新发展格局下中国高质量发展的空间关联机制及网络效应研究

摘要/Abstract

摘要： 加快构建新发展格局，着力推动高质量发展，是当前和今后一个时期必须抓紧抓好的工作。本文基于新发展理念构建高质量发展评价指标体系，运用修正的引力模型和社会网络分析方法考察高质量发展的空间关联网络，探析其内部关联机制，揭示空间关联网络对高质量发展的影响效应。研究表明：①样本考察期内，中国高质量发展空间关联的网络密度波动上升，空间关联效应不断增强。其中，上海、北京和江苏等东部地区省份的中心度较高，在高质量发展空间关联网络中具有较强影响力；而安徽、内蒙古和辽宁等中西部地区省份的中心度较低，在网络中扮演边缘行动者的角色。②空间关联机制方面，整体来看，“创新”“绿色”“开放”和“共享”四个维度的空间关联是高质量发展空间关联的主要驱动力。进入新发展阶段后，“创新”和“协调”的驱动作用明显上升，五大维度的空间关联均表现为显著的正向影响。③网络效应方面，空间关联网络结构对于推动高质量发展及缩小地区差异存在显著影响。一方面，提高省际之间高质量发展的关联程度、提升个体省份在网络中的地位能够推动高质量发展；另一方面，增强高质量发展的空间关联，充分发挥省份在关联网络中的“桥梁”作用，有利于缩小高质量发展水平的地区差异。在“双循环”新发展格局的推动下，关联网络能够更好地发挥其对高质量发展的积极作用。

关键词: 新发展格局, 高质量发展, 空间关联, 网络效应

Abstract: Accelerating the construction of a new development paradigm and striving for high-quality development are important tasks for China at present and in the future. Based on the new development concept, this paper constructs a high-quality development evaluation system, examines the spatial network of high-quality development using the modified gravity model and social network analysis, analyses its internal correlation mechanism, and reveals the influence of spatial correlation network on high-quality development. The study shows that: (1) The network density of spatial correlation of China’s high-quality development fluctuates and increases during the sample period, and the effect of spatial correlation is increasing. Eastern provinces, namely Shanghai, Beijing, and Jiangsu, hold a prominent position and exert a significant impact in the spatial correlation network of high-quality development. On the other hand, western and central provinces, including Inner Mongolia, Liaoning, and Anhui, have a marginal role in the network with low degrees of centrality. (2) Concerning the spatial correlation mechanism, the spatial correlation of the four dimensions of “innovation,” “green,” “openness,” and “sharing” serves as the primary driving force for high-quality development’s spatial correlation. The driving role of “innovation” and “coordination” has substantially increased after embarking on the new developmental stage, adding significance to the spatial correlation of the five dimensions. (3) The network structure of spatial correlation has a significant role on promoting high-quality development and reducing regional disparities. On the one hand, boosting the correlation between provinces for high-quality development and elevating the standing of individual provinces within the network can aid in such development. On the other hand, regional disparities in quality development can be reduced by improving the spatial correlation of quality development and making full use of the “bridge” function of provinces within the association network. By promoting the new “double-cycle” development pattern, the linkage network will be able to better play its positive role in high-quality development.

Key words: new development paradigm, high-quality development, spatial correlation, network effect

陈明华, 李倩, 初勤儒, 张腾文. 新发展格局下中国高质量发展的空间关联机制及网络效应研究[J]. 管理评论, 2025, 37(8): 55-66.

Chen Minghua, Li Qian, Chu Qinru, Zhang Tengwen. Study on the Spatial Correlation Mechanism and Network Effect of China’s High-quality Development under the New Development Paradigm[J]. Management Review, 2025, 37(8): 55-66.

参考文献

[1] 李敬,陈澍,万广华,等.中国区域经济增长的空间关联及其解释——基于网络分析方法[J].经济研究, 2014,49(11):4-16 Li J., Chen S., Wan G. H., et al. Study on the Spatial Correlation and Explanation of Regional Economic Growth in China-Based on Analytic Network Process[J]. Economic Research Journal, 2014,49(11):4-16
[2] 王小华,杨玉琪,罗新雨,等.中国经济高质量发展的空间关联网络及其作用机制[J].地理学报, 2022,77(8):1920-1936 Wang X. H., Yang Y. Q., Luo X. Y., et al. The Spatial Correlation Network and Formation Mechanism of China's High-quality Economic Development[J]. Acta Geographica Sinica, 2022,77(8):1920-1936
[3] 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 Bai J. H., Jiang F. X. Synergy Innovation, Spatial Correlation and Regional Innovation Performance[J]. Economic Research Journal, 2015,50(7):174-187
[4] 赵林,曹乃刚,韩增林,等.中国生态福利绩效空间关联网络演变特征与形成机制[J].自然资源学报, 2022,37(12):3183-3200 Zhao L., Cao N. G., Han Z. L., et al. Evolution Characteristics and Formation Mechanism of Spatial Correlation Network of Ecological Well-being Performance in China[J]. Journal of Natural Resources, 2022,37(12):3183-3200
[5] Borgatti S. P., Halgin D. S. On Network Theory[J]. Organization Science, 2011,22(5):1168-1181
[6] Meijers E. J., Burger M. J., Hoogerbrugge M. M. Borrowing Size in Networks of Cities:City Size, Network Connectivity and Metropolitan Functions in Europe[J]. Papers in Regional Science, 2016,95(1):181-198
[7] 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 Jin B. Study on the"High-quality Development"Economics[J]. China Industrial Economics, 2018,(4):5-18
[8] 李金昌,史龙梅,徐蔼婷.高质量发展评价指标体系探讨[J].统计研究, 2019,36(1):4-14 Li J. C., Shi L. M., Xu A. T. Probe into the Assessment Indicator System on High-quality Development[J]. Statistical Research, 2019,36(1):4-14
[9] 詹新宇,崔培培.中国省际经济增长质量的测度与评价——基于"五大发展理念"的实证分析[J].财政研究, 2016,(8)40-53 Zhan X. Y., Cui P. P. Estimation and Evaluation of China's Provincial Quality of Economic Growth-Empirical Analysis Based on "Five Development Concepts" [J]. Public Finance Research, 2016,(8):40-53
[10] 聂长飞,简新华.中国高质量发展的测度及省际现状的分析比较[J].数量经济技术经济研究, 2020,37(2):26-47 Nie C. F., Jian X. H. Measurement of China's High-quality Development and Analysis of Provincial Status[J]. The Journal of Quantitative&Technical Economics, 2020,37(2):26-47
[11] 王山,刘文斐,刘玉鑫.长三角区域经济一体化水平测度及驱动机制——基于高质量发展视角[J].统计研究, 2022,39(12):104-122 Wang S., Liu W. F., Liu Y. X. Measurement and Driving Mechanism of Regional Economic Integration in Yangtze River Delta:Based on the Perspective of High-quality Development[J]. Statistical Research, 2022,39(12):104-122
[12] 薛永刚.城市群经济高质量发展空间收敛、动态演进以及创新影响研究——"珠三角"和"长三角"的对比分析[J].管理评论, 2022,34(12):131-145 Xue Y. G. Research on Spatial Convergence, Dynamic Evolution and Innovation Impact of High Quality Economic Development in Urban Agglomeration-A Comparative Analysis of Pearl River Delta and Yangtze River Delta[J]. Management Review, 2022,34(12):131-145
[13] 刘传明,马青山.黄河流域高质量发展的空间关联网络及驱动因素[J].经济地理, 2020,40(10):91-99 Liu C. M., Ma Q. S. Spatial Association Network and Driving Factors of High Quality Development in the Yellow River Basin[J]. Economic Geography, 2020,40(10):91-99
[14] 刘华军,贾文星.中国区域经济增长的空间网络关联及收敛性检验[J].地理科学, 2019,39(5):726-733 Liu H. J., Jia W. X. Spatial Network Correlation and Convergence Test of Regional Economic Growth in China[J]. Scientia Geographica Sinica, 2019,39(5):726-733
[15] 叶连广,何雄浪,邓菊秋.经济关联网络对民族地区县域经济增长的影响效应[J].民族学刊, 2023,14(2):40-55 Ye L. G., He X. L., Deng J. Q. The Effect of an Economic Linkage Network as for County Economic Growth in Ethnic Minority Areas[J]. Journal of Ethnology, 2023,14(2):40-55
[16] 邓世成,吴玉鸣.城市群绿色技术创新的空间网络结构特征及其效应研究——以成渝地区双城经济圈为例[J].管理学报, 2022,19(12):1756-1765 Deng S. C., Wu Y. M. Research on Spatial Network Structure Characteristics and Effects of Green Technology Innovation in Urban Agglomeration:Take Chengdu-Chongqing Economic Circle as an Example[J]. Chinese Journal of Management, 2022,19(12):1756-1765
[17] 刘华军,刘传明,孙亚男.中国能源消费的空间关联网络结构特征及其效应研究[J].中国工业经济, 2015,(5):83-95 Liu H. J., Liu C. M., Sun Y. N. Spatial Correlation Network Structure of Energy Consumption and Its Effect in China[J]. China Industrial Economics, 2015,(5):83-95
[18] 刘敏,薛伟贤,陈莎."一带一路"贸易网络能否促进各国全球价值链地位提升[J].管理评论, 2022,34(12):49-59 Liu M., Xue W. X., Chen S. Can Trade Network of the Belt and Road Countries Enhance the Status of the Global Value Chains[J]. Management Review, 2022,34(12):49-59
[19] 王雄,黄云,任晓航,等.数字普惠金融对居民消费的空间溢出效应研究[J].系统工程理论与实践, 2022,42(7):1770-1781 Wang X., Huang Y., Ren X. H., et al. The Spatial Spillover Effect of Digital Financial Inclusion on Residents'Consumption[J]. Systems Engineering-Theory&Practice, 2022,42(7):1770-1781
[20] 陈明华,王山,刘文斐,等.非线性视角下中国城市房价关联效应测度与分析[J].中国软科学, 2020,(10):96-106 Chen M. H., Wang S., Liu W. F., et al. Measurement and Analysis of Correlation Effect of Urban Housing Price under the Nonlinear Perspective[J]. China Soft Science, 2020,(10):96-106
[21] 于洋,朱建平,郭华生.新战略背景下城市经济发展状况测度研究——基于融合社会网络的实证分析[J].统计研究, 2021,38(3):30-43 Yu Y., Zhu J. P., Guo H. S. Research on the Measurement of Urban Economic Development Status in the Context of New Strategies-An Empirical Analysis Based on Social Network[J]. Statistical Research, 2021,38(3):30-43
[22] 刘军.整体网络分析:UCINET软件实用指南(第二版)[M].上海:格致出版社、上海人民出版社, 2014 Liu J. Lectures on Whole Network Analysis:A Practical Guide to UCINET (2nd)[M]. Shanghai:Gezhi Publishing House, Shanghai People's Publishing House, 2014
[23] 干春晖,郑若谷,余典范.中国产业结构变迁对经济增长和波动的影响[J].经济研究, 2011,46(5):4-16 Gan C. H., Zheng R. G., Yu D. F. An Empirical Study on the Effects of Industrial Structure on Economic Growth and Fluctuations in China[J]. Economic Research Journal, 2011,46(5):4-16
[24] 赵伟,徐朝晖.测度中国省域经济"二重"开放[J].中国软科学, 2005,(8):81-90 Zhao W., Xu Z. H. Measuring the Dual Openness of Provincial Economies in China[J]. China Soft Science, 2005,(8):81-90
[25] 邵汉华,周磊,刘耀彬.中国创新发展的空间关联网络结构及驱动因素[J].科学学研究, 2018,36(11):2055-2069 Shao H. H., Zhou L., Liu Y. B. Study on the Spatial Network Structure and Driving Factors of Regional Innovation Development in China[J]. Studies in Science of Science, 2018,36(11):2055-2069
[26] 刘华军,雷名雨.中国雾霾污染区域协同治理困境及其破解思路[J].中国人口·资源与环境, 2018,28(10):88-95 Liu H. J., Lei M. Y. The Dilemma of the Regional Collaborative Governance of Haze Pollution and Its Solution Ideas in China[J]. China Population, Resources and Environment, 2018,28(10):88-95
[27] 张伟科,葛尧.对外直接投资对绿色全要素生产率的空间效应影响[J].中国管理科学, 2021,29(4):26-35 Zhang W. K., Ge Y. The Spatial Effect Analysis of OFDI on Green Total Factor Productivity[J]. Chinese Journal of Management Science, 2021,29(4):26-35
[28] 邵帅,徐俐俐,杨莉莉.千里"碳缘"一线牵:中国区域碳排放空间关联网络的结构特征与形成机制[J].系统工程理论与实践, 2023,43(4):958-983 Shao S., Xu L. L., Yang L. L. Structural Characteristics and Formation Mechanism of Carbon Emission Spatial Association Networks within China[J]. Systems Engineering-Theory&Practice, 2023,43(4):958-983
[29] 郝宪印,张念明.新时代我国区域发展战略的演化脉络与推进路径[J].管理世界, 2023,39(1):56-68 Hao X. Y., Zhang N. M. The Evolution and Promotion Path of China's Regional Development Strategy in the New Era[J]. Journal of Management World, 2023,39(1):56-68
[30] 沈丽,刘媛,李文君.中国地方金融风险空间关联网络及区域传染效应:2009-2016[J].管理评论, 2019,31(8):35-48 Shen L., Liu Y., Li W. J. China's Regional Financial Risk Spatial Correlation Network and Regional Contagion Effect:2009-2016[J]. Management Review, 2019,31(8):35-48
[31] 卞元超,吴利华,白俊红.高铁开通、要素流动与区域经济差距[J].财贸经济, 2018,39(6):147-161 Bian Y. C., Wu L. H., Bai J. H. High-speed Rail, Factor Flow and Regional Economic Disparities[J]. Finance&Trade Economics, 2018,39(6):147-161