|
|
Regional Differences and Spatial-temporal Evolution of Innovation Ability of High-tech Enterprises in China's Urban Agglomeration |
Sun Hongjun1,2,Zhao Zuoxiang3 |
(1.School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049,China;2. National Library of Standards, China National Institution of Standardization, Beijing 100191, China;3. Institute of Science and Development, Chinese Academy of Sciences, Beijing 100019, China) |
|
|
Abstract As the core areas with the most vitality and potential in China's regional economy, urban agglomerations become the main carriers supporting the development and growth of China's high-tech innovation capabilities. Comprehensively improving the technological innovation capabilities of high-level urban agglomerations is not only the key to realizing high-quality innovation-driven economic development, but also an important guarantee for promoting scientific and technological self-reliance and self-improvement. However, there is still a lack of research on regional differences in the technological innovation capabilities of high-tech enterprises. The samples are mainly concentrated at the provincial and municipal levels, and only simple descriptive statistical methods are used to compare the differences in the technological innovation capabilities of high-tech enterprises between different provinces and cities. It is revealed that there are regional differences in the technological innovation capabilities of high-tech enterprises, but there is no accurate description of the size of regional differences, the sources of differences and their temporal and spatial evolution characteristics.#br#This study constructs an evaluation index system for the technological innovation capability of high-tech enterprises in China's eight major urban agglomerations, and uses principal component analysis, Dagum Gini coefficients, Kernel density estimation, traditional and spatial Markov chain and other methods to evaluate the high-tech enterprises in China's eight major urban agglomerations from 2014 to 2019. #br#According to the empirical study on the regional differences and spatiotemporal evolution characteristics of technological innovation capabilities, it is found that firstly there is an universal increasing trend of the technological innovation capabilities of high-tech enterprises in the eight major urban agglomerations. The technological innovation capabilities of high-tech enterprises in the Pearl River Delta urban agglomeration are the highest, and the lowest is in the Beibu Gulf urban agglomeration. This also shows that the economically developed regions often have high technological innovation capabilities of high-level enterprises, and the level of technological innovation capabilities of high-level enterprises in urban agglomerations also reflects the level of technological innovation capabilities at the regional level of urban agglomerations. Secondly the overall, intra-regional and inter-regional differences all show a significant expansion trend, and the inter-regional differences are the main reasons for the differences in their technological innovation capabilities. On the one hand, the high-end enterprises in the eight major urban agglomerations have not yet generally established the awareness of technological innovation, and they lack long-term consideration of innovation and entrepreneurship; what's more, they have weak intrinsic motivation for technological innovation, which leads to further regional differences. On the other hand, a collaborative innovation mechanism has not yet been formed among high-level enterprises in various urban agglomerations, and the interaction of innovation with each other is poor. Thirdly the distribution curve of technological innovation capability gradually shifts to the right, showing a tailing trend to the right, but the polarization phenomenon is different. With consideration of the spatial correlation, its technological innovation capability shows obvious asymmetric and asynchronous characteristics with non-equilibrium time-space transfer. This finding indicates that the spatial and temporal evolution characteristics of technological innovation capabilities at the high-level enterprise level of urban agglomerations and technological innovation capabilities at the regional level of urban agglomerations are consistent and convergent. #br#The study proposes that various regions should implement differentiated high-tech innovation capability improvement projects. Cities with strong technological innovation capabilities of high-tech enterprises should expand the space for external development; cities with weak technological innovation capabilities of high-tech enterprises should focus on improving the technological innovation capabilities of high-tech enterprises. In addition, it is necessary to promote the cross-regional flow and balanced allocation of innovation resources of high-tech enterprises, actively expand the channels for large-scale and cross-regional flow of innovation resources and improve the policies with focus on the support of innovative resource elements flow from rich areas to poor areas. Finally, it is essential to strengthen the cross-regional division of labor and cooperation in high-tech industries, the correlation and interaction of high-tech industries between different urban agglomerations, so as to further promote the cross-regional exchanges and cooperation of high-tech industries, jointly solve the problems that restrict the industrial growth and development , and improve the overall development quality of China's high-tech industries.#br#
|
Received: 10 January 2022
|
|
|
|
|
[1] 方文中,罗守贵.自主研发与技术引进对全要素生产率的影响——来自上海高新技术企业的实证[J].研究与发展管理,2016,28(1):1-9. [2] 牛冲槐,刘颖祺,牛彤.我国高新技术企业自主创新能力评价与差异化分析[J].经济问题,2014,36(5):78-82. [3] 刘传明,王卉彤,魏晓敏.中国八大城市群互联网金融发展的区域差异分解及收敛性研究[J].数量经济技术经济研究,2017,34(8):3-20. [4] 杜丹丽,曾小春.速度特征视角的我国高新技术企业创新能力动态综合评价研究[J].科研管理,2017,38(7):44-53. [5] 夏文飞,苏屹,支鹏飞.基于组合赋权法的高新技术企业创新能力评价研究[J].东南学术,2020,33(3):153-161. [6] 朱承亮.中国地区经济差距的演变轨迹与来源分解[J].数量经济技术经济研究,2014,31(6):36-54. [7] 陈明华,刘华军,孙亚男.中国五大城市群金融发展的空间差异及分布动态:2003~2013年[J].数量经济技术经济研究,2016,33(7):130-144. [8] 曹勇,曹轩祯,罗楚珺,等.我国四大直辖城市技术创新能力及其影响因素的比较研究[J].中国软科学,2013,28(6):162-170. [9] 侯纯光,程钰,任建兰,等.中国创新能力时空格局演变及其影响因素[J].地理科学进展,2016,35(10):1206-1217. [10] 杨明海,张红霞,孙亚男.七大城市群创新能力的区域差距及其分布动态演进[J].数量经济技术经济研究,2017,34(3):21-39. [11] TRAJTENBERG M. Economic analysis of product innovation: the case of CT scanners[M]. Harvard University Press.1990. [12] CHI W, QIAN X. The role of education in regional innovation activities:spatial evidence from China[J]. Journal of the Asia Pacific Economy, 2010, 15(4): 396-419. [13] GRKKI K L. A dynamic performance measurement system: evidence from small finnish technology companies[J]. Scandinavian Journal of Management, 2002, 18(1): 65-99 [14] JOHN H,MYRIAM C. Measuring innovative performance: is there an advantage in using multiple indicators? [J]. Research Policy, 2003,32(8): 1365 -1379. [15] 张治国,欧国立.高铁开通促进创业了吗——基于京津冀等七大城市群的研究[J].东岳论丛,2021,42(12):164-173. [16] 杨明海,卢晓杨,孙亚男.三大经济支撑带创新能力地区差距及分布动态演进——利用Dagum基尼系数和非参数估计方法的实证研究[J].科技进步与对策,2017,34(7):34-42.
|
|
|
|