本研究选取2010年至2022年我国沪深A股上市公司为样本,旨在实证探究企业ESG (环境、社会与治理)信息披露对其可持续发展率(企业竞争力)的影响及作用机制。通过严谨系统的实证分析,本文揭示了企业ESG信息披露与可持续发展率之间的显著关联及其内在机理。研究结果显示,企业ESG信息披露对可持续发展率具有显著正向影响,且该结论经过一系列严格稳健性检验后依然成立,充分验证了ESG信息披露对提升企业可持续发展率的积极作用。此外,本研究还发现,ESG信息披露能够通过缓解融资约束来增强企业竞争力。进一步地,基于行业特征、地域分布、内部控制程度等多个维度的异质性分析表明,非制造业、重污染行业、东部地区及内部控制程度较低的企业,其ESG信息披露对可持续发展率的影响更为显著。这一发现深化了学术界对ESG信息披露作用机制的认识,也为不同类型企业制定ESG信息披露策略提供了实证支撑。This study selects A-share listed companies in Shanghai and Shenzhen from 2010 to 2022 as samples, aiming to empirically explore the impact and mechanism of corporate ESG (Environmental, Social and Governance) information disclosure on their sustainable development rate (corporate competitiveness). Through rigorous and systematic empirical analysis, this article reveals the significant correlation and underlying mechanism between corporate ESG information disclosure and sustainable development rate. The research results show that corporate ESG information disclosure has a significant positive impact on the sustainable development rate, and this conclusion still holds true after a series of rigorous robustness tests, fully verifying the positive role of ESG information disclosure in improving corporate sustainable development rate. In addition, this study also found that ESG information disclosure can enhance corporate competitiveness by alleviating financing constraints. Furthermore, heterogeneity analysis based on multiple dimensions such as industry characteristics, regional distribution, and degree of internal control shows that the impact of ESG information disclosure on sustainable development rate is more significant for non-manufacturing, heavily polluting industries, eastern regions, and enterprises with lower levels of internal control. This discovery deepens the academic understanding of the mechanism of ESG information disclosure and provides empirical support for different types of enterprises to formulate ESG information disclosure strategies.
随着大数据的应用与发展,零工经济的出现激发强大的社会创造力。在此背景下通过对国内目前核心期刊中有关零工经济的文献进行分析,可以更好把握当下关注热点与探究研究前沿。本研究采用CiteSpace工具,对中国知网(CNKI)数据库中2003年至2023年间CSSCI、北大核心以及AMI收录的有关零工经济的文献进行了可视化分析。分析结果表明,在研究作者和机构方面,该领域虽然出现了一些关键团队,但学术交流的广度仍显不足;在研究主题方面,主要集中于对零工经济的内涵界定、价值含义和现状的理论性讨论;从研究的发展阶段来看,可分为2003年至2017年的成长期和2018年至2023年的快速扩展期两个阶段。未来零工经济研究可以在实证研究、地区对比研究、跨区域跨学科学术合作、案例分析研究等方面进一步展开。With the application and development of big data, the emergence of Gig Economy stimulates powerful social creativity. In this context, by analyzing the literature on Gig Economy in the current core journals in China, we can better grasp the current hotspots and explore the research frontiers. In this study, CiteSpace tool was used to visualise and analyze the literature on Gig Economy in the China Knowledge Network (CNKI) database between 2003 and 2023, which includes CSSCI, Peking University Core and AMI. The results of the analysis show that, in terms of research authors and institutions, although some key teams have emerged in this field, the breadth of academic exchanges is still insufficient;in terms of research topics, it mainly focuses on theoretical discussions on the definition of the connotation of the Gig Economy, the meaning of the value, and the current situation;and in terms of the stages of development of the research, it can be divided into the growth period from 2003 to 2017 and the rapid expansion from 2018 to 2023 two stages of the period. Future research on the Gig Economy can be further developed in terms of empirical research, regional comparative research, cross-regional and interdisciplinary academic cooperation, and case study research.
长期以来,我国医疗卫生服务面临供需矛盾,传统医疗行业难以满足日益增长的社会医疗需求。随着互联网技术的迅猛发展,医药电子商务逐渐成为解决这一矛盾的重要手段。《“健康中国2030”规划纲要》首次将互联网医疗提升至国家战略层面,表明了国家对此领域的高度重视。受到新冠疫情的影响,医药电商行业经历了爆发式增长,互联网医疗咨询量大幅激增,为医药电商的发展提供了广阔的市场空间。然而,当前医药电商在消费者满意度、服务质量和产品信任等方面仍面临诸多挑战。本文旨在从消费者的视角出发,深入分析影响医药电子商务满意度的主要因素,探讨行业现状与不足,并提出切实可行的改进措施。研究创新性地将Logit回归分析和主成分分析结合起来,系统性地识别出了影响消费者满意度的关键因素,从而为医药电商的发展提供了科学依据。本文的应用前景广阔,不仅为医药电商企业优化服务和提升消费者满意度提供了实用的建议,也为相关政策制定者在推动行业健康发展方面提供了参考。For a long time, China’s medical and health services have been facing a contradiction between supply and demand, and the traditional medical industry finds it difficult to meet the growing social demand for medical care. With the rapid development of Internet technology, pharmaceutical e-commerce has gradually become an important means to solve this contradiction. The “Healthy China 2030” Planning Outline elevates Internet-based healthcare to the level of a national strategy for the first time, demonstrating the country’s high degree of attention to this field. Influenced by the new crown epidemic, the pharmaceutical e-commerce industry has experienced explosive growth, and the volume of Internet medical consultations has surged dramatically, providing a broad market space for the development of pharmaceutical e-commerce. However, current pharmaceutical e-commerce still faces many challenges in terms of consumer satisfaction, service quality and product trust. The purpose of this paper is to analyze the main factors affecting pharmaceutical e-commerce satisfaction from the perspective of consumers, explore the current situation and shortcomings of the industry, and propose practical improvement measures. The innovation of the research lies in the combination of Logit regression analysis and principal component analysis, which systematically identifies the key factors affecting consumer satisfaction and provides a scientific basis for the development of pharmaceutical e-commerce. The application of this paper is promising, which not only provides practical sugges
在我国经济结构中,小微企业发挥着举足轻重的作用,对推动经济增长具有不可忽视的贡献。但是,在传统金融体系下,这些企业往往因为资金规模较小和市场竞争力不足而遭遇融资难题,这严重限制了它们获取必要资金的能力。本文深入剖析了小微企业当前的经营状况和面临的融资挑战,并借鉴一系列案例,探讨了互联网金融如何作为解决小微企业融资困境的有效途径。通过这些分析,本文旨在为小微企业提供策略支持,帮助它们在竞争激烈的市场环境中获得长远的发展。In the structure of our economy, small and micro enterprises play a crucial role and make an indispensable contribution to driving economic growth. However, in the traditional financial system, these enterprises often face financing difficulties due to their small scale of funding and insufficient market competitiveness. This seriously limits their ability to obtain necessary funds. This paper analyzes in depth the current operating conditions and financing challenges faced by small and micro enterprises, and draws on a series of case studies to explore how Internet finance can serve as an effective solution to their financing predicaments. Through these analyses, this paper aims to provide strategic support to small and micro enterprises, helping them achieve long-term development in a competitive market environment.
在全球经济增长放缓的背景下,就业难题日益凸显,成为社会广泛关注的热点。为应对这一挑战,政府采取了多方面举措,包括推动社会整体发展、制定并实施相关法律法规,以及提供补贴等,以期有效促进就业。近年来,国家大力推进科技创新和产业升级,政府通过补贴政策激励企业加大技术研发和应用,尤其是在人工智能领域的投入。基于当前经济环境,本文利用了2011~2022年间中国A股上市公司的数据资料,通过构建OLS (最小二乘法)面板数据模型进行了深入的实证分析。研究结果显示,政府提供的补贴对企业的劳动力需求有显著的促进作用,并且这种补贴还通过提高人工智能技术的应用水平,进一步增强了企业对劳动力的需求。此外,通过异质性分析我们观察到,相较于非国有企业和非劳动密集型企业,政府补贴在促进国有企业和劳动密集型企业劳动力需求方面的效果更为突出。In the context of the slowdown in global economic growth, the employment problem has become increasingly prominent and has become a hot spot of widespread concern in the society. In response to this challenge, the government has taken a number of measures, including promoting the development of society as a whole, enacting and enforcing relevant laws and regulations, and providing subsidies to effectively promote employment. In recent years, the state has vigorously promoted scientific and technological innovation and industrial upgrading, and the government has encouraged enterprises to increase investment in technology research and development and application through subsidy policies, especially in the field of artificial intelligence. Based on the current economic environment, this paper uses the data of China’s A-share listed companies from 2011 to 2022, and conducts an in-depth empirical analysis by constructing an OLS (least squares method) panel data model. The results show that the subsidies provided by the government have a significant effect on the labor demand of enterprises, and this subsidy also further enhances the labor demand of enterprises by improving the application level of artificial intelligence technology. In addition, through heterogeneity analysis, we observe that government subsidies are more effective in promoting labor demand in state-owned enterprises and labor-intensive enterprises than non-state-owned enterprises and non-labor-intensive enterprises.
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