Level Of Attention Research Articles

Assessment of early attention in an Italian cohort of preschooler preterm children using the Early Childhood Attention Battery.

This cross-sectional monocentric study aims to utilize the Early Childhood Attention Battery to investigate early attention patterns in young preterm children and ascertain the extent to which their attentional abilities diverge from those of term peers. Inclusion criteria encompassed gestational age < 34 weeks, with assessments conducted between 3 and 5 years 11 months. Exclusion criteria included major brain lesions, significant motor or behavioral disorders, and intellectual functioning with IQ < 70. Preterm raw scores converted to scaled scores and percentiles. Frequency analysis compared preterm scores to norms. Non-parametric tests assessed significance between scaled scores and subgroups (age, gestational age, sex, birth weight). One hundred nineteen preterm patients were enrolled in the study between November 2016 and June 2023. Comparisons with published norms showed lower mean scores across all subtests and domains for preterm children. A notable proportion of assessments (13-40%) fell below the 5th percentile, with the dual task item in sustained attention being the highest (40%). Sex did not predict differences, except for auditory sustained and visual search subtests. Gestational age did not correlate with abnormal scores, consistent with previous studies. The prevalence of assessments below the 5th percentile highlights preterm children's vulnerability to attention issues. The test's sensitivity to attention deficits in preterm populations suggests its potential in identifying at-risk children early for tailored interventions. The battery effectively detects attentional deficits in preterm children. Early detection and targeted insights support tailored educational interventions. By focusing on specific attention skills, the battery guides clinicians in choosing individualized or group activities based on areas most affected. • Attention is often impaired in preterm children but it is not systematically investigated before school age. The ECAB is a tool specifically designed for preschool children. • Using the ECAB we evidenced a different level of attention between pre-term and term-born children at preschool age.

Predictors of Methylphenidate response in children and adolescents with ADHD: the role of sleep disturbances.

Sleep Disturbances (SD) have been linked to children and adolescents with ADHD, impacting its progression and outcomes. Methylphenidate (MPH), a commonly used stimulant medication for ADHD treatment, has been observed to potentially influence SD as a side effect, while SD can in turn potentially affect the response to MPH. This study aimed to explore the potential role of SD on MPH response in children and adolescents with ADHD. At this aim, 43 children and adolescents with ADHD received a single dose of MPH and were assessed for attention before and after medication administration. As expected, the administration of MPH resulted in improved attention levels. Our data indicate that patients with higher SD experienced greater benefits from the medication, stabilizing Reaction Times Variability (VRTs). This suggests that SD might influence the response to MPH, with individuals exhibiting higher SD deriving more advantages from the treatment. In addition, we found that other factors, such as externalizing problems and IQ, interact with each other and with SD, influencing the response to stimulant medication. Early detection of SD, along with the study of cognitive and emotional-behavioral characteristics, could assist clinicians in predicting the effectiveness of MPH therapy in children and adolescents with ADHD. However, further research is necessary to gain a deeper understanding of the role of SD and other factors in the long-term effects of MPH.

Gaze-based detection of mind wandering during audio-guided panorama viewing.

Unlike classic audio guides, intelligent audio guides can detect users' level of attention and help them regain focus. In this paper, we investigate the detection of mind wandering (MW) from eye movements in a use case with a long focus distance. We present a novel MW annotation method for combined audio-visual stimuli and collect annotated MW data for the use case of audio-guided city panorama viewing. In two studies, MW classifiers are trained and validated, which are able to successfully detect MW in a 1-s time window. In study 1 (n = 27), MW classifiers from gaze features with and without eye vergence are trained (area under the curve of at least 0.80). We then re-validate the classifier with unseen data (study 2, n = 31) that are annotated using a memory task and find a positive correlation (repeated measure correlation = 0.49, p < 0.001) between incorrect quiz answering and the percentage of time users spent mind wandering. Overall, this paper contributes significant new knowledge on the detection of MW from gaze for use cases with audio-visual stimuli.

Advancements in halide perovskite photonics

Halide perovskites have emerged as a new class of materials for photoelectric conversion, attracting an ever-increasing level of attention within the scientific community. These materials are characterized by expansive compositional choices, ease of synthesis, an impressively high light absorption coefficient, and extended carrier recombination lifetimes. These attributes make halide perovskites an ideal candidate for future optoelectronic and photonic applications, including solar energy conversion, photodetection, electroluminescence, coherent light generation, and nonlinear optical interactions. In this review, we first introduce fundamental concepts of perovskites and categorize perovskite photonic devices by the nature of their fundamental mechanisms, i.e., photon-to-electron conversion devices, electron-to-photon conversion devices, and photon-to-photon devices. We then review the significant progress in each type of perovskite device, focusing on working principles and device performances. Finally, future challenges and outlook in halide perovskite photonics will be provided.

TEL Pedagogies: Gamification – Grammar Guru

The Centre for English Communication (CEC) developed and launched Grammar Guru (GG), a browser-based game application, as part of Singapore Management University’s (SMU) TEL initiative in 2023. GG is used as part of CEC’s blended learning resources, which complements our core curriculum module for undergraduates, Writing &amp; Reasoning (WR). GG is an upgraded iteration of Power Grammar 1.0, a basic grammar game developed by students several years ago. GG is an effective TEL tool for teaching grammar as it uses gamification to make learning engaging and caters to the needs of learners with different language proficiency levels. GG improves student engagement through gamification. Gamification is the application of game design, techniques and elements in non-game contexts and activities (Deterding et al., 2011, p. 1). Research shows gamification is highly effective in increasing student engagement, attention, motivation, creativity, digital literacy and performance level (Barua &amp; Bharali, 2023; Fernandez-Antolin et al. 2021; Skritsovali, 2023). GG includes elements such as points, leaderboards, hints, and non-playable characters (NPC) to teach grammar in a professional, corporate context. By contextualizing grammatical and linguistic forms in sentences and paragraphs, GG helps students achieve greater competence and fluency in their English language abilities. The gamification elements make learning more interactive and enjoyable which improves students’ knowledge retention and application. A primary quantitative study conducted by CEC established that “the positive correlation observed suggests that the higher level a student played, the higher the student’s English language proficiency”. CEC is currently conducting a qualitative study to gather students’ feedback. GG also addresses the requirements of learners with diverse language proficiency levels by varying the difficulty of questions. These questions include sentence and text correction, matching, re-arrangement, true/false, fill-in-the-blanks and multiple-choice questions. Players work their way through eight levels that comprises Junior and Senior Intern, Junior and Senior Management Trainee, Junior and Senior Middle Management and Junior and Senior Director. Perez (2020) and Langendah (2016) highlight how certain game elements such as storytelling, challenges, progression, and feedback can boost student drive and learning. The gamification elements in GG have a similar effect, motivating learners of different proficiency levels. GG’s interface is designed to be simple and intuitive. Regardless of students’ socioeconomic background or gaming aptitude, they would be able to navigate it effectively. One challenge GG faces is striking a balance between entertainment and education. Limited game development funds result in limited game design features and less engaging gameplay for students, especially in comparison to commercial games with substantial budgets that offer high entertainment value through advanced graphics and intricate storylines. Furthermore, as CEC instructors are not game design experts, we have limited knowledge that restricts our capacity in designing and maintaining GG. Currently, CEC outsources game design and maintenance to a third parties. This results in instructors not being able to directly make changes to the game questions and content. Moreover, the process of retrieving relevant data for analysis is tedious and time consuming. Despite these constraints, thoughtful and strategic approaches can create valuable TEL resources that improve student learning.

Health Effects Of Using Visual Display Terminal

Screen devices are widely used office tools around the world. We are also known as Visual Display Terminal (VDTs). The use of VDT causes health hazards due to the need for high levels of attention and concentration and constant sitting work. Musculoskeletal disorders such as back pain, upper extremity disorders, eye problems, fatigue, and stress are common in VDT users. The computer is a frequently used display device, and computer vision syndrome (CVS) has emerged as a leading occupational health problem. Symptoms of CVS include dry eye, eye fatigue, blurred vision, double vision, redness in the eyes, burning and stinging sensation in the eyes, increase or decrease in tears, double vision, delay in changing focus and color perception irregularities, and deterioration in near vision. Risks arising from screened vehicles can be avoided in healthy and safe working conditions where the work center is set up correctly and breaks are taken at regular intervals. Simple measures such as exercising regularly, taking short frequent breaks, and using a screen filter are important simple interventions to prevent work-related diseases in VDT users. Since VDT use is a frequent part of our lives, we wanted to draw attention to VDT-related disorders and provide simple interventions to prevent them.

The Influence of Urban New Energy Development Orientation on New Energy Technology Innovation in Firms

Unlike existing energy policies that adopt a macro-level perspective, this paper examines the impact of China’s new energy demonstration cities (NEDC) policy on micro-agents. Using longitudinal data covering Chinese publicly listed firms in new energy industries, the empirical results show that the NEDC policy significantly increases firm’s new energy patents in pilot cities compared to those in non-pilot cities. We examine the potential channels via industrial upgrading effect, relative scale effect, direct incentive effect, and factor aggregation effect. In addition, we find that the NEDC policy performs better in areas with more governmental new energy attention and higher infrastructure levels, and state-owned businesses are more proactive.

Supporting the care to breast cancer patients with unique needs: Evidence from online community members’ responses

BackgroundBreast cancer is the most common cancer diagnosed in women globally. Online cancer communities (OCCs) provide platforms for breast cancer patients to connect, share experiences, and support each other. These communities facilitate discussions on a range of health- and non-health-related topics. However, posts discussing unique topics may receive varying levels of attention and support. This study aims to devise a method for identifying and supporting such posts, enhancing community response and support strategies. MethodsWe propose a Uniqueness Score Extraction Framework to compute health- and non-health-related uniqueness scores for online community posts. The framework utilizes deep learning-based natural language processing models to identify the topics discussed in OCCs and calculates the health- and non-health-related uniqueness scores of a post based on the uniqueness of the topics identified by the BERTopic model. We further employ econometric models to assess how the uniqueness scores of posts affect community members’ responses to those posts. ResultsOur study reveals that posts with a higher concentration of unique health-related topics in OCCs elicit quicker, more frequent, but shorter responses. Conversely, posts containing more unique non-health-related topics in the entire post prompt faster and longer responses, unless these topics become overly dominant, in which case the number of replies decreases, and response times are prolonged. ConclusionOur research develops a framework to identify posts with high uniqueness scores in OCCs, and sheds light on community member responses to these discussions. The findings indicate that while members are supportive, particularly regarding health-related topics, the post-content’s nature and focus greatly affect their engagement. These discoveries could enhance our understanding of community dynamics in OCCs, offering valuable implications for researchers, OCC facilitators, and medical professionals in supporting patients within online platforms.

Growing Attention

We model a boundedly rational agent who exhibits limited and heterogeneous attention. The agents' attention can be naturally sorted in an ascending order. We provide a characterization result using two simple behavioral postulates. Unlike earlier models, consideration sets' composition and frequency are uniquely identified. Within our framework, we accommodate unobserved heterogeneity in attention and unobserved preferences. Furthermore, we explore various extensions of our model and provide insights into the comparative statics of attentiveness levels in two probabilistic choices.

Effectiveness of learning human anatomy using three-dimensional augmented reality application

Augmented Reality (AR) is a technology that augments reality with two- or three-dimensional computer-generated imagery (CGI), objects, or information, and allows users to interact efficiently. The aim of this study was to measure the effectiveness of Augmented Reality (AR) application in teaching Human Body anatomy and determine the attention and confidence level which contributes to learning motivation among sports school students before and after using a particular AR application online, hybrid and face to face teaching. This pre-post experimental study conducted among 32 sports school students in Bukit Jalil Sports School who registered for human anatomy subject. A written test was conducted on the topic of human body anatomy after teaching using the traditional method. Then the same group of pupils learned human body anatomy using Augmented Reality application. A post-test was conducted to evaluate the understanding and achievement. The pair sample t-test was used to determine the effectiveness between both methods. The subjects also answered a five scale Likert questionnaire to determine the attention, confidence and motivation level in learning through AR application. The paired sample t-test showed significant differences between pre- and post-test, with t(31) = −7.44, p = 0.00 (p &lt; 0.05). This showed that learning through the Augmented Reality application is much easier and more efficient compared to the traditional method using textbooks, pictures, and diagrams. The descriptive analysis showed the mean score of attention (4.31), confidence (3.98) and motivation (4.13) are high. Results demonstrated positive significant correlation between the mean score of attention (r = 0.75), and confidence (r = 0.73) toward motivation (r = 0.84) (p &lt; 0.001). These findings showed high levels of attention, self-confidence, and motivation among sports school students while learning using augmented reality compared to learning through the traditional method. In conclusion this study proved that AR application can increase motivation in the learning process and enhance academic performance in Human Anatomy and also other subjects.

Directionality and Individual Differences in Consecutive Interpreting

This study aims to examine the students’ consecutive interpreting in English and Turkish. This study was carried out with 32 senior students who are native Turkish speakers at the Department of English Translation and Interpreting. The students were required to render the speeches chosen from the EU Speech Repository, a speech bank for interpreting studies, in the En-Tr and Tr-En directions, respectively. The students were audio-recorded. In addition, students’ working memory (WM) capacities were determined by conducting digit span and word span tests, and attention levels were determined by conducting monolingual and bilingual Stroop test. The data was assessed with the overall assessment score of consecutive interpreting performance, total duration, pauses, linguistic errors, participants’ individual differences (WM and attention level), and directionality. The recordings were transcribed and assessed by two experts. A detailed error analysis was performed using MAXQDA Analytics Pro Academic. Students with higher WM levels also have better performance in the En-Tr direction, yet this is not observed in the Tr-En. This can be explained by the fact that students have more difficulty and spend more time interpreting to L2 due to their language proficiency in translation (such as lack of vocabulary, difficulties related to structure, etc.). There was no significant relationship between students' attention skills and interpreting performance. Differences were also observed in the errors and strategies used by students depending on directionality. It is expected that this study will contribute to understanding the consecutive interpreting process, revealing the main difficulties, and thereby contributing to interpreter training.

Investigation of the playing digital games on shoulder flexibility, muscle strength and reaction speed in volleyball players

Esports is a natural extension of digital games. Digital games provide a platform for players to showcase their skills, thereby forming the foundation of e-sports. These two domains continuously support each other, demonstrating significant growth in popularity and establishing a solid presence in the competitive landscape. Digital games require high levels of attention, strategy, reflexes, and coordination, offering pathways to reach the pinnacle of competition. The benefits derived from digital games enhance the ability to perform effectively under stress, making them crucial for both physical and mental performance. This study investigates the effects of digital gaming on the physical performance, shoulder flexibility, muscle strength and reaction speed of female volleyball players. A total of 50 female volleyball players took part, who were divided into two groups based on their digital playing habits: Group 1 consisted of female players who played video games for at least 4 h per day in the last 6 months, while Group 2 included those who played &amp;lt;4 h per day. In the study, the Activ5© Handheld Digital Dynamometer was used to measure the strength of the shoulder muscles during various movements, including flexion, hyperextension, abduction, internal rotation and external rotation. In addition, the BlazePod™ trainer device was used to assess reaction times. The results showed that volleyball players who frequently played digitally showed significant improvements in shoulder flexibility, especially in flexion of the non-dominant side. In addition, these players showed faster reaction times than those who played less frequently. However, a significant decrease in hyperextension muscle strength was observed in the group that frequently played digital games. The study highlights that while digital games can improve certain physical skills such as reaction speed and shoulder flexibility, they can also contribute to muscular imbalances or a decrease in muscle strength in certain areas. These findings suggest potential benefits for volleyball players, particularly in movements that require quick reflexes and flexibility, such as serving and spiking. However, the results also raise concerns about potential negative effects on muscle strength and posture, highlighting the need for balanced training programs to mitigate these effects. Further research is needed to investigate the long-term effects of digital games on athletic performance and physical health.

Emotional Intelligence Profiles among Lesbians, Gays and Bisexuals (LGB) People: Their Influence on Mental Health, Life Satisfaction, Self-esteem and the Development of Sexual Identity

Abstract Introduction Many studies have focused recently on the negative impact of homophobia or biphobia, seeking to identify protective factors for the LGB (lesbian, gay, and bisexual) community. Methods The present study aims to identify emotional intelligence (EI) profiles among a sample of 1215 LGB people in order to determine whether significant differences exist between them in terms of mental health, life satisfaction, self-esteem, and the development of sexual identity. To analyse the differential effect of EI on the variables, four cluster profiles were defined by combining the three dimensions of EI (attention, clarity, and repair). The first profile had low levels in all three dimensions; the second had high attention and low repair; the third had high general EI and the fourth had low attention and high repair. Results Significant differences were observed among profiles (p &lt; .001; η2 = 0.126). Those with high EI indexes reported less anxiety and depression and had better levels of self-esteem, life satisfaction and acceptance of their non-normative sexual identity. Those with low rates in all areas of EI or high levels of attention were at risk of developing psycho-emotional problems. Discussion We can conclude that different EI profiles exist among LGB community and that these profiles influence mental health, life satisfaction and self-esteem outcomes and identity development in different ways. Policy Implications The findings reported here have practical policy implications for psychoeducational proposals and interventions aimed at improving the experiences of LGB people, particularly in terms of promoting individual characteristics that can help them cope with systematic oppression, such as emotion repair.

Ethical Dilemmas in Home Palliative Care

Abstract Background In the past two decades, there has been a noticeable shift towards home-based care, reflecting the broader trend among OECD countries to prioritize a comprehensive approach to health and well-being. This approach emphasizes preventive and proactive measures, often relying on home-based care delivered by multidisciplinary teams providing both curative and palliative care. However, the unique nature of providing care in a home environment raises ethical questions among healthcare providers, necessitating high levels of attentiveness and sensitivity from the caregiving team to address them effectively. Research Objectives This study aims to identify ethical challenges encountered by a multidisciplinary team, as perceived by managers of an organization offering home palliative services in Israel. Methods A qualitative study was conducted, involving interviews with nine key managers to explore prevalent ethical issues in delivering home-based care. Findings Thematic analysis unveiled common ethical dilemmas in providing Home Palliative Care. These dilemmas include balancing patient preferences with professional obligations, addressing the needs of both patients and their families, navigating caregiver-patient relationships, understanding patients’ cultural backgrounds, and advocating for home care as the preferred option while considering alternative treatment approaches. Conclusions Home palliative care poses ethical dilemmas for caregiving teams. It’s imperative for organizations in the home care sector to devise strategies aimed at assisting teams in navigating these challenges while upholding the autonomy and dignity of patients within their home environment. Key messages • Home-based care faces ethical challenges, requiring strategies to balance patient preferences and professional duties. • Ethical home hospice care needs strategies that respect patient autonomy and dignity.

The tone of earnings communication conferences and trade credit financing of listed companies

Earnings communication conference serves as a key channel for information disclosure in China, providing incremental information to the capital market. Using data from Chinese A-share listed firms from 2007 to 2021, this research reveals that management's tone at the earnings communication conference significantly promotes trade credit financing. Mechanism tests suggest that management's tone facilitates trade credit financing by enhancing information transparency. Further analyses demonstrate that the aforementioned effect is more pronounced for firms facing higher market competition and supplier concentration while lower level of attention from analysts.

Coordinating public and government responses to air pollution exposure: A multi-source data fusion approach

Aligning public demand with government supply of clean air aids in efficient air pollution control and enhancement of public happiness. However, comparative empirical analyses of public and government attention to air quality changes are still sparse due to data and methodological constraints. Here, we adopt multi-source data fusion approaches to assess the impacts of air pollution exposure on public and government attention. Specifically, remote and social sensing data, alongside keywords extracted from textual data, are utilized to quantify air pollution exposure and corresponding public and government attention levels in 273 Chinese cities from 2011 to 2019, and a two-stage least squares regression model is employed to tackle reverse causality issues underlying the exposure-response relationship. Our findings reveal that, on average, a unit increase in PM2.5 levels would result in a 17.7% growth in public attention and a 12.7% rise in government attention, respectively, suggesting that demand-driven public attention tends to be more sensitive to air quality changes than policy-driven government attention. Results for the spatial-temporal heterogeneity further demonstrate that public attention varies across time and space, whereas government attention remains relatively consistent. Additionally, we have identified 116 cities exhibiting disparities between the public and government responses to air quality changes, calling for environmental policy refinements to better serve the needs of residents. This study emphasizes the necessity of public engagement in environmental governance and offers rich policy implications for air pollution control in China.

Research on the Interactive Effects of Parenting Advertising Under the Sustainable Development Goals (SDGS)

Objective: The objective of this study is to investigate the different effects of advertising interactive experiences, and explore effective advertising interactive methods, to provide effective parenting advertising training for abusive parents. Theoretical Framework: Refers to the multi-sensory advertising interaction model based on the studies before, such as the AIEDA tourism advertising effects model, schema congruence theory, and a spiral brand experience concept. Method: This study conducted the distinct "Systematic Literature Review Synthesis Process", a stand-alone literature review typology that helps make sense of a chosen body of current literature and helps determine the theoretical framework at the early stages of research ideation. Results and Discussion: The results revealed that visual, auditory, and multi-sensory interactions all have different elements and characteristics and could cause different levels of attention, memory, and emotions for audiences. Research Implications: The results are expected to guide the development of a theoretical framework for combining advertising and user experience interaction. Originality/Value: The research helps to identify interactive sensory experience characteristics in advertisements, guide the effective dissemination of parenting public service advertisements, and create a happier family atmosphere for children, to promote SDG 3 on ensuring healthy lifestyles and promoting the well-being of people of all ages.

Attitudes and preferences of the Chinese public towards products made from recycled materials: A text mining approach

Products made from recycled materials, as an environmentally friendly option, have attracted public attention. Understanding public attitudes and preferences towards such products is crucial for their market development. In order to explore the Chinese residents’ attitude and emotional tendency, we analyzed public discussions and topics on products made from recycled materials from Sina Weibo. Meanwhile, LDA and BERT deep learning models were employed to assess the level of public attention, hot topics, and sentiment tendencies in China. Results show a significant upward trend in public interest in products made from recycled materials. Although the fact that most people have a positive attitude towards the environmental concept of products made from recycled materials and support such products, there is not a significant demand for products made from recycled materials, i.e., there is a green attitude-behaviour gap. Results further reveal that factors such as the price of products made from recycled materials, branding, and public skepticism about the sustainability of the products are the main reasons for the gap between environmental awareness and consumer behaviour. By analyzing the public's cognitive structure and psychological characteristics regarding products made from recycled materials through social media data, this paper can help recycling manufacturers understand consumers' needs and expectations, as well as assist policymakers in formulating better circular economy policies.

Development of Virtual Reality-Based Left Brain System

This paper proposes a virtual reality based Left Brain System named BrainUp World to improve left brain thinking. The left-brain system was employed with mobile virtual reality technology, hand motion tracking and haptic feedback system. The implementation of these systems is to enhance the experience and sense of embodiment. BrainUp World includes virtual reality-based brain training games to improve a person’s attention level, reasoning skill, auditory cognition, arithmetic skill, sequencing skill and memory. The hand tracking system was utilized with an IR camera to capture the hand orientation and return the gesture data to the VR application. A low-cost and lightweight haptic glove was invented which provides the sense of touch using vibrations while interacting with VR contents. An experimental study was conducted to assess the efficacy of BrainUp World compared to traditional PC-based training approaches. Participants were randomly assigned to either the VR-based or PC-based training group and underwent 6 different games to test a person’s attention level, reasoning skill, auditory cognition, arithmetic skill, sequencing skill, and memory. The results revealed a statistically significant improvement in left brain function in the VR-based training group compared to the PC-based group, with a T-score growth of 4.73. Analysis using ANOVA confirmed the significance of this difference (p-Value = 0.04). Notably, the study also identified age-related differences in thinking fluency, highlighting the importance of personalized cognitive training interventions. In conclusion, BrainUp World demonstrates the potential of VR technology in promoting left brain development, as evidenced by empirical findings from the conducted study. By offering immersive and interactive cognitive training experiences, VR-based systems hold promise for enhancing various aspects of cognitive function associated with left hemisphere dominance. Further research in this area is encouraged to explore the full potential of VR-based interventions for cognitive enhancement.

The Levels of Government Environmental Attention and Enterprises’ Green Technological Innovation

This study utilizes data from listed companies on the Shanghai and Shenzhen stock exchanges from 2010 to 2023 and employs text analysis methods to investigate the impact of government environmental concerns on corporate green technology innovation and its underlying impact mechanisms. The empirical findings demonstrate that heightened government environmental concerns significantly foster corporate green technology innovation. This relationship remains robust across a series of sensitivity analyses. The impact mechanism analysis reveals that increased government environmental concern leads to a heightened intensity of environmental regulation, drives the intelligent transformation of enterprises, and enhances the implementation of corporate environmental strategies, collectively contributing to the improvement of corporate green technology innovation capabilities. Furthermore, the heterogeneity analysis indicates that the effect of government environmental concerns is more pronounced in state-owned enterprises, mature enterprises, and industries with lower pollution levels. This study underscores that the government’s intensified focus on environmental issues can effectively promote corporate green technology innovation, thereby promoting sustainable economic and social development and supporting the dual goals of environmental protection and economic growth.