政府支持对高技术产业绿色创新效率的影响研究

doi:10.13776/j.cnki.resourcesindustries.20221028.001

资源与产业 ›› 2022, Vol. 24 ›› Issue (6): 64-74.DOI: 10.13776/j.cnki.resourcesindustries.20221028.001

政府支持对高技术产业绿色创新效率的影响研究

徐敏¹，周婷婷¹，王凌²，许晶荣³

（1.河海大学商学院，江苏南京 211100；2.南京财经大学粮食和物资学院，江苏南京 210000；3.江苏第二师范学院商学院，江苏南京 210000）

收稿日期:2021-06-28 修回日期:2022-08-15 出版日期:2022-12-20 发布日期:2023-02-21
通讯作者: 周婷婷，硕士生，主要从事区域经济研究。E-mail：1228011931@qq.com
作者简介:徐敏，博士、讲师，主要从事产业经济研究。E-mail：larkxumin@126.com
基金资助:
江苏省研究生科研与实践创新计划（KYCX18-0511）；中央高校基本科研业务费专项资金项目（2018B709X14）

Impacts of governmental supports on green innovative efficiency of high-tech industries

IMPACTS OF GOVERNMENTAL SUPPORTS ON GREEN INNOVATIVE EFFICIENCY OF HIGH-TECH INDUSTRIES

XU Min¹, ZHOU Tingting¹, WANG Ling², XU Jingrong³

(1.Business School, Hohai University, Nanjing 211100, China；2.Institute of Food and Strategic Reserves, Nanjing University of Finance and Economics, Nanjing 210000, China；3.Business School, Jiangsu Second Normal University, Nanjing 210000, China)

Received:2021-06-28 Revised:2022-08-15 Online:2022-12-20 Published:2023-02-21

摘要/Abstract

摘要：

在绿色发展的时代背景下，绿色创新是高技术产业的重要特征，政府支持是高技术产业进行绿色创新活动的重要支撑。由于以往研究对于政府支持与绿色创新效率之间的作用关系存在争议，且缺乏相关的地区差异性及其作用机制研究。针对以上不足，本文基于中国高技术产业省级面板数据，首先利用DEA模型测算出2009—2020年我国28个省、自治区、直辖市的绿色创新效率，并运用全局莫兰指数检验高技术产业绿色创新效率的空间自相关性；其次，通过选取混合固定效应空间滞后模型开展了政府支持对高技术产业绿色创新效率的影响作用研究，并采用变量替换的方法进行了稳健性检验；最后，对我国东部、中部、西部地区分区域开展了政府支持对高技术产业绿色创新效率影响作用的回归分析，以及对政府支持内部作用机制的考查。研究结果表明：1）2009—2020年我国高技术产业绿色创新效率均值从0.511提升至0.611，呈现出逐步上升趋势，东部地区的绿色技术创新效率高于全国均值，中西部地区相对偏低。依据莫兰指数检验显示，2009—2020年我国高技术产业绿色创新效率在空间权重矩阵下均表现出较强的正空间相关性。2）政府支持与高技术产业绿色创新效率存在着显著的倒U型关系，环境规制、经济效益、外商直接投资等变量均对绿色创新效率具有正面影响。3）政府支持对高技术产业绿色创新效率的影响作用在东部和中西部地区存在着一定差异，需要具体问题具体分析。4）政府支持对绿色创新效率具有信号作用，且与企业研发投入呈现显著的倒U型关系。为了充分发挥政府支持对高技术产业绿色创新效率的促进作用，政府必须根据高技术产业的实际发展情况制定合理的补贴区间，并遵循因地制宜原则，针对不同地区、不同产业、不同生态环境制定切实可行的政府支持政策。

关键词: 政府支持, 高技术产业, 绿色创新效率, 区域差异, 创新投入

Abstract:

Green innovation marks the high-tech industries under green development background, which needs governmental supports. Disagreement exists in the research of the relation between governmental supports and green innovative efficient, and insufficient studies on regional differences and mechanism. This paper, based on China’s provincial panel data of high-tech industries, uses DEA model to measure their 2009 to 2020 green innovative efficiencies of China’s 28 provinces, autonomous regions and municipalities, and applies the Global Moran’s Index to check the spatial autocorrelation of the green innovative efficiency of high-tech industries. Mixed fixed effects spatial lag model is employed to analyze the impacts of governmental supports on high-tech’s green innovative efficiencies, and the robustness test is carried out using the method of variable replacement. The regression analysis on the impacts of government supports on green innovation efficiency of high-tech industries has been carried out in the eastern, central and western regions of China to assess internal mechanism of governmental supports. China’s average values of green innovative efficiency of high-tech industries has risen to 0.611 from 0.511 during 2009 to 2020, with eastern higher the national average, and central and western lower. According to the Moran index test, the green innovation efficiency of China’s high-tech industry shows strong positive spatial correlation under the spatial weight matrix from 2009 to 2020. Governmental supports show an outstanding inverted U-shaped relation with green innovative efficiency of high-tech industries, which is positively contributed by environmental regulations, economic performance and foreign direct investment. Impacts of governmental supports vary with eastern, central and western. Governmental supports cast a directive role on green innovative efficiency, displaying an obvious inverted U-shaped relation with enterprises’ research & development investments. This paper presents suggestions that governments make appropriate subsidy range according to high-tech’s actual situation, with supportive policies varying with regions, industries and eco-environments.

Key words:

governmental supports, high-tech industries, green innovative efficiency, regional variance, innovative investment

中图分类号:

徐敏, 周婷婷, 王凌, 许晶荣.

政府支持对高技术产业绿色创新效率的影响研究 [J]. 资源与产业, 2022, 24(6): 64-74.

XU Min, ZHOU Tingting, WANG Ling, XU Jingrong.

Impacts of governmental supports on green innovative efficiency of high-tech industries

IMPACTS OF GOVERNMENTAL SUPPORTS ON GREEN INNOVATIVE EFFICIENCY OF HIGH-TECH INDUSTRIES [J]. Resources & Industries, 2022, 24(6): 64-74.

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政府支持对高技术产业绿色创新效率的影响研究

Impacts of governmental supports on green innovative efficiency of high-tech industries

IMPACTS OF GOVERNMENTAL SUPPORTS ON GREEN INNOVATIVE EFFICIENCY OF HIGH-TECH INDUSTRIES

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