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科技金融对中国绿色全要素生产率的影响:基于实证空间杜宾模型的洞察

Effects of Science and Technology Finance on Green Total Factor Productivity in China: Insights from an Empirical Spatial Durbin Model.

作者信息

Lu Ying, Ahmad Mahmood, Zhang Haotian, Guo Jingxian

机构信息

Business School, Shandong University of Technology, Zibo, 255000 China.

出版信息

J Knowl Econ. 2023 May 19:1-27. doi: 10.1007/s13132-023-01306-9.

Abstract

Undoubtedly, science and technology (sci-tech) finance plays a vital role in promoting innovation and industrial structure. Sci-tech finance may also affect green total factor productivity (GTFP). However, the research that integrates sci-tech finance and GTFP in the same environmental policy framework is still scant. In this context, the spatial spillover effect and mechanism of the impact of sci-tech finance on GTFP were empirically analyzed using the panel data of 30 provinces in China from 2010 to 2020. The slacks-based measure (SBM) model of non-expected output and the GML index were used to measure the GTFP, and the entropy weight method was used to measure the development level of sci-tech finance in each province. The results unveil that sci-tech finance and GTFP in China have significant spatial autocorrelation and spatial disequilibrium; the positive driving effect of sci-tech finance on GTFP has a significant spatial spillover effect. The mechanism test finds that sci-tech finance enhances local GTFP by expanding R&D expenditures and optimizing industrial structure, and the spatial spillover effect of sci-tech finance on GTFP in neighboring regions is realized by expanding R&D expenditures in neighboring regions. The heterogeneity test found that sci-tech finance has a significant positive effect on GTFP in the eastern region, an insignificant positive effect on the central regions, and a significant negative effect on the western and northeastern regions. Therefore, regional collaboration alliances should be established to fully play the spatial effect of sci-tech finance and enhance GTFP.

摘要

毫无疑问,科技金融在促进创新和产业结构调整方面发挥着至关重要的作用。科技金融也可能影响绿色全要素生产率(GTFP)。然而,在同一环境政策框架下将科技金融与绿色全要素生产率相结合的研究仍然很少。在此背景下,利用2010年至2020年中国30个省份的面板数据,对科技金融对绿色全要素生产率影响的空间溢出效应及作用机制进行了实证分析。采用非期望产出的基于松弛测度(SBM)模型和GML指数来测度绿色全要素生产率,运用熵权法测度各省份科技金融发展水平。结果表明,中国的科技金融与绿色全要素生产率存在显著的空间自相关性和空间不均衡性;科技金融对绿色全要素生产率的正向驱动效应具有显著的空间溢出效应。机制检验发现,科技金融通过扩大研发支出和优化产业结构来提高本地绿色全要素生产率,科技金融对邻近地区绿色全要素生产率的空间溢出效应是通过扩大邻近地区的研发支出实现的。异质性检验发现,科技金融对东部地区的绿色全要素生产率有显著的正向影响,对中部地区有不显著的正向影响,对西部和东北地区有显著的负向影响。因此,应建立区域合作联盟,充分发挥科技金融的空间效应,提高绿色全要素生产率。

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