1 邓明.人口年龄结构与中国省际技术进步方向.经济研究,2014;3:130-143 Deng Ming. 2014. Age Structure of Population and China's Provincial Technical Progress Direction. Economic Research Journal 3:130-143. 2 韩凤芹,蔡佳颖.引才政策、空间溢出与创新提升——基于城市空间异质性的实证.科学学研究,2022;12:2138-2149 Han Fengqin and Cai Jiaying. 2022. Talent Introduction Policy, Space Spillover, and Innovation Promotion: Empirical Analysis Based on Urban Spatial Heterogeneity. Studies in Science of Science 12:2138-2149. 3 蒋长流,司怀涛.人口老龄化、人力资本结构与科技创新——基于空间杜宾与中介效应模型的实证研究.北京科技大学学报(社会科学版),2022;5:593-603 Jiang Changliu and Si Huaitao. 2022. Population Ageing, Human Capital Structure, and Innovation in Science and Technology: An Empirical Study Based on Spatial Durbin Model and Mediation Effect. Journal of University of Science and Technology Beijing (Social Sciences Edition) 5:593-603. 4 江艇,孙鲲鹏,聂辉华.城市级别、全要素生产率和资源错配.管理世界,2018;3:38-50+77+183 Jiang Ting, Sun Kunpeng, and Nie Huihua. 2018. Administrative Rank, Total Factor Productivity, and Resource Misallocation in Chinese Cities. Journal of Management World 3:38-50+77+183. 5 刘斌,王禹.人口老龄化如何影响工业机器人使用?人口研究,2024;1:85-102 Liu Bin and Wang Yu. 2024. How Does Population Ageing Affect the Application of Industrial Robots? Population Research 1:85-102. 6 任明丽,孙琦.补充医疗保险会促进老年家庭旅游消费吗?——来自CHARLS数据的经验分析.旅游学刊,2023;2:30-46 Ren Mingli and Sun Qi. 2023. Does Supplementary Medical Insurance Promote the Tourism Consumption of Elderly Families? Empirical Analysis from CHARLS Data. Tourism Tribune 2:30-46. 7 沈可,李雅凝.中国的人口老龄化如何影响科技创新?——基于系统GMM方法与动态面板门槛模型的经验证据.人口研究,2021;4:100-113 Shen Ke and Li Yaning. 2021. How Does Population Ageing Impact Technological Innovation in China? Evidence Based on System GMM Method and Dynamic Threshold Regression. Population Research 4:100-113. 8 陶涛,张毅松,韩杰.人口负增长时代人口规模结构变动对科技创新的影响.人口学刊,2023;1:21-36 Tao Tao, Zhang Yisong, and Han Jie. 2023. The Influence of Population Scale and Structure Change on Scientific and Technological Innovation in Negative Population Growth Era. Population Journal 1:21-36. 9 杨振,丁启燕,王宇.中国人口老龄化水平的时空差异与收敛性检验.西北人口,2017;4:11-17+23 Yang Zhen, Ding Qiyan, and Wang Yu. 2017. Temporal-spatial Differences and Convergence Test of Population Ageing in China. Northwest Population Journal 4:11-17+23. 10 余泳泽.中国区域创新活动的“协同效应”与“挤占效应”——基于创新价值链视角的研究.中国工业经济,2015;10:37-52 Yu Yongze. 2015. The Synergistic Effect and Crowing out Effect of Chinese Regional Innovation Activities: Based on the Perspective of Innovation Value Chain. China Industrial Economics 10:37-52. 11 翟振武,金光照,张逸杨.人口老龄化会阻碍技术创新吗?东岳论丛,2021;11:24-35+191 Zhai Zhenwu, Jin Guangzhao, and Zhang Yiyang. 2021. Will Population Ageing Hinder Technological Innovation? Dongyue Tribune 11:24-35+191. 12 张杰,高德步,夏胤磊.专利能否促进中国经济增长——基于中国专利资助政策视角的一个解释.中国工业经济,2016;1:83-98 Zhang Jie, Gao Debu, and Xia Yinlei. 2016. Do Patents Drive Economic Growth in China:An Explanation Based on Government Patent Subsidy Policy. China Industrial Economics 1:83-98. 13 张晶,陈志龙.劳动力成本上升与中国制造业转移.统计研究,2021;6:70-85 Zhang Jing and Chen Zhilong. 2021. Rising Labor Cost and the Transfer of Manufacturing Sector in China. Statistical Research 6:70-85. 14 张俊良,詹韵秋.社会资本对老年人口消费结构优化的影响研究.湘潭大学学报(哲学社会科学版),2023;3:24-29 Zhang Junliang and Zhan Yunqiu. 2023. Study on the Influence of Social Capital on the Optimization of Consumption Structure of the Elderly Population. Journal of Xiangtan University(Philosophy and Social Sciences) 3:24-29. 15 赵星,王林辉.中国城市创新集聚空间演化特征及影响因素研究.经济学家,2020;9:75-84 Zhao Xing and Wang Linhui. 2020. Study on the Spatial Evolution Characteristics and Influencing Factors of Innovation Agglomeration of Cities in China. Economist 9:75-84. 16 Acemoglu D. and Restrepo P. 2022. Demographics and Automation. The Review of Economic Studies 1:1-44. 17 Ashworth M.J. 2006. Preserving Knowledge Legacies: Workforce Ageing, Turnover and Human Resource Issues in the US Electric Power Industry. International Journal of Human Resource Management 9:1659-1688. 18 Cai J. and Stoyanov A. 2016. Population Ageing and Comparative Advantage. Journal of International Economics 4:1-21. 19 Cattell R.B. 1987. Intelligence: Its Structure, Growth and Action. Amsterdam: North-Holland: 94. 20 Gittins T., Lang R., and Sass M. 2015. The Effect of Return Migration Driven Social Capital on SME Internationalisation: A Comparative Case Study of IT Sector Entrepreneurs in Central and Eastern Europe. Review of Managerial Science 9:385-409. 21 Gonzales E.M. and Niepelt D. 2012. Ageing, Government Budgets, Retirement and Growth. European Economic Review 1:97-115. 22 Hansen B.E. 1999. Threshold Effects in Non-dynamic Panels: Estimation, Testing, and Inference. Journal of Econometrics 2:345-368. 23 Kanfer R. and Ackerman P. 2000. Individual Differences in Work Motivation: Further Explorations of a Trait Framework. Applied Psychology 3:470-482. 24 Lancia F. and Prarolo G. 2012. A Politico-economic Model of Ageing, Technology Adoption, and Growth. Journal of Population Economics 3:989-1018. 25 LeSage J. and Pace R.K. 2009. Introduction to Spatial Econometrics. Boca Raton: Chapman & Hall/CRC: 34-38. 26 Liang J., Wang H., and Lazear E.P. 2018. Demographics and Entrepreneurship. Journal of Political Economy 1:140-196. 27 Mao R. and Xu J. 2014. Population Ageing, Consumption Budget Allocation, and Sectoral Growth. China Economic Review 30:44-65. 28 Nusbaum E. C. and Silvia P. J. 2011. Are Intelligence and Creativity Really so Different? Fluid Intelligence, Executive Processes, and Strategy Use in Divergent Thinking. Intelligence 1:36-45. 29 United Nations. 2022. World Population Prospects 2022, Online Edition. https://population.un.org/wpp/. 30 Zhang B., Zhou R., Yang L., and Zhang X. 2023. Population Ageing and Corporate Innovation: Evidence from China. Asia-Pacific Journal of Accounting & Economics 4:986-1007. |