中国工业绿色化协同创新生产的动态空间计量
石风光1，周明2，许彬3
（1.宿迁学院 管理学院，江苏 宿迁223800；
2.东华理工大学 经济与管理学院，江西 南昌330000；
3. 宿迁学院 图书馆，江苏 宿迁223800）
摘要：为揭示中国工业协同创新投入对绿色化协同创新产出的空间影响效应，本文在采用动态空间误差模型进行初步分析的基础上，进一步以市场化水平为门限变量，进行动态空间门限回归。结果表明，协同创新资本对绿色化协同创新产出具有显著的倒“U”型效应，但随着市场化水平的提高，其倒“U”型效应会逐渐减弱；在市场化处于较低水平时，协同创新人员对绿色化协同创新产出具有显著的倒“U”型效应，但随着市场化水平的提高，其倒“U”型效应会转变为“U”型效应，并且“U”型效应也会随市场化水平的进一步提高而呈现弱化趋势；协同创新资本和协同创新人员这两种创新投入要素的交互作用对绿色化协同创新产出不具有显著的门限效应。本文研究结论有助于厘清协同创新投入对绿色化协同创新产出的作用机制，为提高地区绿色化协同创新能力和绩效提供了重要的政策借鉴。
关键词：绿色化协同创新；超越对数生产函数；动态空间门限模型；动态空间GMM
本文基于2010—2017年的中国工业协同创新投入产出数据，利用动态空间模型考察了协同创新投入对绿色化协同创新产出的影响效应。研究结论如下：（1）中国省份工业绿色化协同创新产出的Moran I指数散点图以及差分GMM回归残差的莫兰指数均表明，中国省份工业绿色化协同创新具有显著的正向空间溢出效应。（2）通过比较发现，经济联动矩阵下的DSEM地区固定效应回归效果较好，其回归结果显示，协同创新资本对绿色化协同创新产出具有显著的倒“U”型效应，协同创新人员对绿色化协同创新产出则具有不显著的“U”型效应，协同创新资本和协同创新人员的交互作用对绿色化协同创新产出会产生显著的复合效应。（3）动态空间门限模型结果显示，中国工业协同创新投入对绿色化协同创新产出具有显著的双门限效应。当市场化水平跨越两个门限值后，协同创新资本的倒“U”型效应会呈现逐渐减弱趋势；在市场化水平的第一个门限值以下，协同创新人员对绿色化协同创新产出具有显著倒“U”型效应，超过第一个门限值后，则转变为显著的“U”型效应，并且这种效应会随着市场化水平跨越第二个门限值后呈现减弱趋势；协同创新资本和协同创新人员对绿色化协同创新产出的交互作用不存在门限效应。各种稳健性检验均支持上述结论。
Dynamic spatial measurement of the production of China′s industry with green collaborative innovation
Shi Fengguang1, Zhou Ming2, Xu Bin3
(1. School of Management, Suqian University, Suqian 223800, Jiangsu,China;
2. School of Economics and Management, East China University of Technology, Nanchang 330000, Jiangxi, China;
3. Library of Suqian University, Suqian 223800, Jiangsu,China)
Abstract:At present, the economic and social ties among regions are becoming closer and closer. Studying the mechanism and reasons of collaborative innovation input on green collaborative innovation output from a dynamic and spatial perspective is very important to improve the ability and efficiency of green collaborative innovation and realize green transformation and development.
This paper used the input and output data of industrial collaborative innovation in 30 provincial-level regions in China from 2010 to 2017 to conduct the research. Firstly, this paper estimated the green collaborative innovation output of industrial enterprises above designated size, the capital stock of collaborative innovation materials and the full-time equivalent of collaborative innovation personnel. Then, the spatial measurement based on transcendental logarithm production function was carried out by using economic distance matrix, human capital matrix, innovation infrastructure matrix and economic linkage matrix.
The results show that: (1) the Moran I index scatter diagram of China′s provincial industrial green collaborative innovation output and the Moran index of differential GMM regression residual show that China′s provincial industrial green collaborative innovation has a significant positive spatial spillover effect. (2) The LM Test under the economic distance matrix, human capital matrix, innovation infrastructure matrix and economic linkage matrix shows that the dynamic spatial error model is more suitable than the dynamic spatial lag model when studying the green collaborative innovation production of China′s provincial industries. (3) Through comparison, it is found that the regression effect of regional fixed effect of DSEM under the economic linkage matrix is better. The regression results show that collaborative innovation capital has a significant inverted "U" effect on the output of green collaborative innovation, while collaborative innovation personnel have a non-significant "U-shaped" effect on the output of green collaborative innovation, The interaction between collaborative innovation capital and collaborative innovation personnel will have a significant compound effect on the output of green collaborative innovation. (4) Further, the dynamic spatial threshold regression with the marketization level as the threshold variable is carried out. The results show that the collaborative innovation capital has a significant inverted "U-shaped" effect on the output of green collaborative innovation, but its inverted "U-shaped" effect should gradually weaken with the improvement of the marketization level. When marketization is at a low level, collaborative innovation personnel have a significant inverted "U-shaped" effect on the output of green collaborative innovation, but with the improvement of marketization level, its inverted "U-shaped" effect will change into "U-shaped" effect, and its "U-shaped" effect will weaken with the further improvement of marketization level. The interaction of collaborative innovation capital and collaborative innovation personnel has no significant threshold effect on the output of green collaborative innovation. (5) Through dynamic spatial threshold effect test of the introduction of time trend, in sub regions and dynamic spatial GMM test in sub regions, it is found that the symbol and change trend of model parameters are basically consistent with the benchmark regression results, which shows that the research conclusion of this paper has good robustness.
The research conclusion of this paper helps to clarify the action mechanism of collaborative innovation input on green collaborative innovation output, and provides an important policy reference for improving the ability and performance of regional green collaborative innovation.
Key words:green collaborative innovation; transcendental logarithmic production function; dynamic spatial threshold model; dynamic space GMM
引用本文：石风光,周明,许彬.中国工业绿色化协同创新生产的动态空间计量[J].科研管理,2023,44(7):60-72.
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