CNPaperData(简称CNPD)是一家基础数据资源服务商,荣获国家高新技术企业。立足大规模数据采集、清洗、挖掘技术研究,已申请专利/软著30余项。研发AI分布式数据采集框架、自动化数据清洗算法、AI智能识别算法、另类数据信息抽取算法,可结合前沿文献资料与研究团队研究数据需求,精心打造定制大数据集。
CNPaperData作为数据皮皮侠的战略合作伙伴,为数据皮皮侠团队提供坚实数据支撑与技术支持。助力数据皮皮侠借鉴Compustat、WRDS等国际知名数据库及FT50期刊专业标准,打造中国特色经济管理社会科学研究型数据库。涵盖上市公司、企业、省份、地级市、县域、高校、人物等研究对象,涵盖经济、法律、金融、政策、科技、文化、健康、环保、人口等各类热门数据。
近期,我们参考《经济研究》《管理世界》《世界经济》、The American Economic Review、Econometrica、The Quarterly Journal of Economics、Management Science、Journal of Political Economy、 Journal of Labor Economics、Journal of Environmental Economics and Management、Journal of Business Ethics、Journal of Urban Economics、Review of Economics and Statistics等顶刊论文构建加班、专利、海关、官员、职业大数据等大数据集,开发越早研究价值越大,尽早使用尽早发TOP!
CNPD前沿大数据合集(点击下方数据名称跳转详情)
01 中国县域官员数据库
代表性衍生数据
代表性衍生数据
代表性衍生数据
05 中国海关数据库
代表性衍生数据
代表性衍生数据
代表性衍生数据
获取上述所有数据,请咨询学术顾问
参考文献
[1]Hu, Jiayin, Songrui Liu, Yang Yao, and Zhu Zong. 2025. “Government Deleveraging and the Reverse Crowding-in Effect: Evidence from Subnational Debt and Government Contractors.” Accepted at Management Science.
[2]Yang, J., Fan, D., & Li, C. (2025). Employee Overtime and Innovation Dilemma. Journal of Business Ethics, 1-25.
[3]Bombardini, M.; Gallipoli, G. and Pupato, G. “Skill Dispersion and
Trade Flows.” The American Economic Review, 2012, 102 (5), pp. 2327‒2348.
[4]陈琳,高悦蓬,余林徽.人工智能如何改变企业对劳动力的需求?——来自招聘平台大数据的分析[J].管理世界,2024,40(06):74-93.
[7]Zeng, Jiangnan, and Qiyao Zhou. "Mayors’ promotion incentives and subnational-level GDP manipulation." Journal of Urban Economics 143 (2024): 103679.
[8]Wei T, Yuan W, Jiameng W U. Local favoritism in China's public procurement: Information frictions or incentive distortion?[J]. Journal of Urban Economics, 2025, 145: 103716.
[9]Wang, Zhi, Qinghua Zhang, and Li-An Zhou. "Career incentives of city leaders and urban spatial expansion in China." Review of Economics and Statistics 102.5 (2020): 897-911.
[10]Wu,Mingqin, and Xun Cao. 2021. Greening the Career Incentive Structure for Local Officials in China: Does Less Pollution Increase the Chances of Promotion for Chinese Local Leaders? Journal of Environmental Economics and Management 107:102440.
[11]宣扬,武凯文.超时加班与劳动收入份额:基于卫星夜间灯光的经验证据[J].世界经济,2023,46(10):217-240.
[12]Acemoglu, D.; Autor, D. and Hazell, J. “Artificial Intelligence and Jobs: Evidence from Online Vacancies.” Journal of Labor Economics, 2022, 40(S1), pp.293‒340.
[13]Acemoglu,D. and Restrepo,P.,2020,“Robots and Jobs:Evidence from Us Labor Markets”,Journal of Political Economy,Vol.128(6),pp.2188~2244.
[14]Acemoglu,D. and Restrepo,P.,2022,“Tasks,Automation,and the Rise in U.S. Wage Inequality”,Econometrica,Vol.90(5),pp.1973~2016.
[15]Bartel,A.,Ichniowski,C. and Shaw,K.,2007,“How Does Information Technology Affect Productivity?Plant~Level Comparisons of Product Innovation,Process Improvement,and Worker Skills”,The Quarterly Journal of Economics,Vol.122(4),pp.1721~1758.

