Search Results (630)

The COVID-19 pandemic prompted governments to implement lockdowns and social distancing measures to curb transmission, which, in South Africa, disrupted economic activity, reduced household income, and challenged the sustainability of household food access. This study assessed food accessibility, availability, dietary diversity, food security status, and coping strategies among households in the Tygerberg region during lockdowns. A cross-sectional design was employed using a researcher-administered questionnaire to collect sociodemographic and household data. Food security was assessed using the Household Food Insecurity Access Scale and the Household Food Security Survey Module, dietary diversity using a 24 h recall, and coping strategies through a standardized tool. Among the 432 households surveyed, 62% reported reduced income during lockdowns, while approximately 80% experienced food insecurity in the preceding 30 days and 72% over the past year. Dietary diversity was low in 47.3% of households, consuming fewer than seven food groups, and medium in 46.4%, consuming eight to eleven food groups. Common coping strategies included purchasing cheaper, less preferred foods, skipping meals, and reliance on social relief measures such as food parcels and the Social Relief of Distress grant. Overall, while food availability remained relatively stable, economic access emerged as the principal constraint, undermining dietary quality and household resilience and highlighting the need for income-responsive and socially sustainable food security interventions to strengthen urban food system resilience during prolonged socio-economic shocks. Full article

Land trusteeship is an innovative agricultural management model that connects smallholder farmers with modern agriculture. It promotes large-scale agricultural operations, but still faces the impacts of conventional natural disasters. Although agricultural disaster insurance serves as a critical mechanism for farmers to mitigate these natural risks, its risk-mitigation potential remains underutilized due to the persistent challenge of low insurance participation rates. This study develops a decision-making model for farmers’ purchase of agricultural disaster insurance under land trusteeship, drawing on protection motivation theory, market failure theory, and quasi-public goods theory. Using structural equation modeling, we empirically analyze survey data from 319 land-trusteed farmers to uncover the mechanisms and pathways influencing their insurance purchase decisions. The results indicate that: (1) Vulnerability and severity are positively associated with protection motivation through perceived response efficacy and self-efficacy, and protection motivation is directly associated with purchase decisions; (2) Government support has both direct and indirect effects on purchase behavior; and (3) Individual and household characteristics are significantly associated with purchase decisions, with pure farmers, Type I part-time farmers, and farmers with larger landholdings tending to purchase agricultural disaster insurance more often. Full article

The increasing number of sustainability claims may reduce the perceived reliability of formal eco-labels, creating an environment in which greenwashing can erode institutional trust. This study explores how consumers navigate significant information asymmetry when standardized environmental signals are absent. Using a qualitative research design, we conducted focus group discussions with Hungarian- and Romanian-speaking consumers in Transylvania, Romania, a multiethnic transitioning market. Computational text analysis, including topic modeling, was used to support this interpretive approach and effectively decode the complex typologies of green claim evaluation. The findings suggest that signal degradation among the participants was associated with culturally embedded heuristic substitution rather than a uniform rejection of green claims. Romanian-speaking participants described more analytical, information-seeking heuristics that are tightly integrated into routine purchasing decisions. Conversely, Hungarian-speaking participants articulated a looser connection between generalized skepticism and their purchasing routines. This study contributes to signaling theory and administrative science by suggesting that standardized governance tools may be less effective when they are not aligned with localized trust structures. Reconceiving greenwashing as a failure of signal fit rather than as deceptive marketing communication, the study contributes to a process-oriented understanding of how consumers evaluate sustainability claims under uncertainty. Future research should quantitatively test these heuristic pathways across diverse regulatory and cultural environments. Full article

Against the backdrop of global warming and China’s Carbon Peaking and Carbon Neutrality Goals, this study focuses on carbon footprint rating information on packaging, addressing the gap between consumer cognition and behavior in food consumption caused by invisibility of carbon emissions. This study integrates the Theory of Planned Behavior (TPB) with the Technology Acceptance Model (TAM), designed a “letter-plus-color” dual-coded carbon footprint label as the experimental stimulus, and conducted a survey of 581 respondents across China’s four major regions using structural equation modeling. Results indicate that perceived ease of use, perceived usefulness, subjective norms, and perceived behavioral control all positively predict purchase attitudes. Among these, perceived behavioral control also independently predicts actual purchase behavior. Multigroup analysis further reveals that household purchasing responsibility moderates the “attitude → intention” relationship: purchasing decision-makers engage in realistic trade-offs, whereas non-purchasing decision-makers are driven by value congruence.Theoretically, this study deepens our understanding of cognitive intervention mechanisms of carbon footprint labels and expands explanatory power of the TPB-TAM model in low-carbon contexts. From a practical perspective, this study provides guidance for governments in designing targeted labeling policies and for companies in developing packaging that aligns with cognitive principles. Full article

Digital commerce ecosystems increasingly depend on the alignment between social media advertising formats and digital payment systems, yet existing research has examined these mechanisms in isolation, overlooking their combined influence on consumer behaviour, conversion, and long-term value creation. This study addresses that gap by developing an integrative conceptual framework that examines how advertising formats and payment infrastructures jointly shape sustainable digital monetisation within an Environmental, Social, and Governance (ESG) framework. Methodologically, the study adopts a structured narrative literature review of interdisciplinary peer-reviewed studies and selected high-quality institutional reports, drawn from Scopus, Web of Science Core Collection, and Google Scholar, covering publications from 2015 to April 2026. A four-stage PRISMA-adapted selection protocol was applied to ensure transparency, replicability, and analytical rigour across the review process. The findings demonstrate that advertising formats including native advertising, influencer marketing, user-generated content, short-form video, live streaming, and augmented reality drive consumer attention and purchase intention, while payment systems encompassing digital wallets, BNPL services, and in-platform checkout shape transactional trust and friction. Conversion and customer lifetime value emerge as joint outcomes of this interaction, mediated by consumer trust and transaction friction. The study further identifies key sustainability tensions related to digital carbon footprints from data-intensive formats, financial vulnerability associated with frictionless credit tools, and governance concerns surrounding transparency, privacy, and platform power concentration. The study contributes an integrative conceptual model linking advertising formats, payment systems, consumer behaviour, and ESG dimensions within a unified framework, supported by six theoretically grounded hypotheses (H1–H6) to guide future empirical research in sustainable digital commerce. Full article

Internet advertising, while enabling unprecedented commercial reach, has become a pervasive vehicle for deceptive practices that inflict measurable harm on consumers. This study empirically investigates the structural relationships between internet advertising falsity and consumer harm by integrating analyses of the mediating role of consumer cognitive processes and the moderating role of consumer vulnerability within a unified structural framework. Survey data were collected from 600 adult consumers with online purchase experience in the Republic of Korea—an advanced digital economy characterized by exceptionally high mobile-commerce penetration, mature e-commerce infrastructure, and evolving digital consumer protection regulation—and analyzed using structural equation modeling (SEM) with AMOS 24.0, supplemented by Hayes’ PROCESS macro Model 59 for conditional process analysis. All 13 hypotheses were supported, although path magnitudes varied substantially across falsity dimensions and mediator pathways—with direct effects ranging from β = 0.156 (false scarcity) to β = 0.224 (performance exaggeration), and indirect effects dominated by the risk assessment distortion pathway. Among the four sub-dimensions of advertising falsity—factual misrepresentation, performance exaggeration, price deception, and false scarcity—performance exaggeration exerted the strongest direct effect on consumer harm. The three cognitive mediators—perceived advertising credibility, risk assessment distortion, and purchase decision pressure—all demonstrated significant partial mediation, with risk assessment distortion emerging as the most powerful indirect pathway. All four consumer vulnerability dimensions—digital literacy level, demographic vulnerability, prior victimization experience, and impulsive buying tendency—significantly moderated the falsity–harm relationship, with low-digital-literacy consumers experiencing approximately 1.7 times the adverse effect of high-literacy counterparts. Moderated mediation analysis revealed that the conditional indirect effect for the high-vulnerability group was approximately 2.3 times that of the low-vulnerability group, confirming that the cognitive harm mechanism intensifies systematically for vulnerable consumers. These findings advance consumer vulnerability theory in the digital context and offer evidence-based implications for consumer protection policy, platform governance, and digital literacy education. Full article

As a core decarbonization technology, the scaling up of Near-Zero Energy Building (NZEB) technologies under the “dual carbon” goal necessitates collaboration among governments, technology suppliers, and construction enterprises. However, high research and development (R&D) costs coupled with low market acceptance impede widespread adoption. This study develops a tripartite evolutionary game model to analyze strategic interactions among stakeholders. Using MATLAB 2022B simulations, we simulate the strategy sets for the government (subsidize/no subsidy), suppliers (R&D/no R&D), and enterprises (procure/no purchase). The results identify two Evolutionary Stable Strategies (ESS): a market-driven ESS (0, 1, 1) emerges when the green premium (Pm) exceeds the incremental cost (Cb); while a policy-driven ESS (1, 1, 1) requires government subsidies (S) to offset R&D gaps, specifically when $S>Cr/\alpha -Pmz$. These findings provide a theoretical basis for understanding the synergistic mechanisms underlying NZEB adoption and highlight the dynamic interplay between policy incentives and market forces. Full article

Driven by the global agenda of low-carbon urban development, local governments in China have implemented targeted policies requiring new energy vehicle adoption in the ride-hailing industry. This study focuses on a key issue in the development of sustainable smart public transportation systems: the factors affecting the acceptance of electric vehicles (EVs) in ride-hailing services among full-time and part-time drivers. Using 432 valid samples of ride-hailing drivers from Zhangzhou, a third-tier city in China, we compared the basic personal attributes of full-time and part-time drivers. Ordered logit models were developed to explore differences in factors influencing their acceptance of electric ride hailing (ER). Findings reveal: (1) Drivers’ perceived significance of EVs in green transportation is positively associated with their acceptance of ER. (2) Endurance mileage and charging efficiency have no significant effect on acceptance among drivers in underdeveloped cities. (3) Full-time drivers exhibit relatively low concern for subsidy policies, whereas part-time drivers express a pressing need for vehicle purchase subsidies and operational subsidies. (4) Overall, part-time drivers demonstrate higher acceptance of ER than full-time drivers. Based on these findings, this paper offers policy recommendations for governments to enhance ER acceptance among both driver groups. It is important to note that the present study utilizes survey data collected from Zhangzhou. The research conclusions should be treated with caution when applied to other cities, and further studies can be conducted in different regions to verify the results. Full article

To explore the evolutionary dynamics of green product markets under bounded rationality, this study develops a tripartite evolutionary game model involving the government, passenger vehicle enterprises, and consumers, using China’s new energy vehicle (NEV) market as a case study. By integrating system dynamics with real-world data and policies, the paper simulates strategy evolution paths and identifies equilibrium conditions. The results show a unique evolutionarily stable strategy: the government refrains from regulation, enterprises actively produce NEVs, and consumers actively purchase green products. The government’s strategy is primarily influenced by enterprises, while enterprises’ strategy is mainly driven by consumers. Numerical analysis reveals that when the premium payment ratio of green products (price difference relative to conventional vehicles) is controlled between 27.27% and 31.82%, the market evolves most rapidly toward the ideal equilibrium. Furthermore, when the additional positive benefit ratio of green consumption falls below 36.36%, market formation and development are severely hindered; raising this ratio to 40.91% yields significant promotion effects, beyond which marginal benefits diminish. These findings provide quantitative benchmarks for policy design and strategic decision-making to foster self-sustaining green product markets. Full article

As the electrification of transportation systems accelerates, incentivizing electric vehicle (EV) participation in vehicle-to-grid (V2G) operations is becoming increasingly crucial. This paper introduces a dynamic EV charging and discharging strategy that incorporates integrated energy station (IES) congestion and electricity purchase and sale scenarios. The proposed strategy seeks to facilitate orderly EV charging and discharging within a real-time simulation framework that integrates the transportation network (TN), IES, and the external grid (EG). First, we develop a real-time collaborative simulation framework that combines microscopic traffic flow (MTL) and IES–grid energy interaction models to account for mutual feedback among these components. Second, we propose an EV IES selection strategy aimed at maximizing discharge revenue, which takes into account various factors, including driving distance, time costs, battery degradation, discharge benefits, and government subsidies. Finally, we design a dynamic discharge pricing model based on real-time vehicle arrival patterns at the IES and the status of electricity purchases and sales. Simulation results show that the EV IES selection strategy, optimized for discharge revenue, reduces average user waiting time by 5.36%, decreases network time loss by 3.86%, and increases EV discharge revenue by 6.79%. Furthermore, the introduction of dynamic pricing leads to additional reductions in waiting time and network time loss by 3.46% and 4.80%, respectively. The proposed mechanism and pricing strategy effectively mitigate traffic congestion, enhance user discharge revenue, and provide flexible scheduling options for IES operations. Full article

The effect of corporate ESG performance on firm competitiveness has attracted growing attention from both regulators and market participants. Most studies explore and interpret this effect from the perspective of supply-side factors such as technological innovation; however, the role of customer-side factors remains underexplored. This exploratory study aims to theoretically and empirically analyze the mediation role of the customer-side factors in the impact of corporate ESG on market share. Based on a review of the literature, we develop a theoretical model linking corporate ESG performance to customer purchase behavior. The derived hypotheses are empirically checked using panel data of Chinese listed companies from 2009 to 2023 using two-way fixed-effect regression, three-step mediation analysis, and Sobel test. The results show that the effect of ESG performance on market share is significantly positive, and this relationship is mediated by three variables: corporate reputation, firm visibility, and market coverage. Therefore, we suggest that (i) the Chinese government should strengthen mandatory ESG disclosure requirements and enhance supervision of ESG rating agencies; (ii) corporations should substantially improve their ESG performance and enhance ESG communication capabilities; (iii) customers should pay more attention to public interest, allowing individual benefits to align with social welfare, thereby achieving a win-win outcome for both customers and corporations. Full article

Meat quality serves as a pivotal determinant of consumer purchasing behavior and of the economic viability of the livestock industry; as such, research into its regulatory mechanisms is of critical significance for the development of modern agriculture. Traditional investigations into meat quality have predominantly centered on sensory and physicochemical assessments of ultimate phenotypic traits, thereby facing inherent limitations in systematically deciphering the intricate molecular regulatory networks underlying meat quality formation. By contrast, an integrated analysis of the transcriptome and metabolome effectively connects the cascade of “gene transcription—metabolic regulation—phenotypic determination,” which has emerged as a core methodological paradigm in contemporary research on the molecular mechanisms governing meat quality. This review systematically delineates the evolutionary trajectory and principal technological frameworks of meat quality evaluation systems, with a focused synthesis of recent advances achieved through combined transcriptomic and metabolomic analyses in the field of meat quality regulation. The scope of this review encompasses core transcriptional regulatory networks associated with meat quality attributes, pivotal metabolic pathways, signal transduction mechanisms, and protein degradation dynamics. Furthermore, the regulatory impacts exerted by genetic variation among breeds, nutritional modulation, rearing environments, and stress responses on meat quality characteristics are comprehensively elucidated. Integrative analysis reveals that combined transcriptome–metabolome approaches transcend the inherent limitations of single-omics investigations, systematically unraveling the hierarchical regulatory mechanisms governing fundamental meat quality traits, such as muscle fiber type differentiation, postmortem glycolytic progression, intramuscular fat deposition, and flavor compound accumulation. Such integrative strategies have facilitated the identification of functional genes and metabolic biomarkers with potential utility for the early prediction of meat quality outcomes. Concurrently, this review acknowledges persistent challenges confronting the field, including the absence of standardized protocols for multi-omics data integration, insufficient functional causal validation, and a discernible disconnect between research discoveries and practical industrial implementation. Building upon this comprehensive assessment, prospective directions for future multi-omics research in meat quality are proposed, accompanied by the formulation of an integrated end-to-end improvement framework spanning fundamental research, technological innovation, and industrial application. Collectively, this review provides a systematic theoretical foundation for the in-depth elucidation of mechanisms that determine meat quality and the precision-oriented regulation of quality-determining traits in livestock production practices, thereby offering substantial scientific guidance for quality improvement initiatives within the animal husbandry sector. Full article

Background/Objectives: Adopting written nutrition standards for food sold or served by local governments is a strategy for increasing access to healthier options among employees and residents. Methods: We used data from a 2021 national survey of 1982 municipal governments serving populations of 1000 or more. Among municipalities that sell or serve food or beverages, we examined the prevalence and 95% confidence intervals (CI) of those with written nutrition standards. Logistic regression models were used to obtain odds ratios and 95% CIs of written nutrition standards by municipality characteristics. Finally, we examined the prevalence including nutrition standards in food purchasing agreements or food service contracts among municipalities that sell or serve food and have written nutrition standards. Results: Among U.S. municipalities in 2021, 32% reported selling and 21% reported serving food or beverages. Among U.S. municipalities that sell or serve food or beverages, the prevalence of municipalities with written nutrition standards was 19%, and of these, 78% reported including their written nutrition standards in city food purchasing agreements or food service contracts. In adjusted analyses, the region (West vs. Midwest adjusted odds ratio [aOR]: 2.9 [95% CI: 1.7, 4.9]) and presence of a food policy council remained significantly associated with having written nutrition standards (aOR: 1.7 [1.1, 2.5]). Conclusions: Although only 1 in 5 municipalities that sell or serve food or beverages have written nutrition standards, of those that do, almost 80% reported including the standards in contracts, highlighting an important implementation lever and a public health opportunity for communities to adopt standards that offer healthy food and beverage options in public spaces. Full article

The transition from a linear to a circular economy has intensified interest in environmentally friendly business models and policy instruments that support sustainable production and consumption. While prior research has largely examined green labels at the micro level, focusing on consumer perceptions and purchase intentions, limited evidence exists on their macro-level role in circular economic performance. This study tests the hypothesis that higher EU Ecolabel diffusion is positively associated with circular material use rates (CMUR) across European Union Member States over the period 2010–2024. This study does not directly measure business models but examines macro-level indicators associated with their development. Using panel data from Eurostat and the European Commission’s EU Ecolabel catalogue, ecolabel intensity is operationalized as the logarithm of total licenses per country. Pooled OLS models with year fixed effects and country-clustered standard errors are estimated, first in baseline specification and then with controls for GDP per capita, environmental tax revenues, manufacturing value added, and R&D intensity. Results reveal a positive and statistically significant relationship between ecolabel intensity and circular material use rates, remaining robust after including macroeconomic controls. These findings suggest that green labeling is associated with circular economy performance and may reflect an institutional dimension aligned with circular economy governance. The results are also consistent with patterns associated with environmentally friendly business models at the macro level. This study contributes by providing a macro-level, cross-country analysis of the relationship between EU Ecolabel diffusion and circular economy performance, incorporating key structural controls. Full article

The correct valuation of collateral supporting real estate loans has always been a key issue for the stability of the credit system. Substandard lending practices and the absence of uniform valuation approaches have historically contributed to the accumulation of non-performing loans. In recent years, several regulatory measures operating at both the European and national level have introduced principles, rules and procedures aimed at standardizing the valuation of properties pledged as collateral for credit exposures. These interventions seek to promote greater transparency, consistency, and prudence in property appraisals, thereby enhancing the soundness and resilience of the financial system. In January 2025, the updated Regulation (EU) 575/2013 came into force, incorporating the Basel III reform (also referred to as Basel 3+ or Basel IV). Among the innovations introduced, the concept of property value (PV) is particularly relevant, a prudential value that excludes expectations of price growth and considers the sustainability of the value over time in relation to the duration of the loan. PV is defined as a derived value with respect to market value (MV), determined by considering the main current and forward-looking risk factors that may arise during the life of the loan, including environmental, social and governance (ESG) risks, the intrinsic characteristics of the property and expectations regarding the economic cycle. This paper proposes a quantitative model for the determination of PV, applied to a practical case involving a residential property located in a medium-sized city in Italy’s Veneto region. The model adopts a deterministic and a probabilistic approach, the latter implemented through Monte Carlo simulation, which is indeed a generalization of the deterministic one. The model links the assessment of PV to the possible evolution of the property’s key parameters and the real estate cycle over the duration of the loan. It was tested under the assumption of a twenty-year mortgage originated in 2025 for the purchase of a residential property in Italy, considering two alternative locations: a suburban area and a city-centre area. The analysis conducted showed a substantially higher MV haircut for the suburban property compared with the central location. This difference reflects the fact that PV is less sensitive to real estate cycle fluctuations in more premium, central locations. Furthermore, the use of Monte Carlo simulation in the probabilistic approach enabled the calibration of the haircut according to a predefined confidence level, confirming the pattern observed in the deterministic framework. The combined evidence strengthens the empirical robustness of the model and highlights the importance of locational and cyclical dynamics in collateral valuation. Full article