Assessing energy security in Africa based on multi-dimensional approach of principal composite analysis

Addressing the influencing path of social noise exposure risk perception on noise mitigation behavior

Noise interference has become a common health risk in population-densified urban areas where social noise occurs frequently. However, the influence of an individual's perception of social noise exposure risk on reactive behavior remains unknown. This study developed an integrative psychosocial perspective-based model that includes constructs from two theoretical frameworks (the Theory of Planned Behavior and the Value-Belief-Norm theory) to analyze noise risk perception and behavioral intention for social noise mitigation. Haidian District, Beijing, was selected as the case study area and 300 questionnaires were distributed. The results showed that personal attributes had significant effects on residents' noise exposure risk perception and noise-mitigation behavioral intentions. Noise perception, as represented by awareness of consequences and ascription of responsibility, was significantly related to noise mitigation behavioral intention. Awareness of consequences directly positively influenced behavioral intention (β = 0.235, p < 0.001) and indirectly positively influenced behavioral intention through the mediating effect of the ascription of responsibility, which accounted for 24 % of the total effect of awareness of consequences on behavioral intention. This study provides valuable insights into the risks of social noise and encourages adaptive measures to reduce it.

Research landscape of energy transition and green finance: A bibliometric analysis

This study utilizes bibliometric analysis to examine historical and present research patterns in the area of energy transition and green finance and to forecast potential future domains. Using the bibliometric method, 328 scholarly articles from the Web of Science database were evaluated. This paper identifies influential publications, maps the research landscape, and forecasts emerging tendencies through co-citation and co-word analyses. Co-citation analysis found three main clusters, while co-word analysis revealed four main clusters. Despite the growing significance of research on energy transition and green finance research, further in-depth investigation is necessary to offer a thorough depiction of the research domain. This research represents a pioneering endeavour in the utilization of bibliometric analysis to investigate the interrelationship between two items. It offers valuable insights into the rapidly expanding field of energy transition and green finance, effectively highlighting its contours and indicating potential future developments.

Sustainability energy security: 20 years assessment of the West African Nations using a comprehensive entropy-TOPSIS analysis

Energy security in Africa has become a crucial issue in recent times due to the imminent lack of access to electricity, increasing energy demand informed by economic growth, population growth, and forecasts that point to business as usual on the continent based on these variables. While the West African region has abundant energy resources, they have not yet been translated into sustainable energy security, as it pertains to energy availability. This is a persistent challenge that needs to be addressed to support economic growth and social development in the region. Therefore, this study aims to assess the sustainable energy security in five West African countries (Nigeria, Senegal, Ghana, Cote d'Ivoire, and Togo), using nine energy security indicators and taking into cognizance, the energy, economic, social, and environmental security dimensions. The entropy-TOPSIS methodology of multi-criteria decision-making (MCDM) is used in estimating the energy security index across 20 years (2000-2019). The result showed that the situation in Cote d'Ivoire is reported to be "safe" in terms of sustainable energy security. It is reported that in Togo, energy security is at a "dangerous" level, which is ultimately tied to the low energy, economic, and societal security in the country. The findings of this study could be valuable for policymakers working on energy and climate policy at the national and regional levels. Based on the results, it may be necessary to take stronger legal action to ensure the implementation of energy security goals in the West African countries, which have struggled to meet their targets and have faced challenges in implementing policies at the desired pace.

Investigating financialization perspective of oil prices, green bonds, and stock market movement in COVID-19: empirical study of E7 economies

The drastic influence of the COVID-19 crisis halted almost every industry and economy and made the quality of doing business in the oil industry and stock markets large. Also, COVID-19 diminished financial and economic performance to a greater extent. This issue still warrants modern solutions. Thus, preceding research inquired about the financialization perspective of oil prices, green bonds, and stock market movement in the COVID-19 crisis. For this, E7 economies' data is selected to analyze the empirical findings of the research. The findings revealed that the green bonds have a weak link to crude oil, a weak correlation to stocks in the E7 settings, and a strong correlation to gold prices. While stock market return is also little correlated in COVID-19, stock volatility is highly significant in both directions with oil prices and green bonds movement. The hedging ratio has also shown a significant connection with oil prices and green bonds movement in determining the financialization of E7 economies. Hence, the study directs the implications for important industrial planning and policymaking decisions.

How financial development scale and R&D influence regional innovation efficiency: empirical evidence from the financial industry

Financial elements and R&D elements are significant drivers for enhancing regional innovation efficiency. This paper measures financial elements by financial development scale and the marketization level of the financial industry and R&D elements by the inputs and flow of R&D personnel and R&D capital and specifically considers R&D element flow to quantify the consequential spatial spillover effects. Based on provincial panel data from 2008 to 2018, the paper firstly estimates the regional innovation efficiency of China's 30 provincial-level administrative regions using super-efficiency DEA and then conducts an empirical analysis of the influence of financial elements and R&D elements on regional innovation efficiency by the use of the Tobit model and three spatial econometric models. It is found that, by and large, the financial development scale, the marketization level of the financial industry, the inputs of R&D personnel and R&D capital, and R&D capital flow all have significant effects on regional innovation efficiency. Nonetheless, by region, R&D personnel flow in central China can significantly boost regional innovation efficiency while fails in eastern and western China. From the spatial perspective, both financial elements and R&D elements have significant positive spatial spillover effects. Therefore, in order to bolster regional innovation efficiency, it is crucial to improve the allocation of financial elements and R&D elements and build a tight regional collaborative innovation network.

Nexus between green financing, renewable energy generation, and energy efficiency: empirical insights through DEA technique

The study aims to test the nexus of green financing with renewable electricity generation and energy efficiency. The study used data envelopment analysis (DEA) technique during the year of 2016 to 2020 in developed and developing countries. The findings show that there is a 24% possibility of worldwide rise in expenditures in renewable energy through energy efficiency projects and probably could fall around 17% much further in 2017 and 2018. This may jeopardize the Sustainable Development Goals (SDGs) and the Paris climate change agreement. Lack of access to private financing slows the development of green initiatives. Now that sustainable energy is not about science and technology, it is all about getting financing in developed and developing countries. As policy measure, the study suggested to value environmental initiatives, like other infrastructure initiatives, for greater electricity generation and energy efficiency in developed and developing countries. Such infrastructural projects need long-term financing and capital intensiveness. It is further suggested to sustain growth, development, and energy poverty reduction, and around $26 trillion would be required, in terms of green financing, in the developed and developing countries alone by the year 2030 to enhance energy efficiency. To achieve energy sustainability goals in developed and developing countries, recent research suggested some policy implication considering the post COVID-19 time. If such policy implications are implemented successfully, there are chances that green financing would make energy generation and energy efficiency effective.

A nexus between green digital finance and green innovation under asymmetric effects on renewable energy markets: a study on Chinese green cities

This article examines the innovation in the green sector frequently facing a financial conundrum. Production of renewable energy is the eighth sustainable development, based on the data from the 30 Chinese provinces (2000-2017). This study presents an analysis of the effects of green digital finance on green innovation on protection of environment using influence mechanism analysis. Digital finance, which has become a major driver of green innovations in China, may first increase the number and quality of green technical innovation. The results show that the promotion effect of digital finance on the efficiency of renewable energy markets is greater than the inhibitory effect, making the total effect less obviously favorable. In other results, the elasticity of lnGFDI is significant at the 5% level and is 0.1545% and 0.1880% in the present and 1-year delayed periods, respectively. Further, the average total effect of FDI on the effectiveness of green innovation is 0.008, with an average encouraging effect of 0.0051 and an average inhibiting effect of 0.0039. We conclude that diverse behavior for that policy support increases the impact of green digital finance, promote green innovation, and generate emission free environment for sustainable energy markets.

China's energy policy and sustainable energy transition for sustainable development: green investment in renewable technological paradigm

It is generally accepted that China is a significant cause of global warming and other climate change consequences. This paper applies panel cointegration tests and autoregressive distributed lag (ARDL) techniques to investigate the interactions among energy policy, technological innovation, economic development, trade openness, and sustainable development using panel data from China from 1990 to 2020. Results explain that renewable energy policy and technology innovation are negatively associated with sustainable development. However, research shows that energy use significantly increases both short-term and long-term environmental damage. The findings show that economic growth has a lasting impact on the environment by distorting it. The findings recommend that politicians and government officials hold the key to attaining a green and clean environment by focusing on developing the proper energy policy mix, urban planning, and pollution prevention without compromising economic growth.

Assessing the determinants of renewable energy and energy efficiency on technological innovation: Role of human capital development and investement

With rising global production and population, the globalized globe has also seen severe environmental damage. This is why renewable energy sources are important for the planet's future and human progress. In order to fight climate change and decrease emissions, promoting energy efficiency is one of the most valuable strategies. Trade patterns across borders, however, have significantly evolved. This analysis provides new evidence regarding the influence of technological progress, and more specifically, industrial innovation, on the OECD countries' international competitiveness. This article aims to analyse the effects of international commerce, FDI, and human capital on the development of renewable energy sources, energy efficiency measures, and cutting-edge technologies. In this analysis, we look at how different variables, including GDP per capita, trade, FDI, human capital, and urbanization, affect one another. To conduct the analysis, researchers used a pool of annual time series data from 2000 to 2019 for OECD economies. The long-term relationship between the variables is estimated using the AMG estimation, Cup-FM, and Cup-BC test. AMG estimation, Cup-FM estimation, and Cup-BC estimation were all used, providing valid results for the investigation. Research shows that energy efficiency, renewable energy, and technological innovation are negatively affected by FDI and urbanization but positively affected by GDP per capita, trade, and human capital. There is no statistically significant effect of human capital on the dependent variables. The estimated results also provide important policy consequences for the chosen and the other emerging economies in creating an adequate route ahead to sustainable development.

Does green technology advancement and renewable electricity standard impact on carbon emissions in China: role of green finance

Renewable energy growth should be accelerated in order to meet our goal of carbon neutrality and peak carbon emissions. Laws like the Renewable Electricity Standard (RES) are becoming increasingly important in producing renewable energy. Using green technology advancements is seen as balancing economic growth with environmental security. Though the connection between green technology advancements and CO₂ emissions is poorly understood, empirical research is lacking, especially in developing countries. Climate change action now falls under a single overarching contract, signed in Paris on November 4, 2016. Global warming mitigation aims to keep temperature increases to no more than 2 °C above preindustrial levels. By 2060, China intends to reach carbon neutrality by developing green technologies (GTI). Because of these interconnections, this research explores the relationship between green technology innovation (GI) and renewable energy investment (REI) in selected Chinese provinces from 2005 to 2019. GI, REI, urbanization, industrial value-added, and income per capita were all considered in the STIRPAT model. We used a panel of chosen regions to test two relatively new panel estimation methods empirically: "continuously updated fully modified" (Cup-FM) and "continuously updated bias-corrected" (Cup-BC). According to our findings, urbanization and green technological developments positively impact CO₂ emission reduction. The panel also finds that investments in renewable energy and the industrial sector fail to reduce pollution levels. A positive and negative coefficient of income per capita indicates that the inverted U-shaped EKC hypothesis is valid for the Chinese provinces. The results provide vital strategy insights and recommendations for the panel of experts and countries worldwide.

Renewable energy, industrial upgradation, and import-export quality: green finance and CO2 emission reduction nexus

There has been a steady decline in carbon dioxide emissions in the world's 19 most industrialized nations even as GDP has increased. These nations' efforts to reduce emissions of carbon dioxide, therefore, to reduction of CO₂ and development of renewable energy are the objective of this research. With the years 1995-2019 as a point of reference, we have selected gross domestic product, GDP, RE, industrial upgrading, and import and export as our independent variables. A panel nonlinear autoregressive distributed lag (NARDL) method is utilized to investigate the links between carbon dioxide emission and these independent variables. For the purpose of determining the direction of causation, the panel heterogeneous causality test is used. RE and standards of export and import were shown to be contributing variables in the decrease of carbon dioxide emissions. The environmental Kuznets curve hypothesis was validated by the estimated findings. Increased carbon dioxide emissions are countered by the positive impulses of technological progress, such as R&D development spending and standards of import and export index. Industrial upgrading and emissions of carbon dioxide, gross domestic product and RE, and industrial upgrading and emissions of carbon dioxide, all have a bidirectional causal link. In particular, a one-way causality between gross domestic product and emissions of carbon dioxide, standards of imports and exports, and industrial upgrading, and industrial upgrading and standards of imports and exports is demonstrated. Following the results, policy suggestions are put out.

Impact of green finance and environmental protection on green economic recovery in South Asian economies: mediating role of FinTech

Green finance and digital finance are cornerstones of sustainable growth. Given the significant investment and funding challenges that South Asia's new energy development faces, the potential role of digital finance in this situation is uncertain. Applying panel regression analysis and using a two-step generalized method of moments (GMM) to eliminate endogeneity, this study examines the connections between green finance, financial technology (FinTech), and high-quality economic development using data from three South Asian economies between 2000 and 2018. The study demonstrates that India, Bangladesh, and Pakistan use multiple green financing initiatives, resulting in a considerable decrease in commercial CO2 across the review period, which extends environmental protection and confirms the green economic recovery. FinTech development also helps reduce CO2 emissions, making a favorable contribution. Selected South Asian countries are on track to become world leaders in green finance strategy implementation, and authorities must speed up the development of green recovery and services and strengthen banking institutions' ability to provide green loans. FinTech and green finance, it turns out, have a significant impact on green economic development. The study also has policy implications for the associated stakeholders.

Impact of Covid-19 on economic recovery: empirical analysis from China and global economies

This research aims to utilize quarterly global VAR data from April 1, 2020, to September 30, 2021, to assess the influence of the economic recovery of China following the COVID-19 outbreak on global economies. China is one of the first big economies globally to show indications of recovery following the COVID-19 pandemic. The nation's economic growth has the biggest long-term influence on middle-income nations (0.17%) followed by low- and middle-income economies (0.16%) and high-income economies (0.16%) (0.15%). The chain reaction of China's economic growth is most visible in high-income nations (0.11–0.45%), followed by middle-income countries (0.08–0.33%) and low-income countries (0.02–0.05%). Our findings show that the post-COVID-19 economic rebound in China will mostly benefit middle-income nations, with low- and middle-income countries following closely after. After COVID-19, the influence of the economic recovery of China is most visible in the rise of energy consumption in high-income nations, followed by middle-income economies. It is also worth noting that the influence of China's economic expansion on low- and middle-income economies does not always imply a rise in energy consumption. Overall, China's economic recovery has a significantly stronger influence on other countries’ economic development than other countries’ energy consumption has on other economies’ growth.

Assessing mechanism of financial institutions' role in managing environmental vulnerabilities

The study estimates whether the role of non-banking financial institutions in managing economic vulnerability contributes to whether non-banking financial institutions' role in managing economic vulnerability contributes to higher economic welfare at the public level in Pakistan. The empirical estimation is carried out on secondary data ranging from 1990 to 2020. Using autoregressive distributed lag estimation technique, short-run and long-run effects on non-banking financial institutions are examined. The study contributed to the following: the short- and long-run connection between economic development and non-banking financial institutions (NBFIs) was found, while an experimental outcome indicated a causal connection between NBFIs and financial development improvement. Moreover, the non-banking financial institutes reduce the economy's real sector due to excessive risk in the financial sector. Our results reveal a correlation between non-banking financial integration and economic growth changes related to an expansion in loan recipients. The nominal interest rate significantly explains the economic growth of Pakistan. NBFI part in the liquidity procedure of budgetary resources is said to be in charge of financial development in creating nations. General consequences of the examination on NBFIs demonstrated a positive effect on the financial development of Pakistan. From policy viewpoint, the study suggests multiple policy implications to the practitioner of non-banking financial institutions and the national economy to curtail the adverse effects of economic vulnerability on national economic welfare in the public.

Sustainable impact of COVID-19 on education projects: aspects of naturalism

History records show that pandemics and threats have always given new directions to the thinking, working, and learning styles. This article attempts to thoroughly document the positive core of coronavirus 2019 (COVID-19) and its impact on global social psychology, ecological stability, and development. Structural equation modeling (SEM) is used to test the hypotheses and comprehend the objectives of the study. The findings of the study reveals that the path coefficients for the variables health consciousness, naturalism, financial impact and self-development, sustainability, compassion, gregariousness, sympathy, and cooperation demonstrate that the factors have a positive and significant effect on COVID-19 prevention. Moreover, the content analysis was conducted on recently published reports, blog content, newspapers, and social media. The pieces of evidence from history have been cited to justify the perspective. Furthermore, to appraise the opinions of professionals of different walks of life, an online survey was conducted, and results were discussed with expert medical professionals. Outcomes establish that the pandemics give birth to creativity, instigate innovations, prompt inventions, establish human ties, and foster altruistic elements of compassion and emotionalism.

How green finance and financial development promote green economic growth: deployment of clean energy sources in South Asia

A major issue for governments in the past few decades has been environmental deterioration caused by economic activity. Researchers are increasingly interested in the factors that contribute to environmental deterioration. This research fills the empirical gaps by looking at the influence of carbon footprints of growth and R&D investment on green finance development of renewable energy. Ordinary least square (OLS) is used in this work to assess the long-term connection between chosen variables in South Asia from 1995 to 2018. The importance of green finance, clean energy, and green financial instability have been identified as major variables. According to the study's overall findings, clean energy, green finance, and sustainable economic growth are all important and positive indicators of a composite assessment of sustainable practices. Green bonds, reducing greenhouse gas emissions, and green economic development all play an important part in green finance development and renewable energy production. The research also found that R&D expenditures had a positive and substantial influence on green finance development in South Asia, with a 1% increase in R&D expenditures lowering the sustainability of the environment by 0.070% and 0.080%. Other practical consequences for South Asia include a more suitable path toward a greener economy, as suggested by the projected findings.

Determining the COVID-19 effects on spillover between oil market and stock exchange: a global perspective analysis

This paper investigates volatility spillovers between the global crude oil market and the stock markets of the global oil stock markets (Russian, Canada, China, Kuwait, and the USA) pre and after the COVID-19 pandemic. We use wavelet Granger causality methods to study the volatility spillovers between global oil stock markets, mainly from January 1, 2019, to March 31, 2021. Our Results (1) shows that WTI and Brent oil prices had a negative mean return before COVID-19 but a positive mean return during the pandemic spread. Other Results (2) find the positive, significantly lowest, and highest frequency during the COVID-19 outbreak for all selected countries. The results also show that the link between oil WTI & Brent prices and stock markets return in the lowest (33-66 days) and highest frequency range (4-16) before the Covid-19 epidemic, especially in the first quarter of 2020. Before the COVID-19 period, the Russian oil stock market is seriously prejudiced with oil prices on a modest scale, but not after the pandemic's start. This study also perceives direction opposite between the COVID-19 period. The Canadian and United States America oil and stock markets influence the lowest scale in the previous COVID-19 sample for the U.S. market. Moreover, this paper exposed that oil marketing highest oil futures in their portfolios than stock shares for all times. We found that oil price shocks had a more significant impact on the stock markets of the United States and Canada than on the stock markets of other countries.

Modeling the dynamic nexus among CO2 emissions, fossil energy usage, and human development in East Africa: new insight from the novel DARDL simulation embeddedness

This study investigates the relationship among CO₂ emissions, human development index, and fossil energy usage. Essentially, the study was informed by the Sustainable Development Goal 7, which stipulates universal access to renewable and contemporary energy technologies. We employed the novel dynamic autoregressive-distributed lag (DARDL) simulations with a dataset spanning between 1980 and 2020 from East Africa Community (EAC). The study revealed that human development, access to electricity, and trade have a strong correlation with carbon emissions in the long term, whereas fossil energy usage and economic growth have a negative connection with carbon emission. On the other hand, in the short run, human development and fossil energy usage have a positive correlation with carbon emission, while economic growth and foreign direct investment have a negative correlation with carbon emission. Thus, policies that are tailored to enhance the political environment in East Africa are crucial to ensuring realistic access to clean and modern electricity. In relation to the environmental policy of the East African Community; this study advocates for measures to increase the availability of less harmful and renewable energy sources, as well as investments in energy-efficient technologies.

Exploring the Relationship between Energy and Food Security in Africa with Instrumental Variables Analysis

The well-being of human populations and their sustainable development are strongly predicated on energy and food security. This is even more true of Africa due to often suboptimal food production, undernourishment, and extreme poverty. This article researches the relationship between energy and food security using Cobb–Douglas production functions based on the World Development Indicators data for 28 African countries. The methodological approach includes cross-sectional dependence and unit root tests, instrumental variables two-stage least-squares and generalized method of moments, and panel Driscoll–Kraay standard errors. Results suggest that the promotion of energy security promotes food security. This is possible because food production and distribution are energy-intensive. Therefore, energy is fundamental to achieving food security and zero hunger. The availability, affordability, accessibility, and acceptability of energy can thus help to fix the growing agricultural production shortage in Africa. An important policy focus should be on achieving energy security.

SME financing role in developing business environment and economic growth: empirical evidences from technical SMEs in Vietnam

Distinguishing the significance of business environments for technical small and medium-sized enterprises (SMEs), this study examines the connection between business environments, GDP growth, and SMEs' financing choices in Vietnam. The study considered the agency theory as a theoretical base to explain how information asymmetry between SMEs and lenders influences SMEs' financing choices and encompasses the effects on business environment and GDP growth of Vietnam. For this binary logistic regression, text is applied. Global Entrepreneurship Monitor and World Bank data were analyzed. The findings of the study are robust and showed that SME financing (e.g., formal and informal) under the financial infrastructure and tax regulation may enhance formal credit choice and reduce informal credit choice. This enhances the depth in the business environment of technical SMEs and found significant effects on GDP growth. For the first time, this research examines the impact of information asymmetry and agency theory on restaurant financing choices. The research has significance for industry practitioners and governments interested in SMEs' financial viability. On the recent topicality, study also presents policy implications for key stakeholders.

Role of green financing and financial inclusion to develop the cleaner environment for macroeconomic stability: Inter-temporal analysis of ASEAN economies

The research objective is to assess the role of green financing and financial inclusion in developing a cleaner environment for macroeconomic stability in ASEAN economies. The study attempted to estimate the climate mitigation factor associated with a more sanitary environment between 2012 and 2019. Panel data analysis using the augmented Dicky–Fuller test, Phillip–Perron, and fully modified standard most minor square test provides long-term findings in panel data analysis. In addition, the vector error correction technique was also applied to infer study results. The findings indicate that climate change mitigation indicators have a significant impact on the gross domestic product of ASEAN economies. According to the data, a one percent rise in the green finance index results in a 0.321 percent increase in the amount of pollution removed from the environment. According to the research findings, environmental pollution must be decreased, and energy sources must be switched to more creative and ecologically friendly alternatives. Using study findings, several policy recommendations are offered and suggested for stakeholders for implementation. As per our best understanding, effective implementation of study findings and suggestions maximum chances are developing a cleaner environment and boosting macroeconomic stability in the ASEAN context.

Energy financing for energy retrofit in COVID-19: Recommendations for green bond financing

The aim of study is to estimate the role of energy financing for energy retrofit in COVID-19, with the intervening role of green bond financing. For this, Kalman technique is applied to infer the empirical findings. It is found that energy financing is significantly dependent on green bonds, and green bonds have a significant role in energy retrofit in E-7 economies specifically. It is further found that E-7 economies gained significant rise in energy efficiency financing green bonds financing, that has supportively extended energy retrofit - before and during COVID-19 crises. It is further found significant that the E-7 nations have to put alot of money into hydro and nuclear energy for energy retrofit, with low carbon emissions. In the light of COVID-19 crises, this study offers policy recommendations for effective energy management. However, such policy recommendations are expected to finely serve the financial intermediaries and national governments of E-7 economies to better optimize energy financing through green bond financing. The novelty of the study exists in topical framework and research directions, talking about the way forwards for energy efficiency financing - which is one of the latest issue of the recent times. Hence, this research provides some empirical verifications about energy financing in COVID-19 crises for energy retrofit, and shares some suggestions for stakeholders.

Assessing the performance of sustainable entrepreneurship and environmental corporate social responsibility: revisited environmental nexus from business firms

Society is currently contemplating sustainable growth strategies, which have become somewhat apprehensive by associating entrepreneurship, innovation, and sustainable development. In this perspective, this article's objective is to connect sustainable development to environmentally sensitive entrepreneurship via scientific proof of developing nations. Therefore, this research objective is to confirm the hypothesis of corporate social responsibility (CSR) to confirm that Pakistan achieves its objectives for sustainable development. The combined average estimator and pooled mean group (PMG) model of the self-release lag model determines a lengthy-term combination of factors and environmental analysis in the Kuznets. We can see the U-shaped ecological arcs in Pakistan. Further results show that the pooled mean group autoregressive distributed lag (PMG-ARDL) estimator has a long-term relationship. This indicates that a 1% rise in per-capita income at some stage of industrial growth will reduce environmental emissions by 2.88%, 4.54%, and 2.48%. The results show that (1) CSR has a substantial and robust link to the two factors of organizational success (employee engagement and credibility); (ii) respectively socio-cultural and ecological CSR make a positive contribution to the success of Pakistani companies; (iii) the ecological dimensions of CSR being the essential relevance to Pakistani companies' credibility and engagement of employees. This research attempts to include additional analytical information on the contribution of CSR to profitable growth. This also has academic and empirical ramifications, showing how domestic and international companies in developing countries can do CSR. This research is expected to give guidance to policymakers.

Evaluating an economic application of renewable generated hydrogen: A way forward for green economic performance and policy measures

Energy security and environmental measurements are incomplete without renewable energy; therefore, there is a dire need to explore new energy sources. Hence, this study aimed to measure the wind power potential to generate renewable hydrogen (H2), including its production and supply cost. This study used first-order engineering model and net present value to measure the levelized cost of wind-generated renewable hydrogen by using the data source of the Pakistan Meteorological Department and State Bank of Pakistan. Results showed that the use of surplus wind and renewable hydrogen energy for green economic production is suggested as an innovative project option for large-scale hydrogen use. The key annual running expenses for hydrogen are electricity and storage costs, which have a significant impact on the costs of renewable hydrogen. The results also indicated that the project can potentially cut carbon dioxide (CO2) pollution by 139 million metric tons and raise revenue for wind power plants by US$2998.52 million. The renewable electrolyzer plants avoided CO2 at a rate of US$24.9-36.9/ton under baseload service, relative to US$44.3/ton for the benchmark. However, in the more practical mid-load situation, these plants have significant benefits. Further, the wind-generated renewable hydrogen delivers 6-11% larger annual rate of return than the standard CO2 catch plant due to their capacity to remain running and supply hydrogen to the consumer through periods of plentiful wind and heat. Also, the measured levelized output cost of hydrogen (LCOH) was US$6.22/kgH2, and for the PEC system, it was US$8.43/kgH2. Finally, it is a mutually agreed consensus among environmental scientists that the integration of renewable energy is the way forward to increase energy security and environmental performance by ensuring uninterrupted clean and green energy. This application has the potential to address Pakistan's urgent issues of large-scale surplus wind- and solar-generated energy, as well as rising energy demand.

How financial development affects green energy finance? Relationship between environmental regulation and economic performance

The construction of green finance index is a three-tiered process that involves macroeconomic, ecological, and monetary indicators. Therefore, this research is one of the first thorough assessments of the impacts of green financing regulations in China, examining 30 provinces during the period of 2010 to 2017. Data envelopment analysis models for 30 provinces in China have been tested by using non-radial models and longitudinal datasets. The findings demonstrate that between 2010 and 2017, the efficiency of China's provinces such as Beijing, Fujian, Guangdong, Hainan, Hebei, Jiangsu, Liaoning, Shandong, Shanghai, Tianjin, and Zhejiang and provinces of central regions as well as western provinces of country green economies has increased with distinct geographical disparities becoming more apparent. The geographical distribution of economic efficacy in the green economy is greatest in the eastern parts and poorest in the Chongqing, Gansu, Guangxi, Guizhou, Inner Mongolia, Ningxia, Qinghai, Shaanxi, Sichuan, Tibet, Xinjiang, and Yunnan. The study revealed that sustainable financial growth may be accomplished via the creation of green financing, which can be achieved by employing different solutions across the macroeconomic, institutional, and ecological considerations. The western and central areas, however, have a significant negative association. There are substantial variations in factors at the state and federal level from the viewpoint of dependent variables. Eventually, the research offers some suggestions for future ecological impact of China, along with the creation of new environmental legislation.

Unlocking the role of energy poverty and its impacts on financial growth of household: is there any economic concern

The major purpose of this study is to assess racial disparity and energy poverty index by measuring energy poverty index by using data envelopment analysis and regression equation from South Asia (2001-2018). An energy poverty index is quantifying the size and scope of energy poverty, and DEA is used to investigate the relevance of socioeconomic position to multidimensional energy poverty. In multidimensional energy poverty, location, house ownership position, number of dependents, and the age of the main caregiver have an important positive impact. Our research has shown that Bhutan is the most susceptible nation with an energy poverty index of (0.02), Maldives (0.03), and Bangladesh (0.11), while India (0.86) and Pakistan (0.49) are the least likely to be energy poor as regards energy poverty. Of the total energy production, 78% is based on traditional fuels, followed by 12% based on petroleum products. The Gini index indicates a positive association with the energy poverty index at a 5% significance level. This signifies that these socioeconomic indicators positively contribute to the energy poverty index level. This study developed more synchronized policies to eradicate energy poverty and can provide a way forward for policymakers to develop strategies to implement them suitably in the regional power sector.

How do environmental regulations affect carbon emission and energy efficiency patterns? A provincial-level analysis of Chinese energy-intensive industries

This study measures the environmental regulation effect and pattern of carbon emission and energy efficiency through data envelopment analysis and econometric estimation. One of the most important ways to achieve a green transition is promoting technical progress through environmental regulation. Though China has witnessed rapid economic growth over the last two decades, the country can improve it further through adopting sustainable green energy and establishing more energy-efficient industries to strike a good balance between economic and social developments. The oil and carbon dioxide emission performances form the most important metrics. This study uses panel data from 30 Chinese provinces from 2008 to 2017 to assess the effect of environmental regulation on energy production. The nonradial directional distance function (NDDF) is used to measure the total factor energy efficiency index (TFEEI). The panel system GMM model, which can effectively address endogenous problems and regional variability, is utilized to research the nonlinear relationship between environmental regulations and EEI under various environmental regulations to study it. The findings reveal a considerably modest total average EEI amount for energy-intensive industries, averaging between 0.55 and 0.58, which is way below the ideal value (i.e., 1). Furthermore, the results of the dynamic panel data model revealed a significant U-shaped relationship between China's EEI and environmental regulation. The results show that as the values of market-based environmental regulations (MERs) and command and control environmental regulations (CCERs) exceed the corresponding levels, the impact of environmental regulation on the TFEEI increases gradually. This study will aid policymakers in better understanding the efficacy of different levels of environmental regulations to make more educated decisions.

Nexus between fiscal imbalances, green fiscal spending, and green economic growth: empirical findings from E-7 economies

The green economy is viewed as a cost-effective means of achieving sustainability around the globe, and a recent study inferred the nexus between the fiscal imbalances and green economic growth based on E-7 economies data. This paper attempts to answer how green fiscal spending ensures green economic growth and stabilizes fiscal imbalances in E-7 economies. The study findings highlighted the mechanism and viability of green fiscal spending for fiscal imbalances and green economic growth. More specifically, results showed that green fiscal spending extends green economic growth in Brazil with 30%, in China with 44%, in India with 11.8%, in Indonesia with 34%, Russia with 29.7%, and Turkey with 22.4%, respectively. Based on the findings, the following are our recommendations: (i) local governments should rebalance their fiscal budgets and invest more on public goods to assess local sustainable development, and (ii) several development initiatives specific to the local level should be employed to maximize fiscal spending.

How marine tourism promote financial development in sustainable economy: new evidences from South Asia and implications to future tourism students

The ocean economy and marine tourism policies are global economic concerns being looked at from a deeply holistic viewpoint. For South Asian countries, the ocean economy and marine tourism have successive socio-economic importance. The quantification of the ocean economy and marine tourism also poses some major challenges, and these challenges pose limitations for policymaking by the government and other relevant agencies. The study has used the newly developed hidden panel cointegration test, and the nonlinear panel autoregressive distributed lag (NPARDL) model for a relationship between economic growth and tourism is assessed. This study offers consistent and reliable results of cointegration by incorporating the findings of four approaches to cointegration. The empirical results illustrate the asymmetric relationship between ocean and marine tourism and economic growth. The findings showed that 1% increase in long-term tourism economic growth is adjusted by 2.95% annually. This research paper aims to provide a policy related to South Asia's economic activities and ocean and marine tourism economic significance. Protecting local marine protected areas (MPAs) will improve the economic benefits of the ocean and the marine economy. The policy suggests that there should be a law ensuring that marine tourism is of high quality and environment friendly. This paper provides a guideline for further research with a strong emphasis on ocean- and marine-related economic development and tourism.

Assessment of sustainability and uncertainties of oil markets: mediating determinants of energy use and CO2 emissions

The current paper investigates the sustainability growth problem in the USA and evaluating the co-integration relationship among all variables, including oil, carbon emission, and consumption of energy. We also determine the impacts of energy consumption on the USA economic growth, government spending, and trade openness. We used the co-integration and popular lag model (ARDL) to find the long-term and short-term relationships between all study variables. The empirical results show that (1) the crude oil prices increase and adverse impact on energy demand and government expenditure during the study periods, and CO₂ emission negatively affects USA economic growth. In addition, (2) the innovative accounting method (ICA) results, we used further research to research the causality between study variables. The empirical results propose that oil prices affect the country's economy responsible for more energy consumption, and the causal effect between consumption of energy and economic growth is not relevant. Wastage of energy allows the system to produce more CO₂ emissions. Model results find that the one-sided causal effects of economic growth and CO₂. We see during the analyses that (CO₂) emissions will negatively impact the country's economy. Therefore, country policymakers are expected to change fossil fuel energy to non-fossil fuel energy as an essential component of the USA's economic growth policies.

Financing for energy efficiency solutions to mitigate opportunity cost of coal consumption: An empirical analysis of Chinese industries

This study measures the energy rebound effects of Chinese energy and coal power use in Chinese energy-intensive industries by using latent class stochastic frontier models like LMDI, and other various econometric estimation approach for coal-supplying regions in China ranging between 1992 and 2018. The findings reveals that China's coal sector's average capacity consumption is 0.81%, with a pattern of first increasing and then decreasing, falling to 0.68% in 2016 specifically. The coal capacity operation rate concerning low as well as depleted regions is generally strong, with limited space for expansion. In 2015 and 2016, the utilization rate of coal production potential in moderate-producing areas fell about 42%. Economic development variables affect the capacity utilization levels of moderate, weak, and depleted generating regions. At the same time, the price volatility cannot induce a practical improvement in the ability utilization rate, which means that China's coal industry is mainly un-marketized. China's energy efficiency increased about 19.98% among 2000 and 2016, while the rapidest expansion pattern has been noted in the eastern province at 39.86%, next to central (11.71%) and western regions (9.59%). The take back impact via the renewable energy and renewable productivity channels is estimated as 12.34% and 25.40%, respectively. Therefore, the take back impact is of significant importance regarding energy preservation, as China's cumulative renewable energy use is equal to China's aggregate energy use. On such findings, recent research also contributed by presenting novel policy implications for key stakeholders.

Revisiting SDG-7 under energy efficiency vision 2050: the role of new economic models and mass digitalization in OECD

Policies on reducing energy demand should incorporate the newly formed economic models, digitalization, and consumer awareness trends. Therefore, this study analyzes the interaction of the three trends with SDG7 under energy efficiency vision 2050, measuring the energy efficiency of OECD from 2005 to 2017 to enable this inclusion. In this context, four new trends expected to shape future energy demand are identified through extensive consultation with experts from South Asian countries by developing future power demand for the year of 2050. Consequently, the results show a crucial impact of such trends on a future power demand that exceeds the economic potential of techno. Hence, the best-case scenario, "New Trends Efficient," reduces final energy demand by 78% compared to the South Asian "Baseline" scenario in 2050, whereas the "Worst Case" scenario increases final energy demand by 35%. Therefore, Austria and Korea have the highest energy efficiency score of 0.76 and 0.75, whereas Canada and Chile have the lowest energy efficiency score of 0.41 and 0.42. This paper discusses the ability of digitalization and energy consumer awareness trends in shaping the future energy demand based on SDG 7, emphasizing the importance of energy efficiency vision 2050 in policymaking for effective acquisition.

Testing role of green financing on climate change mitigation: Evidences from G7 and E7 countries

The study estimates the long-run dynamics of a cleaner environment in promoting the gross domestic product of E7 and G7 countries. The recent study intends to estimate the climate change mitigation factor for a cleaner environment with the GDP of E7 countries and G7 countries from 2010 to 2018. For long-run estimation, second-generation panel data techniques including augmented Dickey-Fuller (ADF), Phillip-Peron technique and fully modified ordinary least square (FMOLS) techniques are applied to draw the long-run inference. The results of the study are robust with VECM technique. The outcomes of the study revealed that climate change mitigation indicators significantly affect the GDP of G7 countries than that of E7 countries. The GDP of both E7 and G7 countries is found depleting due to less clean environment. However, green financing techniques helps to clean the environment and reinforce the confidence of policymakers on the elevation of green economic growth in G7 and E7 countries. Furthermore, study results shown that a 1% rise in green financing index improves the environmental quality by 0.375% in G7 countries, while it purifies 0.3920% environment in E7 countries. There is a need to reduce environmental pollution, shift energy generation sources towards alternative, innovative and green sources.The study also provides different policy implications for the stakeholders guiding to actively promote financial hedging for green financing. So that climate change and envoirnmental pollution reduction could be achieved effectively. The novelty of the study lies in study framework.

Assessing the capacity of renewable power production for green energy system: a way forward towards zero carbon electrification

Ghana suffers from inadequate power supply due to increasing demand though it is amongst the African nations with the highest access to electricity. This research aims to assess the techno-economic potential of wind and solar energy potential for Ghana's northern part. We employ the Weibull distribution function, levelized cost of energy, and net present cost metrics for the economic study. The wind and solar energy resource's structure generated 72,284 kWh yearly. Both systems were identified to be too expensive if implemented under the current financing conditions in the country. The PV systems generated 38,859 kWh/year, representing 53.76% of the total electricity generated in a year, generating renewable hydrogen in the country. The findings show that sizing and management of renewable plants will fulfill the basic annual cooking demands of the populations, which are 785 kg H₂ in Ghana. The countries' capacity for developing solar hydrogen plants is further suggested by generating new solar hydrogen opportunity charts. Considering the significance of hydrogen energy under the renewable energy output, we recommend using hybrid systems for hydrogen production. The findings reveal which flexibility options are critical in key stages of the energy transition to a 70, 80, 90, and 100% renewable energy system.

COVID-19 fear and volatility index movements: empirical insights from ASEAN stock markets

This research aims to look into the effect of COVID-19 on emerging stock markets in seven of the Association of Southeast Asian Nations' (ASEAN-7) member countries from March 21, 2020 to April 31, 2020. This paper uses a ST-HAR-type Bayesian posterior model and it highlights the stock market of this ongoing crisis, such as, COVID-19 outbreak in all countries and related industries. The empirical results shown a clear evidence of a transition during COVID-19 crisis regime, also crisis intensity and timing differences. The most negatively impacted industries were health care and consumer services due to the Covid-19 drug-race and international travel restrictions. More so, study results estimated that only a small number of sectors are affected by COVID-19 fear including  health care, consumer services, utilities, and technology, significance at the 1%, 5%, and 10%, that measure current volatility's reliance on weekly and monthly variables. Secondly, it is found that there is almost no chance that the COVID-19 pandemic would positively affect the stock market performance in all the countries, mainly Indonesia and Singapore were the countries most affected. Thirdly, results shown that Thailand's stock market output has dropped by 15%. Results shows that COVID-19 fear causes an eventual reason of public attention towards stock market volatility. The study presented comprehensive way forwards to stabilize movement of ASEAN equity market's volatility index and guided the policy implications to key stakeholders that can better help to mitigate drastic impacts of COVID-19 fear on the performance of equity markets.

Assessing the nexus between financial development and energy finance through demand- and supply-oriented physical disruption in crude oil

Since 1970, numerous governments have established strategic petroleum reserves (SPRs) in relation to oil supply interruptions. In this study, important oil reserves, physical oil supply disruption and social welfare losses due to physical distribution of oil supply have been measured. The physical oil supply disruption has been measured in the form of oil supply vulnerability index and oil volatility index of the South Asian economies. Analysis reveals that the accumulation and drawdown of important national crude oil strategic petroleum reserves where the state wants to optimize individual social welfare while individuals hold over stock optimize their earnings levels. The monetary deciding factors utilize the government's optimum important stockpile policy and simultaneously the amount and economic factors vital for the nongovernment market to actuate the optimum accumulation and nonaccumulation of important fossil fuels stockpile. Additionally, findings show that India is the lowest crude oil insecure country while Afghanistan and Bangladesh are the highest insecure countries in terms of oil supply. India's topmost mark shows a bigger possibility to alter the fossil fuels producers while Afghanistan, Bangladesh, Bhutan and Nepal have the minimum mark corroborating the group as the utmost producer risk exposed nations.

Testing green fiscal policies for green investment, innovation and green productivity amid the COVID-19 era

This article measures renewable energy firm-level pure innovation efficiency, green productivity, technical efficiency, scale efficiency and total investment efficiency from micro input–output factors using Banker, Charnes and Cooper’s (BCC) data envelopment analysis (DEA) approach. Its main novelty is that it clearly explores the effective impacts of government subsidies and tax rebate policies on renewable energy firms’ investment efficiency using China’s renewable energy firm-level panel data. Our observational findings indicate that between 2001 and 2018, the aggregate degree of total investment performance from renewable energy firms rose steadily before declining. Renewable energy firms had larger ranges of total investment efficiency and size efficiency, and their levels of pure technological efficiency were both greater than 0.457%. At the 16% trust mark, current government subsidies and taxation rebates had dramatically positive effects on pure technological efficiency and total investment efficiency; additionally, government subsidies have a stronger positive impact on total investment efficiency and pure technical efficiency than taxation rebates. Furthermore, the ownership concentrations of renewable energy companies greatly encourage pure technological efficiency, size efficiency and total investment efficiency, and asset returns will significantly increase their average degree of total investment efficiency and pure technical efficiency.

Nexus between energy policy and environmental performance in China: The moderating role of green finance adopted firms

This study measures the association between resources and the atmosphere; social and environmental aspects of energy production have become critical. In this context, the aim of this research is to explore the mediating effect of renewable energy patents in developing potential frameworks for energy policy viewpoints on the climate. The study took panel data from 2010 to 2017 and used a non-radial data envelopment analysis (DEA) process and panel data model for 30 Chinese provinces. The findings indicate that between 2010 and 2017, the average environmental efficiency index (EPI) of Chinese areas increased by 9.88%. When firms' internal variables are proxied by their commodity (revenue), the relationship term's point approximate coefficient is about 0.05. This magnitude means that a 1% rise in a company's assets will result in a 5% increase is estimated to be about 0.157, implying that a 1% rise in firm leverage is correlated with a 15.7%. Finally, based on the study results, some policy implications were proposed.

Assessing the mechanism of barriers towards green finance and public spending in small and medium enterprises from developed countries

Due to their different abilities to improve financial growth and improve social development, small and medium enterprises (SMEs) have been referred to as the economy's backbone. Small- and medium-sized enterprises are crucial for both high- and low-income nations' financial development. Customers grow more conscious of their purchase choices, preferences, and environmental consequences. The financial opportunities for SMEs in the United Arab Emirates to use green innovation methods to address potential obstacles for increasing green goods, processes, and management are examined in this paper; as a result, it is critical to reduce clean technology adoption constraints in small- and medium-sized businesses. To identify significant hurdles, sub-barriers, and ways to overcome impediments to green innovation in the United Arab Emirates, we apply an integrated decision process. Following a detailed literature analysis and the assistance of twelve experts, six primary obstacles, twenty-five sub-obstacles, and strategies to reduce the barriers were identified. Primary and sub-barriers were assessed using the FAHP. The (FTOPSIS) approach was used to rank the strategies. Five SMEs in the United Arab Emirates are putting the suggested integrated decision model to the test. "Financial investment levels 0.646 to 11 percent growth level," according to the FAHP, are the most significant hurdles to SMEs adopting green practices. This research demonstrated a considerable beneficial association between SMEs and financial development and funding in the United Arab Emirates. According to this study, using research methodologies to provide green innovation in SMEs is the best strategy to overcome green innovation and adoption hurdles in small and medium firms and increasing their economics.

How energy insecurity leads to energy poverty? Do environmental consideration and climate change concerns matters

The aim of the study is to estimate the nexus between energy insecurity and energy poverty with the role of climate change and other environmental concerns. We used DEA like WP methods and properties of MCDA, a most common form of data envelopment analysis (DEA) to estimate the nexus between constructs. This paper presents a measurement and analysis of G7 countries' energy, economic, social, and environmental performance associated with energy poverty indexes. The study used the multiple, comprehensive, and relevant set of indicators, including energy economics and environmental consideration of energy poverty. The net energy consumption of al G7 economies is equal to 34 percent of the entire world along with the net estimate GDP score of around 50 percent. Using DEA modelling and estimation technique, our research presented valuable insights for readers, theorists and policy makers on energy, environment, energy poverty and climate change mitigation. For this reasons, all these indicators combined in a mathematical composite indicator to measure energy, economic, social, and environmental performance index (EPI). Results show that Canada has the highest EPII score, which shows that Canada's capacity to deal with energy self-sufficiency, economic development, and environmental performance is greater than the other G7 countries. France and Italy rank second and third. Japan comes next with 0.50 EPI scores, while the USA has the lowest average EPI score environment vulnerable even though have higher economic development among the G7 group countries. We suggest a policy framework to strengthen the subject matter of the study.

Evaluating green innovation and performance of financial development: mediating concerns of environmental regulation

This research measures the relationship between green innovation and the performance of financial development by using an econometric estimation during the year of 2000 to 2018 in 28 Chinese provinces. It is intended to explore the relative role of green technological innovation in driving green financial development in the west and central China, as well as how it influences economic growth in these regions. Ordinary least square (OLS) framework was utilized in mainland China to perform empirical studies by using an econometric estimation. This study claims that China has adopted research-based education system, while those for economic growth and expenditure in the regions while the innovation parts results shows that the  tertiary education were 12.42% and 13.53% versus the 10.50% and 10.6% in the eastern area. The research-based education increases the patents in green innovation and boosts the environmental policy. The financial development led to green technological development and innovation. Green innovation and financial development decrease the emissions, and it is apparent that as environmental regulations stimulate technical development, the superiority of human resources increases. The findings indicate that green financing reduces short-term lending, thus limiting clean energy overinvestment, while the long-term loans have little impact on renewable energy overinvestment, and the intermediary effect is unmaintainable. Meanwhile, the green financial growth will reduce renewable energy overinvestment and increase renewable energy investment productivity to certain amount.

Assessing energy efficiency in the Asia-Pacific region and the mediating role of environmental pollution: evidence from a super-efficiency model with a weighting preference scheme

The demand for primary energy resources has increased significantly due to the rapid growth of the global economy and increasing greenhouse gas (GHG) emissions. Therefore, improving energy efficiency levels is essential for global energy, energy security, and environmental sustainability. In the context of the Asia-Pacific region, the study of energy efficiency among different countries can play a role in better energy utilization. These countries also provide a policy for the Asia-Pacific region to improve its energy utilization. This study's primary focus is to investigate the optimal efficiency score of 15 areas of the Asia-Pacific region, and the analysis is based on super-efficiency (radical) and super slacks-based measure (SBM) data in a nonparametric DEA model. Three areas in the Asia-Pacific are selected for energy efficiency measures: South Asia, East Asia, and Australasia. The results suggest that Bangladesh, Pakistan, China, Singapore, New Zealand, the Philippines, Japan, India, Indonesia, Malaysia, Thailand, and Vietnam obtain the most efficient score of 1 in both DEA models throughout the study period. Australia and Sri Lanka receive a low score during all study periods, while Hong Kong does not have data for all study years. The results of the study will help improve energy performance, cost-effectiveness, and environmental sustainability, increasing the competitiveness and scalability of efficient energy sources.

Assessment of rice and wheat production efficiency based on data envelopment analysis

Global warming, energy consumption (EC), and food safety have caused an increase of focus regarding agricultural crop productivity with a principal focus on CEs from crop farming. This study analyzes Pakistan, India, and China's rice and wheat production rating through the CCR and SBM DEA framework. The recorded rice (0.60) and wheat (1.00) production, through the CCR approach, can be considered the highest productivity. The rating productivity of the parallel DMUs for the CCR (or BCC) framework average degree of technical productivity of SBM model of wheat and rice production, which does not adhere to the degree of 100% amongst all countries. Keeping the area's efficiency in mind, the average technical productivity rating recorded through CCR is 0.87, and SBM is 0.86 and is significantly lower than the ideal rating in the original DEA. By decreasing tomato output through farmers' productive operations, energy can be conserved by 21.4% compared to its current level by enhancing the utilization of essential resources, chemical fertilizers, farmyard manure, and water bear comparatively greater trading weights. It is eminent to decrease energy usage and carbon discharge in rice production. Similarly, the high yield and adequate rice plantation methods should be encouraged in the given region.

Assessing the mechanism of energy efficiency and energy poverty alleviation based on environmental regulation policy measures

This work aims to assess multidimensional energy poverty and energy efficiency for environmental policy measures using data envelopment analysis (DEA), a DEA-Like mathematical composite indicator applied on a dataset based on multiple sets of variables from South Asian economies. The multidimensional energy poverty index (MEPI) is computed to analyze the combining effects and energy poverty in these countries. Simultaneously, South Asia's metropolitan areas' population rose by 130 million between 2001 and 2011 and is projected to expand by approximately 250 million by 2030. The findings reveal that endogenous increasing population shocks account for about 72% of energy use. In contrast, the long-term effects of remittance revenue, economic growth, and urbanization on energy use are approximately 20%, 8.25%, and 0.03%, respectively. This work advocates more coordinated and innovative policies to eliminate energy poverty. It can act as a base for policymakers and government officials to make efficient policies and enforce them properly in the regional power sector. Policies should be designed around a smarter use of biomass for cooking, alternate sources for domestic energy production, increased programs for biomass-based cookstoves, and periodic regional-level energy database development.

Does the combining effects of energy and consideration of financial development lead to environmental burden: social perspective of energy finance?

In light of the rapidly growing industrialization in BRICS and G7 regions, thorough energy, financials, and environmental analyses are essential for sustainable financial development in these countries. In this context, this work analyzes the relationship between energy, financial, and environmental sustainability and the regions' social performance. Data from 2000 to 2017 is analyzed through a data envelopment analysis (DEA) like a composite index. Results show China and Brazil's better performance in the region, with a sustainability score of 0.96, India was the third, followed by South Africa and Russia. Japan, the UK, and the USA were the most energy-efficient countries for five consecutive years. A 0.18%, 0.27%, 0.22%, 0.09%, 0.31%, and 0.32% reduction in carbon emission is observed with a 1% increase in R&D costs by Canada, France, Germany, Italy, Japan, and the USA, respectively. This work contributes to the existing literature regarding an eco-friendly sustainable policy design for the G7 countries based on multiple indicators.

Foreign aid and economic growth: Do energy consumption, trade openness and CO2 emissions matter? A DSUR heterogeneous evidence from Africa's trading blocs

The paramount vision of every country or sub-regions is to attain economic growth and sustainable economic growth. The paradigm drift of studies into foreign aid and sustainable economic growth has shown conflicting results that play on researchers to fill the gap of knowledge void. The plurality of studies looked at economic growth and foreign aid in single countries. However, one of the major determinants of sustainable growth such as CO₂ emissions and trade goes beyond the boundaries of a country. Deductively, grouped countries or sub-regional studies are needed to ascertain the heterogeneous relationship and cross-sectional dependency among panels grouping. We fill these gaps with the recent empirical methodology to unveil the impact of foreign aid, CO₂ emissions, trade openness, and energy consumption on economic growth. Thus a percentage rise in foreign aid corresponds to different significant weights in all panel groupings with exception of Southern African Development Community, which unveiled a non-significant estimate. Whereas trade openness in all panel grouping indicated a significant weight on economic growth. An increase in CO₂ emissions has a significant material effect on economic growth in Common Market for Eastern and Southern Africa, Economic Community of West African States, and Community of Sahel-Saharan States. The impact of energy consumption on economic growth across the panel groupings was statistically significant with Common Market for Eastern and Southern Africa having the highest weight impact. These results obtained in this study indicate that foreign aid, energy consumption, trade openness, and CO₂ emissions are positively correlated with economic growth. Based on the finding, the significant of the policy implications suggested. (a) The need for a paradigm shift from fossil fuel sources to renewables is encouraged in the various trading blocs (b) The need to embrace carbon storage and capturing techniques to decouple pollutant emissions from economic growth on the continent’s growth trajectory.

Socioeconomic impacts of domestic biogas plants on rural households to strengthen energy security

The central theme of the study is to assess the socioeconomic impact of household biogas plants on rural households. To this end, the study selected respondents from biogas plant holders and non-holders of biogas plants in rural areas of Muzaffar-Garh. During the field survey, a questionnaire survey was conducted on 40 biogas users in two villages in each Tehsil and 40 non-biogas users in the same village. A survey based on pre-designed questionnaire was conducted, and main data of 320 households in four Tehsil districts (interviewees) in the Muzaffar-Garh region were collected. In this study, biogas is the input variable, while elderly education and total household income are the input socioeconomic variables. Farm productivity, time saving, indoor air pollution, household hygiene, and expenditure are intermediate variables. The output variables include income, health, and education level of minor children aged 2-5 years. Structural equation modeling (SEM) techniques that describe the relationship between input variables and output variables can be used to obtain steadfast results. Based on the estimates, we have observed that BG investments have substantial impacts on farm productivity, time savings, indoor air pollution, household hygiene, and expenditure, which in turn has played a role in improving the status of people. It is concluded that many direct and indirect socioeconomic impacts of holding biogas plants on rural households can be measured. In order to widely promote biogas technology as an alternative energy source nationwide, there must be greater public participation.

Does tradeoff between financial and social indicators matters in environmental consideration: evidence from G7 region

The study tries to discover the impact of financial and social indicators' growth towards environmental considerations to understand the drivers of economic growth and carbon dioxide emissions change in G7 countries. The DEA-like composite index has been used to examine the tradeoff between financial and social indicator matters in environmental consideration by using a multi-objective goal programming approach. The data from 2008 to 2018 is collected from G-7 countries. The results from the DEA-like composite index reveals that there is a mixed condition of environmental sustainability in G-7 countries where the USA is performing better and Japan is performing worse among the set of other countries. The further result shows that the energy and fiscal indicators help to decrease the dangerous gas emissions. Divergent to that, the human and financial index positively contributes to greenhouse gas emissions. Fostering sustainable development is essential to successfully reduce emissions, meet established objectives, and ensure steady development. The study provides valuable information for policymakers.

Trilemma association of energy consumption, carbon emission, and economic growth of BRICS and OECD regions: quantile regression estimation

Recent research has shown a huge impact of non-renewable energy (NRE) production on environmental health. In this context, this work analyzes the effects of GDP growth and long- and short-term consumption of renewable and non-renewable energy (RE and NRE, respectively) on carbon emission in BRICS and OECD economies. The quantile autoregressive distributed lag (QARDL) model was employed on the panel data from 1980 to 2016. Findings suggest a negative GDP-carbon emission correlation and a positive NRE-carbon emission correlation in the considered economies. Furthermore, carbon emission decreases with increase in gross capital formation, whereas trade openness does not have any significant effect on carbon emission. It has been determined that the application of the error correction method (ECM) has less effect on energy consumption as compared to the past levels and changes in energy consumption. In the long-term, a positive correlation of carbon emission and energy consumption is observed, whereas limited short-term effects of energy consumption on carbon emission are observed. Therefore, an RE-based energy production approach is recommended in the selected region for the future projects.

Measuring the association of environmental, corporate, financial, and social CSR: evidence from fuzzy TOPSIS nexus in emerging economies

The purpose of this research is to measure the combing impact of corporate social responsibility on company performance and to conduct a comparative analysis among local and foreign companies in this context. This research aims to conduct an empirical analysis about how corporate social responsibility contributes to company performance. The study utilizes AHP and fuzzy TOPSIS theory to conduct research. The results revealed that environmental corporate social responsibility has a vital role in the development of organizational reputation and employee commitment. It can be observed from the results that the weights of environmental CSR, corporate CSR, financial CSR, and social CSR are 0.30, 0.25, 0.24, and 0.21, respectively. The preference of these four criteria is environmental CSR > corporate CSR > financial CSR > social CSR. The corporate CSR criterion got the maximum weight of 0.30, whereas the social CSR criteria received the lowest weight of 0.21. The financial CSR get weights of criteria 0.25, and the commercial potential obtained 0.24 weights, while the financial CSR got the 2nd highest criteria weight of 0.25, and the social CSR get weights of criteria 0.21 lowest weighted. The research provides valuable information for decision-makers. The study provides a valuable information for policy makers.