School of Economics and Management, Anhui University of Science and Technology, Huainan 232001, China; School of Economics, Fudan University, 200433, China.
School of Economics and Management, Anhui University of Science and Technology, Huainan 232001, China.
Sci Total Environ. 2020 May 10;716:137107. doi: 10.1016/j.scitotenv.2020.137107. Epub 2020 Feb 5.
Technological innovation is an important driving force for the regional economy's high-quality development, and determining ways to improve the condition and allocation efficiency of factor endowment is key to improving the performance of regional technological innovation. Considering the dynamic conditions of technological progress, we empirically study the endowment conditions and allocation efficiency of technological innovation factors input in the Yangtze River Delta region by using the translog production function to explore the interactive mechanism of innovation factors to technological innovation performance during 2000-2017. The results show the following: First, the three innovation factors-innovative human capital investment, research and development (R&D) fund investment, and fixed asset investment-contributed positively to technological innovation performance output in the Yangtze River Delta region, but there is an obvious gap between Anhui Province and the Jiangsu Province, Zhejiang Province, and Shanghai Municipality. Among the three factors, the contribution rate of R&D fund investment is relatively high, and technological innovation is dependent on R&D fund investment. Second, the biased technological progress of technological innovation factors in the Yangtze River Delta region shows a growth trend, and allocation efficiency of all three innovation factors improved continuously. The provinces' order from high to low allocation efficiency is Jiangsu Province, Shanghai Municipality, Zhejiang Province, and Anhui Province; Zhejiang Province showed the fastest improvement. Finally, the alternative elasticity coefficient of the three innovation factors in Jiangsu Province, Zhejiang Province, and Shanghai Municipality is greater than zero. The proportion structure of the input of technological innovation factors matches the regional technological progress. Technological innovation is in the effective economic range, but the fixed asset investment factors are relatively abundant, and there is room for improvement in the factor configuration structure. In Anhui Province, the alternative elasticity of innovative human capital investment and innovation R&D fund investment during 2000-2012 is less than zero, and the factor configuration structure keeps Anhui Province's technological innovation output in the uneconomic range, which is an internal factor that hinders the output of technological innovation performance in this province. They are not inconsistent that input and contribution rate of the innovation factors in the Yangtze River Delta region. The result of this study shows that technological innovation performance not only depends on the input of innovation factors, but also be affected by the allocation efficiency of innovation factors. In order to promote the economy's high-quality development in the Yangtze River Delta region, the government need not only pay attention to the input of innovation factors, but also pay more attention to improve the allocation efficiency of innovation factors.
技术创新是区域经济高质量发展的重要推动力，而确定改善要素禀赋状况和配置效率的方法是提高区域技术创新绩效的关键。考虑到技术进步的动态条件，我们使用超越对数生产函数实证研究了 2000-2017 年长三角地区技术创新要素投入的禀赋条件和配置效率，以探讨创新要素对技术创新绩效的交互机制。结果表明：第一，长三角地区的三个创新要素——创新人力资本投资、研发（R&D）资金投资和固定资产投资——对技术创新绩效产出均呈正向贡献，但安徽省与江苏省、浙江省和上海市之间存在明显差距。在这三个因素中，R&D 资金投资的贡献率相对较高，技术创新依赖于 R&D 资金投资。第二，长三角地区技术创新要素的偏向技术进步呈增长趋势，所有三个创新要素的配置效率均不断提高。从高到低的配置效率的省份顺序是江苏省、上海市、浙江省和安徽省；浙江省的改进速度最快。最后，江苏省、浙江省和上海市的三个创新要素的替代弹性系数均大于零。技术创新要素的投入比例结构与区域技术进步相匹配。技术创新处于有效的经济范围内，但固定资产投资要素相对充裕，要素配置结构仍有改进空间。在安徽省，2000-2012 年创新人力资本投资和创新 R&D 资金投资的替代弹性小于零，要素配置结构使安徽省的技术创新产出处于非经济范围，这是阻碍该省技术创新绩效产出的内部因素。这与长三角地区创新要素的投入和贡献率不一致。本研究结果表明，技术创新绩效不仅取决于创新要素的投入，还受到创新要素配置效率的影响。为了促进长三角地区经济的高质量发展，政府不仅需要关注创新要素的投入，还需要更加注重提高创新要素的配置效率。
