政策强度、政策协同和区域创新绩效：基于粤港澳大湾区科技人才政策的实证研究

摘要/Abstract

摘要： 本文以粤港澳大湾区2001-2020年的科技人才政策为研究对象,通过描述性统计与政策文本量化分析,制定科技人才政策量化标准,计算科技人才政策协同度,揭示政策部门、目标、工具协同特征及演变规律,并构建柯布-道格拉斯生产函数模型,应用岭回归分析探究政策目标协同与政策工具协同对于区域创新绩效的影响。研究结果表明:第一,随着人才强国战略推进,粤港澳大湾区科技人才政策发布数量整体增长,但存在地区差异;第二,政策目标结构不均衡,重人才质量与人才效益,轻人才流动与人才规模,政策工具使用不均衡,环境型政策工具运用相对不足;第三,政策发布部门合作增强,政策目标与政策工具协同性均呈现上升趋势;第四,不同政策目标与工具协同对于区域创新绩效的影响具有显著方向性差异,并非所有协同都有助于提升区域创新绩效。研究结论对于推动粤港澳大湾区科技人才资源的有效配置,为政府制定人才精准政策具有重要的参考价值。

关键词: 政策协同, 区域创新绩效, 科技人才政策, 粤港澳大湾区

Abstract: Taking the science and technology talent policies of 9+2 cities in Guangdong-Hong Kong-Macao Great Bay Area from 2001 to 2020 as research object, this paper describes the characteristics and evolution patterns of the synergy among policy departments, objectives and tools through descriptive statistics and quantitative analysis of policy texts, and then constructs a production function model and applies ridge regression analysis to study the mechanism of how the synergy between policy objective and policy tool influences regional innovation performance. Based on the research, some findings are as follows. Firstly, with the promotion of the strategy on developing a quality workforce, the number of science and technology talent policies issued in Guangdong-Hong Kong-Macao Great Bay Area has increased overall, but there are regional differences. Secondly, policy objectives are not structurally balanced, as reflected in great importance attached to talent quality and efficiency but little attention paid to the flow and scale of talents; the use of policy tools is also unbalanced, with environmental policy tools used insufficiently. Thirdly, the cooperation among policy publishing departments strengthens, resulting in enhanced synergy of policy objectives and a trend towards comprehensive utilization of various policy tools. Fourthly, the impact of different policy objectives and tools on regional innovation performance has significant directional differences, and not all synergies are conducive to improving regional innovation performance. The research conclusions are meaningful for promoting the effective allocation of scientific and technological talent resources in the Guangdong-Hong Kong-Macao Greater Bay Area, for the government to formulate precise talent policies, and for promoting regional coordinated development and international competitiveness.

Key words: policy synergy, regional innovation performance, science and technology talent policy, Guangdong-Hong Kong-Macao Greater Bay Area

龙云凤, 任志宽, 孟鸿, 吴婕洵. 政策强度、政策协同和区域创新绩效：基于粤港澳大湾区科技人才政策的实证研究[J]. 管理评论, 2026, 38(5): 91-104.

Long Yunfeng, Ren Zhikuan, Meng Hong, Wu Jiexun. Policy Intensity,Policy Synergy,and Innovation Performance: An Empirical Study Based on the Science and Technology Talent Policy in the Guangdong-Hong Kong-Macao Greater Bay Area[J]. Management Review, 2026, 38(5): 91-104.

参考文献

[1] 童盼,陈笑.强制性分红政策与企业创新——基于分部经理寻租的视角[J].管理评论, 2022,34(5):109-123 Tong P., Chen X. Mandatory Dividend Policy and Enterprise Innovation-Based on the Perspective of Division Manager Rent-seeking[J]. Management Review, 2022,34(5):109-123
[2] 徐娟,张梦潇,罗天雨.科技人才政策对区域创新绩效的门槛效应研究[J].技术经济, 2023,42(7):1-12 Xu J., Zhang M. X., Luo T. Y. Study on the Threshold Effect of Science and Technology Talent Policy on Regional Innovation Performance[J]. Technology Economics, 2023,42(7):1-12
[3] Stiglitz J. E. Leaders and Followers:Perspectives on the Nordic Model and the Economics of Innovation[J]. Journal of Public Economics, 2015,127:3-16
[4] 汤超颖,高晋宇.科技人才政策复合系统协同度分析:以粤港澳大湾区为例[J].科技管理研究, 2022,42(13):115-122 Tang C. Y., Gao J. Y. Analysis on the Synergy of the Science and Technology Talent Policy Composite System:Taking the Guangdong-Hong Kong-Macao Greater Bay Area as an Example[J]. Science and Technology Management Research, 2022,42(13):115-122
[5] 孙殿超,刘毅,王春明.粤港澳大湾区科技创新人才政策演化特征及关系网络分析[J].世界科技研究与发展, 2022,44(2):199-209 Sun D. C., Liu Y.,Wang C. M. Analysis on the Evolution Characteristics and Social Network of Science and Technology Innovation Talent Policy in Guangdong-Hong Kong-Macao Great Bay Area[J]. World Sci-Tech R&D, 2022,44(2):199-209
[6] 蒋兴华,范心雨,袁瑜容,等.粤港澳大湾区科技创新体系构建与协同机制研究——基于一般系统模块理论的分析[J].研究与发展管理, 2022,34(6):157-166 Jiang X. H., Fan X. Y., Yuan Y. R., et al. Construction and Synergy Mechanism of S&T Innovation System in Guangdong-HongKong-Macao Greater Bay Area-Based on Modular Theory of General Systems[J]. R&D Management, 2022,34(6):157-166
[7] Zhang Z., Li J., Chen Y., et al. Mapping the Educational Frontier:Unleashing the Potential of Artificial Intelligence Talents through Cooperative Planning in the Guangdong-Hong Kong-Macao Greater Bay Area[J]. Heliyon, 2024,10(2):e24168
[8] 孙鲲鹏,罗婷,肖星.人才政策、研发人员招聘与企业创新[J].经济研究, 2021,56(8):143-159 Sun K. P., Luo T., Xiao X. Talent Policy, R&D Recruitment and Corporate Innovation[J]. Economic Research Journal, 2021,56(8):143-159
[9] 彭纪生,仲为国,孙文祥.政策测量、政策协同演变与经济绩效:基于创新政策的实证研究[J].管理世界, 2008,(9):25-36 Peng J. S., Zhong W. G., Sun W. X. Policy Measurement, Policy Synergy Evolution and Economic Performance:An Empirical Study Based on Innovation Policy[J]. Journal of Management World, 2008,(9):25-36
[10] 徐喆,李春艳.我国科技政策演变与创新绩效研究——基于政策相互作用视角[J].经济问题, 2017,(1):11-16 Xu Z., Li C. Y. S&T Policy's Evolution and Innovation Effects in China:Based on Policy's Interaction[J]. On Economic Problems, 2017,(1):11-16
[11] 黄萃,任弢,张剑.政策文献量化研究:公共政策研究的新方向[J].公共管理学报, 2015,12(2):129-137 Huang C., Ren T., Zhang J. Policy Documents Quantitative Research:A New Direction for Public Policy Study[J]. Journal of Public Administration, 2015,12(2):129-137
[12] 刘凤朝,孙玉涛.我国科技政策向创新政策演变的过程、趋势与建议——基于我国289项创新政策的实证分析[J].中国软科学, 2007,(5):34-42 Liu F. C., Sun Y. T. The Course of, Trend in and Proposal for Evolution from S&T Policies to Innovation Policies:Based on the Empirical Analysis of China's 289 Innovation Policy Documents[J]. China Soft Science, 2007,(5):34-42
[13] 郑代良,钟书华. 1978-2008:中国高新技术政策文本的定量分析[J].科学学与科学技术管理, 2010,31(4):176-181 Zheng D. L., Zhong S. H. Quantitative Analysis on High-tech Policy Texts in China from 1978 to 2008[J]. Science of Science and Management of S.&T., 2010,31(4):176-181
[14] 杨书越,陈稹.老龄化背景下生育政策、教育政策的协同调整对宏观经济的影响[J].管理评论, 2023,35(2):79-93 Yang S. Y., Chen Z. The Impact of Coordinated Adjustment of Birth Policy and Education Policy on Macro-economy under the Background of Ageing[J]. Management Review, 2023,35(2):79-93
[15] 杨艳,郭俊华,余晓燕.政策工具视角下的上海市人才政策协同研究[J].中国科技论坛, 2018,(4):148-156 Yang Y., Guo J. H., Yu X. Y. Shanghai's Talent Policy Coordination from the Perspective of Policy Tools[J]. China Forum on Science and Technology, 2018,(4):148-156
[16] 徐喆,李春艳.我国科技政策组合特征及其对产业创新的影响研究[J].科学学研究, 2017,35(1):45-53 Xu Z., Li C. Y. S&T Policy Mix Characteristics and Their Impact on Industrial Innovation in China[J]. Studies in Science of Science, 2017,35(1):45-53
[17] 李冬琴.中国科技创新政策协同演变及其效果:2006-2018[J].科研管理, 2022,43(3):1-8 Li D. Q. The Synergistic Evolution and Effects of the Science and Technologyinnovation Policies in China from 2006 to 2018[J]. Science Research Management, 2022,43(3):1-8
[18] 龙云凤.广东省创新政策环境现状及问题分析[J].科技管理研究, 2014,34(15):29-34 Long Y. F. Analysis on Status and Problems of Innovation Policy in Guangdong[J]. Science and Technology Management Research, 2014,34(15):29-34
[19] 周密,胡清元.区域科技创新政策协同的多维度文本分析——基于京津冀和长三角的异质性视角[J].首都经济贸易大学学报, 2022,24(6):59-76 Zhou M., Hu Q. Y. Multidimensional Textual Analysis of Regional Science and TechnologyInnovation Policy Coordination-Heterogeneity Perspective of Beijing-Tianjin-Hebei and Yangtze River Delta[J]. Journal of Capital University of Economics and Business, 2022,24(6):59-76
[20] 龙云凤,刘威.粤港澳大湾区科技协同创新体系建设对策研究[J].情报工程, 2021,7(2):46-56 Long Y. F., Liu W. Research on the Countermeasures for Construction of Scientific andTechnological Collaborative Innovation System in the Guangdong-HongKong-Macao Greater Bay Area[J]. Intelligence Engineering, 2021,7(2):46-56
[21] 周业安,高新雅.区域综合性创新政策能够提升当地的创新能力吗——基于西部大开发的经验实证研究[J].经济管理, 2008,30(S3):31-38 Zhou Y., Gao X. Y. Can the Comprehensive Regional Innovation Policies to Enhance the Local Innovation Ability?-Based on the Experience of Development of the West Regions of the Empirical Study[J]. Economic Management, 2008,30(S3):31-38
[22] 陈升,何增华,顾娟.科技创新政策对省域创新绩效的空间计量分析[J].科学学研究, 2020,38(1):24-33 Chen S., He Z. H., Gu J. The Space Econometric Analysis of the Innovation Performance of Province by Science and Technology Innovation Policy[J]. Studies in Science of Science, 2020,38(1):24-33
[23] 程华,钱芬芬.政策力度、政策稳定性、政策工具与创新绩效——基于2000-2009年产业面板数据的实证分析[J].科研管理, 2013,34(10):103-108 Cheng H., Qian F. F. Research on the Relationship between Innovation Performance and the Power, Stability and Instruments of Policy-Empirical Analysis Based on 2000-2009 Industry Panel Data[J]. Science Research Management, 2013,34(10):103-108
[24] 何增华,陈升.科技创新政策对创新资源-绩效的跨层调节影响机制[J].科学学与科学技术管理, 2020,41(4):19-33 He Z. H., Chen S. The Cross-level Adjustment Influencing Mechanism of Science and Technology Innovation Policies on Innovation Resources-Performance[J]. Science of Science and Management of S.&T., 2020,41(4):19-33
[25] 孙继德,计喆.产业政策力度对建设项目创新绩效的影响研究——基于区域创新环境与知识创造水平的考量[J].工业技术经济, 2022,41(5):3-11 Sun J. D., Ji Z. Effect Mechanism of Industrial Policy Strength on Innovation Performance of Construction Projects-Considering Regional Innovation Environment and Knowledge Creation Level[J]. Industrial Technology Economics, 2022,41(5):3-11
[26] 邓多杰,张峥.基于系统动力学的高技术企业技术创新绩效研究[J].技术与创新管理, 2022,43(4):398-407 Deng D. J., Zhang Z. Study on the Technological Innovation Performance of High-tech Enterprises Based on System Dynamics[J]. Technology and Innovation Management, 2022,43(4):398-407
[27] Hoppmann J., Peters M., Schneider M., et al. The Two Faces of Market Support-How Deployment Policies Affect Technological Exploration and Exploitation in the Solar Photovoltaic Industry[J]. Research Policy, 2013,42(4):989-1003
[28] 陈升,顾娟,何增华."一带一路"相关文件政策强度与省域经济开放度关系研究——"一带一路"沿线18个省份实证分析[J].重庆大学学报(社会科学版), 2021,27(2):23-43 Chen S., Gu J., He Z. H. Research on the Relationship between the Policy Strength of "the Belt and Road" Related Documents and the Provincial Economic Openness:An Empirical Analysis of 18 Provinces along "the Belt and Road" [J]. Journal of Chongqing University (Social Sciences Edition), 2021,27(2):23-43
[29] Deng J., Zhang N., Ahmad F., et al. Local Government Competition, Environmental Regulation Intensity and Regional Innovation Performance:An Empirical Investigation of Chinese Provinces[J]. International Journal of Environmental Research and Public Health, 2019,16(12):2130
[30] Rita S. S., Roberto G. Beyond R&D:A Configurational Approach to Open Innovation in the Veneto Region[J]. European Planning Studies, 2023,31(5):1050-1069
[31] 杜红亮,任昱仰.新中国成立以来中国海外科技人才政策演变历史探析[J].中国科技论坛, 2012,(3):18-23 Du H. L., Ren Y. Y. The Policy Evolvement History of Overseas/Foreign Talent in Science and Technology Since the Founding of the PRC[J]. China Science and Technology Forum, 2012,(3):18-23
[32] 宁甜甜,张再生.基于政策工具视角的我国人才政策分析[J].中国行政管理, 2014,(4):82-86 Ning T. T., Zhang Z. S. An Analysis of Talent Policy in China Based on the Policy Tool Perspective[J]. Chinese Public Administration, 2014,30(4):82-86
[33] 李欣,马文雅,林芬芬.基于政策多维度分析的中国科技人才政策量化研究[J].中国科技论坛, 2023,(10):105-118 Li X., Ma W. Y., Lin F. F. Quantitative Research of China's Science and Technology Talent Policy Based on Policy Multidimensional Analysis[J]. China Forum on Science and Technology, 2023,(10):105-118
[34] 石磊,熊嘉慧,李金雨,等.政策工具视角下中国科技人才政策量化分析[J].科技管理研究, 2024,44(5):22-31 Shi L., Xiong J. H., Li J. Y., et al. Quantitative Analysis of China's Science and Technology Policy on Talents from the Perspective of Policy Tools[J]. Science and Technology Management Research, 2024,44(5):22-31
[35] Sun W., Peng J., Zhong W., et al. Why No Absorption:An Empirical Study on the Evolution and Performance of Chinese Technology Policy[C]. Proceeding of the 3rd International Symposium on Global Manufacturing and China, 2007
[36] Zellner A., Kmenta J., Dreze J. Specification and Estimation of Cobb-Douglas Production Function Models[J]. Econometrica:Journal of the Econometric Society, 1966,34(4):784-795
[37] 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
[38] Rothwell R., Zegveld W. Reindusdalization and Technology[M]. London:Logman Group Limited, 1985
[39] 陈静,黄萃,苏竣.数字技术赋能与协同治理网络:基于J市环境治理实践的分析[J].公共行政评论, 2024,17(4):55-72 Chen J., Huang C., Su J. Digital Technology Empowerment and Collaborative Governance Network:An Analysis Based on Environmental Governance Practice in J City[J]. Public Administration Review, 2024,17(4):55-72
[40] 杨楠.岭回归分析在解决多重共线性问题中的独特作用[J].统计与决策, 2004,20(3):14-15 Yang N. The Unique Role of Ridge Regression Analysis in Solving the Problem of Multicollinearity[J]. Statistics and Decision, 2004,20(3):14-15
[41] García J., Salmern R., García C., et al. Standardization of Variables and Collinearity Diagnostic in Ridge Regression[J]. International Statistical Review, 2016,84(2):245-266
[42] 肖振红,范君荻.科技人力资源投入对区域创新绩效的影响研究[J].科学学研究, 2019,37(11):1944-1954 Xiao Z. J., Fan J. D. Research on the Impact of Scientific and Technological Human Resources Input on Regional Innovation Performance[J]. Studies in Science of Science, 2019,37(11):1944-1954