以“双创”政策为代表的系列政策是围绕特定主题制定和实施的复杂政策体系,本文提出政策组合效应是影响系列政策有效性的关键问题。利用模糊集定性比较分析(fsQCA)方法对2009-2018年我国“双创”政策样本的研究结果显示,高有效性的政策组合构型可归纳为环境平衡型、供给推动型和需求拉动型,且这三种政策组合分别与我国东、中、西部地区的政策效果匹配。对于政策组合效应的主要启示包括:(1)政策工具组合通过叠加方式更能提升政策效果;(2)政策区位组合的有效构型差异较大,政策制定要做到差异化供给;(3)政策时序组合方面则体现出政策连续性和政策创新性的不同适用性,需结合不同政策工具和适用地区具体施策。本研究为系列政策的制定、实施和评价提供新的思路。
Abstract
The "Innovation and Entrepreneurship" series policies ("I&E series policies") in China are a set of complex policy systems formulated and implemented under specific themes. This paper uses the policy mixture effect to explain the effectiveness of series policies. We try to find out the types of efficient policy mix and provide references for policy makers. Based on the literature reviews, we conclude the policy mix effect into three dimensions, which are named as the policy tool mix effect, the policy area mix effect and the policy time mix effect. These three policy mix effects may better explain how the I&E series policies are working as combination and come to be an efficient policy outcome, including both higher level of innovation intensity and entrepreneurial involvement.
This paper collects 156 "Innovation and Entrepreneurship" policies in China from the year of 2009 to 2018, and uses the text analysis method to quantify the collected policy texts from four dimensions: policy tool, policy goal, policy detail and policy continuity. Then we explore the policy mix effect by using the method of fuzzy set Qualitative Comparative Analysis (fsQCA). The results show that there are three kinds of policy mixtures that lead to high level of policy effectiveness, which are named as environmental-balanced type, supply-push type and demand-pull type. These three paths are separately matched with the developed and developing areas in China, which are generally divided as the eastern, central and western regions of China.
The policy mix effect is mainly reflected in the following aspects: (1) In all effective configurations, three types of policy tools are used in a balanced way, and the combination of supply and demand-based policy tools accounts for a large proportion. The superposition of two or more policy tools can improve the policy effectiveness. In addition, the combination of policy tools, innovation and entrepreneurship goals can be considered as the motivation of innovation and entrepreneurship. (2) The effective configurations vary in different regions of China, and the policy differentiation supply should be realized in different developing and developed areas. In particular, for enterprises in the eastern region, the policy should focus on providing a continuous and stable business environment; For the central region, policy makers should pay attention to pulling up the demand and stimulating the market vitality; For the western region, the key work is about supply promotion, such as financial support, talent introduction, etc., When making policies, we should set clear policy objectives and strive to promote the coordinated development of the western region. (3) Attention should be paid to the different configurations of policy continuity when considering the policy mix effect throughout the time, and specific policies need to be implemented according to different policy tools and applicable regions. Specifically, if all three kinds of policy tools are used in combination, they should be continued with similar policies in recent years. On the other hand, if we focus on a certain type of policy tool or a specific policy goal, the previous policies should not be over repeated and relied on. This study provides new ideas for the formulation, implementation and evaluation of national series policies.
关键词
政策评价 /
创业创新 /
系列政策 /
政策组合效应 /
fsQCA
Key words
policy evaluation;entrepreneurship and innovation /
series policies;policy mix effect /
fsQCA
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1]肖潇,汪涛.国家自主创新示范区大学生创业政策评价研究[J].科学学研究,2015,33(10):1511-1519.
[2]李丹,王欣.政策工具视阈下中国创新驱动发展政策研究[J].中国科技论坛,2017(07):19-27+48.
[3]Valeria Costantini, Francesco Crespi,Alessandro Palma. Characterizing the policy mix and its impact on eco-innovation:A patent analysis of energy-efficient technologies[J]. Research Policy,2017:799-819.
[4]彭纪生,仲为国,孙文祥.政策测量、政策协同演变与经济绩效:基于创新政策的实证研究[J].管理世界,2008(09):25-36.
[5]康捷,袁永,胡海鹏.基于全过程的科技创新政策评价框架体系研究[J].科技管理研究,2019,39(02):25-30.
[6]王凤彬,江鸿,王璁.央企集团管控架构的演进:战略决定、制度引致还是路径依赖?——一项定性比较分析(QCA)尝试[J].管理世界,2014(12):92-114+187-188.
[7]汪涛,谢宁宁.基于内容分析法的科技创新政策协同研究[J].技术经济,2013,32(09):22-28.
[8]张炜,费小燕,肖云,方辉.基于多维度评价模型的区域创新政策评估——以江浙沪三省为例[J].科研管理,2016,37(S1):614-622.
[9]Susana Borrás, Charles Edquist. The choice of innovation policy instruments[J]. Technological Forecasting &Social Change,2013,80(8):1513-1522.
[10]李世超,蔺楠.我国产学研合作政策的变迁分析与思考[J].科学学与科学技术管理,2011,32(11):21-26.
[11]Gregory Trencher,Jeroen van der Heijden. Instrument interactions and relationships in policy mixes: Achieving complementarity in building energy efficiency policies in New York, Sydney and Tokyo[J].Energy Research&Social Science,2019,54(10):34-45.
[12]Marco Guerzoni, Emilio Raiteri. Demand-side vs. supply-side technology policies: Hidden treatment and new empirical evidence on the policy mix[J]. Research Policy,2015,44(3):726-747.
[13]翁银娇,马文聪,叶阳平,张光宇.我国LED产业政策的演进特征、问题和对策——基于政策目标、政策工具和政策力度的三维分析[J].科技管理研究,2018,38(03):69-75.
[14]程华,钱芬芬.政策力度、政策稳定性、政策工具与创新绩效——基于2000-2009年产业面板数据的实证分析[J].科研管理,2013,34(10):103-108.
[15]陈德球,金雅玲,董志勇.政策不确定性、政治关联与企业创新效率[J].南开管理评论,2016,19(04):27-35.
[16]魏喜武,薛霞.创新政策的“力”与“能”:创新政策指数构建维度选择[J].科研管理,2016,37(S1):270-274.
[17]Stefan Sieber. Impact assessment of agri-food policies in Europe: Methods, tools and applications[J]. Journal of Policy Modeling,2010,33(1):1-6.
[18]Manuel Laranja, Elvira Uyarra, Kieron Flanagan. Policies for science, technology and innovation: Translating rationales into regional policies in a multi-level setting[J]. Research Policy,2008,37(5):823-835.
[19]Ruiz Estrada M A,Yap S F,Nagaraj S.Beyond the Ceteris Paribus Assumption: Modeling Demand and Supply Assuming Omnia Mobilis[J].Social Science Electronic Publishing, 2010(2):185-194.
[20]杨雅南,钟书华.政策评价逻辑模型范式变迁[J].科学学研究,2013,31(05):657-665.
[21]Kieron Flanagan, Elvira Uyarra, Manuel Laranja.Reconceptualising the‘policy mix’for innovation[J]. Research Policy,2011,40(5):702-713.
[22]Tobias S. Schmidt, Sebastian Sewerin. Measuring the temporal dynamics of policy mixes–An empirical analysis of renewable energy policy mixes’ balance and design features in nine countries[J]. Research Policy,2018.
[23]Edurne Magro, James R. Wilson. Policy-mix evaluation:Governance challenges from new place-based innovation policies[J]. Research Policy,2018.
[24]Paula Kivimaa,Florian Kern.Creative destruction or mere niche support? Innovation policy mixes for sustainability transitions[J]. Research Policy, 2016,45(1):205-217.
[25]Karoline S.Rogge, Kristin Reichardt. Policy mixes for sustainability transitions: An extended concept and framework for analysis[J]. Research Policy, 2016,45(8).
[26]Vilmos F.Misangyi,Abhijith G.Acharya.Substitutes or Complements?A Configurational Examination of Corporate Governance Mechanisms[J].Academy of Management Journal, 2014, 57(6):1681-1705.
[27]Céline Mavrot, Susanne Hadorn, Fritz Sager. Mapping the mix: Linking instruments, settings and target groups in the study of policy mixes[J]. Research Policy,2018.
[28]Michael Howlett,Jeremy Rayner. Design Principles for Policy Mixes: Cohesion and Coherence in‘New Governance Arrangements’[J]. Policy and Society,2007,26(4):1-18.
[29]郭元源,葛江宁,程聪,段姗.基于清晰集定性比较分析方法的科技创新政策组合供给模式研究[J].软科学,2019,33(01):45-49.
[30]曲婉,冯海红,侯沁江.创新政策评估方法及应用研究:以高新技术企业税收优惠政策为例[J].科研管理,2017,38(01):1-11.
[31]朱桂龙,程强.我国产学研成果转化政策主体合作网络演化研究[J].科学学与科学技术管理,2014,35(07):40-48.
[32]Joanna Tochman Campbell,David G. Sirmon,Mario Schijven.Fuzzy Logic and the Market:A Configurational Approach to Investor Perceptions of Acquisition Announcements[J]. Academy of Management Journal, 2015:163-184.
[33]Charles C. Ragin.The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies[M].University of California Press,2014.
[34]高伟,高建,李纪珍.创业政策对城市创业的影响路径——基于模糊集定性比较分析[J].技术经济,2018,37(04):68-75.
[35]谭海波,范梓腾,杜运周.技术管理能力、注意力分配与地方政府网站建设——一项基于TOE框架的组态分析[J].管理世界,2019(09):33-44.
[36]刘云,黄雨歆,叶选挺.基于政策工具视角的中国国家创新体系国际化政策量化分析[J].科研管理,2017,38(S1):470-478.
[37]彭华涛,谢小三,全吉.科技创业政策作用机理:政策连续性、稳定性及倍增效应视角[J].科技进步与对策,2017,34(21):88-94.
[38]王开阳,沈华,陈锐.国家创新系统中的连接性政策:概念与应用[J].科学学研究,2018,36(03):418-424+445.
[39]Meysam Poorkavoos,Yanqing Duan,John S. Edwards,Ramakrishnan Ramanathan. Identifying the configurational paths to innovation in SMEs: A fuzzy-set qualitative comparative analysis[J]. Journal of Business Research,2016,69(12):5843-5854.
[40]Peer C.Fiss.Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research[J]. Academy of Management Journal, 2011, 54(2):393-420.
[41]杜运周,贾良定.组态视角与定性比较分析(QCA):管理学研究的一条新道路[J].管理世界,2017(06):155-167.
基金
浙江省软科学重点研究项目(2022C25017)。