|
|
The Evolution of Spatial Polarization Effect of Science and Technology Innovation in Yellow River Basin Oriented by High-quality Development |
Luo Wei1,Yang Xuanzhi2,Yang Yongfang3 |
(1. Business School,Henan University,Kaifeng 475000,China; 2. School of Economics and Management,Jiangsu University of Science and Technology,Zhenjiang 212003,China; 3. School of Environment and Planning,Henan University,Kaifeng 475000,China) |
|
|
Abstract Based on the current situation of disordered competition,lack of cooperation,and uneven development in the science and technology innovation of Yellow River Basin,this paper builds the concentration degree model and polarization degree model of science and technology innovation oriented by high-quality development,analyzes the evolution of polarization effects,identifies the “siphon” and “trickle-down” effects among provinces. The results show that: From the overall level of the provinces and regions across the river basin,the science and technology innovation is at a “very low polarization” level and presents a “continuous decline” trend,the provinces with strong science and technology innovation capabilities have “weak trickle-down” effect on the weak one. From the sub-regional level of upstream,midstream and downstream,the science and technology innovation in regions of upstream,midstream and downstream are at the “very low polarization”,which are represented by the trends of “continuous rise”,“rise and then decline”,“continuous decline”,the provinces with strong science and technology innovation capabilities in turn shows “weak siphon”,“siphon first and then trickle-down”,“weak trickle-down” effect to the weak one. Furthermore,policy implications are proposed from the aspects of improving the quality of science and technology innovation resource allocation and optimizing the space layout of science and technology innovation.
|
Received: 25 July 2020
|
|
|
|
|
[1] 习近平.在黄河流域生态保护和高质量发展座谈会上的讲话[J].求是,2019(20):4-11.[2] 毛汉英.“黄河流域高质量发展路径与资源生态保障”专辑序言[J].资源科学,2020,42(1):1-2.[3] 金碚.关于“高质量发展”的经济学研究[J].中国工业经济,2018(4):5-18.[4] 安树伟,李瑞鹏.黄河流域高质量发展的内涵与推进方略[J].改革,2020(1):76-86.[5] 任保平.黄河流域高质量发展的特殊性及其模式选择[J].人文杂志,2020(1):1-4.[6] 张震,石逸群.新时代黄河流域生态保护和高质量发展之生态法治保障三论[J].重庆大学学报(社会科学版),2020(1):1-11.[7] 樊杰,王亚飞,王怡轩.基于地理单元的区域高质量发展研究——兼论黄河流域同长江流域发展的条件差异及重点[J].经济地理,2020,40(1):1-11.[8] 郭爱君,范巧,张永年.西北经济走廊建设与发展:战略构想、现实条件与有效路径[J].兰州大学学报(社会科学版),2020,48(1):72-81.[9] 关伟,许淑婷,郭岫垚.黄河流域能源综合效率的时空演变与驱动因素[J].资源科学,2020,42(1):150-158.[10] 高煜.黄河流域高质量发展中现代产业体系构建研究[J].人文杂志,2020(1):13-17.[11] AKINCI M.Inequality and economic growth: trickle-down effect revisited[J].Development Policy Review,2017,36(3): 10-15.[12] FRANCOIS P.A note on the notion of growth pole[J].Applied Economy,1955(1/2): 307-320.[13] FRIEDMAN J R.Regional development policy: a case study of Venezuela[M].Cambrige: MIT Press,1966.[14] KRUGMAN P.Increasing returns and economic geography[J].Journal of Political Economy,1991,99(3): 483-499.[15] 李子彪,张静,李林琼.区域创新极创新态势测度方法研究--对北京的集对分析[J].科技进步与对策,2016,33(15):111-117.[16] 徐君,任腾飞.区域中心城市创新生态圈要素架构、生态特征与运行机制[J].科技进步与对策,2019,36(9):43-50.[17] ESTEBAN J M,RAY D.On the measurement of polarization[J].Econometrica,1994,62(4): 819-851.[18] 周密.我国创新极化现象的区域分布与极化度比较[J].当代经济科学,2007,29(1):78-82.[19] 尹宏玲,吴志强.极化&扁平:美国湾区与长三角创新活动空间格局比较研究[J].城市规划学刊,2015(5):50-56.[20] 宋丽思,陈向东.我国四大城市区域创新空间极化趋势的比较研究[J].中国软科学,2009(10):100-108.[21] 周灵玥,彭华涛.中心城市对城市群协同创新效应影响的比较[J].统计与决策,2019,35(11):98-101.[22] OZKAYA A.R&D team's competencies,innovation,and growth with knowledge information flow[J].IEEE Transactions on Engineering Management,2010,57(3): 416-429.[23] THEOPHILE T A,DIENEI M.Polarization patterns in economic development and innovation[J].Structural Change and Economic Dynamics,2012,23(4): 421-436.[24] VENABLES A J.Globalization and urban polarization[J].Review of International Economics,2018,26(5): 981-996.[25] 史安娜,刘海荣.长三角城市群知识密集型服务业的空间极化与辐射分析[J].河海大学学报(哲学社会科学版),2019(3):29-36.[26] 霍丽霞,王阳,魏巍.中国科技人才集聚研究[J].首都经济贸易大学学报,2019,21(5):13-21.[27] 赵昕.“一带一路”科技文化的发展对我国西部新兴产业集聚作用机制研究[J].科学管理研究,2017,35(3):61-64.[28] 陈志军.新常态下我国财政科技投入的空间集聚效应研究[J].财政研究,2016(11):41-50.[29] 党兴华,成泷,魏龙.技术创新网络分裂断层对子群极化的影响研究——基于网络嵌入性视角[J].科学学研究,2016,34(5):781-792.[30] 王成城,李红梅,韦守明.区域创新极化效应的城市贡献度——基于分解TW指数的空间计量研究[J].中国科技论坛,2017(8):94-102.[31] ESTEBAN J,GRADIN C,RAY D.An extension of a measure of polarization,with an application to the income distribution of five OECD countries[J].The Journal of Economic Inequality,2007,5(1): 1-19.[32] WOLFSON M C.When inequalities diverge[J].American Economic Review,1994,84(2): 353-358.[33] KANBUR R,ZHAG X.Fifty years of regional inequality in China: a journey through central planning,reform,and openness[J].Review of Development Economics,2001,9(1): 87-106.[34] ANDERSON G,THOMAS J.Measuring multi-group polarization,segmentation and ambiguity: increasingly unequal yet similar constituent Canadian income distributions[J].Social Indicators Research,2019(1): 1-32.[35] 汪雪锋,张硕,刘玉琴.中国科技评价研究40年:历史演进及主题演化[J].科学学与科学技术管理,2018,39(12):69-82.[36] GRIFFITH R,HARRISON R,REENEN J V.How special is the special relationship? using the impact of U.S.R&D spillovers on U.K.firms as a test of technology sourcing[J].American Economic Review,2006,96(5): 1859-1875.[37] 杜金岷,吕寒, 张仁寿,等.企业R&D投入的创新产出、约束条件与校正路径[J].南方经济,2017(11):22-40.[38] 俞立平,宋夏云,邹文璨.科技评价权重的本质研究[J].情报杂志,2018,37(2):117-121.[39] SAATY T L.A scaling method for priorities in hierarchical structures[J].Journal of Mathematical Psychology,1977,15(3): 234-281.[40] SHABANA M.Re-assessing "trickle-down" using a multidimensional criteria: the case of India[J].Social Indicators Research,2018,136(2): 1-19. |
|
|
|