INNOVATION, INNOVATION POLICIES, AND REGIONAL DEVELOPMENT IN CHINA
INNOVATION, INNOVATION POLICIES, AND REGIONAL DEVELOPMENT IN CHINA
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DOI：
10.1080/00167428.2019.1684194
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发表时间：
2019-12
影响因子：
2
通讯作者：
Dandan Li;Y. Wei;C. Miao;Wen Chen
中科院分区：
文献类型：
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作者：
Dandan Li;Y. Wei;C. Miao;Wen Chen
摘要 创新政策已成为国家和区域创新体系的重要组成部分。本研究提出了一个框架，从知识和经济效益两方面分析中国的创新政策和产出，重点关注江苏。我们根据地方创新政策的特点，将地方创新政策分为七大类、二十一个小类以及五类国家政策。我们发现，地方主要政策根据经济发展水平的不同存在较大差异，国家政策的空间演化并不同质，主要集中在相对较发达的苏南地区。我们使用向量误差修正模型的分析表明，各种政策对经济产出的时滞效应比对知识产出的时滞效应要长，并且累积的地方政策对两种类型的产出都有显着影响。模型还证实了创新主体、知识产权、人才相关政策对产出的重要作用。最后，调查问卷找出了政策落实不力的原因，如政策意识淡薄、资金支持不足、创新创业生态环境不完善等。我们的研究表明，中国的创新政策有利于较发达地区，这加剧了数字鸿沟和空间两极分化。我们的研究认为，中国的区域创新政策需要更好地整合，应该更多地关注欠发达地区，并提高市场在创新资源配置中的作用。
Abstract Innovation policies have become an important element in national and regional innovation systems. This study presents a framework to analyze innovation policies and outputs, in terms both of knowledge and economic benefits, in China, with a focus on Jiangsu. We classify local innovation policies into seven major categories and twenty-one subcategories as well as five categories of national policies based on their characteristics. We find that main local policies vary largely depending on the level of economic development, and the spatial evolution of national policies is not homogenous, concentrated in the relatively more -developed region of southern Jiangsu (Sunan). Our analysis using a vector error correction model shows that the time lag effect of various policies on economic output is longer than on knowledge output, and cumulative local policies have a significant impact on both types of outputs. The model also confirms the important roles of innovation subjects, intellectual property, and talents related policies on outputs. Last, the questionnaire identifies the reasons for unsatisfactory implementation of policies, such as low level of policy awareness, insufficient financial support, and imperfect innovation and entrepreneurial ecological environment. Our study reveals innovation policies in China favor more-developed regions, which reinforces the digital divide and spatial polarization. Our study suggests that China’s regional innovation policies need to be better integrated, should pay more attention to less-developed regions, and improve the role of the market in the allocation of innovation resources.