Alternative energy and natural resources in determining environmental sustainability: a look at the role of government final consumption expenditures in France

Green trade, governance, finance, and energy efficiency: Shaping environmental landscape in global powerhouses

As global environmental concerns intensify, identifying the key drivers of CO2 emissions (CO2e) becomes vital, particularly for high-energy-consuming nations. The present study delves into the impacts of green trade (GT), energy efficiency (EF), research and development (R&D), economic growth (EG), financial expansion (FE), and population density (PD) on CO2e across the top 20 energy-consuming countries from 2000 to 2022. We introduce three key innovations: (i) a novel environmental governance index (EGI), constructed using a distance-based and time-sensitive method, capturing governance progress under best- and worst-case trajectories; (ii) GT as a direct mitigation pathway, shifting the focus from aid-driven environmental finance to market-linked, credit-based green investment; and (iii) a refined approach to EF, highlighting reductions in carbon intensity per unit of economic output. Using the cross-sectionally augmented autoregressive distributed lags model, our findings highlight that GT and EF consistently mitigate CO2e in both the short and long run, while EG positively impacts CO2e. R&D and EGI effectively curb CO2e only in the long run, whereas FE and PD increase emissions. Notably, EGI moderates these relationships-dampening the adverse effects of EG, FE, and PD, while amplifying the mitigating impact of GT, EF, and R&D. These results are further validated through the common correlated effects mean group and augmented mean group methodologies, reinforcing the consistent influence of these factors on CO2e. The findings offer targeted, institution-sensitive policy recommendations for achieving environmental sustainability.

Environmental management and the circular economy: Analysing the role of environmental fiscal measures in promoting clean production and consumption in OECD countries

Pollution, material waste, and emissions cause environmental degradation. The public sector implements environmental interventions to reduce pollution and emissions and to make waste circular. Environmental fiscal interventions are crucial for reducing emissions, material waste, pollution, and unsustainable production and consumption. This study focuses on the role of environmental fiscal measures in promoting clean production and consumption in 22 OECD countries. Continuously Updated Efficient Generalized Method of Moments (CUE-GMM) and 2-step Efficient GMM methods are applied to panel data from 2000 to 2022. The empirical analysis reveals the positive impact of environmental protection expenditures, renewable energy adoption, and technological innovation on clean production and consumption. However, environmental taxes and credits to the private sector negatively impact and are ineffective and distortionary for the transition to clean production and consumption. The findings validate the public good theory that environmental protection expenditures promote clean production and consumption technologies. However, the Pigouvian tax theory is not valid for the OECD countries. This study suggests re-evaluating the existing environmental taxation framework. The findings imply that tax credits, environmental research and development expenditures, adopting renewable energy sources, and technology for green practices will promote responsible production and consumption in OECD countries.

Accelerating decarbonized economic growth through net-zero entrepreneurship: Low-carbon economic development perspective

Net-zero entrepreneurship is a novel concept introduced in the context of carbon neutrality, and exploring whether it can catalyze decarbonized economic growth is a worthy pursuit. This study constructs a comprehensive, low-carbon endogenous economic growth model to scrutinize the intricate nexus between net-zero entrepreneurship and decarbonized economic growth. Empirical validation employs a series of multiple regression models to rigorously test the hypotheses derived from the theoretical framework using an extensive dataset spanning Chinese provinces. The results reveal a nuanced landscape. (i) Net-zero entrepreneurship plays a remarkable role in promoting decarbonization growth, with considerable regional heterogeneity. (ii) Green technology progress exhibits a notable mediating effect. (iii) Environmental regulation and industrial structure optimization have positive moderating effects. (iv) The results passed alternative dependent variable and one-phase lag regression robustness tests. In a distinct contribution to entrepreneurship literature, this study augments the discourse on strategies to steer low-carbon transitions. The research findings indicate that net-zero entrepreneurship can accelerate the global decarbonization process, and green technology progress is a significant driving mechanism in this process. Additionally, it is essential to strengthen environmental agencies' regulatory oversight and optimize industrial structures to pave the way for transformative sustainable growth. In the future, more entrepreneurs should be encouraged to engage in green technology and business model innovation to contribute to global decarbonization efforts.

A recursive dynamic CGE approach to investigate environmental Kuznets curve

The inverted U-shaped relationship between economic growth and environmental degradation is known as environmental Kuznets curve (EKC) and has been tested in many empirical studies since more than 3 decades. Technological change is one of the tools that can be used to examine the existence of EKC in CGE models. The objective is to extract EKC for G7 countries using a multi-regional CGE model and investigate the effects of some key factors affecting EKC using historical data for the period of 1861-2021. First, we have considered the effects of energy efficiency, on CO2 emissions, on carbon intensity and on economic growth. Then, EKC was extracted based on the obtained results. In addition, the effects of factors such as carbon tax, revenue recycling schemes and various types of substitution elasticities are evaluated on EKC. Our results show that, with a 3% improvement in productivity, by 2050, GDP will increase by nearly 12% and carbon emissions will decrease by 4.4%. The combination of such two effects has led to an inverted U-shaped relationship between economic growth and carbon emissions. Among the elasticity of substitutions, the elasticity of substitution of capital and energy, as well as the substitution elasticity of energy inputs has the greatest effect on EKC. The slope of EKC becomes negative if a carbon tax is imposed. The EKC moves downwards if carbon tax income is transferred to the production tax-cut in renewable sectors. The results suggest that carbon tax and its allocation to renewable sectors will improve environmental effects.

Effects of human inequality and urbanization on ecological well-being performance: A System-GMM analysis

Enhancing the efficiency with which ecological consumption is transformed into human well-being is a necessary condition for achieving sustainable development. However, the current literature lacks systematic methods and applications for scientifically assessing Ecological Well-being Performance (EWP). How to value and index EWP is crucial to improve EWP. This study combines the Human Development Index (HDI), Life Satisfaction (LS), and Ecological Footprint (EF) to construct a new Index of Ecological Well-being Performance (IEWP). Meanwhile, human inequality and urbanization are two common and profound socio-economic phenomena with potential impacts on EWP. Therefore, this study uses panel data for 129 countries from 2010 to 2021 and applies the System-GMM approach to explore the impact of human inequality, urbanization, and the interaction between these two factors on EWP. Our results show that EWP has a cumulative effect in the long run. Human inequality has a negative effect on EWP, while the effect of urbanization is positive. Compared to developed countries, the negative impact of human inequality and the positive impact of urbanization are more pronounced in emerging and developing countries. This paper further reveals that the interaction term inhibits EWP, which indicates that urbanization exacerbates the negative effect of human inequality and that human inequality weakens the positive effect of urbanization. This paper contributes to understanding how human inequality and urbanization affect sustainable development from the perspective of EWP.

Impact of energy imports, renewable electricity production, alternative, and nuclear energy sources on natural gas resource rents

The world faces several problems related to natural gas resource rents and energy production from renewable sources. One of the main problems is the influence of energy imports, manufacturing exports, and alternative energy sources on natural gas and electricity production from renewable sources. Energy imports, manufacturing exports, and alternative energy sources can impact natural gas and electricity production. This paper examines natural gas resource rents and electricity production from renewable sources nexus from 1971 to 2021, using energy imports, manufacturer's exports, and alternative energy sources in China. Electricity production from renewable sources and manufacturing exports are negatively associated with natural gas resource rents. Energy imports and alternative energy sources positively relate to natural gas resource rents in China. These results suggest that the energy sector in China is highly interconnected and that policies that seek to promote renewable energy sources and other alternatives can positively affect natural gas resource rents. China needs to develop an energy policy considering the policy implications of energy imports and natural gas resource rents. Such a policy should focus on increasing domestic production, reducing energy imports, and ensuring adequate revenue from natural gas resource rents. Additionally, regulations could be implemented that support the development of alternative energy sources, such as requiring utilities to purchase a certain percentage of their power from renewable sources.

Analyzing the nexus between environmental sustainability and clean energy for the USA

Environmental sustainability is a key target to achieve sustainable development goals (SDGs). However, achieving these targets needs tools to pave the way for achieving SDGs and COP28 targets. Therefore, the primary objective of the present study is to examine the significance of clean energy, research and development spending, technological innovation, income, and human capital in achieving environmental sustainability in the USA from 1990 to 2022. The study employed time series econometric methods to estimate the empirical results. The study confirmed the long-run cointegrating relationship among CO2 emissions, human capital, income, R&D, technological innovation, and clean energy. The results are statistically significant in the short run except for R&D expenditures. In the long run, the study found that income and human capital contribute to further aggravating the environment via increasing CO2 emissions. However, R&D expenditures, technological innovation, and clean energy help to promote environmental sustainability by limiting carbon emissions. The study recommends investment in technological innovation, clean energy, and increasing R&D expenditures to achieve environmental sustainability in the USA.

Data-driven analysis of Romania's renewable energy landscape and investment uncertainties

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.

The existence of environmental Kuznets curve: Critical look and future implications for environmental management

Against the backdrop of the great challenge of climate change and growing global environmental concerns, this study deals a systematic literature review of research related to Environmental Kuznets Curve (EKC) from 1991 to 2023, details the background, definition, significance, critiques, theoretical foundations and model specifications of EKC, and summarizes the data, variables, econometric methods and findings used in over 100 EKC studies. This study focuses on EKC studies that examine the relationship between energy consumption, economic growth and environmental degradation, with most of the studies reviewed using global pollutants (carbon emissions) to measure the level of environmental degradation. This study found that EKC still has great research potential, and with the development of energy diversification, energy consumption in EKC studies have been further subdivided into renewable or non-renewable energy consumption; innovative EKC studies in the last few years have favoured the use of novel environmental and economic indicators and econometric method, and have validated the existence of EKC at the sectoral level rather than the national level. Finally, the present study summarizes the development and innovations of EKC and provides suggestions for future research aimed at advancing the development of EKC and environmental management.

Numerical simulation and performance optimization of a lead-free inorganic perovskite solar cell using SCAPS-1D

The perovskite solar cells, founded on lead halides, have garnered significant attention from the photovoltaic industry owing to their superior efficiency, ease of production, lightweight characteristics, and affordability. However, due to the hazardous nature of lead-based compounds, these solar cells are currently unsuitable for commercial production. In this context, a lead-free perovskite, cesium-bismuth iodide (Cs3Bi2I9) is considered as a potential alternative to the lead halide-based cell due to their non-toxicity and stability, but this perovskite cannot be matched with random hole transport layer (HTL) and electron transport layer (ETL) materials compared to lead halide-based perovskite because of their crystal structure and band gap. Therefore, in this study, performance comparison of different ideal HTL and ETL materials for Cs3Bi2I9 perovskite layer were studied using SCAPS-1D device simulation on the basis of open circuit voltage, short circuit current, power conversion efficiency (PCE) and fill factor (FF) as well as several novel PSC configuration models were designed that can direct for further experimental research for PSC device commercialization. Results from this investigation reveals that the maximum efficiency of 20.96 % is obtained for the configuration ITO/WS2/Cs3Bi2I9/NiO/Au with optimized parameters such as thickness 400 nm, band gap 2.1eV, absorber layer defect density 1012 cm-3, donor density of ETL 1018 cm-3 and the acceptor density of HTL 1020 cm-3.

Co-digestion approach for enhancement of biogas production by mixture of untreated napier grass and industrial hydrolyzed food waste

The co-digestion of untreated Napier grass (NG) and industrial hydrolyzed food waste (FW) was carried out in the batch reactor to investigate the effect of substrate ratios on biogas production performance. Two-stage anaerobic digestion was performed with an initial substrate concentration of 5 g VSadded/L and a Food to Microorganism Ratio (F/M) of 0.84. The 1:1 ratio of the NG and FW showed the optimum performances on biogas production yield with a value of 1,161.33 mL/g VSadded after 60 days of digestion. This was followed by the data on methane yield and concentration were 614.37 mL/g VSadded and 67.29%, respectively. The results were similar to the simulation results using a modified Gompertz model, which had a higher potential methane production and maximum production rate, as well as a shorter lag phase and a coefficient of determination of 0.9945. These findings indicated that the co-digestion of Napier grass and hydrolyzed food waste can enhance biogas production in two-stage anaerobic digestion.

Renewable energy and natural resource protection: Unveiling the nexus in developing economies

Natural Resource Protection (NRP) has been on the agenda of the Sustainable Development Goals (SDGs) and is considered a pathway to sustainable development. The analysis of the determinants of NRP has received the attention of policymakers in framing evidence-based policies and strategies. Renewable energy (RE) is a major contributor to natural resource protection. However, existing studies have provided inconclusive evidence on the role of renewable energy in the NRP. This study primarily focuses on the assessment of how RE influences NRP in 22 developing economies. This study considers the nonlinear association between RE and NRP. Moreover, the role of governance effectiveness, financial technology, urbanization, and FDI in the NRP were also assessed. Furthermore, the analyses also explore the NRP-Kuznets curve by examining the role of economic growth in the NRP. The study, which detected cross-sectional dependence (CSD), heterogeneity, autocorrelation, and heteroskedasticity in the data, uses pooled regression with Driscoll-Kraay Standard Errors (DKSEs) and GLS for the econometric analysis. The results revealed a U-shaped relationship between renewable energy and NRP. Moreover, governance effectiveness, FINTECH, and FDI contribute to NRP, but urbanization has a negative impact on NRP. The analysis concludes an inverted U-shaped association between GDP per capita and NRP. A Bayesian regression analysis was also performed to validate the robustness of the results. Based on these findings, this study makes policy recommendations for improving NRP. Policymakers should prioritize renewable energy and sustainable resource exploitation through incentives and investments. Improving governance, adopting environmental rules, and involving stakeholders are critical. Financial technology can facilitate long-term investment in sustainability. Sustainable urban design should reduce the adverse effects of urbanization. FDI should be aligned with long-term development goals and appropriate resource management. Balancing economic growth with environmental protection requires multifaceted measures that promote green development and resource efficiency. Policy coherence and stakeholder participation are also critical.

Battling for net zero carbon: the position of governance and financial indicators

Africa, over the past years, has put various measures in place in the fight against carbon emissions. Achieving net zero carbon has caused the continent researchers to investigate various conditions required for a successful transition. Therefore, the political system cannot be left out since it plays a major role in decision-making. This study contributes to previous literature analyzing the empirical effect of financial development and governance quality on carbon emissions. The study is focused on 52 African countries with data from 1996 to 2021. Panel quantile and generalized method of moments are used for the analysis. The result indicates that financial development contributes to environmental degradation, government effectiveness, rule of law, and political stability which promote environmental pollution; however, control of corruption, renewable energy, and economic growth promote ecological sustainability. According to the aforementioned, it is crucial for governments to include financial development plans in national environmental strategies, particularly for those in African nations. Furthermore, governments should put restrictions on trade to control the trade of high-carbon technologies.

GVCs and environmental sustainability in MENA: Do digitalization and institutions make a difference?

The advent of digitalization has brought about profound changes in the global value chain, raising significant concerns about environmental sustainability. However, the environmental consequences resulting from the interplay between global value chain participation and digitalization have not been adequately explored, particularly in the Middle East and North Africa region (MENA). To address this gap, our research delves into the impact of global value chain participation on environmental sustainability in 15 MENA countries from 1996 to 2018. We also investigate the moderating effects of two critical policy variables: digitization and institutional quality, employing the SYS-GMM Panel method and Random Effects method. Empirical findings reveal that participating in the global value chain has positive environmental implications for MENA countries. These results hold true and remain consistent when considering forward value participation linkages and oil-importing nations. Furthermore, we observe that the proposed moderators play a significant role in shaping the environmental impact of the global value chain. Specifically, institutions and global value chains work in synergy to promote environmental sustainability in MENA, encompassing both oil-importing and oil-exporting groups. However, the interaction between the global value chain and digitalization generates a negative net effect, which diminishes beyond a specific digitalization threshold of 10.23%. Consequently, implementing complementary policies becomes crucial when digitization is below this threshold. Additionally, our study supports the resource curse hypothesis for the MENA region, suggesting that natural resources contribute to environmental degradation. These insights offer valuable guidance for enhancing global value chain integration while preserving a sustainable environment in MENA.

The energy-growth nexus in Canada: new empirical insights

Over the past two decades, numerous developed and developing nations have witnessed a remarkable shift from manufacturing-based economies to those that center around the service sector. This development has led to a staggering growth in the consumption of energy-intensive goods, and Canada has not been immune to this trend. Despite being home to abundant energy reserves, the country's economic expansion has manifestly relied on prodigious energy consumption. Within this context of symbiotic energy-economic growth, this study investigates the empirical relationship between energy consumption and economic growth using Canadian time-series data from 1980 to 2020. In doing so, this paper offers a vital contribution to the development of theoretical frameworks within the sphere of endogenous growth. Besides, to arrive at empirical findings, a model known as the autoregressive distributed lag (ARDL) model, renowned for its ability to discern both short- and long-term coefficients, is employed. The results reveal that economic growth has a significant positive long-run effect on energy consumption and other explanatory variables. All variables other than trade openness demonstrate a positive relationship with economic growth in the short run. From Toda-Yamamoto causality test, it is evident that there exist bidirectional causal links between economic growth and energy consumption and between economic growth and financial development. Several unidirectional causalities were also observed for other variables. Based on these findings, it is recommended that Canada boosts its investment in energy infrastructure, especially in rural and backward regions, to deliver necessary energy services. An optimal trade-off between Canada's vast energy resources and economic growth can perhaps be achieved by minimizing the disparity in access to energy services across all parts of the country. Other policy implications are discussed.

Fat tails, serial dependence, and interlinkages of the geopolitical risk and food market during the COVID-19 pandemic and war crisis: an application of Bayesian vector heterogeneous autoregressions

We investigate fat tails and network interconnections of geopolitical risk index and food prices, including the price of corn, rice, and wheat, using seven Bayesian vector heterogeneous autoregression fashions. This paper differentiates dynamically between network interlinkages between these variables during the short, medium, and long runs. We found some noteworthy results in our study. In the first place, network interlinkages exhibit remarkable differences over time. Interlinkages between variables in our designed networks are increased in the short, medium, and long term due to transient events occurring in markets during the studied period. During the Russia-Ukraine conflict, the long-term ties within the system are more significantly impacted. Additionally, based on net-directional linkages, each market's role shifts (from sending to receiving shock and vice versa) during the pre- and post-Ukraine-Russia conflict, whereas these roles persist during the COVID-19 pandemic. Observations of short- and medium-term trends reveal that the geopolitical risk index is shock receivers transmitted to these markets by the rice and corn markets. The results indicate that the geopolitical risk index persists as shock receivers in terms of long-horizon measures.

How do energy supply and energy use link to environmental degradation in China?

China's energy supply and energy use are closely linked to environmental degradation. The country's heavy reliance on coal, oil, and natural gas, as well as its rapidly growing demand for energy, have contributed to air and water pollution, soil erosion, and other environmental problems. To address these issues, China must transition to cleaner and more sustainable forms of energy and implement policies to reduce energy demand and promote conservation. This paper explores the impacts of total primary energy supply and energy use on environmental degradation in China, using international trade and economic growth as moderating variables from 1971 to 2019. The results indicate that the total primary energy supply is significant at a 1% significance level, which suggests that it strongly impacts the ecological footprint. Energy use and international trade are significant at a 5% level, indicating that they also influence ecological footprint, albeit to a lesser extent. Economic growth is significant at a 1% significance level, suggesting a strong positive association with the ecological footprint. Energy supply improves the environment in China, whereas energy use degrades the environment. Policymakers should focus on promoting energy efficiency in the industrial and transportation sectors. This can be achieved through the implementation of energy-saving technologies, the promotion of public transportation, and the development of low-carbon transportation systems.

The asymmetric impact of renewable energy consumption on the economic growth of emerging South and East Asian countries: A NARDL approach

The question of economic development is so essential that specialists, international leaders, and every government are continually working on how to tackle this problem. Renewable energy is a means to save planet's ecology and foster long-term economic viability. This study explores the asymmetric effect of renewable energy consumption (RE) on emerging South and East Asian countries' economic growth by the non-linear autoregressive distributed lag (NARDL) approach. Also, it employs the generalized least square (GLS) method and panel causality test to grasp this impact. The GLS assessment exposes that positive and negative (P&S) mechanisms of RE positively influencing GDP while urbanization has an adverse influence. The PMG approach also delivers equivalent outcomes and authenticates the robustness of GLS results. The causality results provide relations between GDP and other variables. There is a conservation mechanism between the negative shock of RE consumption and GDP, while the positive shock of RE to GDP is observed from the feedback mechanism. We observed different interactions of CO2, P&S shocks of RE, and non-renewable consumption on GDP. These findings support policymakers of South and East Asian countries in formulating effective rules for their financial institutions regarding energy guidelines. In addition, considering P&S shocks from RE specifies that effective outcomes can be attained in economic growth while formulating energy guidelines.

Scrutinizing interlinkages between digitalization, economic complexity, green technologies, green energy consumption and CO2 emission by quantile spillovers in Vietnam

We use quantile vector autoregression (QVAR) to identify the connection between six variables related to digitalization (proxied by a number of Internet users and mobile cellular subscriptions), green technology development, green energy consumption, carbon dioxide emissions, and economic complexity index from 1996 to 2019 in Vietnam. The dynamic connectedness of the system is 62% and 14% in the short and long term, respectively. Their connectedness is intense for highly positive and negative quantiles (over 80% quantile). In contrast, economic complexity transmits shocks in the short term and manifests itself even more in the long term. Green technology development is the central receiver of short- and long-term shocks. Besides, digitalization captured by a number of Internet users has switched from shock transmitters to shock receivers in the short term. Other metrics like mobile cellular subscriptions, green energy consumption, and CO2 emissions are mainly shock-receiver-driven. In the short term, there was volatility, especially from 2009 to 2013, due to unprecedented events like destructive changes in political, economic, and financial issues in the globe. Our findings are critical for economists and policymakers in promoting a country's digitalization, green technology performance, and green energy on the path toward sustainable development.

Impact of energy depletion, human development, and income distribution on natural resource sustainability

Constant exploitation of natural resources has resulted from the industrialization and urbanization of society. One of the possible causes of the COVID-19 pandemic is an ecological disturbance caused by excessive resource exploitation. Countries worldwide have taken precautionary measures to limit the spread of this disease because of its highly infectious nature: lockdowns, quarantines, curfews, etc. This paper explores the impacts of energy depletion and the human development index on natural resources, considering the roles of CO₂ emissions and economic growth in China from 1971 to 2019. We apply advanced economic modeling using the Phillips-Ouliaris test for integration, Gaussian identity mixed-effects Generalized Linear Model, and Robust GEE population-averaged model for long-run estimates. Results explain that CO₂ emissions and economic growth devalue natural resources, while the human development index and energy depletion increase them. Depletion of natural resources occurs due to overexploitation and overuse of natural resources, as well as unsustainable planning and waste. In the case of natural resources that man uses to make other resources, such as dams, roads, sports complexes, etc., these are considered human-made resources. It is, therefore, essential to develop human resources as a part of the natural resource development process. Research limitations and future directions are discussed.

An application of Bayesian vector heterogeneous autoregressions to study network interlinkages of the crude oil and gold, stock, and cryptocurrency markets during the COVID-19 outbreak

We investigate fat tails and network interconnections of crude oil, gold, stock, and cryptocurrency using seven Bayesian vector heterogeneous autoregression fashions. In this paper, we incorporate parameter uncertainty by using Bayesian VAR models for estimation. To make rational investment decisions, we decompose a network of financial assets and commodity prices into various time horizons to obtain essential insight and knowledge. During the short, medium, and long run, this paper differentiates dynamically between network interlinkages between these markets. We found some noteworthy results in our study. In the first place, network interlinkages exhibit remarkable differences over time. Interlinkages between networks are increased in the short term, medium term, and long term due to transient events occurring in markets during the study period. As a result of the ongoing COVID-19 epidemic, the long-term ties within the system are significantly impacted. Additionally, based on net directional linkages, each market's role shifts (from sending to receiving shock and vice versa) before the pre-COVID-19 pandemic course, whereas they remain persistent during COVID-19. Observations of short- and medium-term trends reveal that three markets, namely, crude oil, gold, and stock, receive shocks, which are transmitted to these markets by the cryptocurrency market. In terms of long-horizon measures, the results indicate that the gold and cryptocurrency markets persist as shock transmitters. Our findings are critical since policymakers can also design appropriate policies to reduce the vulnerabilities of such markets and prevent risk spread and instability.

Modification of Flexible Electrodes for P-Type (Nickel Oxide) Dye-Sensitized Solar Cell Performance Based on the Cellulose Nanofiber Film

The preparation of flexible electrode, including working electrode (WE) and counter electrode (CE), for dye-sensitized solar cells (DSSCs) utilizing metal oxides using environmentally friendly sustainable TEMPO-oxidized cellulose nanofibers (TOCNFs) is reported in this work. A new type of flexible electrode for the DSSCs, which were made of cellulose nanofiber composites with nickel hydroxide [CNF/Ni(OH)₂] substrate films and cellulose nanofiber composites with polypyrrole (CNF/PPY). Nickel hydroxide, Ni(OH)₂, has been prepared hydrothermally in the presence of TOCNFs, [TOCNF@Ni(OH)₂]. Similarly, the conductive polymer substrate has also been prepared from a composite consisting of TOCNF and PPY, TOCNF@ PPY film, by means of polymerization for the CE. Overall, the prepared electrodes both WE from CNF/Ni(OH)₂ substrates and CE from the TOCNF@PPY substrate film were revealed as the novelty of this work and which no one has introduced previously. Although NiO nanoparticles (NPs) coated on the Ni(OH)₂/TOCNF electrode also produced a good power conversion efficiency, PCE (0.75%); nevertheless, the NiO NP treatment with carbon dots boosted the efficiency up to 1.3%.

Economic growth and carbon emissions in Pakistan: the effects of China's Logistics Industry

The logistics business is a crucial contributor to economic development, yet it is also the leading source of carbon emissions. Economic growth at the expense of environmental deterioration is a challenging issue; this phenomenon offered a new avenue for scholars and policymakers to investigate and address these issues. The recent study is one of the attempts to explore this intricate subject. The goal of this research is to determine whether or not the Chinese logistics sector has an impact on Pakistan's GDP and carbon emissions as a result of CPEC. The research utilized data from 2007Q1 to 2021Q4 using the ARDL approach for an empirical estimate. Due to the mixed order of variable integration and finite data set, the ARDL technique is well deserved, which helps reach sound policy inferences. The study's key results indicated that China's logistic business enhances Pakistan's economic development and carbon emissions in the short and long term. Similarly, China's energy usage, technology, and transportation contribute to Pakistan's economic progress at the price of environmental damage. The empirical study may be a model for other developing nations, given Pakistan's viewpoint. With the support of the empirical results, policymakers in Pakistan and other associated countries would be able to plan for sustainable growth in conjunction with CPEC.

The asymmetric and long-run effect of energy productivity on environmental quality in Ireland

This study aims to examine the long-run asymmetric impact of energy productivity on environmental quality in Ireland. The data set covers the period from 1990Q1 to 2019Q4. Although the border issue has been the source of contention and terrorism for decades in Ireland, the country is conscious of modern innovations and has a coherent body of environmental law. Ireland's goal is to achieve 80% of its electricity as renewable energy and reduce carbon emissions by 51% in 2030. Unlike earlier studies, the novelty of this study lies in the thorough analysis of how energy productivity affects the quality of the environment in Ireland while controlling for financial development, primary energy consumption, and economic growth utilizing the nonlinear ARDL approach and other robust econometric techniques. Precisely, the results indicate that (i) energy productivity benefits the environment by lowering CO2 emissions (CO2E) in the long term; (ii) financial sector development enhances the quality of the environment in Ireland; (iii) increase in primary energy consumption and economic growth without eco-friendly protocols propel an increase in CO2E. These findings support the economic theory that energy productivity can stimulate steady green living and green technological growth. We recommend that policymakers in Ireland invest in energy productivity and prioritize R&D that embraces cleaner technologies and cross-cutting eco-friendly policies to combat environmental challenges in Ireland and the world at large.

Energy transition determinants in the European Union: threshold effects

The World Economic Forum (2018) has introduced a comprehensive proxy for the Energy Transition Index (ETI), which includes two main sub-indices; the energy System Performance Index (SPI) and Transition Readiness (TRI). The first sub-index measures the current state of the energy system, and the latter indicates future transition(s). Any factor that can move these two levers in a positive direction will eventually lead to improved energy transitions. Various factors affect the energy transition. Since the ETI is a comprehensive index that includes socio-economic, governance structures, and political dimensions of the energy transition, it is expected to be impacted by globalization and economic complexity. The present study seeks to answer whether the impact of globalization and economic complexity on both energy transition sub-indicators is in the same direction. Also, do the effects of these two variables vary at different levels of energy transition and its sub-indices? For this purpose, we implement a fixed-effect panel threshold model for data from the European Union. The results demonstrate that (overall) globalization significantly influences the ETI and its sub-indices at all levels. The economic complexity in all three regimes reduces TRI (at 90% or 95% confidence intervals). Nevertheless, it harms the SPI and ETI if they exceed the threshold.