By constructing an evaluation index system, this paper makes an empirical research on the coupling coordination degrees of technological innovation and new urbanization in the Beijing-Tianjin-Hebei region from 2006 to 2017. The entropy method is used to determine the weights of the evaluation indexes of the two systems (technological innovation system and new urbanization system), and the coupling coordination degree model and the relative development degree model are applied synthetically. According to the result, the comprehensive development indexes and coupling coordination degrees of the region kept increasing year by year; in terms of time, the two systems in Beijing developed synchronously while the technological innovation systems in Tianjin and Hebei lagged behind; in terms of space, the degrees of coupling coordination of the two systems varied with geography, and linear fitting shows that the coupling coordination in Beijing was in a good state while the coupling coordination in Tianjin was convergent but of great potential, and that the synergy effect in Hebei was not obvious. Tianjin and Hebei should focus on improving the technological innovation ability in the future.
CAO Linjian
,
YANG Ankang
. On coupling coordination degree of technological innovation and new urbanization: A case study of the Beijing-Tianjin-Hebei Region[J]. Science & Technology Review, 2020
, 38(15)
: 111
-120
.
DOI: 10.3981/j.issn.1000-7857.2020.15.012
[1] Grossman J. The evolution of inhaler technology[J]. Journal of Asthma, 1994(1):55-64.
[2] Wilson R P, Vandenabeele S P. Technological innovation in archival tags used in seabird research[J]. Marine Ecology Progress, 2012(451):245-262.
[3] 丁明磊, 陈宝明, 吴家喜. 科技创新支撑引领新型城镇化的思路与对策研究[J]. 创新科技, 2014, 7(15):17-19.
[4] 张建清, 边娜, 范斐. 基于PVAR模型的长江中游城市群新型城镇化与科技创新关联性分析[J]. 科技管理研究, 2017(16):110-116.
[5] 刘顺飞, 谢圣远, 汪发元. 科技投入、公共支持对城镇化的影响——来自长江经济带11省市空间杜宾模型的实证[J]. 科技进步与对策, 2018, 36(1):51-58.
[6] Jacobs J. The economy of cities[M]. New York:Random Houssse, 1969.
[7] Rosenthal S S, Strange W C. Evidence on the Nature and Sources of Agglomeration Economics[J]. Handbook of Regional and Urban Economics, 2004(4):2119-2171.
[8] Tappeniner G, Hauser C, Walde J. Regional knowledge spillovers:Fact or artifact[J]. Research Policy, 2008(5):861-874.
[9] 程开明, 李金昌. 中国城市化与技术创新关联性的动态分析[J]. 科学学研究, 2008, 26(3):666-672.
[10] 仇怡. 城镇化的技术创新效应——基于1990-2010年中国区域面板数据的经验研究[J]. 中国人口科学, 2013(1):26-35, 126.
[11] Carlino G A, Chatterjee S, Hunt R M. Urban Density and Rate of Invention[J]. Journal of Urban Economics, 2007, 61(3):389-419.
[12] Peres R, Muller E. Innovation diffusion and new product growth models:A critical review and research directions[J]. International Journal of Research in Marketing, 2010, 27(2):91-106.
[13] Farahmand S, Akbari N. Spatial affects of localization and urbanization economies on urban employment growth in Iran[J]. Journal of Geography and Regional Planning, 2012, 34(2):115-121.
[14] Enkel E, Gassmann O, Chesbrough H. Open R&D and open innovation:Exploring the phenomenon[J]. R & D Manage, 2009(2):311-316.
[15] 甘丹丽. 科技创新与新型城镇化协同发展对策研究[J]. 科技进步与对策, 2014, 31(6):41-45.
[16] 田逸飘, 许秀川, 辛旅洁, 等. 科技创新与新型城镇化发展的动态关联及其区域差异——省际面板数据的PVAR分析[J]. 科技进步与对策, 2016, 33(18):42-50.
[17] 田逸飘, 张卫国, 刘明月. 科技创新与新型城镇化包容性发展耦合协调度测度——基于省级数据的分析[J]. 城市问题, 2017(1):12-18.
[18] 谢锐, 陈严, 韩峰, 等. 新型城镇化对城市生态环境质量的影响及时空效应[J]. 管理评论, 2018, 30(1):230-241.
[19] 李政通, 姚成胜, 邹圆, 等. 中国省际新型城镇化发展测度[J]. 统计与决策, 2019, 35(2):95-100.
[20] 姜伟军. 人口-区域经济-环境发展耦合协调度分析[J]. 统计与决策, 2017, 15(24):101-104.
[21] Valerie Illingworth. The penguin directionary of physics[M]. Beijing:Foreign Language Press, 1996:92-93.
[22] 廖重斌. 环境与经济协调发展的定量评判及其分类体系——以珠江三角洲城市群为例[J]. 热带地理, 1999(2):76-82.
[23] 刘春林. 耦合度计算的常见错误分析[J]. 淮阴师范学院学报(自然科学版), 2017, 16(1):18-22.
[24] 曹琳剑, 王杰, 王欢欢, 等. 京津冀基础设施建设与人口集聚耦合演进分析——基于推拉理论解析[J]. 地理科学, 2019(8):1256-1264.