“Innovation”Search All-EnPress Publisher LLC.

Aug 13, 2024

An empirical study on green innovation and ESG information disclosure of listed companies in China

Lately, there is a progressive assimilation of sustainable and green development principles into the collective conscience of individuals. Companies have received considerable attention from all sectors of life when it comes to the environment, society and governance (ESG). This study uses a bidirectional fixed effects model to investigate the influence and the mechanism of green innovation on company ESG information, using a research sample composed of data from the A-share listed companies in China spanning the period from 2011 to 2021. The findings indicated that green innovation exerted a substantial positive influence on ESG information disclosure, and the effect was more substantial, especially in mature and declining companies. Financing constraints and analysts’ attention played a mediating role between green innovation and ESG information disclosure. The results of heterogeneity analysis showed that green innovation played a more significant role in promoting ESG information disclosure among state-owned companies, large-scale companies, manufacturing companies and heavy pollution companies. Furthermore, implementing green development policies had facilitated the reinforcement of the promotion impact of ESG information disclosure through green innovation. Additionally, the instrumental variable method was employed to conduct a robustness test. This study enhances the understanding of the theoretical framework about green innovation and the disclosure of ESG information, and offers valuable insights for advancing the sustainable development of companies.

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Jan 15, 2025

Agritourism as a catalyst for sustainable rural development: Innovations, challenges, and policy perspectives in the post-COVID-19 era

This study investigates the dynamic landscape of agritourism in Thailand, emphasizing innovations, challenges, and policy implications in the post-COVID-19 era. Employing a qualitative approach, including a comprehensive literature review and semi-structured interviews with stakeholders, the research identifies key agritourism models, such as immersive learning experiences, technology-driven agritourism, and unconventional practices like salt and coconut plantations. Findings reveal that agritourism has adapted to shifting market demands through diversification, technological integration, and a heightened focus on sustainability. Notably, technology adoption in precision farming and hydroponics enhances resource efficiency and visitor engagement, while initiatives like rice paddy field tourism and highland agritourism showcase the cultural and ecological richness of rural landscapes. The study underscores the critical role of policy frameworks, infrastructure development, and community empowerment in fostering sustainable agritourism practices. Key policy recommendations include targeted subsidies, capacity-building programs, and harmonized regulatory frameworks to address challenges such as financial constraints, regulatory ambiguities, and inadequate infrastructure. This research contributes to the broader discourse on sustainable tourism and rural development, aligning agritourism with the United Nations Sustainable Development Goals (SDGs). By synthesizing insights on innovation, resilience, and sustainability, this study offers a comprehensive roadmap for policymakers, practitioners, and academics to leverage agritourism as a vehicle for rural revitalization and global sustainability. Future research directions are proposed to explore the long-term impacts of technological integration, community empowerment, and resilience strategies in agritourism.

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Apr 20, 2026

Artificial intelligence and public services: Enhancing effectiveness and citizen satisfaction

The paper discusses how artificial intelligence (AI) is transforming public services that are provided to people by governments and directing decision-making in the government. The research addresses the topic of AI technologies being fitted into government processes more often to achieve efficiency, better service provision, and data-driven policymaking. The research applies a secondary research methodology, which is a desk analysis of the available literature, in assessing the opportunities and challenges linked to the use of AI in the public sector. The results show that AI can enhance the quality of government and society services in the field of governance management, law enforcement, and medical services, and help make more informed administrative decisions. The paper also points to the significance of tackling the problem concerning data privacy concerns, ethical governance, and institutional preparedness. The study indicates that the successful implementation of AI should entail proper technological infrastructure, regulatory framework, and organizational capacity in government institutions.

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Mar 24, 2026

Forensic nanotechnology: Innovations, challenges, and legal considerations

Forensic science fundamentally centers on detecting and interpreting clues, many of which are extremely small, easily degraded by environmental conditions, or intentionally concealed. Traditional forensic methods remain reliable and legally accepted; however, they increasingly struggle to address emerging forms of highly minute and complex evidence. In response, researchers are turning to nanotechnology to enhance forensic capabilities. Working at the nanoscale offers improved sensitivity, selectivity, and accuracy, enabling forensic scientists to detect, visualize, and analyze trace evidence with greater precision. This review examines the expanding role of nanotechnology across diverse forensic domains, including fingerprint visualization, gunshot residue detection, DNA analysis, document authentication, drug-related investigations, and postmortem interval estimation. Rather than suggesting that nanotechnology will replace established approaches, this article compares nanoscale methods with conventional techniques, highlighting their respective advantages, limitations, and practical considerations. Key challenges, such as validation, reproducibility, interpretation of results, and admissibility in court, are critically discussed. By assessing how nanotechnology can both support and complicate forensic workflows, this review provides a balanced perspective on its realistic contributions and shortcomings. Through integrating recent scientific advances with an understanding of forensic constraints, the article aims to clarify how nanoscale technologies may meaningfully strengthen forensic science while upholding the evidentiary standards demanded by the justice system.

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Mar 31, 2026

Nanotechnology for liver cancer: Innovations, challenges, and future prospects

Liver cancer, particularly hepatocellular carcinoma (HCC), remains a major cause of cancer-related mortality worldwide due to various reasons, including late-stage diagnosis, treatment resistance, and limited therapeutic efficacy. Conventional treatment strategies- surgical resection, chemotherapy, and targeted therapies- pose significant limitations such as poor specificity, systemic toxicity, and disease recurrence, preventing timely treatment. Recent advances in nanotechnology provide promising solutions, particularly in early diagnosis and precision medicine. This review focuses on nanotechnology-based theranostic techniques, including nano biosensing, liquid biopsy innovations, and imaging enhancements. Furthermore, significant improvements in therapeutic strategies, such as nanoparticle-mediated drug delivery and immunomodulation, are discussed, as well as existing challenges and potential prospects. Understanding the potential of these innovations is crucial for establishing more effective, personalized, and minimally invasive strategies for liver cancer management.

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Dec 2, 2022

Dynamic capabilities perspective on innovation ecosystem of China’s universities in the age of artificial intelligence: Policy-based analysis

Universities play a key role in university-industry-government interactions and are important in innovation ecosystem studies. Universities are also expected to engage with industries and governments and contribute to economic development. In the age of artificial intelligence (AI), governments have introduced relevant policies regarding the AI-enabled innovation ecosystem in universities. Previous studies have not focused on the provision of a dynamic capabilities perspective on such an ecosystem based on policy analysis. This research work takes China as a case and provides a framework of AI-enabled dynamic capabilities to guide how universities should manage this based on China’s AI policy analysis. Drawing on two main concepts, which are the innovation ecosystem and dynamic capabilities, we analyzed the importance of the AI-enabled innovation ecosystem in universities with governance regulations, shedding light on the theoretical framework that is simultaneously analytical and normative, practical, and policy-relevant. We conducted a text analysis of policy instruments to illustrate the specificities of the AI innovation ecosystem in China’s universities. This allowed us to address the complexity of emerging environments of innovation and draw meaningful conclusions. The results show the broad adoption of AI in a favorable context, where talents and governance are boosting the advance of such an ecosystem in China’s universities.

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