How to get evidence? The role of government-business interaction in evidence-based policy-making for the development of Internet of Things industry in China

被引:4
|
作者
Tian, Zhilong [1 ]
Shi, Jun [2 ]
Hafsi, Taieb [3 ]
Tian, Bowen [4 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Management, Dept Business Adm, Wuhan, Peoples R China
[2] South Cent Univ Nationalities, Sch Management, Dept Business Adm, Wuhan, Peoples R China
[3] HEC Montreal, Int Strateg Management, Montreal, PQ, Canada
[4] Zhongnan Univ Econ & Law, Sch Business Adm, Dept Econ & Trade, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
Emerging industry; policy-making processes; government-business interactions; evidence-based policy; NATIONAL POLICY; COEVOLUTION;
D O I
10.1080/01442872.2016.1161180
中图分类号
C93 [管理学]; D035 [国家行政管理]; D523 [行政管理]; D63 [国家行政管理];
学科分类号
12 ; 1201 ; 1202 ; 120202 ; 1204 ; 120401 ;
摘要
This paper provides theoretical bases and a framework to describe the incremental process of macro-level innovation policy-making for emerging industry in China and the role of government-business (G-B) interactions in generating policy-making evidence. By analyzing the decision-making processes of three macro-level innovation policies for the Internet of Things as a mode of industry development, the paper finds that the macro-level innovation policy-making resulted from a gradual sub-issue solving in each of several sub-processes. The specific micro-level policy tools are formed and implemented through G-B interactions to generate evidence, and these processes are gradual and incremental, helping policy-makers to overcome the high levels of uncertainties in emerging industry development. Five interactive approaches in this research are identified: inspections, investigations, soft lobbying, conferences, and cooperation. The patterns of interactions vary with the nature of the innovation policies. Our findings contribute to the evidence-based policy-making perspective, by clarifying the innovation policy-making sub-process and the evidence-generating mechanism of G-B interactions in dealing with emerging industry development uncertainties.
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页码:1 / 20
页数:20
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