Search Results (185)

This study aims to develop an optimal underwriting strategy for affordable (H1 and M1) and premium (L1 and M2) electric vehicles (EVs), balancing financial risk and sustainability commitments. The research is motivated by regulatory pressures, risk management needs, and sustainability goals, necessitating an adaptation of traditional underwriting models. The study employs a modified Delphi method with industry experts to identify key risk factors, including accident risk, repair costs, battery safety, driver behavior, and PCAF carbon impact. A sensitivity analysis was conducted to examine premium adjustments under different risk scenarios, categorizing EVs into four risk segments: Low-Risk, Low-Carbon (L1); Medium-Risk, Low-Carbon (M1); Medium-Risk, High-Carbon (M2); and High-Risk, High-Carbon (H1). Findings indicate that premium EVs (L1 and M2) exhibit lower volatility in underwriting costs, benefiting from advanced safety features, lower accident rates, and reduced carbon attribution penalties. Conversely, budget EVs (H1 and M1) experience higher premium fluctuations due to greater accident risks, costly repairs, and higher carbon costs under PCAF implementation. The worst-case scenario showed a 14.5% premium increase, while the best-case scenario led to a 10.5% premium reduction. The study recommends prioritizing premium EVs for insurance coverage due to their lower underwriting risks and carbon efficiency. For budget EVs, insurers should implement selective underwriting based on safety features, driver risk profiling, and energy efficiency. Additionally, incentive-based pricing such as telematics discounts, green repair incentives, and low-carbon charging rewards can mitigate financial risks and align with net-zero insurance commitments. This research provides a structured framework for insurers to optimize EV underwriting while ensuring long-term profitability and regulatory compliance. Full article

As a key engine driving China’s green financial transformation, the Green Financial Reform and Innovation Pilot Zones have demonstrated significant achievements in enhancing the capacity of financial services to support green real economies, preventing and mitigating green financial risks, and bolstering national and urban economic resilience. On this basis, a spatial Markov chain model is applied to further analyze the economic toughness of prefecture-level cities. This study treats the establishment of these pilot zones as a quasi-natural experiment, using panel data from 269 prefecture-level cities in China from 2013 to 2023 and employing a multi-period difference-in-differences (DID) model to empirically examine the impact of green financial reform on urban economic resilience and its underlying mechanisms. The results reveal that the establishment of these pilot zones significantly enhances urban economic resilience. Specifically, green financial reforms primarily improve urban economic resilience by increasing credit accessibility and capital allocation efficiency in the pilot cities. Furthermore, the policy effects are more pronounced in large cities and resource-dependent cities compared to small and medium-sized cities and non-resource-dependent cities, with stronger impacts observed in southern and coastal regions than in northern inland areas. Additionally, the policy effects are significantly greater in environmentally prioritized cities than in non-prioritized cities. By integrating green financial reforms and urban economic resilience into a unified analytical framework, this study provides valuable insights for policymakers to refine green financial strategies and design resilience-enhancing policies. Full article

Understanding the price dynamics of oil futures is crucial for advancing green finance strategies and supporting sustainable energy transitions. This study investigates the macroeconomic and energy market determinants of oil futures prices through Granger causality, cointegration analysis, and the error correction model, using daily data. It focuses on the influence of economic development levels, exchange rate fluctuations, and inter-energy price linkages. The empirical findings indicate that (1) oil futures prices exhibit strong correlations with other energy prices, macroeconomic factors, and exchange rate variables; (2) economic development significantly affects oil futures prices, while exchange rate impacts are statistically insignificant based on the daily data analyzed; (3) there exists a stable long-term equilibrium relationship between oil futures prices and variables representing economic activity, exchange rates, and energy market trends; (4) oil futures prices exhibit significant short-term dynamics while adjusting steadily toward a long-run equilibrium driven by macroeconomic and energy market fundamentals. By enhancing the accuracy of oil futures price forecasting, this study offers practical insights for managing financial risks associated with fossil energy markets and contributes to the formulation of low-carbon investment strategies. The findings provide a valuable reference for integrating energy pricing models into sustainable finance and climate-aligned portfolio decisions. Full article

The building sector remains one of the largest contributors to global energy consumption and CO₂ emissions, yet selecting optimal retrofit strategies is often hindered by inconsistent evaluation practices and limited integration of environmental and social impacts. This review addresses that gap by systematically analyzing how various assessment methods are applied to building retrofits, particularly from a financial and environmental perspective. A structured literature review was conducted across four major scientific databases using predefined keywords, filters, and inclusion/exclusion criteria, resulting in a final sample of 50 studies (green colored citations of this paper). The review focuses on the application of Life Cycle Cost Analysis (LCCA), Cost–Benefit Analysis (CBA), and Life Cycle Assessment (LCA), as well as additional indicators that quantify energy and sustainability performance. Results show that LCCA is the most frequently used method, applied in over 60% of the studies, often in combination with LCA (particularly for long time horizons). CBA appears in fewer than 25% of cases. More than 50% of studies are based in Europe, and over 60% of case studies involve residential buildings. EnergyPlus and DesignBuilder were the most common simulation tools, used in 28% and 16% of the cases, respectively. Risk and uncertainty were typically addressed through Monte Carlo simulations (22%) and sensitivity analysis. Comfort and social impact indicators were underrepresented, with thermal comfort included in only 12% of studies and no formal use of tools like Social-LCA or SROI. The findings highlight the growing sophistication of retrofit assessments post-2020, but also reveal gaps such as geographic imbalance (absence of African case studies), inconsistent treatment of discount rates, and limited integration of social indicators. The study concludes that future research should develop standardized, multidimensional evaluation frameworks that incorporate social equity, stakeholder values, and long-term resilience alongside cost and carbon metrics. Full article

This study conducts a comprehensive bibliometric analysis and predictive modeling of financial risk research from 2015 to 2024, integrating conceptual, knowledge, and collaboration perspectives. Utilizing the PRISMA framework for literature screening, the study identifies publications, research areas, and research institutions. A co-citation network approach reveals the intellectual structure and milestone works, while emergent keyword detection highlights cutting-edge topics such as economic policy uncertainty, climate risk, and green innovation. Furthermore, the study proposes a novel semantic forecasting model, SEF-ACLSTM (Semantic Evolution Forecasting with Aligned Clustered LSTM), to predict the evolution of research themes through 2030. The results identify three major thematic clusters: methodological innovation, traditional risk management, and green finance. The predictive analysis indicates a growing emphasis on methodological and sustainability-oriented topics, suggesting a paradigmatic shift in financial risk research. The findings offer theoretical insights and strategic guidance for future academic inquiry and policy formulation. Full article

The effective design of green financial policies is crucial for balancing the operational pressures of heavily polluting enterprises with the goal of sustained carbon emission reduction. This study investigates the impact of the Green Finance Reform and Innovation Pilot Zone (GFRIPZ) policy by employing a multi-period difference-in-differences (DID) model based on firm-level panel data from 2012 to 2021, covering A-share listed enterprises in Shanghai and Shenzhen. The results show that GFRIPZs significantly reduced carbon emissions in pilot regions, with heterogeneous effects observed across enterprise types—particularly among large enterprises, state-owned enterprises, and those located in financially developed areas. To uncover the underlying mechanisms, we compare two behavioral responses: green innovation, marked by long-term investment in green technologies, and expedient compliance, involving short-term, strategic compliance behaviors. Our findings indicate that GFRIPZs did not effectively promote green innovation. Instead, it has encouraged a shift from productive capital investment toward un-productive, symbolic actions aimed at fulfilling policy requirements. These responses risk undermining the long-term objective of green transformation and may contribute to a broader shift from real economic activity toward speculative or less productive investments, raising concerns about the quality and sustainability of the low-carbon transition. Full article

This study examines the degree of alignment between the actual environmental performance and the ESG disclosures of 365 listed financial institutions in Europe for the fiscal year 2024. Although ESG reporting has become a standard practice in the financial sector, there are still concerns that the quality of the disclosure may not accurately reflect substantive environmental action, which increases the risk of greenwashing. This study addresses this issue by incorporating both ESG disclosure indicators and green accounting metrics into a multi-criteria decision-making framework. This framework is supported by entropy-based weighting to assure objectivity in criterion importance, as outlined in the PROMETHEE II method. The Greenwashing Risk Index (GWI) is a groundbreaking innovation that quantifies the discrepancy between an institution’s classification based on ESG transparency and its performance in green accounting indicators, including environmental penalties, provisions, and resource usage. The results indicate that there is a substantial degree of variation in the performance of ESGs among institutions, with a significant portion of them exhibiting high disclosure scores but insufficient environmental substance. These discrepancies indicate that reputational sustainability may not be operationally sustained. The results have significant implications for regulatory supervision, sustainable finance policy, and ESG rating methodologies. The framework that has been proposed provides a replicable, evidence-based tool for identifying institutions that are at risk of greenwashing and facilitates the implementation of more accountable ESG evaluation practices in the financial sector. Full article

Climate change and environmental degradation necessitate green innovation (GI) to provide new solutions for sustainable economic growth. As many firms allocate scarce resources to green innovation, researchers, practitioners, and policymakers are keen to understand information disclosure on green innovation, particularly in company financial statements. This study empirically investigates the relationship between GI and conservative financial reporting. Using a dataset of 8945 unique firms, from 2001 to 2024, we discover a negative relationship between GI and conservative financial reporting. We further document that firms with high exposure to climate change exhibit a more pronounced negative relationship between GI and conservative financial reporting. In addition, we find that the presence of regulatory risks and public awareness, particularly after the adoption of the Paris Agreement, weakens the negative association between GI and conservative financial reporting. Our findings shed further light on information disclosure on green innovation, which is crucial for various stakeholders to utilize such information and make relevant decisions. Full article

Climate change risk has significant impacts on corporate financial activities. Using firm-level data from A-share listed companies in China from 2010 to 2022, we examine how climate risk affects corporate debt financing capacity. We find that climate change risk significantly weakens firms’ ability to raise debt, leading to lower leverage and higher financing costs. These results remain robust across various checks for endogeneity and alternative specifications. We also show that reducing corporate carbon emission intensity can mitigate the negative impact of climate risk on debt financing, suggesting that supply-side credit policies are more effective than demand-side capital structure choices. Furthermore, we identify three channels through which climate risk impairs debt capacity: reduced competitiveness, increased default risk, and diminished resilience. Our heterogeneity analysis reveals that these adverse effects are more pronounced for non-state-owned firms, firms with weaker internal controls, and companies in highly financialized regions, and during periods of heightened environmental uncertainty. We also apply textual analysis and machine learning to the measurement of climate change risks, partially mitigating the geographic biases and single-dimensional shortcomings inherent in macro-level indicators, thus enriching the quantitative research on climate change risks. These findings provide valuable insights for policymakers and financial institutions in promoting corporate green transition, guiding capital allocation, and supporting sustainable development. Full article

This paper addresses the definitional ambiguity surrounding the term “green fintech” and its distinction from related concepts such as green finance and sustainable finance. We argue that the lack of clarity impedes accountability and facilitates greenwashing. To resolve this, we develop a conceptual framework grounded in a six-step “litmus test” that specifies the necessary conditions for an initiative to qualify as green fintech. These include demonstrable environmental objectives, the application of innovative financial technologies, and regulatory alignment. The test functions as a diagnostic tool, enhancing verifiability and reducing the risk of misrepresentation. We illustrate its practical use and integrate the Dynamic Integrated Model of Climate and the Economy (DICE) to support the analysis. Green fintech is defined as the implementation of green climate objectives through the medium of financial technology. This contribution provides both definitional precision and a means to assess the credibility of green fintech initiatives, offering clarity in an increasingly complex and contested area of sustainable finance. Full article

Against the dual backdrop of the “digital countryside” initiative and the development of ecological civilization, the construction of smart green villages has increasingly emerged as a vital pathway for improving rural ecological environment. This study utilizes a three-dimensional framework—including strategic choice, influencing factors, and simulation practice—to construct an evolutionary game model involving the government, enterprises, and villagers. A systematic simulation is conducted based on a field case from Village P in the hilly region of Hunan Province, China. The results of the study reveal the following: (1) Under the combination of high financial incentives, low technical support, and high villager participation, the ecosystem achieves the most stable and positive evolution. Moreover, collaborative governance outperforms unilateral control. (2) Financial support, technological provision, and environmental awareness constitute the three core variables driving the evolution of ecological governance. (3) Cognitive feedback mechanisms significantly influence the dynamic trajectory of green behaviors in enterprises. (4) The simulation results indicate a risk of “sub-stable” divergence in the collaborative mechanism. Furthermore, the stability of the governance system heavily relies on the alignment between policy configuration and information structure. This study offers theoretical support and empirical validation for the institutional design of and strategic interventions for smart green villages, serving as a valuable reference for local-level implementation. Full article

The United Nations Sustainable Development Goals emphasize the need to assist developing countries in achieving long-term debt sustainability. Global corporate debt has repeatedly reached record levels, and the associated financial costs pose a significant threat to sustainable development. This study uses panel data from Chinese listed companies for regression analysis. The findings show that ESG reduces the interest-bearing debt ratio, the equity pledge of controlling shareholders, and the deviation from the target debt ratio, all of which contribute to improved debt management. Climate risk further strengthens the impact of ESG on debt management. Additionally, green credit policies help reduce the interest-bearing debt ratio in high-pollution industries through ESG practices. Full article

Green roofs (GRs) are emerging as effective tools for mitigating urban runoff, particularly in cities facing challenges related to increased impervious surfaces and flooding risks. This study evaluates the potential hydrological performance of GR retrofitting in São José dos Campos, Brazil, based on municipal legislation, focusing on the effects of reducing the Effective Impervious Area (EIA) in urban watersheds. Using a range of projected EIA reduction scenarios (Mandatory, Incentivized, and Ideal), this study compares key hydrological indicators such as peak flow attenuation, runoff volume reduction, and hydrograph delay during rainfall events with different return periods. The results show that retrofitting with GRs significantly attenuates peak flows and delays runoff, with the ‘Ideal’ scenario (EIA = 16%) achieving peak flow reductions of up to 41% and runoff volume reductions of 35%. However, the effectiveness of GRs diminishes for high-intensity rainfall events, suggesting that GRs are most effective for frequent, low-intensity storms. These findings demonstrate the potential of GRs in reducing flooding risks in urban environments, highlighting the importance of integrating GRs into broader sustainable drainage systems. This study further emphasizes that while financial support is crucial for promoting GR adoption, it alone is not sufficient. Policies should be complemented by educational efforts and urban regulatory measures to ensure widespread adoption and long-term impact. This research provides urban planners and stakeholders with evidence to enhance urban resilience, sustainability, and effective flood risk management. Full article

This study employs the TVP-VAR-DY model to examine the risk spillover effects and dynamic interactions between traditional energy markets and green financial markets across both time and frequency domains. Furthermore, it evaluates the influence of climate policy uncertainty on these risk spillovers. The findings reveal substantial risk spillover effects between traditional energy markets and green financial markets. In the time domain, the total spillover effects exhibit distinct time-varying characteristics, with particularly pronounced changes under the influence of policy shocks. In the frequency domain, risk spillovers are significantly higher in the short term compared to the medium and long term. Additionally, climate policy uncertainty emerges as key driver of intensified risk spillovers between markets, with its influence initially increasing and then gradually diminishing over time. This study not only provides theoretical support for optimizing climate policies but also offers empirical evidence for prevention and mitigation of risk contagion between energy and green financial markets. Full article

This research examines the challenges of issuing green bonds due to a lack of established benchmarks. We compare regional differences between the U.S. and the E.U., hypothesizing that issuers of green bonds stand to benefit from comparing them to conventional (black) bonds. As most investors prioritize net positive returns as opposed to intangible sustainability metrics, the existence of a “green premium”, defined as the opportunity to price green bonds differently, remains to be proven. To this end, we employ a time-varying parameter vector autoregression (TVP-VAR), first deriving dynamic variance–covariance matrices and then conducting variance decomposition analysis to gauge connectedness and spillover effects of various bond benchmarks. Implementing multivariate portfolio construction strategies, we investigate the hedging capabilities of green and black bonds. Our findings show that both green and black bonds contribute to portfolio diversification as a risk management strategy. The paper highlights the role played by green bonds in promoting financial stability. Full article