The Policy Benefits and Mechanisms of Service Sector Liberalization on the Innovative Development of Beijing’s High-End Service Industry
- 1 School of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing, China
- 2 School of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing, China
- 3 Beijing Modern Industrial Development Research Center, Beijing, China
Abstract
Based on panel data from Beijing, this study employs a combination of the difference-in-differences (DID) method and the synthetic control method (SCM) to construct a counterfactual analysis framework, empirically testing the policy benefits of service sector liberalization and its underlying mechanisms. The findings indicate: First, the policy dividend effect is significant, with the expansion of service sector openness positively enhancing the total factor productivity (TFP) and international patent grant density of Beijing’s high-end service sector. The policy effect exhibits a sustained cumulative characteristic, with the gap between the actual TFP value and the synthetic control value gradually widening over time; Second, the policy drives innovation through three mechanisms: technology spillovers, institutional coordination, and spatial restructuring; Third, digital infrastructure plays a significant moderating role, with its amplifying effect on policy efficacy gradually strengthening and its contribution rate steadily increasing over time; Fourth, regional heterogeneity is pronounced, with foreign-invested areas showing significantly higher increases in TFP than traditional service areas. Based on the above findings, this paper proposes a four-dimensional optimization path of “differentiated opening-up, digital infrastructure networking, dynamic policy iteration, and regional institutional coordination” to provide policy references for building an open innovation ecosystem.
- Du, R. (2007). Promoting the Development of High-End Services. Economic Research Reference, No. 65 , 27.
- Foster, C. (2022). Digital Trade and Innovation in Services: Evidence from the EU’s Single Market. Journal of International Economics, 138 , Article 103648.
- Glaeser, E. L. (2020). Urbanization and Its Discontents. National Bureau of Economic Research. https://doi.org/10.3386/w26839
- Li, J. (2024). The Significance and Implementation Pathways of High-Quality Development in High-End Services. People ’ s Forum Academic Frontiers, No. 7 , 45-58.
- Li, X., Zhang, Y., & Zhou, M. (2023). Policy Experimentation and Innovation in China’s Service Sector Reform. Technological Forecasting and Social Change, 186 , Article 122115.
- Li, Y., & Han, P. (2021). The Mechanism and Pathways for High-Quality Development of Manufacturing in the Digital Economy. Macroeconomic Management, No. 5 , 37-45.
- Liu, Y. (2023). Computing Power-Driven Innovation in High-End Services: An Empirical Analysis Based on Beijing Data. S cience and Technology Management, 44 , 89-101.
- Muller, E. (2021). Knowledge-Intensive Business Services in Regional Innovation Systems. Journal of Knowledge Management, 25 , 421-438.
- Sun, C., & Tang, J. (2022). The Spatial Dynamics, Regional Differences, and Spatial Convergence Characteristics of China’s High-End Services. Statistics and Decision Making, 38 , 46-51.
- Teng, Y., & Shen, K. (2014). Analysis of the Impact of the China (Shanghai) Pilot Free Trade Zone on Jiangsu’s Economy. Jiangsu Social Sciences, No. 1 , 261-268.
- Wei, M., & Li, S. (2018). A Study on the Measurement of China’s High-Quality Economic Development in the New Era. Journal of Quantitative Economics and Technical Economics, 35 , 3-20.
- Wong, S. K. (2024). Measuring Innovation in Knowledge-Intensive Business Services: A Multidimensional Framework. Research Policy, 53 , Article 104901.
- Wu, B. (2020). Statistical Measurement of the Development of China’s Modern Service Industry. Journal of Shandong University of Business and Technology, No. 12 , 31-36.
- Yang, F., & Du, Y. (2021). A Study on the Conjugate Effects of Innovation and High-End Service Industry Talent Aggregation on Economic Growth: An Analysis Based on Panel Data from Western Chinese Cities. China Soft Science, No. 10 , 82-91.