The Evolution of Regional Science and Technology Innovation Policy Synergy in Beijing-Tianjin-Hebei Region:2011—2021
Zhou Nan1, Yang Zhen1, Zhao Xiaoxu1, Chen Peng2
1. College of Economics and Management,Tianjin University of Science and Technology,Tianjin 300457,China; 2. School of Artificial Intelligence,Hebei University of Technology,Tianjin 300401,China
Abstract:This paper quantifies 461 policy texts of science and technology innovation policies in the Beijing-Tianjin-Hebei region from 2011 to 2021 in terms of policy objectives,policy instruments and policy strength,and constructs a two-dimensional element-system analysis framework based on the core viewpoint of synergism.In the elements dimension,the paper use state synergy model to calculates the synergy between policy objectives and policy instruments.In the system dimension,the coupled coordination model is used to measure the coordination level of policy effectiveness of the Beijing-Tianjin-Hebei policy subsystem set and the whole system.It is found that among the policy objectives,innovation,transformation of scientific and technological achievements,talent and technology introduction and intellectual property protection are highly synergistic and have a stable synergy between two of them.While the synergy between digestion and absorption and other policy objectives is insufficient and the degree of synergy fluctuates widely.Among the policy tools,demand-oriented policy tools are underused and the synergy effect between demand-supply policy synergy is unsatisfactory.However,they synergize well with environment-oriented policy tools.In the subsystem set,the coupling coordination levels of Beijing-Tianjin,Beijing-Hebei,and Tianjin-Hebei entered a stable development stage successively from 2015 to 2017,among which Beijing-Tianjin and Tianjin-Hebei are in the moderate coordination range,Tianjin-Hebei is in the barely coordinated range.In the overall system,the comprehensive coordination levels of Beijing-Tianjin-Hebei have more room for improvement.The analysis is beneficial to further optimize the science and technology innovation policy system,thus helping to promote regional science and technology innovation synergy towards deeper development.
[1]龚花萍,张小斌,周江涌.面向区域科技创新的竞争情报服务平台绩效评价研究[J].现代情报,2022,42 (3):57-65. [2]段永彪,郑烨,任由果.科技创新政策的政府注意力演变与启示:基于1978—2021年中央政府工作报告的文本分析[J].中国科技论坛,2022 (7):1-11. [3]SYMEONIDIS G.Downstream merger and welfare in a bilateral oligopoly[J].International journal of industrial organization,2010,28 (3):230-243. [4]赫尔曼·哈肯.协同学:大自然构成的奥秘[M].凌复华,译.上海:上海译文出版社,2013. [5]刘磊,张永强,周千惠.政策协同视角下对我国征收碳税的政策建议[J].税务研究,2022 (3):121-126. [6]LI W,LONG R,CHEN H.Consumers'evaluation of national new energy vehicle policy in China:an analysis based on a four paradigm model[J].Energy policy,2016,99:33-41. [7]METCALFE L.International policy co-ordination and public management reform[J].International review of administrative sciences,1994,60 (2):271-290. [8]MIENKOWSKÁ-NORKIEN·E R.Efficiency of coordination of European policies at domestic level-challenging polish coordination system[J].Procedia-social and behavioral sciences,2014,143:867-871. [9]HUGHES C E,RITTER A,MABBITT N.Drug policy coordination:identifying and assessing dimensions of coordination[J].International journal of drug policy,2013,24 (3):244-250. [10]兰梓睿.中国可再生能源政策效力、效果与协同度评估:基于1995—2018年政策文本的量化分析[J].大连理工大学学报 (社会科学版),2021,42 (5):112-122. [11]郭淑芬,赵晓丽,郭金花.文化产业创新政策协同研究:以山西为例[J].经济问题,2017 (4):76-81. [12]樊霞,陈娅,贾建林.区域创新政策协同:基于长三角与珠三角的比较研究[J].软科学,2019,33 (3):70-74,105. [13]张炜,费小燕,肖云,等.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. [14]VINOKUROV E,DEMIDENKO M,KORSHUNOV D,et al.Customs unions,currency crises,and monetary policy coordination:the case of the Eurasian Economic Union[J].Russian journal of economics,2017,3 (3):280-295. [15]刘晓燕,侯文爽,单晓红,等.多层级视角下京津冀科技创新政策府际关系研究[J].科技进步与对策,2019,36 (8):115-123. [16]周环,幸强国,唐泳.基于政策文本计算的数据开放与隐私保护政策协同度研究[J].图书馆论坛,2021,41 (11):118-127. [17]张国兴,高秀林,汪应洛,等.中国节能减排政策的测量、协同与演变:基于1978—2013年政策数据的研究[J].中国人口·资源与环境,2014,24 (12):62-73. [19]杨佳雯,赵志耘,高芳,等.基于文本量化分析的中国省级人工智能政策布局研究[J].现代情报,2022,42 (7):125-135. [20]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 (9):25-36. [21]ROTHEWELL R,ZEGWELL W.Industrial innovation and public policy:preparing for the 1980s and 1990s[M].London:Frances Printer,1981. [22]李丽,陈佳波,李朝鲜,等.中国服务业发展政策的测量、协同与演变:基于1996—2018年政策数据的研究[J].中国软科学,2020 (7):42-51. [23]何源,乐为,郭本海. “政策领域-时间维度”双重视角下新能源汽车产业政策央地协同研究[J].中国管理科学,2021,29 (5):117-128. [24]杨慧.基于耦合协调度模型的京津冀13市基础设施一体化研究[J].经济与管理,2020,34 (2):15-24.