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RETRACTED ARTICLE: Unlocking Economic Unity: The Digital Economy’s Impact on Market Segmentation in China

Author

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  • Pei Yuan

    (Henan University of Urban Construction)

  • Mingzhen Shao

    (Henan University)

  • Chao Ma

    (Ningbo University)

Abstract

In an era marked by economic globalization, rising protectionism, and the COVID-19 pandemic’s ongoing challenges, market segmentation plays a critical role in shaping economic dynamics. In navigating a rapidly changing global landscape, China has formulated strategies to prioritize domestic circulation and harmonize domestic and foreign circulations. Market segmentation, known for its detrimental effects on economic development and income inequality, poses significant challenges to consumers and producers. This paper explores the potential of the digital economy, driven by technologies like the Internet, big data, and 5G, to dismantle market segmentation and promote a unified domestic market. Combining theoretical frameworks with empirical analysis, this research investigates the complex relationship between the digital economy and market segmentation. It reveals that the digital economy holds transformative potential, especially in coastal regions, where modern digital infrastructure is prevalent. The study emphasizes the importance of customized policies to address regional disparities and offers strategic policy recommendations. Theoretical implications include expanding our understanding of the digital economy’s role in mitigating market segmentation and encouraging scholars to reassess conventional economic paradigms in emerging technology environments. Policy recommendations call for coordinated efforts to support digital infrastructure, develop a regional digital economy, and improve legal frameworks to balance innovation and market regulation. This research contributes valuable insights for policymakers navigating the intersection of technology, market dynamics, and economic integration in the digital age.

Suggested Citation

  • Pei Yuan & Mingzhen Shao & Chao Ma, 2024. "RETRACTED ARTICLE: Unlocking Economic Unity: The Digital Economy’s Impact on Market Segmentation in China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 16700-16734, December.
  • Handle: RePEc:spr:jknowl:v:15:y:2024:i:4:d:10.1007_s13132-024-01740-3
    DOI: 10.1007/s13132-024-01740-3
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    References listed on IDEAS

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    1. Jonathan Z. Zhang & Chun-Wei Chang, 2021. "Correction to: Consumer dynamics: theories, methods, and emerging directions," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 197-197, January.
    2. Steven T Berry & Giovanni Compiani, 2023. "An Instrumental Variable Approach to Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1724-1758.
    3. Yanjun Yang & Rui Xue & Dong Yang, 2020. "Does market segmentation necessarily discourage energy efficiency?," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-19, May.
    4. Liang Nie & ZhongXiang Zhang, 2022. "Market Segmentation and Energy Efficiency: Evidence from China’s Regional Economies," The Energy Journal, , vol. 43(6), pages 217-242, November.
    5. Yinxing Hong, 2018. "The major innovations of Chinese economic development theories in the new era," China Political Economy, Emerald Group Publishing Limited, vol. 1(1), pages 13-29, October.
    6. Stef Proost & Jacques-François Thisse, 2019. "What Can Be Learned from Spatial Economics?," Journal of Economic Literature, American Economic Association, vol. 57(3), pages 575-643, September.
    7. Kotabe, Masaaki & Kothari, Tanvi, 2016. "Emerging market multinational companies’ evolutionary paths to building a competitive advantage from emerging markets to developed countries," Journal of World Business, Elsevier, vol. 51(5), pages 729-743.
    8. Coe, Neil M. & Yeung, Henry Wai-chung, 2015. "Global Production Networks: Theorizing Economic Development in an Interconnected World," OUP Catalogue, Oxford University Press, number 9780198703914.
    9. Carl Dahlman & Sam Mealy & Martin Wermelinger, 2016. "Harnessing the digital economy for developing countries," OECD Development Centre Working Papers 334, OECD Publishing.
    10. Wang, Ying & Deng, Xiangzheng & Zhang, Hongwei & Liu, Yujie & Yue, Tianxiang & Liu, Gang, 2022. "Energy endowment, environmental regulation, and energy efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    11. Jin Zhou & Ali Raza & Hongguang Sui, 2021. "Infrastructure investment and economic growth quality: empirical analysis of China’s regional development," Applied Economics, Taylor & Francis Journals, vol. 53(23), pages 2615-2630, May.
    12. Liang Nie and ZhongXiang Zhang, 2022. "Market Segmentation and Energy Efficiency: Evidence from China's Regional Economies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    13. Feng Wang & Min Wu, 2021. "The Impacts of COVID-19 on China’s Economy and Energy in the Context of Trade Protectionism," IJERPH, MDPI, vol. 18(23), pages 1-23, December.
    14. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    15. Cheng, Cong & Wang, Limin, 2022. "How companies configure digital innovation attributes for business model innovation? A configurational view," Technovation, Elsevier, vol. 112(C).
    16. Ju-Yeon Lee & Shrihari Sridhar & Conor M. Henderson & Robert W. Palmatier, 2015. "Effect of Customer-Centric Structure on Long-Term Financial Performance," Marketing Science, INFORMS, vol. 34(2), pages 250-268, March.
    17. Zhenlong Miao, 2021. "Digital economy value chain: concept, model structure, and mechanism," Applied Economics, Taylor & Francis Journals, vol. 53(37), pages 4342-4357, August.
    18. Nicolas Crouzet & Neil R. Mehrotra, 2020. "Small and Large Firms over the Business Cycle," American Economic Review, American Economic Association, vol. 110(11), pages 3549-3601, November.
    19. Akbari, Amir & Ng, Lilian & Solnik, Bruno, 2020. "Emerging Markets Are Catching Up: Economic or Financial Integration? - CORRIGENDUM," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(7), pages 2429-2429, November.
    20. Jonathan Z. Zhang & Chun-Wei Chang, 2021. "Consumer dynamics: theories, methods, and emerging directions," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 166-196, January.
    21. Akbari, Amir & Ng, Lilian & Solnik, Bruno, 2020. "Emerging Markets Are Catching Up: Economic or Financial Integration?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(7), pages 2270-2303, November.
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    Cited by:

    1. Hankun Yuan & Gangdong Peng & Changhao Song & Luyu Wang & Siyu Lu, 2025. "Enhancing Digital Economy: Optimizing Export Enterprise Markup and Resource Allocation Efficiency," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 4185-4220, March.

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