International Journal of Environmental Technology and Management (11 papers in press)

Special Issue on: OA Ecological Economics and Climate Change Technology, Policy, and Management

• Open Access

  National image multimodal discourse construction and information organisation decision management under deep learning and IPE education ( Free Full-text Access )

  by Qikun Ao, Cheolju Mun, Fengyi Li, Baoying Zhou 
  Abstract: grating world cultures. They play an irreplaceable and essential role in helping learners form their cognition and identification with Chinas national image from the perspective of ideological and political education (IPE). Therefore, this paper examines the construction of a national image through multimodal symbols in Chinese Language Course (hereafter Chinese Language) and Chinese Listening, Speaking, Reading, and Writing (hereafter Chinese). The discourse characteristics of the two textbooks are compared to reflect the ideology and standpoint of their discourse subjects. Multimodal discourse analysis provides theoretical support. A combination of discourse studies and corpus methods is used to compare and analyse the construction of a national image by multimodal symbols in two textbooks from China and the USA. Its description of Chinese societys modernisation and contemporary Chinese spiritual outlook is timely.
  Keywords: digital technology; national image; multimodality; discourse construction; information management; ideological and political education; IPE.
  DOI: 10.1504/IJETM.2026.10080741
   
  

• Open Access

  An empirical study on the masking effect of financing constraints on green preferences ( Free Full-text Access )

  by Zheyu Guo, Yulin Li, Baochuan Hou 
  Abstract: To explore the impact mechanism of financing constraints on corporate green preference (GP) and its behavioural economics underlying logic, this study utilises data from Chinese A-share listed companies spanning 20132022 to construct a masking effect analysis framework, and employs artificial intelligence (AI)-driven text analysis, two-way fixed-effects models, and bootstrap mediation effect tests for empirical investigation. This positive transmission pathway offsets part of the negative direct effect, thereby exhibiting the characteristics of a behavioural masking effect. The cognitive reshaping mechanism test shows that improvements in information processing ability and the correction of cognitive biases (CB) constitute the main negative transmission path, while updates in green cognition (GC) play a positive compensatory role, with the total indirect effect being 0.0319. This study reveals the nonlinear behavioural mechanism through which financing constraints influence GP, providing empirical evidence for the behavioural economics explanation of green transformation in the context of the digital economy.
  Keywords: financing constraints; green preference; masking effect; behavioural economics; empirical analysis; artificial intelligence.
  DOI: 10.1504/IJETM.2026.10080742
   
  

• Open Access

  The analysis of entrepreneurship for healthy development and organisational innovation in carbon neutrality green enterprises ( Free Full-text Access )

  by Feng Sun, Xiao Wang, Yingshan Fu 
  Abstract: The dual transitions of artificial intelligence and carbon neutrality present both opportunities and challenges for green enterprise development, while entrepreneurship plays a critical role in driving environmental technology innovation and organisational transformation. This paper investigates the impact mechanisms of entrepreneurial spirit on green enterprise healthy development and organisational innovation in the AI and carbon neutrality era from an environmental management perspective. We construct a multi-dimensional theoretical framework covering green innovation capability, environmental responsibility, digital transformation and organisational resilience dimensions. An empirical study was conducted with 342 green technology enterprises using structural equation modelling. This research provides scientific guidance for green enterprise management and environmental technology innovation strategy formulation in the carbon neutrality context.
  Keywords: carbon neutrality; entrepreneurship; sustainable and healthy development of enterprises; organisational innovation; linear regression analysis.
  DOI: 10.1504/IJETM.2026.10080792
   
  

• Open Access

  Textmusic cross-modal analysis of Dongting fishermens songs for cultural evolution ( Free Full-text Access )

  by Jun Liu, Yun Peng 
  Abstract: Traditional Dongting fishermens songs preserve rich regional cultural memory; however, quantitative evidence regarding their evolutionary patterns remains limited. To address this gap, this study proposes a cross-modal text-music analytical framework that integrates text mining techniques with music information retrieval (MIR) to examine both lyrical themes and melodic structures. Topic modelling is employed to identify key thematic dimensions, including labour, emotion and everyday life narratives, while MIR is used to extract musical features related to pitch, rhythm, and melody. Furthermore, cross-modal correlation modelling is conducted to reveal the co-evolutionary relationships between textual and musical characteristics. These findings establish a reproducible, data-driven analytical framework for investigating the evolutionary characteristics of intangible cultural heritage and provide methodological support for future digital humanities research.
  Keywords: Dongting fishermen’s songs; text mining; music information retrieval; MIR; cross-modal analysis; cultural evolution.
  DOI: 10.1504/IJETM.2026.10080793
   
  

• Open Access

  Coupling between digital factor-driven technological innovation and high-quality development based on the MGWR-LightGBM model ( Free Full-text Access )

  by Ye Wang, Weijie He 
  Abstract: This study uses prefecture-level and above cities in China from 2011 to 2023 as the sample and constructs a coupling coordination degree framework to measure the coordinated development between technological innovation and high-quality development. Digital finance is used as a proxy for the development level of digital factors to examine their impact on urban coupling coordination. Methodologically, the study applies the coupling coordination degree model to measure urban coordination levels. It employs the multiscale geographically weighted regression (MGWR) model to identify spatial non-stationarity and scale heterogeneity in the effects of digital factors. Furthermore, the unexplained residuals from the MGWR model are incorporated into a light gradient boosting machine (LightGBM) framework. Combined with SHapley Additive exPlanations (SHAP), this approach is used to uncover nonlinear contributions, threshold effects, and interaction mechanisms.
  Keywords: digital factors; technological innovation; high-quality development; coupling coordination degree; MGWR-LightGBM model.
  DOI: 10.1504/IJETM.2026.10080892
   
  

• Open Access

  Environmental sustainability education via integrated STEAM art curricula: evaluating entrepreneurial mindset development of art undergraduates ( Free Full-text Access )

  by Ling Cai, Wang Maoning 
  Abstract: This study explores the integration of cultural tourism and STEAM education in university art curricula, focusing on nurturing students entrepreneurial psychological qualities. A questionnaire survey of 299 art students was conducted to analyse changes in learning attitudes and entrepreneurial intentions under the STEAM framework. Results show that STEAM integration significantly enhances students artistic interest and knowledge mastery, with 70.2% of students demonstrating improved entrepreneurial awareness. Cultural tourism elements further strengthen creative motivation and practical abilities. The findings confirm that the combined model effectively bridges art education, cultural tourism, and entrepreneurship, providing an innovative pathway for interdisciplinary art education and talent cultivation in creative industries.
  Keywords: cultural tourism; STEAM education; art curriculum; entrepreneurial psychology; creative education; higher education; interdisciplinary learning.
  DOI: 10.1504/IJETM.2026.10081372
   
  

• Open Access

  Digital preservation and dissemination of performance-based intangible cultural heritage based on artificial intelligence and deep learning ( Free Full-text Access )

  by Chenggang Xiao, Rongqing Zhu, Weiwei Wu, Lei Yang 
  Abstract: This study explores the application of deep learning (DL) technology in artificial intelligence; it realises the digital protection and dissemination of ethnic intangible cultural heritage (ICH). Taking performance-based ICH as the entry point, a multi-category and diversified video dataset is constructed. Strict screening and professional annotation ensure the coverage of typical cultural expression forms and movement characteristics. On this basis, a DL-based model framework is proposed; thus, it can achieve automatic recognition, classification, and sequence modelling of dynamic ICH behaviours. Through model training and optimisation, the proposed method can effectively capture the spatiotemporal features of complex cultural actions, thereby realising high-precision recognition of performance-based ICH. This study improves the efficiency of digital processing of performance-based ICH; it also provides technical support for structured storage and intelligent dissemination of ICH resources. Thus, this is of certain significance to promoting digital protection and global dissemination of ICH.
  Keywords: artificial intelligence; deep learning; intangible cultural heritage; ICH; digital protection; cultural dissemination.
  DOI: 10.1504/IJETM.2026.10081373
   
  

• Open Access

  AI-driven quantitative research on narrative patterns of traditional disaster-averting literature ( Free Full-text Access )

  by Jiaying Li, Xiaolin Qin 
  Abstract: Traditional narratological research on disaster-averting folk literature relies on subjective qualitative analysis, lacking quantitative methods to decode ritual structures and narrative logic. This study establishes a computational framework combining an improved Proppian annotation system and deep learning models. We adopt BERT-BiLSTM-CRF for narrative element recognition, and utilise Node2Vec graph embedding together with K-means clustering to mine latent narrative patterns. Stage-based sentiment calculation is also introduced to analyse emotional dynamics across texts. Experiments on a corpus of 2,850 folk literary works show that the element recognition model achieves an F1 score of 85.7%. Significant regional differences in narrative distributions are verified via statistical tests. This work provides an objective, reproducible quantitative tool for folk literature research, and offers new insights for digital inheritance and cross-cultural comparative studies of traditional cultural heritage.
  Keywords: disaster-averting literature; ritual narrative; deep learning; graph embedding; clustering analysis.
  DOI: 10.1504/IJETM.2026.10081421
   
  

• Open Access

  Sustainable talent cultivation mechanism of eco-cultural industry: symbiotic coupling research on university music teaching and entrepreneurship education ( Free Full-text Access )

  by Zengji Ren 
  Abstract: This study explores the symbiotic integration of innovation and entrepreneurship education (IEE) with university music teaching, incorporating cultural tourism as a core application scenario. Using symbiosis theory and the triple helix model, it constructs an internal-external integration framework and employs questionnaires and the Analytic Hierarchy Process (AHP) to analyze 260+ music teachers and students. Results reveal that practice platforms, teaching staff, and innovation atmosphere are key influencing factors. Most students hold entrepreneurial intentions, while only 10.32% of teachers teach IEE courses. Integrating cultural tourism elements significantly enhances students entrepreneurial awareness and artistic practical ability. The findings provide theoretical and practical references for reforming arts education, fostering entrepreneurial talents, and promoting the integration of art, education, and cultural tourism.
  Keywords: cultural tourism; music education; innovation and entrepreneurship education; IEE; symbiotic integration; triple helix theory; higher arts education; analytic hierarchy process; AHP.
  DOI: 10.1504/IJETM.2026.10081422
   
  

• Open Access

  Intelligent green audit framework integrating deep learning and anomaly detection for photovoltaic industry sustainability ( Free Full-text Access )

  by Xueru Fan, Zixuan Wang 
  Abstract: Traditional environmental auditing in the photovoltaic industry relies heavily on manual sampling and static indicators, making it difficult to effectively process the high-dimensional and large-scale internet of things (IoT) data generated during manufacturing processes. To address this limitation, this study proposes a machine learning-driven green auditing (ML-GA) framework. The framework adopts a novel hybrid fusion architecture. In this architecture, temporal prediction residuals generated by a long short-term memory (LSTM) network equipped with an attention mechanism are extracted as dynamic input features and subsequently transmitted to an unsupervised isolation forest anomaly detector. In addition, the model exhibits outstanding robustness and security, maintaining a prediction accuracy of 88.7% even when subjected to white-box adversarial attacks. By transforming green auditing from a passive ex-post compliance inspection mechanism into a proactive real-time risk intervention system, this framework makes a significant contribution to the advancement of environmental governance.
  Keywords: machine learning; green auditing; photovoltaic industry; green innovation; anomaly detection; internet of things; IoT.
  DOI: 10.1504/IJETM.2026.10081536
   
  

Regular Issues

• Assessment of plant community configuration in plateau wetland parks using AHP-FCE: a case study of Erhai Lake, China  
  by Xiongkun Nie, Zhang Li, Xia Yu, Yiran Luo 
  Abstract: Plateau wetland parks serve critical ecological and recreational roles, but systematic frameworks for evaluating their plant community configurations remain lacking. This study used an integrated analytic hierarchy process-fuzzy comprehensive evaluation (AHP-FCE) framework on four parks around Erhai Lake, Yunnan Province: Haishe, Erhai Moon, Haidong and Xiahewan. Fourteen indicators grouped into ecological, aesthetic and service functions were developed by ten domain experts through a two-round Delphi study. The evaluation assigned different weights for expert and tourist inputs. Field surveys revealed stark differences in species richness between western (Haishe and Erhai Moon) and eastern (Xiahewan and Haidong) parks. Composite scores placed Erhai Moon (75.05) first, then Haishe (73.08), Xiahewan (55.94) and Haidong (32.59). Robustness was validated with criterion-weight sensitivity analysis, bootstrap resampling and user-generated content (UGC)-based Spearman rank correlation. Ecological function primarily determined park quality, while service function was the weakest of the three. The study proposes targeted plant community optimisation for each park, including improvements in species diversity, structure, and educational infrastructure. The findings offer a replicable evaluation system and evidence-based management advice for the restoration of plateau wetland parks.
  Keywords: plateau wetland; wetland parks; plant community configuration; analytic hierarchy process-fuzzy comprehensive evaluation; AHP-FCE; Delphi method; Erhai Lake; China.
  DOI: 10.1504/IJETM.2026.10080270