数字经济与教育市场的时频依赖关系及动态联系

IF 10.1 1区 社会学 Q1 SOCIAL ISSUES
Wang Gao
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引用次数: 0

摘要

本研究采用综合分析框架,结合时域和频域方法,研究数字经济与教育市场之间复杂的相互依存关系。评估包括几个关键的维度,包括回报、波动性和流动性的相互关联性。本研究的主要发现如下:(1)数字经济与教育部门之间存在实质性的相互依赖关系,特别是移动互联网、人工智能和大数据等要素与教育基础设施的联系最为明显。频域分析表明,收益溢出效应在短期内是强有力的,而与波动性相关的溢出效应在长期内会变得越来越显著。(2)云计算和大数据是溢出效应的主要来源,人工智能、移动互联网、虚拟现实和在线教育是关键中介。重要的是,职业教育和K-12教育成为这些溢出现象的主要受益者。(3)数字经济与教育市场之间的相互关系表现出时变特征,特别是在COVID-19大流行和“双降”政策实施等关键事件期间波动加剧。此外,在2022年之后,这些趋势将显著加强。(4)研究表明,与云计算、5G技术、大数据、人工智能和在线教育相关的资产具有较强的对冲有效性。本研究的结果旨在为教育政策制定者提供有关最佳资源配置策略的信息,促进数字技术在教育框架内的无缝集成,并为寻求跨市场投资的资产投资者提供战略见解,同时加强风险管理实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time-frequency dependence and dynamic linkages between digital economy and education markets
This study utilizes a comprehensive analytical framework, incorporating both time and frequency domain methodologies, to investigate the complex interdependencies between the digital economy and the education market. The evaluation encompasses several critical dimensions, including return, volatility, and liquidity interconnectedness. The principal findings of this research are as follows: (1) There is a substantial co-dependence observed between the digital economy and the education sector, with a particular focus on components such as mobile internet, artificial intelligence, and big data—elements that exhibit the most pronounced linkages to educational infrastructures. Frequency domain analysis indicates that return spillover effects are potent in the short term, whereas spillovers related to volatility become increasingly significant in the long term. (2) The analysis reveals cloud computing and big data as the principal sources of spillover effects, while artificial intelligence, mobile internet, virtual reality, and online education serve as critical intermediaries. Importantly, vocational and K-12 education emerge as the primary beneficiaries of these spillover phenomena. (3) The interrelationships between the digital economy and educational markets exhibit time-varying characteristics, particularly marked by heightened fluctuations during pivotal events such as the COVID-19 pandemic and the implementation of the "Double Reduction" policy. Additionally, a notable strengthening of these trends has been observed after 2022. (4) The study demonstrates that assets associated with cloud computing, 5G technology, big data, artificial intelligence, and online education possess robust hedging effectiveness. The findings of this research aspire to inform educational policymakers regarding optimal resource allocation strategies, facilitate the seamless integration of digital technologies within educational frameworks, and provide strategic insights for asset investors seeking to navigate cross-market investments while enhancing risk management practices.
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来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
期刊介绍: Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
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