A research on the selection and cultivation of innovative growth poles in Western China

Abstract

Abstract: 2020 is the 20th Anniversary for implementation of the western development strategies. In the past 20 years, the actual GDP of the western region has increased by 10 times compared with that in 2000, achieving economic growth faster than that of the east and the central region, and made breakthrough progress. In May 2020, the Central Committee and the State Council of the CPC put forward new requirements for high-quality development in the western region from the overall situation. In the important period of China′s rapid economic growth turning to high-quality development, innovation has become the first driving force leading high-quality development, and innovation is needed to achieve the goal of high-quality development. Innovation requires a lot of investment in innovation and entrepreneurship factors such as talent, capital and technology. However, the gap between the innovation ability of the west and the eastern region is still significant. There are many problems in the western region of China, such as lack of science and technology resources, weak innovation ability, insufficient development imbalance, and so on. It is still facing great challenges to realize innovation driven development. Therefore, how to allocate best the limited scientific and technological resources and solve the bottleneck of innovation and development is an urgent problem in the western region.
The research of innovation which is made in this paper based on the growth pole theory provides beneficial reference and enlightenment for the formulation of regional innovation strategic planning in underdeveloped areas of China. The use of innovation tools can not only promote the integration and utilization of limited scientific and technological resources in underdeveloped areas, but also strengthen the flow of various elements among regions, and fully tap the innovation potential of underdeveloped areas on the basis of maximizing the effectiveness of resource allocation.
Based on the above understanding, this paper believes that for the improvement of innovation ability in underdeveloped areas, we should formulate regional development strategies, pay attention to regional comprehensive development, take cities as an element, integrate into the overall regional planning, form a complete multi-level growth pole system, and coordinate the development of western regions. Therefore, this paper calculates the comprehensive strength of innovation agglomeration and diffusion of cities in the western region by using the method of complex correlation coefficient and gravity model, divides 95 cities in the western region into four types by using the natural fracture method of ArcGIS software, and puts forward the main structure of the growth pole of Western China at the present stage. On this basis, combined with the overall layout of the western region and major economic strategies, four types of innovative growth poles are selected, which are mature, growth, development and potential. According to the structural characteristics of different growth poles, all levels of growth poles are integrated into innovation centers with different functions, focusing on cultivating all kinds of growth poles.
Finally, some suggestions are put forward from the aspects of innovation elements, innovation platforms and innovation policies so as to stimulate the innovation vitality of the whole western region, improve the innovation ability of the western region, and provide beneficial support for the realization of high-quality economic development of the western region.

Key words: regional innovation, growth pole, western development, innovation agglomeration, innovation diffusion

Zhang Zhihe, Jin Yunhe, Guo Xiaohong, Sun Lijie, Xing Wanbing. A research on the selection and cultivation of innovative growth poles in Western China[J]. Science Research Management, 2021, 42(7): 1-10.

References

[1] 中央政府门户网站．中共中央国务院关于新时代推进西部大开发形成新格局的指导意见［EB/OL］．http://www.gov.cn/gongbao/content/2020/content_5515272.htm

www.gov.cn. Central Committee of the Communist Party of China has a number of views on promoting the development of the West in the new era and forming a new pattern［EB/OL］．http://www.gov.cn/gongbao/content/2020/content_5515272.htm

[2] 张治河,焦贝贝,李怡, et al. 科技资源匮乏地区创新驱动发展路径研究 [J]. 科研管理, 2018, 39(02): 46-59.

Zhang Zhihe, Jiao Beibei, Li Yi, et al. Research on innovation driven development path in regions with scarce science and technology resources [J]. Science Research Management,2018, 39(02): 46-59.

[3] Castellacci F , Natera J M . The dynamics of national innovation systems: A panel cointegration analysis of the coevolution between innovative capability and absorptive capacity[J]. Research Policy, 2013, 42(3):579-594.

[4] 张伟.中部欠发达地区城镇化特征、机制及若干探讨——基于安徽省三个地级市的案例研究[J].城市规划学刊,2012(06):42-49.

Zhang Wei. Urbanization characteristics, mechanism and some discussions in the underdeveloped areas of central China -- Based on the case study of three prefecture level cities in Anhui Province [J]. Journal of Urban Planning,2012(06):42-49.

[5] 谷树忠,张新华,钟赛香,谢美娥,鲁金萍.中国欠发达资源富集区的界定、特征与功能定位[J].资源科学,2011,33(01):10-17.

Gu Shu Zhong, Zhang Xin Hua, Zhong Sai Xiang, Xie mei'e, Lu Jin Ping. Definition, characteristics and functional orientation of China's underdeveloped resource rich areas [J]. Resource Science,2011,33(01):10-17.

[6] Todes A, Watson V. Growth pole theory and regional development in South Africa: Results of a survey in selected growth areas [J]. 2015,

[7] Townroe P M . Employment Decentralization: Policy Instruments for Large Cities in Less Developed Countries[J]. Progress in Planning, 1979, 10(part-P2):85-154.

[8] 许锋.雄安新区的城市职能定位与发展路径思考[J].城市发展研究，2018,25(09):1-8.

Xu Feng. Urban function orientation and development path of xiong'an New District [J]. Urban Development Research,2018,25(09):1-8.

[9] 李锦章,初玉岗,周志斌.次中心城市与区域经济发展[J].江汉论坛,2003(02):5-9.

Li Jinzhang, Chu Yugang, Zhou Zhibin. Sub central cities and regional economic development [J]. Jianghan Forum,2003(02):5-9.

[10] 丁小燕, 王福军, 张伟, et al. 河北省次中心城市的选择研究 [J]. 地理与地理信息科学, 2013, 29(05): 83-7+93.

Ding Xiaoyan, Wang Fujun, Zhang Wei, et al. Study on the selection of sub central cities in Hebei Province [J]. Geography and Geographic Information Science, 2013, 29 (05): 83-7 + 93

[11] 贾冀南, 杨丽倩. 人才集聚视角下的中原经济区增长极培育研究 [J]. 华东经济管理, 2016, 30(04): 68-73.

Jia Jinan, Yang Liqian. Research on the growth pole cultivation of Central Plains Economic Zone from the perspective of talent agglomeration [J]. East China Economic Management,2016, 30(04): 68-73.

[12] 程水红, 曾菊新. 中心城市技术空间扩散与经济增长实证分析——以海峡西岸经济区为例 [J]. 经济地理, 2017, 37(10): 143-50.

Cheng Shuihong, Zeng Juxin. Positive analysis of technological spatial diffusion and economic growth of central cities: Taking the Economic Zone on the west side of the Straits as an example [J]. Economic Geography,2017, 37(10): 143-50.

[13] 汪海. 沿海创新增长极引领中国经济转型升级 [J]. 现代经济探讨, 2015, (04): 49-53.

Wang Hai. Coastal innovative growth pole leads China's economic transformation and upgrading [J]. Discussion on Modern Economy,2015,(04): 49-53.

[14] 张肃, 郭文. 基于TW指数的我国创新极化测度及区域比较研究 [J]. 工业技术经济, 2020, 39(03): 40-7.

Zhang Su, Guo Wen. Measurement and regional comparison of innovation polarization in China based on TW index [J],2020, 39(03): 40-7.

[15] 刘本盛. 关于国家创新体系建设的思考与建议 [J]. 管理世界, 2007, (08): 153-4.

Liu Bensheng. Thoughts and suggestions on the construction of national innovation system [J]. Managing the World, 2007, (08): 153-4.

[16] Perroux F . Economic Space: Theory and Applications[J]. Quarterly Journal of Economics, 1950, 64(1):89-104.

[17] 顾伟男, 申玉铭. 我国中心城市科技创新能力的演变及提升路径 [J]. 经济地理, 2018, 38(02): 113-22.

Gu Weinan, Shen Yuming. Evolution and promotion path of science and technology innovation ability of central cities in China [J]. Economic Geography, 2018, 38(02): 113-22.

[18] Krugman P R . First Nature, Second Nature, and Metropolitan Location[J]. Journal of Regional Science, 1991, 33(3740):129-144.

[19] 钟业喜, 陆玉麒. 基于空间联系的城市腹地范围划分——以江苏省为例 [J]. 地理科学, 2012, 32(05): 536-43.

Zhongyexi, Lu Yuqi. The division of urban hinterland based on spatial connection -- Taking Jiangsu Province as an example [J]. Geographical Science, 2012, 32 (05): 536-43

[20]徐新华, 陈铭仁. 金融中心形成模式比较及启示 [J]. 经济纵横, 2007, (23): 27-9.

Xu Xinhua, Chen Mingren. Comparison and Enlightenment of financial center formation mode [J]. Economic Journal, 2007 (23): 27-29

[21] Sheppard E. Economic theory and underdeveloped regions [J]. Regional Studies, 2017, 51(6): 972-3.

[22] 郭庆宾, 许泱, 刘承良. 长江中游城市群资源集聚能力影响因素与形成机理 [J]. 中国人口·资源与环境, 2018, 28(02): 151-7.

Guo Qingbin, Xu Yang, Liu Chengliang. Influencing factors and formation mechanism of resource agglomeration capacity of urban agglomeration in the middle reaches of the Yangtze River [J]. China Population, Resources and Environment, 2018, 28 (02): 151-7.

[23] 叶小岭, 叶瑞刚, 张颖超. 区域企业集聚科技创新要素水平及集聚效益评价研究 [J]. 科技管理研究, 2012, 32(15): 112-7.

Ye Xiaoling, ye Ruigang, Zhang Yingchao. Research on the level of technological innovation elements and the evaluation of agglomeration efficiency of regional enterprises [J]. Science and Technology Management Research, 2012, 32 (15): 112-7

[24] 宋彦蓉, 张宝元. 基于地区现代化评价的客观赋权法比较 [J]. 统计与决策, 2015, (11): 82-6.

Song Yanrong, Zhang Baoyuan. Comparison of objective weighting methods based on regional modernization evaluation [J]. Statistics and Decision Making, 2015, (11): 82-6

[25] 李琳, 牛婷玉. 基于SNA的区域创新产出空间关联网络结构演变 [J]. 经济地理, 2017, 37(09): 19-25+61.

Li Lin, Niu Tingyu. Evolution of spatial association network structure of regional innovation output based on SNA [J]. Economic Geography, 2017, 37 (09): 19-25 + 61

[26] Parr, J B. The law of retail gravitation: insights from another law[J]. Environment & Planning A, 1997, 29(8):1477-1492.

[27] 王越, 王承云. 长三角城市创新联系网络及辐射能力 [J]. 经济地理, 2018, 38(09): 130-7.

Wang Yue, Wang Chengyun. Innovation network and radiation ability of cities in Yangtze River Delta [J]. Economic Geography, 2018, 38 (09): 130-7

[28] 张鸿鹤, 马荣康, 刘凤朝. 基于引力模型的东北地区创新产出空间联系研究 [J]. 大连理工大学学报(社会科学版), 2017, 38(04): 33-9.

Zhang Honghe, Ma Rongkang, Liu Fengchao. Research on the spatial linkage of innovation output in Northeast China based on gravity model [J]. Journal of Dalian University of Technology (Social Science Edition), 2017, 38 (04): 33-9

[29] 蒋天颖, 谢敏, 刘刚. 基于引力模型的区域创新产出空间联系研究——以浙江省为例 [J]. 地理科学, 2014, 34(11): 1320-6.

Jiang Tianying, Xie min, Liu Gang. Spatial connection of regional innovation output based on Gravity Model: Taking Zhejiang Province as an example [j]. Geographical Science, 2014, 34 (11): 1320-6

[30] 丁军, 黄茹, 吕拉昌. 基于专利授权数的长江经济带创新差异的多尺度分析 [J]. 长江流域资源与环境, 2016, 25(06): 868-76.

Ding Jun, Huang Ru, Lu lachang. Multi scale analysis of innovation differences in the Yangtze River Economic Belt Based on the number of patents granted [J]. Resources and Environment of the Yangtze River Basin, 2016, 25 (06): 868-76

[31] DING J, HUANG R, LA-CHANG L V. MULTISCALE ANALYSIS OF INNOVATION DIFFERENCE IN THE YANGTZE RIVER ECONOMIC BELT BASED ON THE NUMBER OF PATENTS [J]. Resources & Environment in the Yangtze Basin, 2016,

[32] Hagedoorn J , Cloodt M . Measuring Innovative Performance: Is There an Advantage in Using Multiple Indicators?[J]. Research Policy, 2003, 32(8):1365-1379.