Thesis

Measurement of rural talent revitalization level in China and analysis of spatiotemporal characteristics

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Awarding institution
  • University of Strathclyde
Date of award
  • 2026
Thesis identifier
  • T18007
Person Identifier (Local)
  • 201888786
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Abstract
  • This thesis addresses China's Rural Revitalization Strategy by establishing talent revitalization as its core driver. An evaluation system encompassing talent support, cultivation, and effectiveness was developed. Comprehensive econometric methods assessed rural talent revitalization levels across 31 Chinese provinces (2008-2022), utilizing national statistical yearbooks and departmental Data. Results indicate a stepwise upward trend in revitalization levels. Talent cultivation contributed most significantly, driven by non-agricultural workforce size and e-commerce development. Pronounced regional disparities formed a distinct spatial pattern, with eastern provinces leading and northeastern regions lagging. Spatio-temporal analysis revealed significant spatial autocorrelation and "club convergence": high-level clusters expanded from core eastern regions to encompass tencontiguous provinces, while low-level areas spread northwest and northeast. High-performing provinces exhibited reinforcing "elite club" effects, while low-performing ones faced intensified constraints from spatial negative external influences. Key obstacles included shortages in non-agricultural talent, insufficient innovation capacity, and lagging e-commerce infrastructure. Geographically and Temporally Weighted Regression (GTWR) modeling identified widening urban-rural income gaps, topographic relief, and environmental pollution as significant inhibitors. Conversely, rural fixed asset investment and population density exerted positive, though spatio-temporally heterogeneous, effects. Proposed interventions include: establishing "talent innovation enclaves" and tax-sharing schemes for East-West resource flow; creating "traditional industrial base talent zones" to revitalize the northeast; exploring human capital conversion mechanisms in border regions; building county-specific industrial talent matrices; implementing a Digital Commerce Initiative 2.0 for a data-skill-market loop; innovating urban-rural talent rotation with property-right incentives; establishing rural teconology incubators; piloting "carbon sink-for-talent" trading; andbuilding digital twin policy systems for precision governance. This research provides theoretical and practical foundations for optimizing rural talent allocation and promoting regional coordination. Key words: Rural revitalization; Talent revitalization; Evaluation indicator system; Level measurement; Spatiotemporal characteristics
Advisor / supervisor
  • Pan, Jiazhu
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