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The Impact of Multiple Factor Flow on High-quality Economic Development of Urban Agglomeration:An Example from Changsha-Zhuzhou-Xiangtan Urban Agglomeration |
Shen Lu1,Chao Xiaojing1,2 |
(1.School of Economics and Management, Northwest University;2.Western China Economic Development Research Center, Northwest University, Xi'an 710127, China) |
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Abstract Nowadays, urban agglomeration is a new growth pole leading high-quality development, and its factor flow and spatial pattern evolution have a decisive impact on the construction of new urbanization, optimal allocation of resources and coordinated regional development. It is clearly stated in the outline of China's 14th Five-year Plan that the rational flow and efficient agglomeration of various factors should be promoted, the internal spatial structure of urban agglomeration should be optimized, and a multi-center, multi-level and multi-node network city agglomerations should be formed. However, most urban agglomerations in China are still in the infant or rapid development stage, and the flow of multiple elements are conducive to forming the spatial structure of single-center urban agglomerations. This may not only provide a large amount of labor force, capital and information for the development of core cities, and thus bring a trickle-down effect among cities to promote coordinated development, but also cause problems such as unbalanced and inadequate development among cities, fragile ecological environment and low development quality due to the lack of driving ability of core cities. This raises the question that, as China's economy enters a new stage of high-quality development, which factor flows play a key role in the high-quality development of urban agglomerations? How do they affect the high-quality development of urban agglomeration? Will factor flows among cities have spatial spillover effects on high-quality development?It is of great theoretical value and practical significance to clarify these problems for the formation of an integrated, interactive, fully functional urban spatial pattern and the coordinated promotion of high-quality development of urban agglomerations.#br#This paper takes the Changsha-Zhuzhou-Xiangtan urban agglomeration in the rapid development stage as the research object. Firstly, on the basis of the evaluation of the high-quality development level of Changsha-Zhuzhou-Xiangtan urban agglomeration from 2011 to 2020, Moran's I is used to analyze its spatial correlation characteristics. Secondly, from the dynamic perspective, the direct effects and spatial spillover effects of R&D personnel, R&D capital and information flow on the high-quality development of urban agglomeration are discussed. Finally, the robustness test and heterogeneity analysis are carried out.#br#The results show that the quality development level of Changsha-Zhuzhou-Xiangtan urban agglomeration is generally low, but there is a significant upward trend. The high quality development of urban agglomerations has a significant positive spatial correlation in the global scope. Changsha-zhuzhou-xiangtan urban agglomeration shows an obvious trend of unipolar development, and there is an obvious difference in the intensity of factor flow of cities at different levels. As the core of urban agglomeration, Changsha ranks first in R&D personnel flow, R&D capital flow and information flow. The high-quality development of urban agglomeration has a significant positive linear correlation with R&D personnel flow, and a significant U-shaped curve relationship with R&D capital flow. Only the R&D capital flow of Changsha city appears on the right side of the symmetry axis at the end of the investigation period, and the intensity of R&D capital flow of other cities needs to be improved. Heterogeneity analysis shows that the direct and total effects of R&D personnel flow on high-quality development of different dimensions are significantly positive. There is a significant U-shaped curve relationship between R&D capital flow and comprehensive economic development, and there is a significant linear positive correlation between information flow and comprehensive economic development. However, the positive promoting effect of R&D capital flow and information flow on social coordination and environmentally friendly development has not been shown in the study.#br#Combined with the research findings, it is proposed that at first, the government should accelerate the inter city flow of R&D talents and R&D funds to achieve high-quality development of urban agglomerations. Second, the government should promote the deep integration of the new generation of information technology with urban construction, basic public services and ecological and environmental protection, and promote the coordinated and green development of urban agglomerations. On the basis of testing its spatial auto-correlation, this paperfurther investigates the direct and spatial spillover effects of multiple factor flows on the high-quality development of urban agglomerations in different dimensions.#br#
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Received: 21 February 2022
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[1] BAILEY N, TUROK I. Central Scotland as a polycentric urban region: useful planning concept or chimera[J].Urban Studies,2001,38(4):697-715. [2] CERVERO R.Efficient urbanization: economic performance and the shape of the metropolis[J].Urban Studies,2001,38(10):1651-1671. [3] PARR J B. Agglomeration economies: ambiguities and confusions[J].Environment and Planning A,2002,34(4):717-731. [4] 白俊红,王钺,蒋伏心,等.研发要素流动、空间知识溢出与经济增长[J].经济研究,2017,52(7):109-121. [5] WILIAMSON J G. Regional inequality and the process of national development: a description of the patterns[J].Economic Development and Cultural Change,1965,13(4):3-47. [6] HENDERSON V. The urbanization process and economic growth: the sowhat question[J].Journal of Economic Growth,2003,8(1):47-71. [7] 王雪微,范大龙.长三角城市群城市发展质量测度及时空演变格局[J].人文地理,2020,35(6):85-94,148. [8] 涂建军,况人瑞,毛凯,等.成渝城市群高质量发展水平评价[J].经济地理,2021,41(7):50-60. [9] 李彦,付文宇,王鹏.高铁服务供给对城市群经济高质量发展的影响——基于多重中介效应的检验[J].经济与管理研究,2020,41(9): 62-77. [10] 张治栋,吴迪.产业空间集聚、要素流动与区域平衡发展——基于长江经济带城市经济发展差距的视角[J].经济体制改革, 2019,37(4):42-48. [11]MITCHELSON R L, WHEELER J O.The flow of information in a global economy:the role of the American ubran system in 1990[J].Annals of the Association of American Geographers,1994,84(1):87-107. [12] 王少剑,高爽,王宇渠.基于流空间视角的城市群空间结构研究——以珠三角城市群为例[J].地理研究,2019,38(8):1849-1861. [13] CASTELLS M. The informational city: information technology, economic restructuring and the urban regional progress[M].Oxford UK & Cambridge USA:Blackwell,1989. [14] LOS B, VERSPAGEN B. R&D spillovers and productivity: evidence from U.S. manufacturing microdata[J].Empirical Economics,2000,25(1):127-148. [15] 白俊红,蒋伏心.协同创新、空间关联与区域创新绩效[J].经济研究,2015,50(7):174-187. [16] 卞元超,吴利华,白俊红.财政科技支出竞争是否促进了区域创新绩效提升——基于研发要素流动的视角[J].财政研究,2020,41(1): 45-58. [17] 姚文萃,周婕,陈虹桔,等.基于互联网公共信息流的区域网络空间结构研究[J].经济地理,2017,37(10): 10-16. [18] 蔡跃洲,马文君.数据要素对高质量发展影响与数据流动制约[J].数量经济技术经济研究,2021,38(3):64-83. [19] 《城市规划学刊》编辑部.“城市精细化治理与高质量发展”学术笔谈[J].城市规划学刊,2020,64(2):1-11. [20] 魏敏,李书昊.新时代中国经济高质量发展水平的测度研究[J].数量经济技术经济研究,2018,35(11):3-20. [21] 李旭辉,殷缘圆,程刚.基于新发展理念的经济社会发展测度及空间关联格局研究[J].中央财经大学学报, 2020,40(7):104-115. [22] 卓乘风,邓峰.创新要素流动与区域创新绩效——空间视角下政府调节作用的非线性检验[J].科学学与科学技术管理,2017,38(7):15-26. [23] 肖仁桥,沈路,钱丽.新时代科技创新对中国经济高质量发展的影响[J].科技进步与对策,2020,37(4):1-10. [24] LESAGE J P, PACE R K. Spatial econometric modeling of origin destination flows[J].Journal of Regional Science,2008,45(8):941-967. [25] 王兵,徐霞,吴福象.研发要素流动的时空特征及对中国经济高质量发展的影响[J].经济地理,2021,41(11): 9-18. [26] 韩永辉,黄亮雄,王贤彬.产业政策推动地方产业结构升级了吗——基于发展型地方政府的理论解释与实证检验[J].经济研究,2017,52(8): 33-48.
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