
The Emergence of High-Level Tourism Economy Driven by New-Quality Productivity Development: An Analysis of Complex Causal Relationships Based on Regional New-Quality Productivity
- 1 Baoding University of Technology
- 2 Shenyang Normal University
* Author to whom correspondence should be addressed.
Abstract
How to promote tourism economic growth by configuring the three elements of labor force, means of labor, and objects of labor is a critical issue under the development context of new-quality productivity. Based on the theoretical framework of new-quality productivity development, this paper constructs antecedent conditions for fuzzy-set qualitative comparative analysis (fsQCA). Using tourism revenue as the outcome variable, four configurational pathways are identified: emerging strategic type, green development type, green innovation type, and talent introduction type. This study further illustrates typical cases of these four pathways for the emergence of a high-level tourism economy under the background of new-quality productivity development and proposes corresponding policy recommendations.
Keywords
New-quality productivity, Tourism economy, Emergence pathways, fsQCA, Policy recommendations
[1]. Saboori, B., Ghaderi, Z., & Soleymani, A. (2023). A revised perspective on the tourism-economic growth nexus: Exploring tourism market diversification. Tourism Economics, 7, 1812–1835.
[2]. Buckley, R. (2023). Economic value of tourism through human capital gains. Journal of Travel Research, 8, 1864–1868.
[3]. Zhu, G. (2024). An analysis of the cultivation of professional qualities of ‘new farmers’ driven by new-quality productive forces. Journal of Research in Vocational Education, 11, 57–61.
[4]. Yang, F., & Wang, C. (2023). The mechanism of financial development promoting technological innovation in strategic emerging industries. Technology Analysis & Strategic Management, 7, 875–889.
[5]. Duan, H., Mu, T., & Yu, Q. (2025). City-level analysis of carbon reduction potential and decarbonization challenges in China. Cities, 105636.
[6]. Khavrova, K., Kozhukhova, T., Bocharova, Y., Ivanova, N., & Pryimak, N. (2022). Development of formats for the implementation of the intelligent business model of trade enterprises. Eastern-European Journal of Enterprise Technologies, 13, 6–11.
Cite this article
Hou,J.;Li,T. (2025). The Emergence of High-Level Tourism Economy Driven by New-Quality Productivity Development: An Analysis of Complex Causal Relationships Based on Regional New-Quality Productivity. Advances in Economics, Management and Political Sciences,172,8-15.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 4th International Conference on Business and Policy Studies
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