Environment and Social Psychology

Environment and Social Psychology

       ISSN: 

2424-8975 (Online)

2424-7979 (Print)

Journal Abbreviation:

Environ. Soc. Psychol.

Environment and Social Psychology (ESP) is an international open-access academic journal dedicated to publishing highly professional research in all fields related to the relationship between environment and social psychology. All manuscripts are subjected to a rigorous double-blind peer review process, to ensure quality and originality. We are interested in the original research discoveries. This journal also features a wide range of research in ancillary areas relevant to social psychology. ESP publishes original research articles, review articles, editorials, case reports, letters, brief commentaries, perspectives, methods, etc. ESP aims to explore the connections between the environment and human condition, and enhance the environment protection consciousness and behaviors that are crucial to achieve the goals of sustainable development and human development. 

The research topics of ESP include but are not limited to:

  • Environment psychology
      Environmental perception
      Environmental behaviour
      Environmental design
  • Social psychology
      Social perception
      Social Behaviour
      Interpersonal Relationships
  • Environment and mental health
      Mental Health
      Coping mechanisms
      Emotions and the Environment
  • Sustainability and behavioral science
      Sustainable Development
      Behavioural change theory
      Social norms and environmental behaviour
  • Climate psychology
      Psychological impacts of climate change
      Behavioural responses
      Climate education
  • Interdisciplinary research
      Environment and social sciences
      Technology and psychology
        Arts and Humanities
      Culture and environment
  • Social Sciences（Health）
  • Developmental and Educational Psychology
      Learning, attention deficit and the environment
      Genderisation, child development and the social environment
  • Neurological and physiological psychology
      Depression and the environment
      Problem Solving and the Social Environment
 

Notice: The ownership of Environment and Social Psychology (ESP) has been transferred from Asia Pacific Academy of Science Pte. Ltd. to Arts and Science Press Pte. Ltd. The new publisher will publish this journal starting from Volume 9, Issue 7 of 2024. Contributors should make submissions to the new journal system (https:/esp.as-pub.com/index.php/esp) from March 25, 2024. Authors of previous submissions can track the publication progress through the original journal system.

Vol. 10 No. 11 (2025): publishing

Table of Contents

Open Access
Research Articles
Abstract
ESP-4000
AI-Powered Analytics for Climate Data Management and Policy Implementation
by Ali Adel, Nidhal Jasm Mohammed Ali, Wissam Anwar Mohammed Hassan Ali, Huda Yousif Khattab, Faris Abdul Kareem Khazal
2025,10(11);    16 Views
doi: https://doi.org/10.59429/esp.v10i11.4000
Abstract The rising intricacy and volume of climate data are major challenges within climate modelling, forecasting, and policy implementation. Conventional statistical methods can lag behind in identifying nonlinear relationships, seasonal variations, and long-term climate patterns. The analysis of big climate data utility can greatly be increased through AI-enabled analytics behind it, where this work aimed to evaluate the effectiveness of various deep learning models in climate data application. A hybrid CNN-RNN model to simultaneously examine spatial and temporal climate data was created, with better performance than traditional prediction models and the ability to decrease both prediction errors and uncertainty. Its high-resolution predictions covered multiple sources of data, including satellite imagery, weather stations and historical climate data. The model validation metrics confirmed test-retest reliability was high with the Hybrid CNN-RNN performing the lowest R² and highest RMSE amongst the models tested. AI-Rank-Recognizance: The models demonstrated a possibility of using AI-analytic technologies to improve climate prognosis, analyze relationships between data units of the climate, and formulate adaptive legislative measures. With its progress, the fields of model interpretability, computational efficiency, and real-time deployment still face challenges. Future work around explainable AI, real-time climate tracking, and the incorporation of socioeconomic factors will help to take SDG projections to the next level. Utilizing AI for climate analysis, this research provides insights that may support sustainability planning and inform evidence-based discussions around climate-related policies.
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Open Access
Research Articles
Abstract
ESP-4229
Digital leadership and behavioral adaptation in higher education: Examining teachers’ digital competency and teaching performance
by Yuexin Xin, Aida Hanim A. Hamid, Azlin Norhaini Mansor
2025,10(11);    42 Views
doi: https://doi.org/10.59429/esp.v10i11.4229
Abstract Universities are confronted with significant potential and problems as a result of the rapid digital change brought about by the arrival of the Industry 4.0 era. In this regard, university administrators' and educators' roles and competences are changing to become more innovative and prepared for the digital age. This study looks at how administrators' digital leadership affects teachers' performance in the classroom and how teachers' digital competency functions as a mediator in Inner Mongolian Chinese colleges. Through the improvement of teachers' digital competency, administrators' digital leadership significantly improves teachers' teaching performance, both directly and indirectly, according to data gathered from 386 university instructors and analysed using Structural Equation Modelling (SEM) with AMOS. The results highlight how enhancing teachers' digital competency through focused and ongoing professional development can boost the benefits of digital leadership and raise the calibre of instruction. The theoretical knowledge of digital leadership mechanisms in higher education is enhanced by this study, which also offers useful suggestions for developing instructors who are proficient in digital technology and innovative educational university administrators. By contextualising these findings within Inner Mongolia while connecting them to global trends in digital education, the study also extends the international relevance of digital leadership research.
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Open Access
Research Articles
Abstract
ESP-3922
Mechanism of brand authenticity on customer value co-creation: Mediating effect of brand trust
by Zhenggui Chen, Jinwen Tang
2025,10(11);    50 Views
doi: https://doi.org/10.59429/esp.v10i11.3922
Abstract This study investigates the impact mechanism of brand authenticity on the importance of customers co-creation, highlighting how brand trust acts as a mediator and the moderating influence of perceived behavioral control. Utilizing quantitative research methodologies, 368 valid samples were gathered via questionnaire surveys, and statistical techniques, including Structural Equation Modeling (SEM), were used to analyze the data. The results indicate that brand authenticity positively influences brand trust, which acts as a powerful mediator in the connection between authenticity and customer value co-creation. Perceived behavioral control serves in the role of moderator in these relationships, enhancing the positive impact when consumers perceive higher control over their behavior. Brand authenticity directly affects customer value co-creation, highlighting its role as a key driver. The study contributes theoretically by providing an in-depth analysis of the mediating role of brand trust and exploring the moderating effect of perceived behavioral control. Practically, it offers strategies for brand managers to enhance customer value co-creation by strengthening brand authenticity and trust, providing significant guidance for brand management in the digital and globalized era.
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Open Access
Research Articles
Abstract
ESP-4190
Factors Influencing Job Burnout and Its Impact on Work Performance among Undergraduate University Teachers in Yunnan: The Moderating Effect of Organizational Identification
by Haibiao Liu, Panjanat Vorawattanachai
2025,10(11);    48 Views
doi: https://doi.org/10.59429/esp.v10i11.4190
Abstract The purposes of this study were 1) to identify the factors of job burnout, work performance, organizational identification among undergraduate university teachers in Yunnan.  2) To analyze the influencing factors of job burnout affecting the work performance among undergraduate university teachers in Yunnan. 3) To examine the organizational identification as the moderating variable affect the job burnout and work performance among undergraduate university teachers in Yunnan. The sample group consisted of teachers using Yamane’s formula, to be 737 teachers. The research instrument used in this study was a structured questionnaire. Data were analyzed by finding frequency, percentage, mean, standard deviation, Pearson’s product moment correlation coefficient, and path analysis. The research results can be summarized as follows: 1) The factors of job burnout and work performance have a high level (=5.773 S= 0. 929 and =3.467 S=1.420), except organizational identification is moderate level (=3.371 S=1.164).  2) The path coefficients of the structural equation model, there is significant correlation between emotional exhaustion and work performance (standardized path coefficient = -0.302, p < 0.001), depersonalization and work performance (standardized path coefficient = -0.325, p < 0.001), reduced personal accomplishment and work performance (standardized path coefficient = -0.288, p < 0.001). 3) The organizational identification as the moderating variable affects the job burnout and work performance are significant (t = -6.259, p = 0.000 < 0.05, t= -6.737 p=0.000<0.05, t= -6.230, p=0.000<0.05).
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Open Access
Research Articles
Abstract
ESP-4253
Building Confidence, Building Brand: Understanding Institutional Confidence and Brand Equity in Higher Education through University Quality and Strategic Branding
by Marti W. Gregorio, Jason V. Chavez
2025,10(11);    10 Views
doi: https://doi.org/10.59429/esp.v10i11.4253
Abstract This study explored the initiatives of top-ranked Philippine universities and their confidence in the effectiveness of these initiatives across four domains—course attributes, infrastructure, faculty profile, and research profile—as dimensions of institutional branding. Addressing the gap in literature that often separates branding from quality assurance, the study examined how confidence reflects authentic implementation and institutional integrity. Using a qualitative-descriptive approach, the research analyzed institutional reports, related literature, and thematic evidence from universities ranked in leading Asian listings. Findings revealed that universities demonstrate confidence through coherent and mission-driven practices: industry-aligned curricula that enhance employability and credibility; modernization and transparent governance that build trust and efficiency; comprehensive and participatory faculty development that ensures academic excellence; and policy-driven, nationally aligned research systems that promote innovation and social impact. Overall, the study concludes that institutional confidence emerges not from symbolic recognition but from genuine, data-informed practices embedded in organizational culture. Such confidence transforms branding into a lived expression of quality, accountability, and relevance in Philippine higher education.
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Open Access
Research Articles
Abstract
ESP-3570
Gender-based analysis of teacher empowerment scale: Examining factor structure and rasch model fit in higher education
by PANELA, Teody Lester V.*
2025,10(11);    9 Views
doi: https://doi.org/10.59429/esp.v10i11.3570
Abstract This study examined the measurement invariance and psychometric properties of the Teacher Empowerment Scale across gender groups in higher education. Using Rasch analysis, 86 items spanning three factors (fostering continuous improvement, teaching ownership and freedom, and work climate and conditions) were analyzed with data from 968 faculty members. Results demonstrated excellent model fit (mean infit/outfit MNSQ ≈1.00) and high reliability (α=0.90-0.93) across all factors. Differential item functioning analysis revealed minimal gender-based variations, with only 5 items in factor 1, 4 items in factor 2, and none in factor 3 showing significant differences. The scale provides fair assessment of teacher empowerment constructs for both male and female educators, supporting previous research findings. Recommendations include implementing the scale confidently while attending to items with differential functioning; refining these items to enhance gender neutrality; extending validation research to additional demographic variables; conducting longitudinal studies; and utilizing the three-factor structure for designing targeted interventions. This research addresses existing gaps regarding gender considerations in scale development, advancing equitable assessment instruments for higher education settings.
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Open Access
Research Articles
Abstract
ESP-4109
AI and machine learning in environmental monitoring: enhancing legal compliance and public trust
by Adel Subhe Abedalkader Abraheem, Jameela Khedher Abbas, Duha Khalil Ibrahim Ahmed, Nazar Habeeb Abbas, Baker Mohammed Khalil, Petro Ponochovnyi
2025,10(11);    14 Views
doi: https://doi.org/10.59429/esp.v10i11.4109
Abstract As environmental pollution becomes more complex over the years, finding effective monitoring methods becomes crucial. In real-time monitoring, artificial intelligence (AI) and machine learning (ML) models can be integrated to obtain information about air, water, and soil quality assessment. To improve the accuracy of pollution detection and forecasting, this study proposes a comprehensive framework that integrates IoT-enabled sensor networks, predictive AI models, and statistical validation techniques. The article assesses the relative performance of Gradient Boosting Machines (GBM), Long Short-Term Memory (LSTM) networks, and Transformer-based split networks to predict environmental changes. The study was conducted across multi-domain urban, suburban, and rural monitoring zones using multimodal datasets derived from IoT sensors, remote sensing streams, and laboratory-validated environmental indicators. Similar integrated AI–IoT ecological monitoring strategies have been highlighted in recent literature as essential for sustainable environmental protection and high-fidelity pollution forecasting. The dataset comprised 216 air samples, 144 water samples, and 96 soil assays collected from three monitoring regions.  Results show that PM2.5 concentrations decreased by 12% (p < 0.01), water turbidity declined by 15% (p < 0.01), and lead levels in soil were reduced by up to 16.1% in agricultural sites. The GBM model achieved the highest predictive performance with Root Mean Square Error (RMSE) = 2.1 µg/m³, Coefficient of Determination (R²) = 0.94, and F1-Score = 92.0%, outperforming LSTM and Transformer models. Beyond technical performance, this study also highlights the legal and societal dimensions of AI-driven monitoring. By improving accuracy and transparency, these systems strengthen regulatory compliance frameworks while fostering public trust in environmental governance. Understanding how citizens and policymakers perceive the reliability of AI-based platforms is essential to ensuring policy acceptance and compliance behavior. This dual perspective—technological and psychological—illustrates that sustainable outcomes depend not only on advanced algorithms but also on social legitimacy and institutional accountability.
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Open Access
Research Articles
Abstract
ESP-4236
Estimating perceived street safety via pairwise comparisons and semantic segmentation with a social-psychological lens
by Haoyuan Xiao, Yoshinori NATSUME
2025,10(11);    43 Views
doi: https://doi.org/10.59429/esp.v10i11.4236
Abstract We integrate pairwise image comparisons with Semantic Segmentation to assess perceived street safety through a social-psychological lens. Drawing on classic findings about natural surveillance, signs of disorder, and risk appraisal, we pre‑specified simple directional expectations: brighter and cleaner scenes and those affording visibility should feel safer; visible rubbish and graffiti should depress safety appraisals; moderate human presence should increase perceived safety by signaling guardianship. Using 20 photos from the Shinsakae district (Nagoya, Japan), 69 participants completed 13,110 pairwise choices (all 190 combinations). A Mask2Former model, pretrained on ADE20K and fine-tuned on 263 locally annotated photos, improved mIoU from 34.15% to 66.10% and yielded area ratios for CPTED-relevant elements (lighting, greenery, people, cars, bicycles, rubbish, graffiti). We then estimated a weighted scoring function mapping these visual features to perceived-safety scores. The AI scores broadly tracked human rankings and reproduced expected social-psychological regularities: lighting/cleanliness associated positively with perceived safety, while rubbish/graffiti associated negatively; daylight and a sense of openness mattered across groups; gender, age, and nationality revealed interpretable differences in emphasis (e.g., women prioritized lighting; older adults weighted illumination more strongly; Japanese participants were more sensitive to cleanliness). We discuss how environmental cues shape quick, intuitive judgments of safety and how AI-assisted diagnostics can operationalize CPTED-informed improvements.
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Open Access
Research Articles
Abstract
ESP-3950
Leadership in Environmental Management: Strategies for Climate Resilience
by Mudher Ghaeb Ali, Aziz Yousif Muttailb, Siham Kamel Mohammed Dawood, Hameed Salim Alkabi, Hamza Aljebouri
2025,10(11);    31 Views
doi: https://doi.org/10.59429/esp.v10i11.3950
Abstract The escalating impacts of climate change demand leadership strategies that enhance environmental resilience and sustainability. Effective leadership in environmental management plays a critical role in addressing regulatory challenges, promoting sustainable resource use, and mitigating climate risks. This study examines five leadership models—transformational, adaptive, collaborative, technological, and policy-driven, analyzing their effectiveness in driving sustainability initiatives across key sectors, including energy, manufacturing, public governance, technology, and agriculture. These five models were selected based on their theoretical relevance to climate governance frameworks and empirical observability across sectors. A structured comparative analysis was conducted using a longitudinal research design, integrating quantitative performance metrics and qualitative stakeholder insights. The study evaluates leadership-driven sustainability frameworks, emphasizing proactive risk management, regulatory compliance, stakeholder engagement, and the integration of technological innovations. Findings indicate that technological leadership yields the highest sustainability impact, particularly in carbon neutrality, emission reduction, and renewable energy utilization. Adaptive leadership enhances flexibility in sustainability transitions, while collaborative leadership facilitates policy implementation and multi-sector partnerships. Transformational leadership demonstrates effectiveness in disaster preparedness and long-term resilience strategies.  These findings underscore the importance of integrated leadership strategies that embrace both technological progress and adaptive and cooperative governance. Improving leadership capabilities in environmental management strengthens compliance with regulation, cross-sector coordination, and transformational change on sustainability. Data collected during this research can benefit policymakers, political frameworks, environmental leaders, industry experts and strategists attempting to determine the highest achievable format of leadership governing climate resilience. The article contributes an integrative model linking leadership typologies with measurable sustainability outcomes, filling a gap in comparative environmental governance studies.
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Open Access
Research Articles
Abstract
ESP-4223
From body image to bonding: The role of intimacy in enhancing relationship satisfaction among Malaysian adults
by Shubashini Mathialagan, Amos En Zhe Lian, Boon Tao Chew
2025,10(11);    22 Views
doi: https://doi.org/10.59429/esp.v10i11.4223
Abstract This study investigated the influence of body image on intimacy and relationship satisfaction among Malaysian adults in romantic relationships, with a specific focus on intimacy as a potential mediator. A cross-sectional online survey was conducted with 245 Malaysian participants and the correlational analyses revealed positive associations between body image and intimacy, body image and relationship satisfaction, and a particularly strong positive correlation between intimacy and relationship satisfaction. Mediation analysis confirmed a significant indirect effect, indicating that intimacy fully mediated the relationship between body image and relationship satisfaction. These findings suggest that individuals with higher satisfaction in body image are more likely to experience greater emotional closeness with their partners, which in turn contributes to higher relationship satisfaction. The results emphasize the crucial role of intimacy in shaping relationship quality and suggest that the impact of body image on relationship satisfaction operates through this emotional bond. Mental health professionals in Malaysia may benefit from incorporating these insights into culturally sensitive therapeutic interventions aimed at improving intimacy and communication in couples facing body image concerns.
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Open Access
Research Articles
Abstract
ESP-3844
Audience's Mentality on Confidence towards Public Speakers during Political Campaigns
by Jason V. Chavez, Joseph B. Quinto, Ma. Theresa L. Eustaquio, Leizl Joy A. Alzate, Bernadette R. Gumpal, Juanito P. Tandoc, Jr., Sar-Ana M. Abdurasul, Herda B. Usman, Cynthia D. Miranda, Elena B. Panugot
2025,10(11);    10 Views
doi: https://doi.org/10.59429/esp.v10i11.3844
Abstract While effective public speaking is a critical element in political campaigning, how audiences perceive speaker confidence, and how that perception is shaped by specific socio-cultural values, remains underexplored. This study addresses this gap by examining how registered Filipino voters interpret the confidence and communication styles of political speakers, as well as identifying the specific words or messages that resonate most and influence voter perception. Using an exploratory qualitative design, the study involves one-on-one interviews with 25 registered Filipino voters from Northern Luzon, Western Visayas, and the Zamboanga Peninsula. Data were analyzed using reflexive thematic analysis to uncover themes related to public perception of speaker confidence, the emotional and psychological undertones of speaker delivery, and the linguistic elements that make political messages impactful. The findings reveal that for Filipino voters, confidence is not a projection of dominance but is interpreted as a relational construct rooted in perceived authenticity, humility, and adaptability. Findings contribute to the fields of political communication, campaign strategy, and public speaking by offering insights into how culturally-specific values and perceived authenticity influence public trust, emotional connection, and electoral decision-making.
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Open Access
Research Articles
Abstract
ESP-4143
Translation and validation of the MUSE questionnaire in Chinese for elderly hypertensive patients: A study in the context of community pharmacist-led multidimensional educational interventions
by Yandi Zhang, Boon Seng Tan, Huichao Liu, Nahlah Elkudssiah Ismail
2025,10(11);    103 Views
doi: https://doi.org/10.59429/esp.v10i11.4143
Abstract Objective : To translate, culturally adapt, and validate the Medication Understanding and Use Self-Efficacy (MUSE) Scale for Chinese elderly hypertensive patients (MUSE-CH), providing a psychometrically sound instrument to assess medication self-efficacy in the context of community pharmacist-led interventions. Methods: A two-phase mixed-methods approach was employed. Phase A involved establishing MUSE-CH through standardized forward-backward translation procedures. Five experts conducted content validity assessment, while reliability and construct validity were examined using Cronbach's α coefficients and Rasch modeling. Results: MUSE-CH demonstrated robust psychometric properties with S-CVI/Ave of 0.975 and total scale Cronbach's α of 0.847. Medication adherence behavior and medication learning dimensions showed α coefficients of 0.825 and 0.798, respectively. Conclusions: The MUSE-CH scale exhibits satisfactory reliability and validity for assessing medication self-efficacy in Chinese elderly hypertensive populations.
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Open Access
Research Articles
Abstract
ESP-4252
Psychological differences in luxury consumption between China and the united states and strategies for building a sustainable consumption market
by Mengyao Li
2025,10(11);    18 Views
doi: https://doi.org/10.59429/esp.v10i11.4252
Abstract This study compares luxury consumption psychology in China and the United States using a triangulated approach drawing from academic literature, industry data, and policy documents. The study find that, although consumers in both countries share similar motivations for identity construction and value pursuit, they differ in areas such as relationship fluidity, regulated visibility boundaries, media accessibility, sense of presence, and verifiability. These factors shape different value rhythms and trust formation paths. Chinese consumers have shifted from overt brand signaling to preserving long-term traceable value, while American consumers maintain stable preferences through craftsmanship, heritage, and circular channels. To support the sustainable development of the Chinese market, this study proposes the following strategies: reducing trust costs through digital product passports, enhancing value realization through brand-led buyback-certification-refurbishment-resale, and strengthening systemic accountability through quantifiable extended producer responsibility. The study also identifies potential risks such as symbolic substitution, exclusivity issues, and information asymmetry to maintain a critical perspective. The goal of this research is to provide verifiable, governance-compliant guidance that promotes rational and sustainable luxury consumption during periods of economic uncertainty.
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Announcements

Announcement about Artificial Intelligence in Academic Writing issues

With the rapid advancement of artificial intelligence (AI) technology, the use of AI tools, such as ChatGPT and other large language models, is becoming increasingly prevalent in research publications. Art and Science Publishing House is dedicated to continuously refining and updating its policies regarding the use of AI tools in academic writing. In alignment with COPE’s position statement on AI tools, we hereby outline the following guidelines:  

Authorship and Accountability 

AI tools cannot be listed as authors or co-authors of a manuscript. This is because AI tools cannot take responsibility for the content of a submission, nor do they possess the ability to manage copyright and licensing agreements.  

Transparency in Disclosure 

Authors who use AI tools in the preparation of their manuscripts—whether for writing, data collection, or data analysis—must transparently disclose the use of such tools. This disclosure should include:  

A description of how the AI tool was used.  

The specific AI tool(s) employed.  

This information should be clearly stated in either the "Methods" or "Acknowledgments" section of the manuscript.  

Author Responsibility  

Authors bear full responsibility for the content of their manuscripts, including any portions generated by AI tools or data analyzed using AI during the research process. This ensures the integrity and accuracy of the published work.  

Consequences of Non-Disclosure

Failure to disclose the use of AI tools in a manuscript will result in serious consequences. “Environment and Social Psychology” and Art and Science reserve the right to reject or retract any submission found to have concealed the use of AI tools.  

These guidelines are designed to uphold the highest standards of academic integrity and transparency while embracing the potential benefits of AI in research. We encourage authors to use AI tools responsibly and to provide clear and honest reporting of their use.  

For further clarification or questions regarding these policies, please contact our editorial office.  
Posted: 2025-01-20
 

Call for papers

The Environment and Social Psychology (ESP) invites submissions of original research manuscripts in all areas of Environment psychology, including Human-Environment Interactions, Sustainability and Pro-Environmental Behavior, Climate Change Psychology, Restorative Environments, Urban Planning and Design, Place Attachment and Identity, Environmental Stressors and communication. 

Since 2022, ESP has been indexed in SCOPUS, further enhancing its visibility and academic impact. We encourage researchers interested in publishing with ESP to submit their work for consideration.

We look forward to your valuable contributions to the journal.
Posted: 2024-12-23
 

Announcement of New Editor-in-Chief

We are delighted to announce the appointment of Professor Gabriela Topa as the new Editor-in-Chief of Environment and Social Psychology (ESP), effective December 1, 2024. Professor Topa, who is currently affiliated with Universidad Nacional de Educación a Distancia (UNED) in Spain, brings a wealth of expertise in Social and Organizational Psychology to this prestigious role.

Having previously served as an esteemed member of our Editorial Board, Professor Topa has demonstrated exceptional leadership and scholarly acumen. Her appointment marks an exciting new chapter for ESP as we continue to advance our mission of publishing cutting-edge research in social psychology and related disciplines.

Environment and Social Psychology is a fully open-access journal committed to disseminating high-quality research across a broad spectrum of topics within the field. Under Professor Topa's guidance, we are confident that ESP will reach new heights of academic excellence and influence.

 

The ESP Editorial Team and Publisher
Posted: 2024-12-01
 
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