Analysis of the Spatiotemporal Convergence Effect and Influencing Factors of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt in China

IF 4 3区经济学 Q1 ECONOMICS

Journal of the Knowledge Economy Pub Date : 2024-08-19 DOI:10.1007/s13132-024-02286-0

Meng-Chao Yao, Ren-Jie Zhang, Hui-Zhong Dong

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Abstract

This study aims to explore the spatiotemporal convergence effects of industrial green technological innovation efficiency and its influencing factors to facilitate the transformation of the Yangtze River Economic Belt from a traditional high-pollution, high-emission, and high-energy-consumption industrial model to a green, efficient, and sustainable economic development model. By applying the Super-SBM model, the absolute beta convergence model, the conditional beta convergence model, and the spatial dynamic Durbin model, this study reveals the dynamic changes in industrial green technological innovation efficiency and its influencing factors in the Yangtze River Economic Belt. The research findings are as follows: (1) Regions with lower industrial green technological innovation efficiency can rapidly improve by learning from more efficient regions, demonstrating a significant “catch-up” effect. The upstream and downstream areas exhibit specific spatial dependencies, while the midstream area does not pass the significance level test. (2) The conditional convergence rate is significantly higher than the absolute convergence rate, indicating the presence of spatial conditional convergence in industrial green technological innovation efficiency among different regions. (3) This study further analyzes the impact mechanisms of six factors—enterprise size, industry-university-research cooperation, enterprise R&D level, environmental regulation, energy consumption structure, and foreign direct investment—on industrial green technological innovation efficiency. The results show that these factors have significant differences in their effects. Finally, this study proposes strategies to optimize green technological innovation efficiency, aiming to provide a reference for the Yangtze River Economic Belt and other regions worldwide to achieve high-quality development with green and low-carbon growth.

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中国长江经济带工业绿色技术创新效率的时空聚合效应及影响因素分析

本研究旨在探讨工业绿色技术创新效率的时空收敛效应及其影响因素，以促进长江经济带从传统的高污染、高排放、高耗能工业模式向绿色、高效、可持续的经济发展模式转变。本研究运用超级-SBM 模型、绝对贝塔收敛模型、条件贝塔收敛模型和空间动态杜宾模型，揭示了长江经济带工业绿色技术创新效率的动态变化及其影响因素。研究结论如下(1）工业绿色技术创新效率较低的地区可以通过向效率较高的地区学习而迅速提高，表现出显著的 "赶超 "效应。上下游地区表现出特定的空间依赖性，而中游地区没有通过显著性水平检验。(2）条件收敛率明显高于绝对收敛率，表明不同区域间工业绿色技术创新效率存在空间条件收敛。(3）本研究进一步分析了企业规模、产学研合作、企业研发水平、环境规制、能源消费结构和外商直接投资六个因素对工业绿色技术创新效率的影响机制。结果表明，这些因素的影响存在显著差异。最后，本研究提出了优化绿色技术创新效率的策略，旨在为长江经济带乃至全球其他地区实现绿色低碳的高质量发展提供参考。

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来源期刊

Journal of the Knowledge Economy ECONOMICS-

CiteScore

5.90

自引率

27.30%

发文量

228

期刊介绍： In the context of rapid globalization and technological capacity, the world’s economies today are driven increasingly by knowledge—the expertise, skills, experience, education, understanding, awareness, perception, and other qualities required to communicate, interpret, and analyze information. New wealth is created by the application of knowledge to improve productivity—and to create new products, services, systems, and process (i.e., to innovate). The Journal of the Knowledge Economy focuses on the dynamics of the knowledge-based economy, with an emphasis on the role of knowledge creation, diffusion, and application across three economic levels: (1) the systemic ''meta'' or ''macro''-level, (2) the organizational ''meso''-level, and (3) the individual ''micro''-level. The journal incorporates insights from the fields of economics, management, law, sociology, anthropology, psychology, and political science to shed new light on the evolving role of knowledge, with a particular emphasis on how innovation can be leveraged to provide solutions to complex problems and issues, including global crises in environmental sustainability, education, and economic development. Articles emphasize empirical studies, underscoring a comparative approach, and, to a lesser extent, case studies and theoretical articles. The journal balances practice/application and theory/concepts.