长江流域资源与环境 >> 2024, Vol. 33 >> Issue (6): 1123-1139.doi: 10.11870/cjlyzyyhj202406001

• 区域可持续发展 •    下一篇

创新价值链视角下长江经济带绿色创新绩效分解、演化及影响因素研究

程时雄1,2,陈利鹏1,2 ,刘树家1,2   

  1. (1. 湖北大学商学院,湖北 武汉 430062; 2.湖北大学开放经济研究中心,湖北 武汉 430062)
  • 出版日期:2024-06-20 发布日期:2024-06-26

 Decomposotion, Evolution and Influencing Factors of Green Innovation  Performance in the Yangtze River Economic Belt from the Perspective of Innovation Value Chain

CHENG Shi-xiong1,2,CHEN Li-peng1,2 ,LIU Shu-jia1,2   

  1. (1. School of Business,Hubei University,Wuhan 430062,China;2.Open Economy Center, Hubei University,Wuhan 430062,China)
  • Online:2024-06-20 Published:2024-06-26

摘要: 基于创新价值链视角,构建网络SBM模型测度2010~2019年长江经济带沿线108个地级及以上城市的绿色创新绩效,根据创新活动不同阶段将其分解为科技研发绩效与成果转化绩效,利用自然断裂点、泰尔指数、核密度估计等方法探究其时空分异与动态演进特征,运用面板Tobit模型考察其影响因素。结果表明:(1)总体上,长江经济带绿色创新整体绩效、科技研发绩效、成果转化绩效均呈现波动上升趋势,绿色创新整体绩效、科技研发绩效呈“两头高、中间低”的分布格局,而成果转化绩效呈“下-中-上游”递减的空间布局。(2)空间差异上,绿色创新及子阶段绩效的区域差异均表现为波动下降态势,且差异呈现绿色创新整体绩效<成果转化绩效<科技研发绩效的结构特征。(3)动态演进上,绿色创新整体及子阶段绩效均存在两极分化现象,且分化程度为科技研发绩效<绿色创新整体绩效<成果转化绩效。(4)因素分析表明,创新支持、产业结构、环境规制对绿色创新及子阶段绩效均有显著影响,知识产权保护、企业规模、人力资本、城镇化对绿色创新绩效的影响存在明显的阶段性差异。研究结果为促进长江经济带城市绿色创新绩效提升及区域协同发展提供了决策参考。

Abstract: Existing studies on the performance of green innovation in the Yangtze River Economic Belt mostly treat it as a "black box" for analysis, but often ignore the different stages of its innovation process. Based on the innovation value chain perspective, the green innovation activities were divided into two stages: research and development of science and technology and transformation of achievement. A network SBM model was constructed to measure the total green innovation performance and sub-stage performance of 108 cities at prefecture level and above along the Yangtze River Economic Belt from 2010 to 2019. The spatial and temporal divergence and dynamic evolution characteristics were explored using natural break points, Theil index, and kernel density estimation. The panel Tobit model was used to examine the influencing factors. The results showed that: (1) in general, the total green innovation performance, science and technology R&D performance and achievement conversion performance in Yangtze River Economic Belt all showed a fluctuating upward trend, and the total performance of green innovation and R&D performance showed a distribution pattern of "high at both ends and low in the middle", while the performance of results transformation showed a decreasing spatial pattern of "down-middle-up". The spatial layout of "down-middle-upstream" decreased. (2) In terms of spatial differences, the regional differences of total green innovation performance and sub-stage performance showed a fluctuating downward trend, and the differences showed the structural characteristics of total green innovation performance < achievement conversion performance < science and technology R&D performance. (3) In terms of dynamic evolution, the total performance and sub-stage performance of green innovation were polarized, and the degree of polarization was that science and technology R&D performance < total green innovation performance < achievement conversion performance. (4) Factor analysis showed that innovation support, industrial structure, and environmental regulation had significant effects on green innovation and sub-stage performance, and there were obvious stage differences in the effects of intellectual property protection, enterprise scale, human capital, and urbanization on green innovation performance. These results provide a reference for decision making to promote green innovation performance enhancement and regional synergistic development in the Yangtze River Economic Belt.

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