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Arid Land Geography ›› 2026, Vol. 49 ›› Issue (2): 211-223.doi: 10.12118/j.issn.1000-6060.2024.730

• New Quality Productive Forces Driving High-Quality Development of Tourism • Previous Articles     Next Articles

Evolutionary measurement and obstacle identification of new quality productive forces in tourism in China

BAI Yang1,2(), CHEN Mingzhu1,2(), ZHOU Chunshan3, LI Yaru1,2, TANG Cheng1,2   

  1. 1. Key Laboratory of the Sustainable Development of Xinjiang’ s Historical and Cultural Tourism, Urumqi 830046, Xinjiang, China
    2. School of Tourism, Xinjiang University, Urumqi 830046, Xinjiang, China
    3. School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, Guangdong, China
  • Received:2024-12-05 Revised:2025-03-05 Online:2026-02-25 Published:2026-02-27
  • Contact: CHEN Mingzhu E-mail:baiyang@xju.edu.cn;107552203073@stu.xju.edu.cn

Abstract:

The tourism sector constitutes a critical platform for incubating new, quality, productive forces, leveraging its potential to accelerate structural economic upgrades and technological advancement. This study constructs a theoretical framework for new quality productive forces in tourism (TNQP) and establishes an evaluation index system. Using the entropy-weighted technique for order of preference by similarity to ideal solution method, we measure China’s TNQP and investigate its spatial-temporal differentiation, evolutionary patterns, and obstacle factors using geospatial measurement techniques and statistical methods. Key findings reveal that (1) The theoretical mechanism of TNQP relies on the synergistic interaction of three dimensions: New quality laborers, new quality means of labor, and new quality objects of labor. (2) China’s TNQP exhibits a wave-like periodic trajectory in temporal evolution, with a gradient decline from eastern to central and western regions. Dimensionally, new quality objects of labor outweigh new quality means of labor and laborers. Moreover, inter-provincial disparities have gradually narrowed, demonstrating a significant convergence trend. (3) TNQP development remains stable, showing a spatial pattern of “low-level clustering and medium-level contraction”. Inter-regional disparities primarily drive the overall Gini coefficient, while intra-regional disparities follow the order: Eastern>western>central. Furthermore, spatial evolution displays diffusion along the northeast-southwest axis, with the gravity center persistently shifting southwestward. (4) New quality objects of labor emerge as the key constraining dimension, with key obstacle factors including international tourist arrivals, general industrial solid waste, tourism research and development personnel, per capita broadband interfaces, and tourism foreign exchange earnings. This study’s findings provide a scientific basis and practical guidance for promoting the high-quality development of China’s tourism economy.

Key words: new quality productive forces in tourism (TNQP), dynamic evolution, obstacle identification, China