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全面创新改革试验对区域创新能力的影响效应与传导机制
引用本文:林寿富,董小卿.全面创新改革试验对区域创新能力的影响效应与传导机制[J].科技进步与对策,2022,39(2):91-100.
作者姓名:林寿富  董小卿
作者单位:(福建师范大学 经济学院,福建 福州 350007)
基金项目:国家社会科学基金一般项目(20BJL139)
摘    要:将2015年开始的全面创新改革试验作为一项准自然试验,构建双重差分模型,基于2008-2018年中国内地31个省份面板数据,实证评估全面创新改革试验对区域创新能力的影响效应。进一步,构建中介效应模型,从财政手段和金融手段两条路径实证检验全面创新改革试验对区域创新能力的传导机制。结果发现:全面创新改革试验能够显著提升试验区创新能力,这一结论在经过平行趋势检验与安慰剂检验后仍然稳健。经济发展水平、技术市场活跃度、人力资本水平和产业结构均对区域创新能力具有显著正向影响,但经济开放度的影响效应不显著。此外,全面创新改革试验通过财政手段和金融手段有效提升试验区创新能力。未来,政府应加大对科技创新活动的支持力度,提高财政研发投入,加快科技与金融结合步伐,不断促进各创新要素集聚与协同。

关 键 词:全面创新改革试验  双重差分模型  区域创新能力  影响效应  传导机制  
收稿时间:2020-11-27

Research on The Effect of Comprehensive Innovation Reform Experiment on Regional Innovation Capability and Its Transmission Mechanism
Lin Shoufu,Dong Xiaoqing.Research on The Effect of Comprehensive Innovation Reform Experiment on Regional Innovation Capability and Its Transmission Mechanism[J].Science & Technology Progress and Policy,2022,39(2):91-100.
Authors:Lin Shoufu  Dong Xiaoqing
Institution:(School of Economics, Fujian Normal University, Fuzhou 350007,China)
Abstract:Innovation is the first driving force leading China's economic transformation and development and a strong support for improving social productivity and comprehensive national strength. It has been a focus of great concern from all sectors of society. At present, although China has made remarkable achievements in the transformation of the driving force of economic development and the construction of an innovative country, it is inevitable that there are still problems such as mismatched policy coordination, single decision-making mechanism and unbalanced regional innovation development. Therefore, how to strengthen the modernization of the national innovation governance system and governance capacity is still one of the important issues that government departments must study and tackle. The construction of regional innovation system is of great significance to improve the national innovation governance system and the modernization of governance capacity. In order to better promote the construction of regional innovation system, China has set up eight "comprehensive innovation and reform pilot zones" across administrative regions in Beijing, Tianjin, Hebei, Shanghai, Guangdong, Anhui, Sichuan, Wuhan, Xi'an and Shenyang, striving to explore a policy innovation experience with regional radiation and replicable promotion. 2019 is the "closing year" of the first round of comprehensive innovation reform experiment. It is necessary to evaluate the effect of the whole innovation reform experiment, especially whether it can significantly promote the innovation ability of the experimental area and regional innovation ability.The robustness of the results was tested by parallel trend test and placebo test. Furthermore, the paper constructs the mediating effect model and empirically analyzes the transmission mechanism of comprehensive innovation reform experiment on regional innovation ability from two paths of fiscal means and financial means.#br#The results show that the first round of comprehensive innovation reform test significantly promoted the improvement of the innovation ability of the test area, which provides a strong empirical support for promoting a new round of comprehensive innovation reform test in China. At the same time, economic development level, technology market activity, human capital level and industrial structure have significant positive effects on the improvement of regional innovation ability, but the impact of economic openness on regional innovation ability is not significant. Finally, the whole innovation and reform experiment can effectively improve the innovation ability of the experimental area through fiscal and financial means. However, it should be pointed out that in addition to fiscal and financial means, the whole innovation and reform experiment may also promote the improvement of regional innovation ability through other ways. In the future, research needs to be expanded to fully investigate the role of the whole innovation and reform experiment on regional innovation ability through information technology policy, government procurement policy, talent policy and income distribution policy.#br#The innovation of this paper is mainly reflected in the following aspects. Firstly we evaluate the effect of government participation in regional innovation activities from a macro perspective. #br#Previous studies have mostly investigated the impact of the government's participation in regional innovation activities from a micro perspective. This will cause the regional innovation system to be segmented into many independent enterprises while ignoring the dissemination of internal knowledge and its externalities. Hence it will be difficult to judge the overall impact of government behavior on regional innovation activities. Secondly, we quantitatively evaluate the effectiveness of the whole innovation reform experiment. This is different from the qualitative evaluation methods such as file research and public opinion analysis. The qualitative method lacks the stripping and evaluation of the net effect of the reform test, and the difference-in-difference method used in this paper can effectively control the impact of other variables on the implementation effect of the whole innovation reform test, better evaluate the net effect of the whole innovation reform test, and ensure the reliability and stability of the research conclusion.Thirdly, it deeply explores the transmission mechanism of the whole innovation reform experiment to regional innovation ability. This paper constructs an intermediary effect model, and empirically studies the transmission path of the whole innovation reform experiment on regional innovation ability from two aspects of fiscal means and financial means, which provides a theoretical basis and practical reference for policymakers to better summarize the pilot experience and accurately implement policies.#br#
Keywords:Comprehensive Innovation Reform Experiment  Difference-in-Difference Model  Regional Innovation Ability  Influencing Effect  Transmission Mechanism  
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