|
|
|
| Evaluation and Obstacle Diagnosis of Innovation Vulnerability of National High-tech Zones |
| Xie Jialong1,2,Zhou Wenting1 |
| (1.School of Management, South-Central Minzu University, Wuhan 430074, China;2.Center for Product Innovation Management of Hubei, Wuhan 430070, China) |
|
|
|
|
Abstract After more than 30 years of development, the national high-tech zone has realized the strategic transformation of “industrial park - science and technology park-innovative economy”, and has become a cross-regional wealth cohesion and innovation factor diffusion center and a highland of talents, technology, industry and capital to implement the independent innovation strategy with Chinese characteristics, and it is the core carrier of China's construction of an innovative country. However, in the context of globalization, problems such as technology bottlenecks in key industries, low technology intensity of high-tech industries, integration obstacles of industries and cities, serious homogeneous competition and insufficient radiation prevail. In order to explore effective ways to improve the fragility of the innovation system in China's high-tech zones, it is urgent to establish a set of scientific and systematic evaluation models and index systems to measure and evaluate the innovation vulnerability of high-tech zones, so as to target the weak links and achieve sustainable and high-quality development of the high-tech zones.#br#To this end,this paper systematically combs the research results on vulnerability at home and abroad, and finds that there are few innovative evaluation studies from the perspective of vulnerability, and the sample coverage needs to be improved. Therefore,this paper defines the concept of innovation vulnerability in high-tech zones at the theoretical level, and fully considers the internal operation logic of the innovation system of high-tech zones to abstract the PSR correlation model of its driving mechanism. At the empirical level, 147 high-tech zones in China are taken as the research objects. A comprehensive evaluation index system is established, vulnerability is measured at macro and micro levels, and the differentiated segmentation and spatial presentation of results are realized through the Jenks method and ArcGIS. Then the coordination and functional effectiveness of each link of the innovation system of the high-tech zone are analyzed, and the obstacle links and key vulnerability factors of the innovation system are excavated through the obstacle degree model.#br#Through theoretical and empirical analysis, the following conclusions are drawn. First, on the whole, China has successfully created a number of innovation highlands with low innovation vulnerability, but the “Matthew effect” is prominent, and the innovation vulnerability of high-tech zones located at the poles is quite different. Second, from the perspective of each subsystem, the strength of the subsystem is significantly different, and it shows the increasing vulnerability of the innovation system from the coastal to the inland. Third, from the perspective of system coordination, the overall coordination of high-tech zones is good, but some of the high-tech zones established earlier have serious industrial isomorphism, and the location dilemma of inland regions where the innovation system is not coordinated is obvious. Fourth, from the perspective of obstacles, response barriers have become key obstacles, and poor performance in the state of innovation is also an important constraint.#br# According to the above conclusions, in order to achieve high-quality innovation and development, high-tech zones should actively implement the promotion method to narrow the regional difference, make full use of the opportunities brought by knowledge spillover while building an innovation highland with international influence, and help late-developing parks achieve low-vulnerability innovation. It is essential to adhere to the dual track of strong connection and make up for shortcomings to improve system coordination, optimize the pressure resistance capacity and state performance of the innovation system of the national high-tech zone, and promote the construction and improvement of talent training, enterprise cultivation, brand building, urban informatization and income structure rationalization. To improve fault tolerance and adaptability and enhance system flexibility to resolve response obstacles, the national high-tech zone should actively explore the trend of innovation and development, and take the passive response of high-end, green and intensive industries as the main direction of active response.#br#
|
|
Received: 27 July 2022
|
|
|
|
|
|
[1] 郭丕斌, 刘宇民. 创新政策效果评价：基于行业和区域层面的分析[J]. 中国软科学, 2019，34(9): 143-149.
[2] 李玉花, 简泽. 从渐进式创新到颠覆式创新：一个技术突破的机制[J]. 中国工业经济, 2021，38(9): 5-24.
[3] GARCIA R, CALANTONE R, LEVINE R. The role of knowledge in resource allocation to exploration versus exploitation in technologically oriented organizations[J]. Decision Sciences, 2003, 34(2): 323-349.
[4] 夏恩君, 张真铭. 预防性技术采用元分析及其对创新鸿沟跨越的启示——以可穿戴医疗健康设备为例[J]. 技术经济, 2020, 39(2): 134-143，163.
[5] 刘刚, 王宁. 突破创新的“达尔文海”——基于深圳创新型城市建设的经验[J]. 南开学报(哲学社会科学版), 2018，24(6): 122-133.
[6] 王巧, 佘硕, 曾婧婧. 国家高新区提升城市绿色创新效率的作用机制与效果识别——基于双重差分法的检验[J]. 中国人口·资源与环境, 2020, 30(2): 129-137.
[7] 王京雷, 赵静. 国家高新区能否推动都市圈的创新发展——基于31个都市圈的实证研究[J]. 中国科技论坛, 2021，38(12): 109-117.
[8] 张秀峰, 胡贝贝, 张莹. 自主创新示范区政策试点对国家高新区研发创新绩效的影响研究[J]. 科研管理, 2020, 41(11): 25-34.
[9] 王欣亮, 王宇欣, 刘飞. 营商环境优化与区域创新效率——兼论经济一体化的联合空间效应[J]. 科技进步与对策, 2022, 39(6): 40-50.
[10] 苏建军, 关丽. 中原城市群高新技术产业集聚特征及影响因素研究[J]. 创新科技, 2022, 22(4): 31-42.
[11] 袁航, 朱承亮. 国家高新区推动了中国产业结构转型升级吗[J]. 中国工业经济, 2018，35(8): 60-77.
[12] 戚湧, 张洪瑜. 基于PSR模型的区域高技术产业创新要素供给评价[J]. 科技进步与对策, 2020, 37(22): 55-64.
[13] ZENG S X, XIE X M, TAM C. Evaluating innovation capabilities for science parks: a system model[J]. Technological and Economic Development of Economy, 2010, 16(3): 397-413.
[14] HSIEN C L, JOSEPH Z, SHYU. A comparison of innovation capacity at science parks across the Taiwan strait: the case of Zhangjiang high-tech park and Hsinchu science-based industrial park[J]. Technovation, 2005, 25(7): 805-813.
[15] 方玉梅, 刘凤朝. 我国国家高新区创新能力评价研究[J]. 大连理工大学学报(社会科学版), 2014, 35(4): 26-32.
[16] 杜海东. 基于动态系统模型的科技园区创新能力影响因素分析[J]. 科学管理研究, 2012, 30(2): 9-12.
[17] 李荣. 国家高新区创新能力差异实证分析[J]. 经济体制改革, 2018，36(6): 45-50.
[18] 栾斌, 杨俊. 增加价值分配结构与创新绩效脆弱性[J]. 科研管理, 2018, 39(10): 22-30.
[19] 魏龙, 党兴华, 成泷. 不确定性双元对技术创新网络脆弱性的影响：网络惯例的中介作用[J]. 管理评论, 2018, 30(7): 64-76.
[20] 张静晓, 李越洋, 李慧. 基于SPA的建筑业服务创新政策脆弱性分析[J]. 武汉理工大学学报(信息与管理工程版), 2019, 41(2): 130-137.
[21] 周宏浩, 陈晓红. 东北地区可持续生计安全时空分异格局及障碍因子诊断[J]. 地理科学, 2018, 38(11): 1864-1874.
|
|
|
|
