Regional Governance Attributions for the Clustering of Scientific and Technological Talents - A Multitemporal QCA-based Group Analysis

科技人才集聚的区域治理归因—基于多时段 QCA 的组态分析

Abstract

How to identify the regional governance-driven paths of high concentration of scientific and technological talents in each time period and drive the talent concentration with the improvement of regional governance is an important question to be answered. This study takes 31 Chinese provinces and cities as cases, and combines NCA and multi-temporal QCA methods to explore the linkage effects and path choices of governmental, market and social governance elements on regional technological talent agglomeration. It is found that (1) a single condition does not constitute a necessary condition for high clustering of scientific and technological talents in each time period, but the interaction among governmental, market and social governance conditions in each time period can form a diverse set of conditions driving the clustering of scientific and technological talents. In time period 1, there are several equivalent groups such as finance-enterprise-resident-driven, enterprise-environment-driven and finance-industry-resident-driven. In time period 2, there are multiple paths such as enterprise-environment-resident driven and industry-resident driven. (2) Residents' life plays an important role in each time period, and the political and legal environment only plays a supporting role; enterprise quality and residents' life are mutually enhanced in each time period, and enterprise quality and livable environment are mutually weakened in both time periods; the political and legal environment co-evolves with financial input, enterprise quality and residents' life in each time period, and the relationship pattern among regional governance elements changes and generates inter-stage regional governance group evolution. (3) The relationship pattern between the regional governance elements changes at different levels of governance. (3) There are significant differences in the paths driving the concentration of scientific and technological talents in regions with different levels of governance. This study helps to deepen the understanding of the complex interactions among multiple factors of regional scientific and technological talent concentration in each time period, and brings insights to attract scientific and technological talents in different regional governance areas.