The measurement of regional technological innovation capability based on the bit sequence and size of patents

Gu Bin, Zhao Xueqi

Science Research Management ›› 2022, Vol. 43 ›› Issue (11) : 172-181.

Science Research Management ›› 2022, Vol. 43 ›› Issue (11) : 172-181.

The measurement of regional technological innovation capability based on the bit sequence and size of patents

  • Gu Bin, Zhao Xueqi
Author information +
History +

Abstract

   The ability of technological innovation can be directly related to the level of the economic and social development as well as the sustainable development of a region. What is more, it is closely related to the core competitiveness of a region and even of the whole country. In the process of building a community of the shared future for mankind, the scientific and technological innovation plays a quite important role as a driving force as well as a key to promoting the implementation of the innovation-driven development strategy. The quantitative measurement of the regional technological innovation capability has the ability to better make an evaluation and orientation to the innovation level in each region. Based on the available data of innovation activities in all provincial-level regions of China from 2008 to 2018, this paper not only takes the number of authorized patents as the main test index of regional technological innovation ability, but also analyzes the distribution characteristics of the order-scale distribution of the number of patents, and in the end makes a further understanding of the changing situation of technological innovation ability in each provincial-level region. 
   In the first place, this paper carries on the statistic and the comparisons to the number of patents in each provincial-level region, and then does an analysis about the certain impact of GDP and R & D investment on regional innovation. It can be found that the regional innovation level in our country is now suffering from the uncoordinated problems, but the unit data cannot evaluate the specific development well. Therefore, according to the above analysis and reasons, this paper puts forward a possible hypothesis that both the number and scale of authorized patents conform to the Zipf′s law. On the basis of the statistical data of all the 34 provincial-level regions in our country in the recent ten years, this paper can calculate and obtain the parameter value k of the Zipf′s law, which can be next divided into different scale areas so as to analyze the trend of the overall innovation concentration and the characteristics of its scale-order changes. 
   From the empirical analysis, it can be found that the scale of the number of authorized patents in China has the characteristics of segmentation and it can be roughly divided into two different scale areas, where Guangdong, Jiangsu, Zhejiang and other fairly economically developed provincial-level regions can be taken as the first scale area, and Guangxi, Yunnan, Shanxi and other economically underdeveloped provincial-level regions as the second scale area. In addition, this paper analyzes the scope of the scale area, the characteristics of segmentation as well as the distribution of each scale area, in order to measure the changing situation of the technological innovation ability of provincial-level regions in the whole country. 
    In conclusion, based on the number of authorized patents, this paper analyzes the degree of innovation agglomeration in each region, and according to the empirical conclusion, it puts forward a few effective related suggestions for better strengthening the exchanges and cooperation and promoting the coordinated development between regions in China.

Key words

patent / Zipf′s law / innovation ability


Cite this article

Download Citations
Gu Bin, Zhao Xueqi. The measurement of regional technological innovation capability based on the bit sequence and size of patents[J]. Science Research Management. 2022, 43(11): 172-181

References

[1] 周煊,程立茹,王皓.技术创新水平越高企业财务绩效越好吗?——基于16年中国制药上市公司专利申请数据的实证研究[J].金融研究,2012(08):166-179.
[2] 王燕玲.基于专利分析的行业技术创新研究:分析框架[J].科学学研究,2009,27(04):622-628+568.
[3] 陈广汉,蓝宝江.研发支出、竞争程度与我国区域创新能力研究——基于1998—2004年国内专利申请数量与R&D数据的实证分析[J].经济学家,2007(03):101-106.
[4] 吴超鹏,唐菂.知识产权保护执法力度、技术创新与企业绩效——来自中国上市公司的证据[J].经济研究,2016,51(11):125-139.
[5] 谈明洪,范存会.Zipf维数和城市规模分布的分维值的关系探讨[J].地理研究,2004(02):243-248.
[6] 杨国良,张捷,刘波,李敏,万全友.旅游流流量位序—规模分布变化及其机理——以四川省为例[J].地理研究,2007(04):662-672.
[7] Urzua C M. A simple and efficient test for Zipf’s law [J]. Economics Letters, 2000, 66(3):257-260
[8] Gabaix X, Ibragimov R. 2007. Rank – 1/2: A simple way to improve OLS estimation of tail exponents [J]. Journal of Business and Economic Statistics, 2011, 9(1): 24-39.
[9] Axtell R L. Zipf distribution of U.S. firm sizes[J]. Science, 2001, 293(5536):1818-1820
[10] Xavier Gabaix; Zipf's Law for Cities: An Explanation[J].The Quarterly Journal of Economics, 1999,114(3):739-767
[11] 胡章鸿,段七零.江苏旅游客流规模分布的时空变化特征[J].地域研究与开发,2014,(2):99-105,121
[12] 沈体雁,劳昕.国外城市规模分布研究进展及理论前瞻——基于齐普夫定律的分析[J].世界经济文汇,2012,(5):95-111.
[13] George K Zipf. The Psycho-Biology of languages[M]. USA: The MIT Press,1965.
[14] Roberto Pedone, Rosaria Conte. Dynamics of Status Symbols and Social Complexity[J]. Social Science Computer Review. 2001.19(3):249-262.
[15] Hong Wei,Han Xiao-Pu,Zhou Tao,Wang Bing-Hong. Heavy-Tailed Statistics in Short-Message Communication[J]. Chinese Physics Letters,2009,26(2).
[16] 龙小宁,王俊.中国专利激增的动因及其质量效应[J].世界经济,2015,38(06):115-142.
[17]朱月仙,方曙.专利申请量与R&D经费支出关系的研究[J].科学学研究,2007(01):123-127.
[18] 古利平,张宗益,康继军.专利与R&D资源:中国创新的投入产出分析[J].管理工程学报,2006(01):147-151.
[19] 陶冶,许龙.我国R&D投入与专利产出的关系研究[J].科技进步与对策,2007(03):7-10.
[20] Ohtsuki, Toshiya; Tanimoto, Satoshi; Sekiyama, Makoto; et al.Pareto–Zipf law in growing systems with multiplicative interactions.PHYSICS LETTERS A.2018,382(22): 1456-1459.

Accesses

Citation

Detail

Sections
Recommended

/