Long-term Development Research Articles

The impact of R&D factors flow and regional absorptive capacity on China’s economic growth: Theory and evidence

Innovation is the source of economic growth. Innovation in a region comes from its own knowledge creation and knowledge spillovers from other regions. Previous studies showed that R&D factors flow benefits knowledge spillover, thereby promoting economic growth. But these studies ignored the impact of a region’s knowledge-absorptive capacity on knowledge spillovers. Ignoring the impact of regional absorptive capacity means that the knowledge spillover from the same R&D factors flow is the same, clearly inconsistent with reality. This thesis analyzes the impact of R&D factors flow on economic growth and explores the moderating effect of regional absorptive capacity on the relationship between R&D factors flow and economic growth from theoretical and empirical perspectives. First, we construct a knowledge creation and diffusion model of the new economic geography, including regional absorptive capacity, and analyze the theoretical logic of the flow of R&D factors and regional absorptive capacity influencing economic growth. Second, we employ spatial econometric models to examine the impact of R&D factors flow and regional absorptive capacity on economic growth, utilizing panel data of 30 provinces in China from 2008 to 2021. The results demonstrated a spatial positive correlation between regional economic growth in China. The R&D factors flow could have significantly promoted not just a region’s direct economic growth, but also the economic growth of surrounding regions via spatial spillover effects. Furthermore, the stronger the regional absorptive capacity, the greater the direct effects and spatial spillover effects of the R&D factors flow on economic growth. The novelty of this article is to introduce regional absorptive capacity into the theoretical model, refine the methodology for assessing regional absorptive capacity in empirical research, and examine its moderating effect between the inflow of R&D factors and regional economic growth. This article reveals that the positive impact of the inflow of R&D factors on spatial spillovers and economic growth varies depending on regional absorptive capacity. According to the conclusions above, enhancing regional absorptive capacity is equally important as facilitating the flow of R&D factors. Therefore, it is vital for a region to strengthen its absorptive capacity for new knowledge while promoting R&D factors flow. The study provides valuable policy insights for accelerating the flow of innovation factors, enhancing regional absorptive capacity, and consequently promoting long-term sustainable economic development in the region.

Literature review on optimization of transboundary water for irrigation

ABSTRACT Transboundary water resources are essential for agricultural sustainability and regional development, and they are intrinsically linked to achieving the United Nations' SDGs and the water-food-energy nexus (WFE-NEXUS) concept. Despite challenges such as conflicting allocation and climate change impacts, effective transboundary water management for irrigation is crucial to meeting the SDGs of eradicating hunger, providing clean water and sanitation, offering affordable and sustainable energy, and taking climate action. This work synthesizes approaches to transboundary water for irrigation optimization, highlighting the significance of a holistic plan that considers both technical and social factors. Remote-sensing technologies, data forecasting, hydrology and hydraulic modelling, and water resource modelling all contribute to maximize water allocation and policy creation, particularly when paired with collaborative government features. This integrated approach to transboundary water for irrigation optimization fosters long-term development by improving livelihoods, resilience, and inclusive growth through efficient resource management.

Evaluating Patient Rights and Agency: An In-depth Examination of Autonomous Decision-Making in AI-Powered Telemedicine

This study examines the adequacy of regulations concerning consent and patient autonomy in AI telemedicine in Ghana. Using the IRAC (Issue, Rule, Analysis, and Conclusion) method, the research analyzes existing Ghanaian healthcare laws and regulations in the context of AI-driven telemedicine. The study finds significant gaps in the current regulatory framework, including a lack of specific provisions for informed consent in AI telemedicine, unclear guidelines on maintaining patient autonomy, and inadequate addressing of liability issues in AI-assisted healthcare. Recommendations include developing specific AI healthcare legislation, updating existing laws to incorporate AI and telemedicine considerations, establishing AI ethics committees, and implementing short-term mitigation strategies such as interpretive guidelines and enhanced disclosure protocols. The study emphasizes the need for a two-pronged approach: long-term regulatory development and immediate implementation of interim measures to protect patient rights and ensure ethical use of AI in telemedicine.

Exploring the Interplay Between Self-Confidence and Emotional Intelligence in College-Level Educators: Implications for Teaching Effectiveness and Student Engagement

This study explores the relationship between self-confidence and emotional intelligence in college-level educators and examines their combined impact on teaching effectiveness and student engagement. As modern educational demands evolve, educators are increasingly recognized for their role in not only delivering content but also in fostering an inclusive, emotionally supportive learning environment. Self-confidence enables educators to present material with clarity, maintain authority, and adapt to diverse classroom challenges, while emotional intelligence equips them with empathy, self-awareness, and social skills essential for connecting with students on a personal level. The interplay of these traits contributes to a balanced teaching approach that supports both academic and emotional needs in students, thereby promoting active engagement, participation, and a positive classroom climate. This study utilizes a mixed-methods approach, combining quantitative self assessments and qualitative interviews to capture the nuanced ways in which self-confidence and emotional intelligence interact and influence teaching dynamics. Findings indicate that educators who possess both high self-confidence and emotional intelligence create classrooms that encourage open communication, foster psychological safety, and inspire student motivation. However, several limitations are noted, including the subjective nature of self-reported data and the influence of cultural and contextual factors on perceptions of confidence and emotional intelligence. Additionally, the study's cross-sectional design limits insights into the long-term development of these traits in educators. Despite these limitations, the study underscores the critical role of emotional and interpersonal skills in effective teaching, suggesting that professional development programs should integrate training in self-confidence and emotional intelligence to enhance educators’ overall impact. These findings contribute to a growing body of literature advocating for a holistic approach to educator preparation, one that values emotional acumen and self-assuredness alongside academic expertise. By emphasizing the importance of these traits, institutions can better support educators in creating enriching, engaging, and resilient learning environments that prepare students for both academic success and personal growth.

The impact of skin-to-skin contact upon stress in preterm infants in a neonatal intensive care unit

IntroductionNeonatal stress significantly affects the early adaptation, maturation and long-term development of preterm infants.The objective of the studyTo investigate the effect of skin-to-skin contact (SSC) on stress level in preterm infants.Materials and methodsThe research was a prospective study. Stress indicators (cortisol, melatonin) were measured before the SSC began (pre-intervention level) and after this intervention (post-intervention).ResultsThe study included 150 preterm infants in the NICU with gestational age (GA) ≤36 weeks. Pre-intervention salivary cortisol level was higher in extremely and very preterm neonates compared to moderate and late preterm newborns (p = 0.028), in children with low Apgar scores (p = 0.041), in those who were on mechanical ventilation (p = 0.005), and suffered neonatal sepsis (p = 0.005). Pre-intervention melatonin level was lower in children with low Apgar scores (p = 0.032). Salivary cortisol levels were significantly decreased after SSC in preterm infants [pre-intervention: 0.294 (0.111; 0.854) μg/dL vs. post-intervention: 0.127 (0.070; 0.229) μg/dL, p < 0.001], and urinary melatonin levels were significantly increased after SSC [pre-intervention: 4.01 (2.48; 6.34) ng/mL vs. post-intervention: 5.48 (3.39; 9.17) ng/mL, p < 0.001]. A greater reduction in cortisol levels after skin-to-skin contact was revealed in infants with a lower gestational age (p = 0.022), in boys compared to girls (p = 0.012), in infants with respiratory distress syndrome (p = 0.048), in those who had mechanical ventilation compared to non-ventilated neonates (p = 0.008), and in infants with seizures (p = 0.036). The melatonin levels increased more intensively in infants with low Apgar scores (p = 0.002), and in those with late-onset sepsis (p = 0.006).ConclusionThe reduction in cortisol levels and the increase in melatonin levels provided strong evidence that SSC ameliorated the NICU-related stress in preterm infants. We found higher indicators of stress and more dramatic responses to SSC in reducing indicators of stress in infants with lower GA than in infants with higher GA, indicating that SSC may be even more important for lower GA infants. The infants who need SSC the most should not be denied the care they need to reduce the stress they experience from being born too soon and continuing their gestational development in the stressful environment of the NICU.

Hazardous Effects of Battery Waste and Role of the Battery Waste Management Rule 2022 in Enhancing Energy Efficiency

Replacing batteries in present world is challenging because they are extensively utilised in every facet of human existence. These batteries contain a variety of toxic heavy metals, including as cadmium, copper, lead, mercury, nickel, and zinc, all of which pose risks to human health and the environment. Improperly disposing of used batteries in landfills leads to the infiltration of toxic heavy metals and other dangerous compounds into the soil and water over time. India’s long-term development has significant challenges in both reducing CO2 emissions and meeting the energy demands of its large population. This has significantly bolstered the electric vehicle (EV) and renewable energy industries. Battery-based energy storage systems can enhance the management of operational and energy evacuation challenges associated with renewable energy. Consequently, the effective disposal of battery waste is more crucial than battery production. However, it is neglected often, specially in developing and impoverished nations. Three established methods exist for preventing and managing the issues arising from the inappropriate disposal of used batteries. The three R’s are: decrease, replenish, and reuse. This article initially analyses the health and environmental consequences of battery waste, and subsequently highlights the potential of new regulations on battery waste management to effectively handle huge amounts of battery waste and encourage energy conservation.

Detecting GNSS spoofing and Re-localization on UAV based on imagery matching

Abstract Due to rapid advancements in global navigation satellite system (GNSS), computer, and microelectronics technologies, there is a growing popularity and widespread promotion of high-performance, cost-effective intelligent UAVs across various applications. Recently, GNSS spoofing attacks have emerged as a significant obstacle hindering the long-term development of UAVs. UAVs rely heavily on unprotected GNSS signals for navigation, making them highly vulnerable to spoofing. This paper presents an algorithm that employs image matching for detecting GNSS spoofing and re-localization on UAVs using a deep learning methodology. This method functions autonomously solely reliance on camera and does not require alterations to the antenna configuration. Utilizing a camera-equipped UAV, we evaluate the likeness between real-time aerial photographs and satellite imagery by leveraging the position information provided by UAV. By identifying disparities between images taken by a spoofing affected drone and authentic ones, the spoofing can be identified using deep neural network models. Upon detecting spoofing, this paper presents a vision-based re-localization method for UAVs. Experimental results demonstrate an approximately 88.4% accuracy of our model in detecting GNSS spoofing attacks within 100 ms and 88% success rate of re-localization with the accuracy of less than 15 m. Our algorithm exclusively depends on publicly accessible satellite imagery, offering an intelligent and efficient approach for detecting UAV GNSS spoofing and re-localization in GNSS denied environment.

Exploring or Floundering in the Sex Industry? Understanding Sex Work as Job Explorations for Emerging Adult Sex Workers.

Based on in-depth interviews with 40 men involved in the Chinese sex industry, this study compared how engagement in sex work impacts, whether positively or negatively, the career development and transition to adulthood of middle-class and lower-class emerging adults. Most middle-class sex workers had concrete career goals outside of the sex industry and were on track to achieve those goals using their educational credentials and social and cultural capital. In contrast, most lower-class male sex workers relied on the lucrative nature of sex work to accumulate capital for their long-term goals, such as starting small businesses. Lower-class sex workers without career goals often spent their income on addictive habits, such as video games, and their engagement in sex work was not conducive to their long-term career development. Extending the literature on emerging adulthood to the context of sex work, I argue that for emerging adults who engage in sex work consciously with career goals, sex work could be viewed as a form of job exploration, while for those who engage in sex work without clear career goals, their engagement could be better described as floundering.

The Effects of Recovery Resilience on Self-management and Perceived Athleticism in Skiers

Skiing is booming in Northeastern China, and skiers from Jilin, Liaoning, and Heilongjiang provinces have achieved success in domestic and international events. With the increase in training intensity, the recovery resilience of skiers has gradually become a key factor affecting their competitive performance and long-term development. This paper takes registered skiers from three provinces as the research object to explore the impact of recovery resilience on self-management ability and cognitive athletic ability and focuses on analyzing how to improve athletes’ self-management ability and enhance their decision-making and concentration by balancing training and rest and regulating their psychological state. At the same time, this paper also proposes specific methods to optimize recovery flexibility, which can provide strong support for ski athletes to improve their competitive performance.

Retinal "sweet spot" for myopia treatment.

We studied which retinal area controls short-term axial eye shortening when human subjects were exposed to + 3.0D monocular defocus. A custom-built infrared eye tracker recorded the point of fixation while subjects watched a movie at a 2m distance. The eye tracker software accessed each individual movie frame in real-time and covered the points of fixation in the movie with a uniform grey patch. Four patches were programmed: (1) foveal patch (0-3 degrees), (2) annular patch (3-9deg), (3) foveal patch (0-3deg) combined with an annular patch (6-9deg), and (4) full-field patch where only 6-10deg were exposed to the defocus. Axial eye shortening was elicited similarly with full-field positive defocus and with the foveal patch, indicating that the fovea made only a minor contribution (-11 ± 12μm vs. -14 ± 17μm, respectively, n.s.). In contrast, patching a 3-9 degrees annular area or fovea together with an annular area of 6-9 degrees, completely suppressed the effect when compared with full-field defocus (+ 3 ± 1μm or -2 ± 13μm vs. -11 ± 12μm, respectively, p < 0.001). Finally, we found that the near-peripheral retina (6-10 degrees) is a "sweet spot" for positive defocus detection and alone can regulate eye growth control mechanism, and perhaps long-term refractive development (-9 ± 8μm vs. full-field: -11 ± 12μm, n.s.).

How does digital transformation affect corporate governance paradigms? A synthesis of the literature

At present, digital transformation has become a vital way for companies to achieve sustainable growth. This paper reviews the literature on the correlation between digital transformation and corporate governance paradigm, analyzes the specific impact mechanism of AI technology and big data technology in the field of corporate governance, and explores the influence effect of the most popular ChatGPT technology on corporate governance from the perspective of business practice. It is found that digital transformation has an important impact on stakeholder management, information disclosure, green governance and other aspects of corporate governance. The purpose of the study is to provide a new reference for the construction of corporate governance paradigm and help companies achieve long-term development in the digital wave.

Spatial Coordination Analysis and Development Methods of the Catering Sector in Yongkang City

The catering sector is recognized as a crucial driver for stimulating domestic consumption and fostering sustained economic growth. A scientifically informed spatial planning of the catering sector in county-level cities can help mitigate the overconcentration or excessive dispersal of resources, thereby enhancing the efficiency of land and commercial resource utilization, reducing waste, and promoting sustainable development within a county’s economy. This study focuses on Yongkang City, located in central Zhejiang Province, as a case study. Using Python 3.1 software to extract point-of-interest (POI) data, spatial analysis techniques such as standard deviation ellipses and kernel density estimation are employed to elucidate the spatial distribution characteristics of the catering sector, comprehensive transportation, and public services in Yongkang City. Furthermore, a coupling coordination degree model is utilized to quantify the coupling coordination degrees between the catering sector and comprehensive transportation (D1), as well as between the catering sector and public services (D2), ultimately assessing the overall coupling coordination degree among the three sectors (D3). Based on the analysis results, the coupling coordination degrees are categorized into five levels, followed by a detailed evaluation of the catering sector’s development across different subdistricts. The findings indicate a certain degree of spatial imbalance in the distribution of the catering sector in Yongkang City, with the western region exhibiting a more favorable development trajectory. Notably, Dongcheng Subdistrict achieved the highest coupling coordination degree (0.993), while the northern region, hindered by underdeveloped economic conditions and limited transportation infrastructure, exhibited the lowest coordination degree (0.098). Considering the unique developmental characteristics and current conditions of each subdistrict, this study advocates for the formulation of a long-term sustainable development plan for the catering sector in Yongkang City. The findings of this research may offer valuable insights for other regions and countries, thereby promoting the sustainable advancement of the catering sector.

A cost-effective climate mitigation pathway for China with co-benefits for sustainability

Climate mitigation policies have broad environmental and socioeconomic impacts and thus underpin progress towards the United Nations Sustainable Development Goals (SDGs). Through national-scale integrated modeling, we explore the spillover effects of China’s long-term climate mitigation pathways (CMPs) on achieving all 17 SDGs, and then identify a cost-effective CMP for China with co-benefits for sustainability. Our analysis indicates that the 9 original CMPs and 180 bundled CMPs can both substantially boost the SDGs, resulting in an increase of 6.33–8.86 and 5.90–9.33 points in overall SDG score (0=no progress, 100=full achievement) by 2060, compared to the Reference pathway of 70.75 points, respectively. The identified cost-effective CMP deals with the trade-offs among sustainability, CO2 emissions and mitigation cost, and maximizes the synergies between them. This CMP can inform future directions for China’s policy-makers to maximize the potential synergies between carbon neutrality and long-term sustainable development.

Management myopia and corporate innovation in China: Focus on the moderating role of equity incentives

This study selected a sample of A-listed companies on the Shanghai and Shenzhen stock exchanges from 2010 to 2022 to examine the relationship between management myopia and corporate innovation. The findings are as follows. First, management myopia has an inhibiting effect on corporate innovation, whereas market competition significantly enhances such innovation. Second, equity incentives can alleviate the inhibiting effect of management myopia on corporate innovation by motivating managers to focus more on long-term development and innovation investments. Third, market competition has different impacts on innovation of companies with different levels of ownership. In this regard, its impact on companies with high equity concentration is more significant. Finally, market competition has different impacts on the innovation of state-owned and private enterprises, with a more significant impact on the latter.

Review on VSLAM based on deep learning

Abstract. Visual simultaneous localization and mapping technology (VSLAM) provides a theoretical basis for the operation of unmanned equipment such as autonomous vehicles and sweeping robots in unfamiliar environments. Although traditional VSLAM systems have achieved great success after long-term development, it is still difficult to maintain good performance in challenging environments. Deep learning, as a newly developed technology in the field of vision in recent years, has shown outstanding advantages in image processing. Combining deep learning with VSLAM is a hot topic. Deep learning can help traditional VSLAM systems improve the lack of scale information in dynamic environments by improving the performance of traditional VSLAM in depth estimation, pose estimation, and closed loop detection. It can not only reduce the scale of the network model but also improve the accuracy of trajectory estimation. Specifically, in terms of the fusion of VSLAM method flow and deep learning, many researchers have proposed deep learning fusion methods based on visual odometry, loop detection and mapping. This work studies the trend and combination of VSLAM with deep learning algorithms, hoping to provide help for the real autonomy of future mobile robots, and finally puts forward prospects for the development of VSLAM.

Mobilising in the face of large-scale urban change: a conversation between two community organisers from Johannesburg and London

Large-scale and long-term urban development projects often cause sizeable transformations in the built and social fabric, raising questions about the impacts on existing neighbourhoods and communities, and how they might try to shape the development. There are significant challenges to achieving community-based engagement at a large scale involving mobilising a wide range of stakeholders with different positionalities, agendas and priorities across multiple and diverse areas of a city. In this interview, two experienced organisers reflect together on their different but resonant experiences in building community networks to engage with large-scale developments. Between 2016 and 2018, the research project ‘Governing the Future City’ explored the governance of large-scale developments in three urban areas—London, Johannesburg and Shanghai. In Johannesburg and London, the research process directly funded and supported community-based organising in relation to the planning and implementation of the developments. The organisers and researchers worked with existing community-based organisations to try to influence the planning process, drawing together a wide range of affected community and neighbourhood groups. During the course of the research project, the two community coordinators, Mike Makwela (Planact, Johannesburg), focusing on the Corridors of Freedom project, and Sharon Hayward (London Tenants Federation and Grand Union Alliance), working on the Old Oak Park Royal development, visited the other city to explore possibilities to learn from each other’s experiences and contexts. In 2017, while Sharon was in Johannesburg, project researcher Romain Dittgen interviewed them together, twice, on 18 and 20 July, about their experiences of organising and mobilising in their respective cities, specifically in relation to large-scale development projects and in the context of highly diverse communities. Key issues that emerged concerned shared values of community self-organising, the benefits of building consensus or working with different views, and different approaches to relations with government officials and elected representatives. In parallel, they also reflected about working and collaborating with academics, as well as about possibilities for critical analysis of the developments and mutual learning across the two cases.

Does Government Environmental Concern Affect Enterprise Sustainable Development? Evidence from China

As the executor and agent of China’s environmental policy, local governments’ environmental concern reflects local governments’ determination in environmental governance. To figure out how the strengthening environmental concerns affect enterprises’ long-term activities, this study focuses on pharmaceutical manufacturing enterprises due to the enormous and complex composition of emissions. We apply bag of words to summarize relevant environmental words from the annual work reports in local governments to measure environmental concern. The empirical results of the OLS method reveal that the increasing environmental concerns of local governments did decrease the growth rate of chemical oxygen demand (COD) emission authentically. At the same time, it will inhibit the research and experimental development (R&amp;D) activity intensity, but promote production efficiency of pharmaceutical manufacturing enterprises. After that, we discuss the heterogeneity of enterprise ownership, corporate social responsibility and regional regulatory strength of enterprises. Overall, we conclude that environmental concern did reduce COD emission and promote production efficiency, but it also has negative spillover effects. The novel contribution of this paper is that it enriches the trade-off between strengthening environmental compliance costs and long-term production and innovation activities. These results indicate that pharmaceutical manufacturing enterprises prioritize optimizing existing production processes instead of adopting efficient technology when complying with stricter environmental regulation. The reduction of R&amp;D activities may pose risks to the long-term sustainable development of enterprises.

Long-term investigation of uniaxial compressive and self-sensing performances of ultra-high performance seawater sea-sand concrete incorporating superfine stainless wires: Insights into underlying mechanisms and theoretical models

Developing intrinsic self-sensing concrete is expected to provide a digital intelligence solution to address the infrastructure’s challenges in terms of safety, lifespan, resilience, and carbon emission reduction. Using seawater and sea-sand as well as corrosion-resistant conductive fillers to fabricate self-sensing ultra-high seawater sea-sand performance concrete (UHPSSC) with outstanding mechanical and durability performances is the prerequisite for realizing localized resource utilization and in-situ monitoring of marine infrastructure. However, the potential effect of ions from seawater and sea-sand on the long-term stability of mechanical and electrical performances cannot be ignored. This paper presents a long-term investigation of uniaxial compressive, electrical, and self-sensing performances of superfine stainless wires (SWs) reinforced UHPSSC under natural curing. The results show that incorporating 1.5% SWs improves the compressive strength, elastic modulus, peak strain, and toughness of UHPSSC by 25.0%, 11.7%, 33.8%, and 119.2%, respectively. The established statistical damage constitutive models based on Weibull strength theory highlight the roles of SWs in delaying crack initiation. The dense microstructure of SWs-reinforced UHPSSC inhibits the growth of expansive hydration products formed by corrosive ions, thus guaranteeing its long-term strength development. Additionally, due to incorporating 1.5% SWs, the electrical resistivity of UHPSSC is reduced by seven orders of magnitude, with a strain sensitivity of 119.1 under monotonic compressive loading and a monitoring stress range of 0-148.4 MPa, indicating that SWs-reinforced UHPSSC can sense its stress and strain while providing early warning of crack initiation and propagation. Benefiting from the rust-free property, micron diameter, and high aspect ratio of SWs, the primary conductive path of composites comprises the overlapping networks formed by low-content SWs, which are not influenced by the ion conduction of conductive ions. Hence, SWs-reinforced UHPSSC exhibits stable electrical resistivity and sensitivity during long-term curing, suggesting its considerable potential for long-term in-situ monitoring of marine infrastructure.

Surgical results of tetralogy of Fallot repair with pulmonary valve preservation techniques

The long-term complications arising from chronic pulmonary insufficiency after surgical correction of tetralogy of Fallot (TOF) are well documented. In our center, innovative techniques for pulmonary valve (PV) preservation have been adopted and developed for over 10 years. All patients with TOF and PV stenosis who underwent surgery at our center between January 2008 and December 2022 were included in this study. Patients were evaluated using echocardiography during follow-up, comparing those who underwent classic surgery with transannular patch (TAP) placement and those who underwent PV preservation techniques. Of the 134 patients, 99 (73.9%) were successfully treated using PV preservation techniques. At the time of surgery, the median age was 4.3 months (interquartile range [IQR] 3.4-5.9 months). The median preoperative PV z-score was -2.87 (IQR -3.61;-2.48). The median follow-up time from surgery was 6.6 years (IQR 3.5-8.4 years). During the median follow-up, the right ventricular area change fraction was 47% (IQR 43-50%) in patients treated with PV preservation and 43% (IQR 41-47%) in the TAP group (p=0.005). These data were associated with better PV function in patients treated with preservation. Specifically, insufficiency was mild in 12%, moderate in 35%, and severe in 53% of patients in the TAP group. Conversely, insufficiency was mild in 53%, moderate in 35%, and severe in 11% of patients treated with preservation (p<0.001). Annular integrity and PV function can be preserved during early TOF correction. PV preservation can prevent the long-term development of pulmonary insufficiency and right ventricular dysfunction.

Entrepreneurship-Based Education: Teaching Students to Think Creatively and Innovatively

Entrepreneurship-based education in the era of globalization and fast-developing technology is becoming increasingly important for the younger generation to face the challenges of a dynamic world of work. The purpose of this study is to explore the effectiveness of entrepreneurship education in shaping an innovative mindset among students. The methods used in this study include qualitative analysis through a literature review approach to analyze and summarize various relevant sources on entrepreneurship education and the development of creative and innovative thinking skills in students. The results showed that entrepreneurship-based education successfully improved students' skills in identifying opportunities, solving problems creatively, and adapting to change. The implication of this study confirms that the integration of entrepreneurship education in the curriculum can significantly contribute to the development of relevant skills for students, as well as encourage innovation and economic growth in society. Further research is recommended to explore different approaches in teaching entrepreneurship and their impact on students' long-term development.