Search Results (1,045)

As the concept of innovative, coordinated, green, open and shared development gains popularity, small- and medium-sized enterprises (SMEs) have come to acknowledge green product innovation (GPI) as essential to sustaining competitive advantage, embedding it within their strategic frameworks. However, most SMEs heavily rely on the continued support of stakeholders, unaware that organisational learning, such as perceived relative advantage (PRA) and innovation capabilities, is the core competitive strategy for achieving green transformation. Drawing on institutional theory and organisational learning theory, this study examines how institutional pressures influence innovation capability and PRA, which in turn drive GPI and corporate reputation. This study analyses data from a survey of 330 Chinese construction SMEs using structural equation modelling. The results show that GPI significantly enhances corporate reputation. Innovation capability and PRA act as mediators in the relationship between institutional pressure and GPI. These findings highlight the importance of organisational learning and explain the critical role of the institutional environment in promoting GPI and thus enhancing corporate reputation. This research provides pathways for SMEs in the construction industry to enhance sustainability while gaining a long-term competitive advantage, contributing to the building of ecological civilisation and a community with a shared future for mankind. Full article

Community gardening has become an important urban sustainability initiative that integrates ecological restoration with social participation. However, little is known about the psychological and social mechanisms that drive citizens’ willingness to engage in such activities, particularly in densely populated cities with limited green space. This study develops and empirically tests an integrative behavioral model combining environmental psychology, social cognitive theory, and environmental identity theory to explain citizens’ participation in community gardening in Tehran, Iran. Using survey data from 416 residents and analyzing results through structural equation modeling, the study evaluates the effects of six key predictors, including childhood nature experience, connectedness to nature, self-efficacy, outcome expectancy, psychological restoration, and collective environmental responsibility, on willingness to participate. The model explained 54% of the variance in participation, indicating high explanatory power. Five predictors significantly influenced willingness to participate: childhood nature experience, connectedness to nature, outcome expectancy, psychological restoration, and collective environmental responsibility, while self-efficacy was not significant. The findings reveal that engagement in community gardening is shaped more by emotional, restorative, and moral motivations than by perceived capability alone. Theoretically, this research advances understanding of pro-environmental participation by integrating memory-based, affective, and normative dimensions of behavior. Practically, it provides actionable insights for urban planners and policymakers to design inclusive, emotionally restorative, and collectively managed green initiatives that strengthen citizen participation and enhance urban resilience. Full article

Grounded in protection motivation theory, this study investigates the influence mechanisms of different instructional media and instructional models on students’ green behavior intentions. Employing a 2 (Instructional Media: Paper-based/Digital) × 2 (Instructional Model: Lecture-Based/Gamified) between-subjects experimental design, it examines the effects of instructional media and instructional models in sustainable laboratory safety education on students’ green behavior intentions, as well as the mediating role of protection motivation decision factors (perceived susceptibility, perceived severity, response efficacy, self-efficacy). The results indicate that instructional media influence students’ intention to engage in green behaviors through perceived severity, whereas instructional models positively affect this intention by enhancing self-efficacy. Aligning instructional media with instructional models positively impacts students’ green behavior intention. In the process of sustainable laboratory safety education, the interaction and applicability of multiple factors within instructional strategies should be considered. Full article

Rapid urbanization has intensified the demand for street designs that reconcile ecological quality with positive human experiences, particularly in high-density cities such as Tianjin, China. Streets function as key interfaces where ecological processes, social activities and human perception intersect. However, existing research tends to emphasize the amount of greenery while overlooking its structural characteristics, to treat perception as a psychological response decoupled from spatial context, and to make limited use of fine-grained functional data to examine how ecology and perception interact. This study develops an integrated analytical framework that combines the DeepLabV3+ model to extract the Urban Street Greenery Generalized Structure (USGGS) from Baidu Street View imagery with a vision transformer model trained on the Place Pulse 2.0 dataset to derive multidimensional perceptual metrics. Functional diversity is represented using point-of-interest (POI) data, and an enhanced Light Gradient Boosting Machine (LightGBM) model is employed to explore associations among greenery structure, perceived qualities and functional characteristics. Analyses of six urban districts in Tianjin indicate that ecological and perceived street qualities are closely related to the degree of coupling between vegetation structure and functional diversity. Streets characterized by multi-layered greenery and diverse, active functions tend to exhibit higher perceived aesthetics, safety and vitality, whereas streets with single-layer vegetation or functionally monotonous environments generally do not perform as well. Functional patterns appear to mediate relationships between greening and perception by shaping how ecological form is experienced through everyday social activities. Overall, the results suggest that closer coordination between ecological design and functional organization is important for fostering urban streets that combine environmental resilience with strong perceived appeal. Full article

Amidst the paradigm shift in park city development from quantitative metrics to spatial performance, urban complex parks—a novel green space type developed privately yet fulfilling public functions—present an innovative approach to park provision in high-density urban areas. However, systematic empirical evidence on their social value remains scarce. This study characterizes urban complex parks as a new form of green public space that provides key ecosystem services and proposes a three-dimensional evaluation framework integrating “usage vitality, place attractiveness, and user satisfaction.” Analyzing 19 park-equipped complexes among 75 cases in Shanghai using LBS data and online reviews through controlled linear regression and comparative analysis, our results indicate complexes with parks were associated with significantly outperforming others in place attractiveness and user satisfaction. Key findings include associations with a 413.7 m increase in average OD distance, a 3.4–4.0% higher city-level visitor share, and 5.24 percentage points greater median positive review rate. Crucially, spatial location outweighs green ratio and size in determining social value. Ground-level parks, through superior spatial integration, function as effective “social-ecological interfaces,” significantly outperforming rooftop parks in attracting long-distance visitors, stabilizing foot traffic (≈3% lower fluctuation), and enhancing per-store visitation. This demonstrates that green space quality (experiential quality and spatial configuration) matters more than quantity. Our findings suggest that urban complex parks can create social value through perceivable naturalness and restorative environments, providing an empirical basis for optimizing park city implementation in high-density contexts and highlighting the need to reconcile broad attractiveness with equitable local access. Full article

Amid accelerating climate change, intensifying urban heat island effects, and rising public demand for livable, walkable streets, there is an urgent practical need for interpretable and actionable evidence on streetscape quality. Yet, research on streetscape quality has often relied on single data sources and linear models, limiting insight into multidimensional perception; evidence from temperate monsoon cities remains scarce. Using Tianjin’s main urban area as a case study, we integrate street-view imagery with remote sensing imagery to characterize satellite-derived environmental indicators at the point scale and examine the following five perceptual outcomes: comfort, aesthetics, perceived greenness, summer heat perception, and willingness to linger. We develop a three-step interpretable assessment, as follows: Elastic Net logistic regression to establish directional and magnitude baselines; Generalized Additive Models with a logistic link to recover nonlinear patterns and threshold bands with Benjamini–Hochberg false discovery rate control and binned probability calibration; and Shapley additive explanations to provide parallel validation and global and local explanations. The results show that the Green View Index is consistently and positively associated with all five outcomes, whereas Spatial Balance is negative across the observed range. Sky View Factor and the Building Visibility Index display heterogeneous forms, including monotonic, U-shaped, and inverted-U patterns across outcomes; Normalized Difference Vegetation Index and Land Surface Temperature are likewise predominantly nonlinear with peak sensitivity in the midrange. In total, 54 of 55 smoothing terms remain significant after Benjamini–Hochberg false discovery rate correction. The summer heat perception outcome is highly imbalanced: 94.2% of samples are labeled positive. Overall calibration is good. On a standardized scale, we delineate optimal and risk intervals for key indicators and demonstrate the complementary explanatory value of street-view imagery and remote sensing imagery for people-centered perceptions. In Tianjin, a temperate monsoon megacity, the framework provides reproducible, actionable, design-relevant evidence to inform streetscape optimization and offers a template that can be adapted to other cities, subject to local calibration. Full article

The objective of this study is to explore the applicability of irregular area cartograms for the visualization of sustainable development indicator components, utilizing earth observation (EO) data. The analysis focuses on selected Sustainable Development Goals (SDG 11 ‘Make cities and human settlements inclusive, safe, resilient and sustainable’ and SDG 13 ‘Take urgent action to combat climate change and its impacts’) and specific targets and indicators related to green urban areas and air quality (targets: 13.2, 11.6, and 11.7; indicators: 11.6.2., 11.7.1., 13.2.2.). A comprehensive review of the relevant literature indicates that irregular area cartograms are employed only sporadically in the context of SDG monitoring, particularly at lower levels of territorial division (i.e., communes and counties). To address this gap, a series of thematic maps, including choropleth maps and irregular area cartograms, was developed. These visualizations are based on EO-derived datasets and supplemented with statistical information obtained from the Local Data Bank of the Statistics Poland. The analysis demonstrates that irregular area cartograms provide an effective means of visualizing spatial disparities in variables such as urban green space availability and air pollution at the commune and county levels. These visualizations enhance the interpretability of complex indicator structures and support more nuanced assessments of progress toward selected Sustainable Development Goals, especially in spatially detailed analytical frameworks. Preliminary usability testing among potential users revealed that irregular area cartograms are perceived as an interesting visualization technique that enhances data interpretation. Full article

Against the backdrop of accelerating population aging, urban green spaces have become primary venues for elderly daily activities, with their winter thermal comfort emerging as a critical determinant of senior wellbeing. However, existing studies lack quantitative guidelines on how plant characteristics affect thermal comfort, limiting age-friendly design. Thirty representative landscape space sites (waterfront, square, dense forest, and sparse forest) in Beijing’s Zizhuyuan and Taoranting Parks were analyzed through microclimate measurements, 716 questionnaires, and scoring evaluations, supplemented by PET field data and ENVI-met simulations. A scoring system was developed based on tree density, plant traits (height, crown spread), and spatial features (canopy closure, structure, enclosure, and evergreen coverage). Key findings: (1) Sparse forests showed the best overall thermal comfort. Square building spaces were objectively comfortable but subjectively poor, while waterfront spaces showed the opposite. Dense forests performed worst in both aspects. (2) Wind speed and humidity were key drivers of both subjective and objective thermal comfort, and differences in plant configurations and landscape space types shaped how these factors were perceived. (3) Differentiated optimal scoring thresholds exist across the four landscape space types: waterfront (74 points), square building (52 points), sparse forest (61 points), and dense forest (88 points). (4) The landscape space design prioritizes sparse forest spaces, with moderate retention of waterfront and square areas and a reduction in dense forest zones. Optimization should proceed by first controlling enclosure and shading, then adjusting canopy closure and evergreen ratio, and finally refining tree traits to improve winter thermal comfort for the elderly. This study provides quantitative evidence and optimization strategies for improving both subjective and objective thermal comfort under diverse plant configurations. Full article

Social media has become the core channel through which people communicate, and the important role of influencer marketing in creating a fan base for brands is widely recognized. Grounded in Source Credibility, Homophily Theory and Signaling Theory, the purpose of this study is to investigate how influencer efficacy affects the fan effect of green food brands under digital social media. This paper adopts a quantitative research method. A cross-sectional survey was conducted on the Wenjuanxing platform and collected 417 valid responses from consumers who had previously purchased green food based on an influencer’s recommendation. A conceptual model was tested through the structural equation modelling procedure. The results showed that professionalism (β = 0.166, p = 0.011), trustworthiness (β = 0.291, p < 0.001), and similarity (β = 0.267, p < 0.001) had positive effects on perceived quality. Furthermore, perceived quality (β = 0.333, p < 0.001) significantly promoted the formation of the brand fan effect and partially mediated the effects of these characteristics of influencers on the brand fan effect. This study provides new insight into the fan effect of green food brands and also provides a theoretical basis for green food companies to accurately match their brands with suitable influencers, enhance the brand fan effect, and rationally formulate operational strategies. Full article

Due to its significant environmental impact, the built environment faces growing pressure to transition toward more sustainable practices. Biomimicry, a novel field of practice that entails design and innovation inspired by nature’s time-tested strategies, offers a promising pathway to enhance sustainability in the construction industry. Hence, this study examines the perceived benefits of applying biomimicry principles in the construction sector, aiming to identify the key dimensions that underpin its transformative potential. An exploratory factor analysis (EFA) was conducted using data collected through a structured questionnaire survey, which contained 18 indicators derived from a targeted literature synthesis. The questionnaire was administered to 120 purposively sampled, duly registered, practising construction and biomimicry professionals in South Africa. The instrument captured perceptions of the environmental, economic, and socio-functional benefits of adopting and implementing biomimicry. The EFA revealed four principal factors: socio-economic and health, ecological resilience, performance enhancement and green market efficiency. These four factors cumulatively accounted for approximately 70% of the total variance, indicating a strong internal structure of perceived benefits. The findings demonstrate that stakeholders perceive biomimicry as a tool for reducing environmental footprints and as a catalyst for innovation, circularity, and regenerative design practices in the built environment. This research contributes to the emerging discourse on biomimicry in the built environment by providing empirical evidence on its multifaceted value. It highlights the importance of integrating natural design intelligence into construction to foster more adaptive, efficient, resilient and sustainable systems. The paper recommends policy support, interdisciplinary collaboration, and further research to operationalise biomimicry within mainstream construction processes. Full article

Public attitudes toward renewable energy sources (RES) have been widely studied at the household level. However, less is known about how citizens differ in their broader perceptions, knowledge, and behavioral orientations toward renewable energy. This study explores such heterogeneity within Polish society using survey data from a representative sample of 974 respondents. An exploratory factor analysis identified six dimensions of renewable energy attitudes: environmental concern, knowledge and awareness, social and economic support, perceived ease of use, perceived benefits, and behavioral intentions. Using these attitudinal dimensions, cluster analysis revealed two distinct consumer segments that differ in their overall level of engagement with renewable energy. The first cluster comprises pro-green and engaged individuals who express strong concern for environmental issues, have a greater awareness of the benefits of renewable energy, and are more ready to adopt such technologies. The second cluster represents respondents who are less engaged or skeptical, with weaker environmental and behavioral commitment. The comparison of sociodemographic characteristics across clusters showed no statistically significant differences in gender, age, education, or place of residence, and only a marginal effect for income. The findings suggest that support for renewable energy in Poland is not driven by demographics but somewhat shaped by cognitive and value-based factors, offering valuable insights for policymakers and communication strategists promoting the energy transition. Full article

This article examines the phenomenon of greenwashing in the automotive industry and its perception by market participants, i.e., vehicle users and potential buyers. The main goal of this publication is to highlight greenwashing and determine how this concept is perceived by consumers in the context of the electric vehicle market and whether it may influence future purchasing decisions. A study was conducted using a proprietary questionnaire. Respondents were asked about their knowledge and awareness of greenwashing. Subsequent questions asked 417 respondents to provide their perceptions of greenwashing in the electric vehicle market. Greenwashing is a marketing practice that portrays a company’s products or activities as more environmentally friendly than they actually are, potentially misleading potential customers. This article concludes that greenwashing in the automotive industry has a real impact on consumer decisions and brand image. While green marketing can bring short-term benefits, long-term lack of transparency and misinformation can lead to a loss of trust and harm to both companies and the environment. Real benefits can only be achieved by combining these claims with actual environmentally friendly practices. Full article

The rapid growth of financial technology (FinTech) has created new opportunities to promote environmentally responsible consumption. Yet, little is known about the factors that shape consumer trust in green FinTech platforms, which is crucial for their adoption and long-term impact. This study develops and tests a partial least squares structural equation model (PLS-SEM) integrating sustainability and technology determinants of trust. Survey data from 240 consumers were analyzed. Results show that green transparency, platform security and privacy, and ease of use significantly enhance perceived credibility, while social influence and perceived environmental responsibility increase green perceived value. In turn, perceived credibility reduces perceived risk and promotes trust. Trust is also strengthened by environmental responsibility, green perceived value, and platform innovativeness, but weakened by perceived risk. All hypothesized relationships were statistically significant. The findings highlight the importance of credible sustainability communication, high level security, and social endorsement in building trust for green FinTech services. Full article

This study moves beyond the static view prevalent in hospitality loyalty research by developing and longitudinally testing a process-oriented model of loyalty formation. Recognizing that loyalty is a dynamic outcome, we employ a three-wave panel design with a three-month lag, surveying 562 customers of organic restaurants within green-certified hotels. Data are analyzed using a Cross-Lagged Panel Model (CLPM) to meticulously map the temporal interplay among key antecedents, controlling for autoregressive effects and covariates. The findings provide robust evidence for a specific cognitive-to-affective sequence: perceptions of food quality at one time point shape subsequent judgments of perceived value, which in turn drive customer satisfaction, ultimately fostering loyalty in a succeeding period. Crucially, the CLPM also reveals that food quality and price fairness exert significant, direct time-lagged effects on loyalty, suggesting the presence of dual psychological pathways. By establishing temporal precedence and mapping sequential mediation, this study offers a more causally robust and managerially actionable understanding of how customer loyalty evolves. Full article

Green agricultural technologies play a vital role in enhancing ecological quality, and biopesticides, as a key component, can reduce chemical pollution while improving soil health. Drawing on micro-level survey data from farmers in Sichuan Province, China, this study employs an ordered probit model to assess the effect of farmers’ time preferences on their willingness to adopt biopesticides. It examines the underlying mechanisms through the lens of perceived value theory. The results indicate that farmers with a stronger orientation toward future returns are significantly more likely to adopt. Time preference influences adoption decisions by shaping the perceived value of biopesticides in terms of ecological improvement, intergenerational health protection, and food safety assurance, with mediating effects accounting for 22.90%, 57.18%, and 26.14% of the total effect, respectively. Heterogeneity analysis shows that the influence of time preference is weaker among farmers with higher educational attainment, and that larger cultivated areas further attenuate its impact on large-scale farmers’ adoption willingness. These findings provide micro-level evidence and targeted policy insights to foster the adoption of green agricultural technologies. Full article