The Protective Nature of Gold During Times of Oil Price Volatility: An Analysis of the COVID-19 Pandemic

Analysis of the dynamic mechanism of trans-boundary pollution collaborative control in the Yangtze River Economic Belt

Climate change mitigation requires simultaneous reduction of carbon emissions and air pollution. This study examines the synergy between pollution reduction and carbon reduction, identifying key variables and strategies to achieve this goal. Using a Geographical Detector model and a Coupling Degree of Coordination model, 108 cities in the Yangtze River Economic Belt (YREB) are investigated. Results show that while controlling PM2.5 has been more successful than managing carbon emissions in the YREB, synergy between pollution reduction and carbon emissions increased by an average of 7.2% from 2006 to 2019. Spatial analysis reveals higher synergy in upstream areas, indicating significant spatial diversity. The impact of pollution and emission reduction synergies is influenced by societal and environmental variables, including industry structure, technological innovation, energy structure, human capital quality, and economic basis. Synergy is amplified when natural limits align with high-quality development drivers such as technical innovation and the digital economy. Recommendations include enhancing city-to-city contact, improving energy and industrial structures, and fostering technological innovation to address regional variations in synergy levels.

Assessing energy consumption and economic growth interrelations in Asia-Pacific: A multivariate approach with panel FMOLS and bootstrap Granger causality tests

This study investigates the cointegration and causal relationship between energy consumption and economic growth using data from 16 Asian and Pacific countries from 1970 to 2010. The expanded production function is used in this investigation; this function considers not only labor but also financial resources. This study investigates whether or not a rise in energy demand is associated with a healthy economy. Human capital, in addition to material and labor resources, is taken into account by this operation. One of the first studies to adopt a multivariate method and add human capital was undertaken on the energy-growth nexus. Using the panel unit root and cointegration tests, this study confirms the existence of a long-run cointegrating connection between these variables. These studies recognize the presence of cross-sectional interdependence, according to specific reports. The significance of considering the interconnection of various countries is confirmed by comparing estimates from panel heterogeneous fully modified ordinary least squares (FMOLS) models with those from unceasingly efficient and fully modified models. Nonetheless, the bootstrap panel Granger causality test findings demonstrate that economic growth is a causal factor in rising energy consumption in the region, indicating that the relationship is not constant across countries.

The potential impact of digital economy on energy poverty in the context of Chinese provinces

This study focused on exploring the impact of the digital economy (DE) on energy poverty (EP) across Chinese provinces from 2004 to 2018, motivated by the critical need to understand how technological advancements in the digital sector influence energy accessibility and sustainability. Conducted against the backdrop of global digital transformation, the research aimed to dissect the nuanced ways in which the DE contributes to mitigating EP, employing dynamic panel threshold and indirect effect models to capture both the direct and nuanced, and intermediate effects of digital progress on energy deprivation. Key findings revealed a significant reduction in EP attributed to the advancements in DE, with the most notable improvements observed in Eastern China where strategic energy policies and management practices enhanced the positive impacts of digitalization. The study highlighted the DE's role in improving energy access, efficiency, and environmental sustainability, although it also pointed out the potential for regressive effects in areas with lower levels of technological advancement. These findings are of substantial value as they offer empirical evidence of the DE's capacity to alleviate EP, underlining the importance of integrating digital strategies into energy policy planning. The research provides critical insights for policymakers, stakeholders in the energy sector, and scholars interested in the synergies between digital innovation and energy security, suggesting that leveraging digital technologies could accelerate efforts towards achieving sustainable energy access and combating energy poverty in China and potentially in other contexts facing similar challenges.

A comprehensive study to estimate income and price elasticities of household electricity consumption using Auto-metrics

This study focuses on understanding family electricity consumption behaviors in response to income and price changes from 1994 to 2022 across 12 prominent European countries. We employ a unique econometric approach, Auto-selection Models, to analyze the nuances of energy demand elasticity. Our methodology includes the use of saturation techniques, which are highly effective in identifying anomalies and discontinuities in the data, ensuring the reliability of our results. The Auto-metrics method streamlines the model selection process and enhances the accuracy of elasticity predictions. We use Error Correction Models (ECMs) for each country to examine the long-term equilibrium relationships among key variables such as energy consumption, household income, electricity prices, and weather patterns, taking into account any observed anomalies and significant structural changes. The findings reveal varying levels of income and price elasticity across the countries, reflecting their unique economic and climatic conditions. The study's results hold significant implications for policymaking. By recognizing and adapting to the varied characteristics of electricity demand elasticity, energy policies can be more accurately tailored at both the national and European Union levels.

Assessing the impact of green finance on financial performance in Chinese eco-friendly enterprise

This study pioneers the construction of a regional Green Finance Development Index, meticulously examining the significant influence of green financing on the financial performance of ecologically responsible enterprises within the intricate landscape of China. Demonstrating a profound correlation, green finance emerges as a pivotal incentive, increasing the economic expertise of environmentally conscientious firms through the strategic consolidation of capital and the consistent exchange of vital information. Leveraging empirical data from 2012 to 2022 and focusing on green-listed enterprises, the study analyzes the nexus between green financing and corporate financial competency by employing the GMM Model. Notably, the study highlights the pivotal role of Research and Development (R&D) innovation as a channel for the transformative impact exercised by green funding. Discerning insights surface in exploring heterogeneity, revealing a pronounced inclination of green financing towards strengthening clean energy firms and enterprises operating with diminished reliance on government subsidies. This empirical research enhances the scientific basis of the green finance approach and establishes a strong platform for making decisions, promoting the sustainable proliferation of green sectors and businesses.

Enhancing labor productivity as a key strategy for fostering green economic growth and resource efficiency

Amidst a time when uncontrolled economic growth has frequently harmed the environment, it is crucial to reassess our strategy toward economic progress. The necessity to tackle climate change, resource depletion, and environmental deterioration demands a profound transition towards ecologically sound and sustainable economic development. This study examines the crucial significance of labor productivity in promoting sustainable economic growth and the effective utilization of resources in Asia, Europe, and South America from 1990 to 2020. To accomplish this, we utilized the Data Envelopment Analysis (DEA) methodology to examine a range of input and output characteristics thoroughly. These parameters included labor productivity, renewable energy usage, material efficiency, Green GDP, carbon footprint, and water footprint. The results of our study demonstrate significant regional variations in the efficient utilization of labor and resources to promote sustainable economic development. The findings of the DEA model emphasize that countries with higher labor productivity are more capable of pursuing an environmentally benign and sustainable financial path. Moreover, our research demonstrates a substantial association between enhanced labor productivity and diminished carbon and water footprints. This highlights the importance of labor productivity as a fundamental element for maximizing resource efficiency. In addition, we propose policy suggestions that motivate and improve worker efficiency as a practical strategy to accomplish both economic growth and environmental sustainability.

The role of green finance in mitigating climate change risks: a quantitative analysis of sustainable investments

The dire problem of climate change has garnered more attention in recent years and, with it, the necessity of reducing its damaging effects on the environment. Nevertheless, despite the green finance index's (GFI) potential advantages in combating climate change, empirical studies on the subject's consequences have been few, mostly because of the index's restricted data availability. This study's primary goal is to close this gap by employing panel data analysis to investigate the environmental effects of GFI in China between 2004 and 2021. Econometric methods like the Driscoll-Kraay standard error and other robustness test models are used to look into the links between political risk, green finance, the ecological footprint, and the economic complexity index. According to the research findings, there is a 0.31% and 0.81% decrease in ecological footprint resulting from the implementation of GFI and rises in GDP (gross domestic product). These results suggest that these strategies could play a major role in establishing a sustainable environment. However, in the chosen countries, the ecological footprint increases by 0.81% and 0.80%, respectively, due to the presence of political risk and economic complexity. This study suggests that government involvement is necessary to reduce carbon footprints and protect the ecosystem, based on these empirical findings. Implementing green financing initiatives, fostering technological development, economic diversification, and fostering a stable political environment are all ways to achieve sustainable investments.

Financial innovation, environmental degradation, and environmental Kuznets curve trends in China

This study examines the environmental Kuznets curve (EKC) theory and its possible relevance in the context of China and the complex and one-of-a-kind interaction between financial innovation, environmental deterioration, and China. China's fast industrialization and consequent economic expansion have been accompanied by significant environmental difficulties, despite the country's status as the world's second largest economy. The research takes a secondary data approach to its investigation of this topic, drawing on a large dataset that spans many decades to ensure a thorough examination of the dynamic interaction between financial innovation and numerous environmental variables. The primary objective of this research is to determine whether or not recent developments in financial technology have contributed to the current trends of environmental degradation in China. In keeping with the central tenet of the EKC hypothesis, this study uses cutting-edge econometric techniques to investigate the existence of nonlinear correlations and inflection points. In addition, the research analyzes how policy interventions and regulatory measures have shaped the tendencies spotted. In elucidating the usefulness of financial innovation as a tool for promoting environmental betterment, this study's findings substantially contribute to the current discussion around sustainable development and economic policy. This research also carefully assesses the applicability of the EKC theory in China, providing insights that may be used to inform future environmental policy decisions. Ultimately, the success of measures to promote sustained economic growth and the preservation of the environment in China depends on an in-depth understanding of these delicate relationships. In addition, the lessons learned from this study have the potential to serve as a guide for economies facing similar difficulties.

Green bonds and green environment: exploring innovative financing mechanisms for environmental project sustainability

This study delved into the intricate relationships between green bonds (GB), Environmental National Cap (ENC), the European Commission's green growth metrics (EC), and innovative financial mechanisms (INN_FM). Employing the Pesaran CD test, the research underscored significant cross-sectional dependence among the examined countries. The subsequent unit root tests affirmed the first-order integration of variables, causing the panel vector autoregressive (PVAR) approach for deeper insights. The findings indicated that while GB notably influenced the EC's metrics, and its effect on ENC was relatively subdued. Notably, INN_FM appeared to insignificantly influence the issuance of GB. By leveraging variance decomposition, we discerned that the dynamics between these factors, especially in green economic growth, is complex and can vary across regulatory and national contexts. This research provides an essential foundation for policymakers, regulators, and investors to understand the multifaceted interplays in green finance mechanisms and craft strategies to optimize their impact on sustainability outcomes. Hence, the study provides multiple policy implications for the associated stakeholders.

The role of financial markets in the energy transition: an analysis of investment trends and opportunities in renewable energy and clean technology

The crucial role that financial markets have played in accelerating the shift to clean energy and renewable sources of energy is examined in this article. Thus, we built global essential mineral trade networks from 1999 to 2020 using a complex network technique to analyze their topological properties quantitatively. The impact of crucial mineral trade patterns on the growth of renewable energy is then examined using the dynamic econometric model, along with the mediating function of technological advancement in renewable energy. It analyzes investment patterns and possibilities in various industries while underlining the critical role that financial systems play in determining the speed and scope of the change. The research uses data from reliable sources and thoroughly analyzes the body of current literature. The data shows that investments in clean technologies and renewable energy have significantly increased recently. This increase may be ascribed to several causes, including favorable governmental regulations, falling renewable energy technology prices, and rising environmental consciousness among the general people. Venture capital, private equity, public markets, and specialist funds are just a few examples of financial markets that have been instrumental in directing funding to these industries. The report also reveals a change in how money is invested in the energy industry, with conventional investments in fossil fuels declining and investments in renewable energy growing significantly. The profitability and appeal of renewable energy projects, which are now competitive with traditional energy sources, are driving this transformation. The report also identifies new investment possibilities in clean technology, including smart infrastructure, grid modernization, and energy storage. Due to their potential to improve the effectiveness, dependability, and sustainability of energy systems, these areas are expanding. The results highlight the need to establish long-term stability and incentives for investment in the clean technology and renewable energy industries. Government assistance has considerably aided investor confidence, including carbon pricing systems, tax incentives, and subsidies for renewable energy sources. This analysis emphasizes how critical financial markets are to accelerating the energy transition. Financial markets may hasten the transition to a sustainable energy system by directing investments into clean technologies and renewable energy industries. To take advantage of the investment possibilities given by the energy transition, policymakers, investors, and industry stakeholders must work together.

Exploring the synergies between digital finance and clean energy: a case study of green bond spillover effects

The impact of digital finance on green bonds and clean energy sources is analyzed. So, the primary objective of this study is to create a unique time-varying causality test to identify the relationship between ecological consciousness and green technology, clean energy, and digital currency. The China region was established using data from 2001 to 2019. A dynamic connection model with spillover is employed to further guarantee stability. The empirical findings reveal that the clean energy to digital finance index (30.544%) and the clean energy to green economy index (30.544%) are the sources for the spillover shocks analysis. because the overall dynamic connection of assets throughout time is affected by financial events. For every additional percentage point that renewable energy sources are employed, long-term environmental costs are lowered by 0.68%. And yet, the transition from renewable energy to digital finance has been characterised by increasing instability and causal significance as it has advanced. The organizational environment is shown to have the second-greatest influence on the growth of the green bond market, behind the state of the local economy and environmental governance. Increasing the marketability of clean energy securities requires stable, predictable legislation that improves our knowledge of the risk profile of these investments.

Studying financial aspect of green credit and regional heterogeneity on technology innovation in China

This study examines the impact of green credit on digital technology innovation in China, focusing on the influence of financialization and regional heterogeneity. Existing research primarily explores factors like government subsidies, economic growth, and environmental regulations, and there is a lack of critical analysis on the influence of green credit on digital technology innovations. To examine the internal mechanisms linking green credit to digital technology innovation, this study uses panel data from 271 Chinese prefecture-level cities from 2000 to 2020. Our findings suggest that the availability of green credit and the level of financialization have a significant positive effect on technology innovation, particularly in regions with higher economic development. However, we also find that the impact of green credit and financialization on technology innovation varies across different regions of China. Study findings reveal that green credit bolsters both the quantity and quality of digital technology innovation, emerging as a significant driver for green innovations in China. This conclusion holds even after endogeneity tests. The heterogeneous analysis highlights that various aspects of green credit, such as coverage scope, usage intensity, and digitization level, can enhance digital technology innovations. Western cities demonstrate the most considerable positive effects, followed by central cities, while the weakest impact occurs in eastern cities. Green credit primarily promotes digital technology innovation indirectly by alleviating financing constraints. These empirical findings provide valuable policy insights for fostering a harmonious relationship between China's urban green credit facilities and green financial growth, thereby addressing the funding limitations green credit enterprises face.

How e-commerce support economic growth amid COVID-19: evidence from Chinese economy

The study's motivation develops from the need to comprehend how e-commerce affects economic resilience and recovery amid the COVID-19 crisis, particularly in the Chinese economy, and to provide empirical evidence to help stakeholders and policymakers understand how to use e-commerce for economic growth. This study aims to investigate how e-commerce supported economic expansion during the COVID-19 pandemic, particularly emphasizing the Chinese economy. Because of the rapid changes in consumer perceptions brought on by the COVID-19 epidemic, this study gives a thorough methodology for assessing the success of e-commerce businesses. The application's twenty-five secondary standards include two sustainability elements, sustainable development, and carbon dioxide emissions. Three Indian e-commerce companies serve as a case study to illustrate the assessment methodology. To capture the uncertainty in the judicial process, the findings are achieved via multi-criteria judgment (MCDM) technique called fuzzy VIKOR. In addition, quantitative research is used to rate and compare e-commerce businesses in terms of how well it meets the needs of their customers. The results break down the most crucial criterion and sub-criteria for online retailers to meet to meet consumer aspirations and remain profitable and environmentally responsible in the long run.