Search Results (86)

Reducing dependency on chemical pesticides is a core ambition of the European Green Deal, yet adoption of low-input practices remains uneven. This systematic review synthesizes evidence on the behavioural determinants of European farmers’ knowledge, attitudes, and practices (KAP) regarding sustainable pesticide use and evaluates the role of digital tools in facilitating Integrated Pest Management (IPM). Following PRISMA 2020 guidelines, we analysed 65 peer-reviewed articles published between 2011 and 2025, which were identified through Scopus and Web of Science. The synthesis reveals that while pro-environmental attitudes drive the intention to change, actual behaviour is frequently inhibited by loss aversion, ‘clean field’ social norms, and perceived economic risks. Digital tools—specifically Decision Support Systems (DSSs) and precision technologies—demonstrate technical potential to reduce pesticide loads but are constrained by the same behavioural barriers: a lack of trust in models, perceived complexity, and costs. Consequently, we propose a Psycho-Digital Integration Framework which posits that digital innovation acts as a catalyst only when embedded in systemic enablers—specifically green insurance schemes and independent advisory networks. These mechanisms are critical to redistribute perceived agricultural risk and bridge the gap between technical potential and behavioral adoption. Full article

In this study, we examine the impact of government green subsidies on corporate ESG performance. We employ the method of double machine learning for causal inference. We use all A-share listed companies in China from 2013 to 2023 as the research sample. After excluding financial and insurance companies, those in ST/*ST/PT status, and those with missing key indicators, we ultimately obtain 2337 sample observations. Our baseline results based on double machine learning reveal government green subsidies significantly enhance corporate ESG performance. The findings suggest that this enhancement occurs notably through the mediating variables of digital technology innovation and technology conversion efficiency. We also introduce heterogeneous dimensions such as the level of digital inclusive finance, the intensity of environmental regulations, and the scale of enterprises. Meanwhile, we adopt multiple robustness test methods, including changing the dependent variable, excluding data from special years, controlling for exogenous policy shocks, using instrumental variable methods, and resetting the double machine learning model—adjusting the sample partition ratio from the original 1:4 to 1:9 and replacing the prediction algorithm from random forest to gradient boosting, lasso regression, and ensemble machine learning methods—to ensure the reliability and scientific nature of the research conclusions. Additional tests indicate that the regression coefficient remains positive and is significant, indicating the robustness of our conclusions. This research offers implications for further optimizing the design of government green subsidy policies, and to promote the improvement of enterprises’ ESG performance and economic green transformation. Full article

Climate change and increasingly severe weather pose dual pressures on agriculture: to reduce carbon emissions and to manage climate risk. These pressures challenge the transition to green, low-carbon development. On the basis of panel data from 31 provinces in China from 2003 to 2023—a period selected for data continuity and to capture the implementation of major national agricultural and environmental policies—in this study, an evaluation index system for agricultural green and low-carbon development (GAC) was established. This study aims to analyze the impact of climate change risks (CPRI) on GAC, focusing on the moderating role of agricultural insurance (INS) and spatial spillover effects. Specifically, it seeks to answer the following questions: (1) What is the direction and magnitude of CPRI’s effect on GAC? (2) Can INS mitigate this effect? (3) Does CPRI exhibit spatial spillover effects on GAC? Using data from the NOAA and Chinese statistical yearbooks, by employing a model with two-way fixed effects, moderating effect analysis, and the spatial Durbin model, the mechanisms underlying the spatial spillover effects of CPRI and regional heterogeneity were examined, as well as the moderating function of INS. CPRI was found to significantly inhibit GAC, as extreme weather events triggered short-term decision-making among farmers and constrained investment in green technologies. These events reduced the capacity of the soil to sequester carbon. This inhibitory effect was greater in nonmajor grain-producing regions and in eastern China. INS helped reduce negative impacts by providing effective risk transfer mechanisms. Furthermore, CPRI was found to exert harmful spillover effects across different regions, with greater indirect effects than direct effects. In conclusion, CPRI significantly hinders agricultural green transition, a process moderated by insurance and characterized by spatial spillovers. On the basis of these observations, we recommend several policies, including the development of regionally tailored adaptation strategies, the achievement of innovation in agricultural insurance products, and the establishment of collaborative governance frameworks that span regions to address these challenges. Full article

This study examines the impact of insurance market development on Carbon dioxide (CO₂) emissions and economic growth in the European Union (EU-15) and Central and Eastern European (CEE-11) countries over the period 1996–2022. Long-run relationships are analysed using panel cointegration tests and Mean Group (MG), Pooled Mean Group (PMG), and Dynamic Fixed Effects (DFE) estimators. At the same time, causal links are assessed through the Granger non-causality test. Results show that in EU-15 countries, insurance development positively affects both environmental quality via reduced CO₂ emissions (elasticities between 0.2078 and 0.2860), and economic growth (0.109–0.829). In CEE-11 countries, a positive effect on growth (0.102–0.205) is confirmed, but no significant environmental impact is observed. The findings highlight the need for policies that support green insurance initiatives and investments in low-carbon transition projects, especially in the CEE-11 region. Full article

Forests are crucial for achieving carbon neutrality and the Sustainable Development Goals (SDGs). This study contributes to SDG 13 (Climate Action) and SDG 15 (Life on Land) by constructing a comprehensive evaluation system for high-quality forestry development (HQDF), integrating economic efficiency, ecological functions, and social benefits. Using provincial panel data for China from 2010 to 2023 and applying two-way fixed effects, panel quantile regression, and instrumental-variable methods, we examine the catalytic role of green finance. The results show that green finance significantly promotes HQDF and displays an inverted U-shaped effect over the development cycle. Regional heterogeneity is marked: the strongest effects appear in western and southern China, moderate effects in central regions, and negative effects in some eastern and northern provinces. Among specific instruments, green investment and green bonds exert the largest positive impacts, followed by green insurance and fiscal funds, while green credit plays an important role at particular stages. These findings provide evidence from a major emerging economy and offer practical guidance for optimizing forestry-related green finance strategies worldwide. Full article

This paper presents a comprehensive methodology to forecast the daily energy demand associated with recharging private electric vehicles in urban areas. The approach is based on plausible scenarios regarding the penetration of battery-powered vehicles and the availability of charging infrastructure. Accurate space and time forecasting of charging activities and power requirements is a critical issue in supporting the transition from conventional to battery-powered vehicles for urban mobility. This technological shift represents a key milestone toward achieving the zero-emissions target set by the European Green Deal for 2050. The methodology leverages Floating Car Data (FCD) samples. The widespread use of On-Board Units (OBUs) in private vehicles for insurance purposes ensures the methodology’s applicability across diverse geographical contexts. In addition to FCD samples, the estimation of charging demand for private electric vehicles is informed by a large-scale, detailed survey conducted by ENEA in Italy in 2023. Funded by the Ministry of Environment and Energy Security as part of the National Research on the Electric System, the survey explored individual charging behaviors during daily urban trips and was designed to calibrate a discrete choice model. To date, the methodology has been applied to the Metropolitan Area of Rome, demonstrating robustness and reliability in its results on two different scenarios of analysis. Each demand/supply scenario has been evaluated in terms of the hourly distribution of peak charging power demand, at the level of individual urban zones or across broader areas. Results highlight the role of the different components of power demand (at home or at other destinations) in both scenarios. Charging at intermediate destinations exhibits a dual peak pattern—one in the early morning hours and another in the afternoon—whereas home-based charging shows a pronounced peak during evening return hours and a secondary peak in the early afternoon, corresponding to a decline in charging activity at other destinations. Power distributions, as expected, sensibly differ from one scenario to the other, conditional to different assumptions of private and public recharge availability and characteristics. Full article

Agricultural insurance, as a stabilizer, is crucial for the promotion of agricultural modernization. Therefore, exploring the impact mechanism of agricultural insurance on agricultural modernization and seeking ways to promote it has important practical significance. This study uses China’s provincial panel data from 2008 to 2023 to empirically analyze the direct effect of agricultural insurance on agricultural modernization. The mediation effect, spatial Durbin, and threshold models are used to further explore the internal mechanism of agricultural insurance on agricultural modernization. Results reveal that (1) agricultural insurance plays a significant role in promoting agricultural modernization, with its robustness verified across various models and endogeneity tests. (2) Agricultural insurance can promote agricultural modernization effectively by expanding the scale of agricultural operations, increasing agricultural capital input, enhancing agricultural technology input, and promoting green agricultural production. (3) Agricultural insurance has a positive spatial spillover effect on the development of agricultural modernization in neighboring provinces. Furthermore, there is a threshold effect of agricultural insurance in promoting agricultural modernization, showing stronger effects in rural areas where the human capital level exceeds the single threshold or where the economic development level falls between the single and triple thresholds. (4) Heterogeneity analysis reveals that agricultural insurance exerts stronger promotional effects on agricultural modernization in non-grain-producing regions, in eastern and central areas, and during the initial stages of insurance development. The study proposes recommendations such as the differentiated promotion of agricultural insurance, enhancing the directionality of agricultural insurance policies, and improving the linkage mechanism between agricultural insurance and credit. Full article

This study selects Chinese A-listed non-financial and non-insurance enterprises covering the period from 2009 to 2023 as the research sample. Utilizing the green credit interest subsidy policy (GCISP) as a quasi-natural experiment, it employs a multi-period difference-in-differences (DID) model to examine the policy effect and micro-level mechanisms through which GCISP—by coordinating fiscal subsidies with green finance—impacts corporate green innovation. The findings reveal that GCISP significantly promotes corporate green innovation. This enhancing effect is achieved through two pathways: alleviating financing constraints and reducing agency costs. The conclusions of this study provide valuable insights for refining green economic policies that harmonize green finance with fiscal subsidies, and offer reliable empirical evidence and policy implications to support corporate green transformation. Full article

The impact of climate change is posing substantial risks for contemporary businesses and individuals. In response, insurance companies are adapting old and adopting new strategies and practices. This study aims to identify operational and structural changes that insurance companies implement in response to risks posed by climate change. The overarching goal of this study is to understand the perceptions of industry experts about how climate change impacts the insurance industry, and identify corporate responses to the pressures stemming from climate change and the rising societal awareness of its impact. Using qualitative research methods, we gathered primary data from eight interviews with senior executives involved in sustainability initiatives within the insurance industry, along with secondary data on Singapore’s three largest insurance companies. Our findings indicate that industry experts view climate change as a significant external force influencing corporate strategies and operational frameworks. Further, insurance companies are investing in environmentally friendly businesses, changing product portfolios, and developing collaboration with administrative and regulatory bodies. Implications of these findings for managers and policymakers are discussed, along with directions for future research. Full article

Background: Liver cancer is a significant disease burden, with metabolic factors potentially influencing its risk. Diabetics, due to metabolic abnormalities, may be more sensitive to environmental exposures. Beverages like tea and alcohol could impact liver cancer risk and may influence prevention in diabetics. Methods: This study included 30,289 diabetics and 482,292 non-diabetics aged 30–79 years from the China Kadoorie Biobank. Baseline alcohol and tea consumption during the past year was collected through questionnaires, including frequency, amount, duration, and types. Incident liver cancer cases were identified from the national health insurance system and local disease registries. Cox proportional hazards regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs). Results: During a median follow-up of 9.6 years for diabetics and 10.1 years for non-diabetics, 193 (0.69 cases/1000 person-years) and 398 (0.45 cases/1000 person-years) incident liver cancer cases were documented, respectively. Weekly alcohol consumption was associated with higher liver cancer risk in both groups, stronger in diabetics (HR = 1.62; 95% CI: 1.12, 2.34) than in non-diabetics (HR = 1.20, 95% CI: 1.07, 1.35). Among diabetics, the risk was higher in some weekly alcohol consumption subgroups: high-level intake (HR = 2.21; 95% CI: 1.28, 3.80), ≥30 years (HR = 1.70; 95% CI: 1.06, 2.71), or spirit (≥50% alcohol) alcohol-specific consumption (HR = 1.91; 95% CI: 1.20, 3.04), and these associations were stronger than those in non-diabetics. For weekly tea consumption, low-level intake (HR = 0.82; 95% CI: 0.68, 0.99), <10 years (HR = 0.74; 95% CI: 0.58, 0.93), 10–29 years (HR = 0.84; 95% CI: 0.71, 0.99), and green tea-specific consumption (HR = 0.86; 95% CI: 0.75, 0.98) were associated with reduced liver cancer risk in non-diabetics. However, these associations were not significant in those with diabetes. Conclusions: Weekly alcohol consumption is significantly associated with an increased risk of liver cancer, especially in diabetics, while tea consumption appears to lower risk only in non-diabetics, highlighting the need for alcohol reduction in diabetics. Full article

This study develops an integrated risk modeling framework to assess capital adequacy and optimize portfolio performance for Thai life and non-life insurers. Leveraging ARMA–GJR–GARCH models with skewed Student-t innovations, extreme value theory, and dynamic R-vine copulas, the framework effectively captures volatility, tail risks, and evolving asset interdependencies. Utilizing daily data from 2014 to 2024, the models generate value-at-risk forecasts consistent with international standards such as Basel III’s 10-day 99% VaR and rolling Sharpe ratios for portfolios integrating green bonds compared to traditional asset allocations. The results demonstrate that green bonds, fixedincome instruments funding renewable energy and other environmental projects, significantly improve risk-adjusted returns and have the potential to reduce capital requirements, particularly for life insurers with long-term sustainability mandates. These findings underscore the importance of portfolio-level capital assessment and support the proactive integration of ESG considerations into supervisory investment guidelines to enhance financial resilience and align the insurance sector with Thailand’s sustainable finance agenda. Full article

Background/Objectives: Urban green space has been increasingly recognized as a determinant of maternal and child health. This study investigated the association between prenatal exposure to different types of green space and the risk of congenital anomalies in South Korea. Methods: We analyzed data from the National Health Insurance Service (N = 142,422). Green space exposure was measured at the area level and categorized into grassland and forest; statistical analysis was performed using generalized estimating equations and generalized additive models to analyze the associations. Additionally, subgroup and sensitivity analyses were performed. Results: GEE analysis showed that a 10% increase in the proportion of grassland in a residential district was associated with a reduced risk of nervous system (adjusted odds ratio [aOR]: 0.77, 95% confidence interval [CI]: 0.63–0.94) and genitourinary system anomalies (aOR: 0.83, 95% CI: 0.71–0.97). The subgroup analysis results showed significance only for male infants, but the difference between the sexes was not significant. In the quartile-based analysis, we found a slightly significant p-value for trend for the effect of forests on digestive system anomalies, but the trend was toward increasing risk. In a sensitivity analysis with different exposure classifications, the overall and nervous system anomalies in built green space showed that the risk decreased as green space increased compared to that in the lowest quartile. Conclusions: Our results highlight the importance of spatial environmental factors during pregnancy and suggest that different types of green spaces differentially impact the offspring’s early health outcomes. This study suggests the need for built environment planning as part of preventive maternal and child health strategies. Full article

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

Reducing the carbon intensity of well-being (CIWB) is essential for advancing environmental sustainability and socio-economic development. The expansion of digital service trade has emerged as a novel engine of global economic growth and a promising pathway for pollution reduction and carbon mitigation. This study investigates the nonlinear impact of digital service trade on CIWB, identifying an inverted U-shaped relationship—initially increasing CIWB, then reducing it beyond a certain threshold. In the financial digital service trade sector, this effect is mediated by energy structure transition, whereas in the technology-intensive sector, it is driven by green technological innovation. In contrast, digital service trade in the insurance, pension, and audiovisual sectors directly suppresses CIWB. Moreover, rising public environmental awareness helps leverage and strengthen the inhibitory effect of digital service trade on CIWB. Regionally, except for North America (which displays a consistently inhibitory effect), Asia, Africa, Europe, and Oceania reflect patterns similar to the overall sample. In regions with higher economic and internet development levels, the inverted U-shaped curve is steeper, and its turning point is located further to the left. Temporally, the relationship mirrors the full-sample patterns prior to the enforcement of the Paris Agreement, while an inhibitory effect emerges afterward. These findings offer policy implications for achieving the United Nations’ 2030 Sustainable Development Goals. Full article

The operational efficiency of insurance companies is crucial for their long-term stability and sustainable development. Climate risk has emerged as a significant factor affecting insurers’ operational performance in the context of global climate change and sustainable development goals. Although prior research provides a solid foundation, further exploration is needed to clarify how climate risk influences insurers’ efficiency and underlying mechanisms. This paper uses panel data from 248 Chinese insurance companies spanning 2011 to 2021 to construct a climate risk indicator and systematically examines the potential pathways through which this indicator influences operational efficiency. Precisely, absolute temperature deviation measures physical climate risk, and an entropy-weighted method captures climate transition risk; the DEA model evaluates operating efficiency. A fixed-effects model reveals that physical climate risk may adversely affect operational efficiency, while climate transition risk demonstrates a U-shaped relationship with efficiency. Mechanism analysis shows that physical climate risk increases exposure to natural disaster losses, whereas transition risk may encourage green insurance development. Heterogeneity emerges across insurer types and between coastal and non-coastal regions, with resilient infrastructure mitigating the adverse effects of physical risks and insurance technology driving gradual transformation to offset initial transition risks. Overall, this study expands the perspective on how climate risk shapes the insurance industry’s sustainable development, offering theoretical and practical insights for policymakers to optimize risk management and promote green finance. Full article