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Time-frequency dependence and dynamic linkages between digital economy and education markets

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  • Gao, Wang

Abstract

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.

Suggested Citation

  • Gao, Wang, 2025. "Time-frequency dependence and dynamic linkages between digital economy and education markets," Technology in Society, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:teinso:v:82:y:2025:i:c:s0160791x25000971
    DOI: 10.1016/j.techsoc.2025.102907
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    1. Yousaf, Imran & Ali, Shoaib & Marei, Mohamed & Gubareva, Mariya, 2024. "Spillovers and hedging effectiveness between islamic cryptocurrency and metal markets: Evidence from the COVID-19 outbreak," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1126-1151.
    2. Yang, Cai & Wang, Xinyi & Gao, Wang, 2022. "Is Bitcoin a better hedging and safe-haven investment than traditional assets against currencies? Evidence from the time-frequency domain approach," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    3. Audretsch, David B. & Lehmann, Erik E., 2005. "Does the Knowledge Spillover Theory of Entrepreneurship hold for regions?," Research Policy, Elsevier, vol. 34(8), pages 1191-1202, October.
    4. Zhang, Xiaobo & Kanbur, Ravi, 2005. "Spatial inequality in education and health care in China," China Economic Review, Elsevier, vol. 16(2), pages 189-204.
    5. Chiranjivi, GVS & Sensarma, Rudra, 2023. "The effects of economic and financial shocks on private investment: A wavelet study of return and volatility spillovers," International Review of Financial Analysis, Elsevier, vol. 90(C).
    6. Liu, Yanqiong & Lu, Jinjin & Shi, Fengyuan, 2023. "Spillover relationship between different oil shocks and high- and low-carbon assets: An analysis based on time-frequency spillover effects," Finance Research Letters, Elsevier, vol. 58(PC).
    7. Tiwari, Aviral Kumar & Nasreen, Samia & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2020. "Time-frequency causality and connectedness between international prices of energy, food, industry, agriculture and metals," Energy Economics, Elsevier, vol. 85(C).
    8. repec:eme:asei11:s1048-4736(05)16003-2 is not listed on IDEAS
    9. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    10. Zhu, Huiming & Huang, Xi & Ye, Fangyu & Li, Shuang, 2024. "Frequency spillover effects and cross-quantile dependence between crude oil and stock markets: Evidence from BRICS and G7 countries," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    11. Li, Yingli & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2021. "Analyzing the time-frequency connectedness among oil, gold prices and BRICS geopolitical risks," Resources Policy, Elsevier, vol. 73(C).
    12. Niu, Zibo & Demirer, Riza & Suleman, Muhammad Tahir & Zhang, Hongwei & Zhu, Xuehong, 2024. "Do industries predict stock market volatility? Evidence from machine learning models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
    13. Zoltán J. Ács & Pontus Braunerhjelm & David B. Audretsch & Bo Carlsson, 2015. "The knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 7, pages 129-144, Edward Elgar Publishing.
    14. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    15. Gong, Yuting & Li, Xiao & Xue, Wenjun, 2023. "The impact of EPU spillovers on the bond market volatility: Global evidence," Finance Research Letters, Elsevier, vol. 55(PB).
    16. Xiaodong Yang & Yang Xu & Asif Razzaq & Desheng Wu & Jianhong Cao & Qiying Ran, 2024. "Roadmap to achieving sustainable development: Does digital economy matter in industrial green transformation?," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 2583-2599, June.
    17. Eli Bekman & John Bound & Stephen Machin, 1998. "Implications of Skill-Biased Technological Change: International Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1245-1279.
    18. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2019. "Volatility spillover impact of world oil prices on leading Asian energy exporting and importing economies’ stock returns," Energy, Elsevier, vol. 188(C).
    19. Corey C. Phelps & Hongyan Yang & Kevin Steensma, 2010. "Learning from what others have learned from you: The effects of knowledge spillovers on originating firms," Post-Print hal-00528393, HAL.
    20. Babaçoğlu, Sinan & Yalçın, Galip Cihan & Kara, Karahan & Turen, Ufuk & Simic, Vladimir & Polat, Mustafa & Pamucar, Dragan, 2025. "Promoting benchmarking and best practices in education: An interval-valued spherical fuzzy model for assessing sustainable digital transformation maturity," Technology in Society, Elsevier, vol. 81(C).
    21. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    22. Wang, Xincheng & Li, Yuan & Tian, Longwei & Hou, Ye, 2023. "Government digital initiatives and firm digital innovation: Evidence from China," Technovation, Elsevier, vol. 119(C).
    23. Shailendra Palvia & Prageet Aeron & Parul Gupta & Diptiranjan Mahapatra & Ratri Parida & Rebecca Rosner & Sumita Sindhi, 2018. "Online Education: Worldwide Status, Challenges, Trends, and Implications," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 21(4), pages 233-241, October.
    24. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    25. Guo, Chuanyin & Song, Qiwei & Yu, Ming-Miin & Zhang, Jian, 2024. "A digital economy development index based on an improved hierarchical data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1146-1157.
    26. Dai, Kun, 2023. "“Double reduction” policy in education industry and firm values: Evidence from China," Finance Research Letters, Elsevier, vol. 54(C).
    27. Pan, Wenrong & Xie, Tao & Wang, Zhuwang & Ma, Lisha, 2022. "Digital economy: An innovation driver for total factor productivity," Journal of Business Research, Elsevier, vol. 139(C), pages 303-311.
    28. Hao, Zedong & Wang, Yun, 2022. "Education signaling, effort investments, and the market's expectations: Theory and experiment on China's higher education expansion," China Economic Review, Elsevier, vol. 75(C).
    29. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    30. Liang, Benbo & He, Gailei & Wang, Yuran, 2024. "The digital economy, market integration and environmental gains," Global Finance Journal, Elsevier, vol. 60(C).
    31. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    32. Mok, Ka Ho & Marginson, Simon, 2021. "Massification, diversification and internationalisation of higher education in China: Critical reflections of developments in the last two decades," International Journal of Educational Development, Elsevier, vol. 84(C).
    33. Liu, Guangqiang & Liu, Boyang, 2023. "How digital technology improves the high-quality development of enterprises and capital markets: A liquidity perspective," Finance Research Letters, Elsevier, vol. 53(C).
    34. Chatziantoniou, Ioannis & Gabauer, David & Gupta, Rangan, 2023. "Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach," Resources Policy, Elsevier, vol. 84(C).
    35. Adeleke, Musefiu A. & Awodumi, Olabanji B. & Adewuyi, Adeolu O., 2022. "Return and volatility connectedness among commodity markets during major crises periods: Static and dynamic analyses with asymmetries," Resources Policy, Elsevier, vol. 79(C).
    36. Xiong, Weiyan & Yang, Jiale & Shen, Wenqin, 2022. "Higher education reform in China: A comprehensive review of policymaking, implementation, and outcomes since 1978," China Economic Review, Elsevier, vol. 72(C).
    37. repec:eme:aseizz:s1048-4736(05)16003-2 is not listed on IDEAS
    38. Cavallo, Angelo & Ghezzi, Antonio & Dell'Era, Claudio & Pellizzoni, Elena, 2019. "Fostering digital entrepreneurship from startup to scaleup: The role of venture capital funds and angel groups," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 24-35.
    39. Gao, Wang & Zhang, Hongwei, 2024. "The role of education attention on high-tech markets in an emerging economy: Evidence from QQR and NCQ techniques," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    40. Zhao, Star X. & Ye, Fred Y., 2012. "Exploring the directed h-degree in directed weighted networks," Journal of Informetrics, Elsevier, vol. 6(4), pages 619-630.
    41. Torrent-Sellens, Joan, 2024. "Digital transition, data-and-tasks crowd-based economy, and the shared social progress: Unveiling a new political economy from a European perspective," Technology in Society, Elsevier, vol. 79(C).
    42. Liu, Bingbing, 2025. "How does digital transformation enhance enterprise technological innovation? Evidence from Chinese manufacturing listed companies," Technology in Society, Elsevier, vol. 82(C).
    43. David C. Broadstock & Ioannis Chatziantoniou & David Gabauer, 2022. "Minimum Connectedness Portfolios and the Market for Green Bonds: Advocating Socially Responsible Investment (SRI) Activity," Springer Books, in: Christos Floros & Ioannis Chatziantoniou (ed.), Applications in Energy Finance, chapter 0, pages 217-253, Springer.
    44. Wang, Peijin & Zhang, Hongwei & Yang, Cai & Guo, Yaoqi, 2021. "Time and frequency dynamics of connectedness and hedging performance in global stock markets: Bitcoin versus conventional hedges," Research in International Business and Finance, Elsevier, vol. 58(C).
    45. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    46. Dong, Shizheng & Zhang, Zili & Han, Yiduo & Si, Yanwu, 2023. "Do pension subsidies reduce household education expenditure inequality? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 532-540.
    47. Fackler, Paul L. & Goodwin, Barry K., 2001. "Spatial price analysis," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 17, pages 971-1024, Elsevier.
    48. Li, Huanjie & Zhang, Yuan & Li, Yan, 2024. "The impact of the digital economy on the total factor productivity of manufacturing firms: Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    49. Ding, Qian & Huang, Jianbai & Chen, Jinyu, 2021. "Dynamic and frequency-domain risk spillovers among oil, gold, and foreign exchange markets: Evidence from implied volatility," Energy Economics, Elsevier, vol. 102(C).
    50. Gao, Wang & Jin, Xiaoman & Zhang, Hongwei & He, Miao, 2025. "The asymmetric response of higher-order moments of precious metals to energy shocks and financial stresses: Evidence from time-frequency connectedness approach," Energy Economics, Elsevier, vol. 142(C).
    51. Tiwari, Aviral Kumar & Cunado, Juncal & Gupta, Rangan & Wohar, Mark E., 2018. "Volatility spillovers across global asset classes: Evidence from time and frequency domains," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 194-202.
    52. Nyborg, Kjell G. & Östberg, Per, 2014. "Money and liquidity in financial markets," Journal of Financial Economics, Elsevier, vol. 112(1), pages 30-52.
    53. Zhang, Hongwei & Fang, Beixin & He, Pengwei & Gao, Wang, 2024. "The asymmetric impacts of artificial intelligence and oil shocks on clean energy industries by considering COVID-19," Energy, Elsevier, vol. 291(C).
    54. Adewuyi, Adeolu O. & Adeleke, Musefiu A. & Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel, 2023. "Dynamic linkages between shipping and commodity markets: Evidence from a novel asymmetric time-frequency method," Resources Policy, Elsevier, vol. 83(C).
    55. Hu, Jinjin & Huo, Dong & Wu, Delin, 2024. "Digital economy development and venture capital networks: Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    56. Zhang, Hongwei & Wang, Peijin, 2021. "Does Bitcoin or gold react to financial stress alike? Evidence from the U.S. and China," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 629-648.
    57. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
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