黄河流域科技服务业发展效率的测度与评价

    Measurement and Evaluation of Development Efficiency of the Science and Technology Service Industry in the Yellow River Basin

    • 摘要: 基于三阶段DEA模型,构建了黄河流域科技服务业发展效率测度体系,并对2014—2023年黄河流域九省区科技服务业发展效率进行测度和时空演变分析。研究发现:环境因素导致真实效率被高估,规模效率低下是核心制约因素;区域效率分异加剧,山东、河南、四川、陕西四省稳居前沿面,其余五省受规模效率制约而落后;纯技术效率韧性较强,但技术升级未能突破规模不经济瓶颈。黄河流域科技服务业发展需要通过制度创新打通“环境—技术—规模”传导链,进而推动全流域效率的系统性重构。

       

      Abstract: It constructs a measurement system for the development efficiency of the science and technology service industry in the Yellow River Basin based on the three-stage Data Envelopment Analysis (DEA) model. It measures and conducts a spatio-temporal evolution analysis of the development efficiency of the science and technology service industry across the nine provinces/regions in the Yellow River Basin from 2014 to 2023. The findings indicate that environmental factors lead to an overestimation of actual efficiency, with low scale efficiency being the core constraint. Regional efficiency differentiation has intensified: Shandong Province, Henan Province, Sichuan Province, and Shaanxi Province have consistently remained at the efficiency frontier, while the other five provinces/regions lag behind due to constraints imposed by scale efficiency. Pure technical efficiency demonstrates strong resilience, yet technological upgrading has failed to break through the bottleneck of diseconomies of scale. To advance the science and technology service industry in the Yellow River Basin, institutional innovation is required to unblock the "environment-technology-scale" transmission chain, thereby driving the systematic reconstruction of efficiency across the entire basin.

       

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