Skip to main content

Advertisement

Log in

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

  • Published:
Journal of the Knowledge Economy Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

References

  • Akbari, A., Ng, L., & Solnik, B. (2020). Emerging markets are catching up: Economic or financial integration? Journal of Financial and Quantitative Analysis, 55(7), 2270–2303.

    Article  Google Scholar 

  • Allioui, H., & Mourdi, Y. (2023). Exploring the full potentials of IoT for better financial growth and stability: A comprehensive survey. Sensors, 23(19), 8015.

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  • Andaleeb, S. S. (2016). Market segmentation, targeting, and positioning. In Strategic marketing management in Asia: Case studies and lessons across industries (pp. 179–207). Emerald Group Publishing Limited.

  • Apalkova, S. T. V., & Tsyganov, S. (2016). Digital economy: A new paradigm of global information society. Economic Review, Ekonomické rozh. 295–311.

  • Arezki, R., Barone, A., Decker, K., Detter, D., Fan, R. Y., Nguyen, H., & Murciego, G. (2019). Reaching new heights: Promoting fair competition in the Middle East and North Africa. World Bank Publications.

  • Athwal, N., Wells, V. K., Carrigan, M., & Henninger, C. E. (2019). Sustainable luxury marketing: A synthesis and research agenda. International Journal of Management Reviews, 21(4), 405–426.

    Article  Google Scholar 

  • Bamberger, K. A., & Lobel, O. (2017). Platform Market Power. Berkeley Tech. LJ, 32, 1051.

    Google Scholar 

  • Barefoot, K., Curtis, D., Jolliff, W., Nicholson, J. R., & Omohundro, R. (2018). Defining and measuring the digital economy. US Department of Commerce Bureau of Economic Analysis, Washington, DC15, 210.

  • Berry, S. T., & Compiani, G. (2023). An instrumental variable approach to dynamic models. The Review of Economic Studies, 90(4), 1724–1758.

    Article  MathSciNet  Google Scholar 

  • Bian, Y., Song, K., & Bai, J. (2019). Market segmentation, resource misallocation and environmental pollution. Journal of Cleaner Production, 228, 376–387.

    Article  CAS  Google Scholar 

  • Biwei, Y. (2018, November). Study on the evaluation system of information potential of regional circulation industry from the perspective of potential science. In 2018 International Conference on Economy, Management and Entrepreneurship (ICOEME 2018) (pp. 56–64). Atlantis Press.

  • Box, S., & Lopez-Gonzalez, J. (2017). The future of technology: Opportunities for ASEAN in the digital economy (pp. 37–60). Global megatrends: Implications for the ASEAN economic community.

    Google Scholar 

  • Bukht, R., & Heeks, R. (2017). Defining, conceptualising and measuring the digital economy. Development Informatics working paper, (68).

  • Cavusgil, S. T., Deligonul, S., Kardes, I., & Cavusgil, E. (2018). Middle-class consumers in emerging markets: Conceptualization, propositions, and implications for international marketers. Journal of International Marketing, 26(3), 94–108.

    Article  Google Scholar 

  • Chen, J., Hu, X., Huang, J., & Lin, R. (2022). Market integration and green economic growth—recent evidence of China’s city-level data from 2004–2018. Environmental Science and Pollution Research, 29(29), 44461–44478.

    Article  PubMed  Google Scholar 

  • Cheng, C., & Wang, L. (2022). How companies configure digital innovation attributes for business model innovation? A Configurational View. Technovation, 112, 102398.

    Article  Google Scholar 

  • Coe, N. M., & Yeung, H. W. C. (2015). Global production networks: Theorizing economic development in an interconnected world. Oxford University Press.

  • Crouzet, N., & Mehrotra, N. R. (2020). Small and large firms over the business cycle. American Economic Review, 110(11), 3549–3601.

    Article  Google Scholar 

  • Daellenbach, K., Parkinson, J., & Krisjanous, J. (2018). Just how prepared are you? An application of marketing segmentation and theory of planned behavior for disaster preparation. Journal of Nonprofit & Public Sector Marketing, 30(4), 413–443.

    Article  Google Scholar 

  • Dahlman, C., Mealy, S., & Wermelinger, M. (2016). Harnessing the digital economy for developing countries.

  • Darroch, J., Drucker, P. F., & Ito, M. (2014). Why marketing to women doesn’t work: Using market segmentation to understand consumer needs. Palgrave Macmillan.

  • Din, I. U., Guizani, M., Hassan, S., Kim, B. S., Khan, M. K., Atiquzzaman, M., & Ahmed, S. H. (2018). The Internet of Things: A review of enabled technologies and future challenges. Ieee Access, 7, 7606–7640.

    Article  Google Scholar 

  • Dneprovskaya, N., Urintsov, A., & Afanasev, M. (2018, November). Study of the innovative environment of the digital economy. In Proceedings of the 15th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning–ICICKM (Vol. 2018, pp. 67–76).

  • Elia, V., Gnoni, M. G., & Tornese, F. (2017). Measuring circular economy strategies through index methods: A critical analysis. Journal of Cleaner Production, 142, 2741–2751.

    Article  Google Scholar 

  • Ernst, D., & Dolnicar, S. (2018). How to avoid random market segmentation solutions. Journal of Travel Research, 57(1), 69–82.

    Article  Google Scholar 

  • Feng, S., Chong, Y., Li, G., & Zhang, S. (2022). Digital finance and innovation inequality: Evidence from green technological innovation in China. Environmental Science and Pollution Research, 29(58), 87884–87900.

    Article  PubMed  Google Scholar 

  • Feng, Q. I. A. O., & Jian, Y. (2003). The application of time series analysis and all-around PCA in the economic dynamic description [J]. Application of Statistics and Management, 22(2), 1–5.

    Google Scholar 

  • Fox, E. M., & Bakhoum, M. (2019). Making markets work for Africa: Markets, development, and competition law in Sub-Saharan Africa. Oxford University Press.

    Book  Google Scholar 

  • Fu, Y., & Yi, Z. (2023). Multi-province comparisons of digital financial inclusion performance in China: A group ranking method with preference analysis. China Economic Review, 102014.

  • Gibbs, C., Guttentag, D., Gretzel, U., Yao, L., & Morton, J. (2018). Use of dynamic pricing strategies by Airbnb hosts. International Journal of Contemporary Hospitality Management, 30(1), 2–20.

    Article  Google Scholar 

  • Grimshaw, D., Fagan, C., Hebson, G., & Tavora, I. (2017). A new labour market segmentation approach for analysing inequalities: Introduction and overview. In Making work more equal (pp. 1–32). Manchester University Press.

  • Hindman, M. (2018). The Internet trap: How the digital economy builds monopolies and undermines democracy. Princeton University Press.

  • Ho, S. (2020). Infrastructure and Chinese power. International Affairs, 96(6), 1461–1485.

    Article  Google Scholar 

  • Hong, Y. (2018). The major innovations of Chinese economic development theories in the new era. China Political Economy, 1(1), 13–29.

    Article  MathSciNet  Google Scholar 

  • Huws, U. (2014). Labor in the global digital economy: The cybertariat comes of age. NYU Press.

  • Jackson, G., & Ahuja, V. (2016). Dawn of the digital age and the evolution of the marketing mix. Journal of Direct, Data and Digital Marketing Practice, 17, 170–186.

    Article  Google Scholar 

  • Järvinen, J., & Taiminen, H. (2016). Harnessing marketing automation for B2B content marketing. Industrial Marketing Management, 54, 164–175.

    Article  Google Scholar 

  • Key, T. M. (2017). Domains of digital marketing channels in the sharing economy. Journal of Marketing Channels, 24(1–2), 27–38.

    Article  Google Scholar 

  • Kirton, J. J., & Warren, B. (2018). G20 governance of digitalization. International Organisations Research Journal, 13(2), 17–40.

    Article  Google Scholar 

  • Kotabe, M., & Kothari, T. (2016). Emerging market multinational companies’ evolutionary paths to building a competitive advantage from emerging markets to developed countries. Journal of World Business, 51(5), 729–743.

    Article  Google Scholar 

  • Lasisi, A., & Attoh-Okine, N. (2018). Principal components analysis and track quality index: A machine learning approach. Transportation Research Part C: Emerging Technologies, 91, 230–248.

    Article  Google Scholar 

  • Lee, J. Y., Sridhar, S., Henderson, C. M., & Palmatier, R. W. (2015). Effect of customer-centric structure on long-term financial performance. Marketing Science, 34(2), 250–268.

    Article  Google Scholar 

  • Leisch, F., Dolnicar, S., & Grün, B. (2018). Market segmentation analysis: Understanding it, doing it, and making it useful.

  • Li, K., Kim, D. J., Lang, K. R., Kauffman, R. J., & Naldi, M. (2020). How should we understand the digital economy in Asia? Critical assessment and research agenda. Electronic Commerce Research and Applications, 44, 101004.

    Article  PubMed  PubMed Central  Google Scholar 

  • Li, Z., & Liu, Y. (2021). Research on the spatial distribution pattern and influencing factors of digital economy development in China. Ieee Access, 9, 63094–63106.

    Article  Google Scholar 

  • Lieder, M., & Rashid, A. (2016). Towards circular economy implementation: A comprehensive review in context of manufacturing industry. Journal of Cleaner Production, 115, 36–51.

    Article  Google Scholar 

  • Liu, B., & H., McCarthy, B., Chen, T., Guo, S., & Song, X. (2014). The Chinese wine market: A market segmentation study. Asia Pacific Journal of Marketing and Logistics, 26(3), 450–471.

    Article  Google Scholar 

  • Lobo, C. A., Fernandes, C. I., Ferreira, J. J., & Peris-Ortiz, M. (2020). Factors affecting SMEs’ strategic decisions to approach international markets. European Journal of International Management, 14(4), 617–639.

    Google Scholar 

  • Lord, R., Bolton, N., Fleming, S., & Anderson, M. (2016). Researching a segmented market: Reflections on telephone interviewing. Management Research Review, 39(7), 786–802.

    Article  Google Scholar 

  • Lu, M., & Chen, Z. (2009). Fragmented growth: Why economic opening may worsen domestic market segmentation. Economic Research Journal, 3, 42–52.

    CAS  Google Scholar 

  • Luo, S., Yimamu, N., Li, Y., Wu, H., Irfan, M., & Hao, Y. (2023). Digitalization and sustainable development: How could digital economy development improve green innovation in China? Business Strategy and the Environment, 32(4), 1847–1871.

    Article  Google Scholar 

  • Miao, Z. (2021). Digital economy value chain: Concept, model structure, and mechanism. Applied Economics, 53(37), 4342–4357.

    Article  Google Scholar 

  • Nagle, T. T., & Muller, G. (2018). The strategy and tactics of pricing. Routledge.

    Google Scholar 

  • Narayanaswami, S. (2017). Urban transportation: Innovations in infrastructure planning and development. The International Journal of Logistics Management, 28(1), 150–171.

    Article  Google Scholar 

  • Nie, L., & Zhang, Z. (2022). Market segmentation and energy efficiency: Evidence from China’s regional economies. The Energy Journal43(6).

  • Ning, J., Yin, Q., & Yan, A. (2022). How does the digital economy promote green technology innovation by manufacturing enterprises? Evidence from China. Frontiers in Environmental Science, 10, 967588.

    Article  Google Scholar 

  • Nunn, N., & Qian, N. (2014). US food aid and civil conflict. American Economic Review, 104(6), 1630–1666.

    Article  Google Scholar 

  • Olbert, M., & Spengel, C. (2017). International taxation in the digital economy: Challenge accepted?. World Tax J., 3.

  • Proost, S., & Thisse, J. F. (2019). What can be learned from spatial economics? Journal of Economic Literature, 57(3), 575–643.

    Article  Google Scholar 

  • Ren, S., Hao, Y., & Wu, H. (2021). Government corruption, market segmentation and renewable energy technology innovation: Evidence from China. Journal of Environmental Management, 300, 113686.

    Article  PubMed  Google Scholar 

  • Rong, K. (2022). Research agenda for the digital economy: An IBCDE framework. Journal of Digital Economy.

  • Saleem, M. A., Eagle, L., & Low, D. (2018). Market segmentation based on eco-socially conscious consumers’ behavioral intentions: Evidence from an emerging economy. Journal of Cleaner Production, 193, 14–27.

    Article  Google Scholar 

  • Shao, S., Chen, Y., Li, K., & Yang, L. (2019). Market segmentation and urban CO2 emissions in China: Evidence from the Yangtze River Delta region. Journal of Environmental Management, 248, 109324.

    Article  PubMed  Google Scholar 

  • Sheng, L. (2022). The World Trade Organization and the Digital Economy Partnership Agreement: Analog trade rules in a digital era. Big Tech Firms and International Relations: The Role of the Nation-State in New Forms of Power (pp. 93–114). Springer Nature Singapore: Singapore.

    Chapter  Google Scholar 

  • Toumeh, A. A., Yahya, S., & Amran, A. (2020). Surplus free cash flow, stock market segmentations and earnings management: The moderating role of independent audit committee. Global Business Review, 0972150920934069.

  • Venter, P., Wright, A., & Dibb, S. (2018). Performing market segmentation: A performative perspective. In Marketing Performativity (pp. 62–83). Routledge.

  • Volkova, N., Kuzmuk, I., Oliinyk, N., Klymenko, I., & Dankanych, A. (2021). Development trends of the digital economy: E-business, e-commerce.

  • Wang, L., Huang, Z., & Wang, Y. (2023). Bank shareholder network and board governance: Evidence from Chinese commercial banks. Journal of Innovation & Knowledge, 8(4), 100412.

    Article  Google Scholar 

  • Wang, Z., Wei, S. J., Yu, X., & Zhu, K. (2017). Measures of participation in global value chains and global business cycles (No. w23222). National Bureau of Economic.

  • Wang, F., & Wu, M. (2021). The Impacts of COVID-19 on China’s economy and energy in the context of trade protectionism. International Journal of Environmental Research and Public Health, 18(23), 12768.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Wilmers, N. (2017). Does consumer demand reproduce inequality? High-income consumers, vertical differentiation, and the wage structure. American Journal of Sociology, 123(1), 178–231.

    Article  Google Scholar 

  • Wouters, M., Morales, S., Grollmuss, S., & Scheer, M. (2016). Methods for cost management during product development: A review and comparison of different literatures. Advances in Management Accounting, 139–274.

  • Xu, Y., & Li, T. (2022). Measuring digital economy in China. National Accounting Review, 4(3), 251–272.

    Article  Google Scholar 

  • Yang, Y., Xue, R., & Yang, D. (2020). Does market segmentation necessarily discourage energy efficiency? PLoS ONE, 15(5), e0233061.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Zhang, J. Z., & Chang, C. W. (2021). Consumer dynamics: Theories, methods, and emerging directions. Journal of the Academy of Marketing Science, 49, 166–196.

    Article  Google Scholar 

  • Zhang, J., Zhao, W., Cheng, B., Li, A., Wang, Y., Yang, N., & Tian, Y. (2022). The impact of digital economy on the economic growth and the development strategies in the post-COVID-19 era: Evidence from countries along the ‘Belt and Road.’ Frontiers in Public Health, 10, 856142.

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  • Zhao, Y., Von Delft, S., Morgan-Thomas, A., & Buck, T. (2020). The evolution of platform business models: Exploring competitive battles in the world of platforms. Long Range Planning, 53(4), 101892.

    Article  Google Scholar 

  • Zheng, S., & Du, R. (2020). How does urban agglomeration integration promote entrepreneurship in China? Evidence from regional human capital spillovers and market integration. Cities, 97, 102529.

    Article  Google Scholar 

  • Zhou, J., Raza, A., & Sui, H. (2021). Infrastructure investment and economic growth quality: Empirical analysis of China’s regional development. Applied Economics, 53(23), 2615–2630.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Mingzhen Shao or Chao Ma.

Ethics declarations

Conflict of Interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Mingzhen Shao and Chao Ma contributed equally to the work.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yuan, P., Shao, M. & Ma, C. Unlocking Economic Unity: The Digital Economy’s Impact on Market Segmentation in China. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-01740-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s13132-024-01740-3

Keywords

Navigation