel data and cointegration tests are executed in this study as a prelude to the regression analysis. Quantile regression for panel data, which (Powell, 2016) devised to deal with the fixed effect problem, is used in this study, and (Powell, 2016) empirical findings are the main focus. The estimated coefficient of GDP is positively significant, demonstrating that economic activity increases the burning of fossil fuels and upsurges atmospheric CO2 emissions. After attaining economic development, the reversed U-shaped EKC theory is valid for four selected South Asian countries. Economic development encourages these countries to use green technology, which helps mitigate CO2 emissions. The research, however, reveals that green energy is to blame for CO2 emissions. Burning biomass releases carbon dioxide that negatively impacts the quality of the environment. The study confirms that human activities are the leading contributor to environmental deterioration. Population growth has a worsening effect on the environment. The association between population and CO2 emissions is positively significant. The estimated coefficient of trade openness is positive, which increases CO2 emissions significantly. The estimated coefficient of democracy is quite negative. Therefore, this study suggests prioritizing democracy to reduce CO2 emissions. Citizens who live in democracies are better informed, more organized, and able to protest, all of which contribute to increased government responsiveness to environmental preservation. The results of the Wald test support the differential effects at various quantiles. The Dumitrescu-Hurlin (2012) panel causality tests are also used in this analysis to check causality between variables. Based on the findings, this research makes many policy suggestions for lowering carbon emissions., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors.)