生产函数模型如何体现数字经济特征:综述与展望

管理评论 ›› 2023, Vol. 35 ›› Issue (3): 30-38.

生产函数模型如何体现数字经济特征:综述与展望

刘颖¹, 杨璐铭¹, 李思瑞², 吕本富¹, 彭赓¹, 张晨¹

1. 中国科学院大学经济与管理学院, 北京 100190;
2. 布鲁塞尔自由大学欧洲经济学与统计学高级研究中心, 布鲁塞尔1050

收稿日期:2020-03-13 出版日期:2023-03-28 发布日期:2023-04-28
通讯作者: 吕本富（通讯作者），中国科学院大学经济与管理学院教授，博士生导师，博士。
作者简介:刘颖，中国科学院大学经济与管理学院副教授，硕士生导师，博士；杨璐铭，中国科学院大学经济与管理学院硕士研究生；李思瑞，布鲁塞尔自由大学欧洲经济学与统计学高级研究中心博士研究生；彭赓，中国科学院大学经济与管理学院教授，博士生导师，博士；张晨，中国科学院大学经济与管理学院硕士研究生。
基金资助:
国家社会科学基金重点项目（14AZD044）；国家自然科学基金重点项目（71532013）；国家自然科学基金面上项目（71972174；71871210）。

How the Production Function Model Reflects the Characteristics of Digital Economy: Overview and Prospect

Liu Ying¹, Yang Luming¹, Li Sirui², Lv Benfu¹, Peng Geng¹, Zhang Chen¹

1. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
2. ECARES, Université Libre de Bruxelles, Brussels, Belgium 1050

Received:2020-03-13 Online:2023-03-28 Published:2023-04-28

摘要/Abstract

摘要： 数字经济时代，生产函数模型是研究数字化进程对经济发展的影响，指导宏微观各层面数据收集、实证分析和政策制定的一种基本模型工具，如何在生产函数模型中体现数字经济的特征已然成为相关模型建构工作中备受关注的问题。本文从现有文献主要关注的数字技术和数字商品两方面的数字经济特征出发，重点梳理在产品生产过程、知识生产过程中引入数字技术的模型设定，以及数字商品生产的模型建构的相关文献；同时针对各类模型在现有研究中的主要应用进行总结。在此基础上，就现有模型的改进方向以及中国背景下的应用前景进行展望。

关键词: 生产函数, 数字技术, 数字商品, 自动化, 知识生产

Abstract: In the context of digital economy, production function model is a basic model tool to study the impact of digitization process on economy development, which can provide guidance for data collection, empirical analysis and policy making at both macro and micro levels. How to reflect the characteristics of digital economy in production function model has become a concern in the construction of relevant models. From the two perspectives of digital technology and digital goods, this paper focuses on sorting through the model settings of introducing digital technology in the product production process and knowledge production process, as well as the relevant literature on the model construction of digital goods production. At the same time, the main application scenarios of various models in the existing researches are summarized. On this basis, we look forward to the improvement direction of the existing model and the application prospects in China.

Key words: production function, digital technology, digital goods, automation, knowledge production

刘颖, 杨璐铭, 李思瑞, 吕本富, 彭赓, 张晨. 生产函数模型如何体现数字经济特征:综述与展望[J]. 管理评论, 2023, 35(3): 30-38.

Liu Ying, Yang Luming, Li Sirui, Lv Benfu, Peng Geng, Zhang Chen. How the Production Function Model Reflects the Characteristics of Digital Economy: Overview and Prospect[J]. Management Review, 2023, 35(3): 30-38.

参考文献

[1] Lane N. Advancing the Digital Economy into the 21st Century[J]. Information Systems Frontiers, 1999,1(3):317-320
[2] Brynjolfsson E., Kahin B. Understanding the Digital Economy:Data, Tools,
and Research[M]. Cambridge:MIT Press, 2002
[3] Vogelsang M. Digitalization in Open Economies:Theory and Policy Implications[M]. New York:Springer Science&Business Media, 2010
[4] Goldfarb A., Greenstein S. M., Tucker C. E. Economic Analysis of the Digital Economy[M]. Chicago:University of Chicago Press, 2015
[5] Goldfarb A., Gans J., Agrawal A. The Economics of Artificial Intelligence:An Agenda[M]. Chicago:University of Chicago Press, 2019
[6] Goldfarb A., Tucker C. Digital Economics[J]. Journal of Economic Literature, 2019,57(1):3-43
[7] Solow R. M. Technical Change and the Aggregate Production Function[J]. Review of Economics and Statistics, 1957,39(3):312-320
[8] Roy A. D. Some Thoughts on The Distribution of Earnings[J]. Oxford Economic Papers, 1951,3(2):135-146
[9] Kaplan J. Humans Need Not Apply:A Guide to Wealth and Work in the Age of Artificial Intelligence[M].
New Haven:Yale University Press, 2015
[10] Zeira J. Workers, Machines, and Economic Growth[J]. The Quarterly Journal of Economics, 1998,113(4):1091-1117
[11] Acemoglu D., Zilibotti F. Productivity Differences[J]. The Quarterly Journal of Economics, 2001,116(2):563-606
[12] Zeira J. Machines as Engines of Growth[R]. CEPR Discussion Paper, 2006
[13] Acemoglu D. When does Labor Scarcity Encourage Innovation?[J]. Journal of Political Economy, 2010,118(6):1037-1078
[14] Acemoglu D., Autor D. Skills, Tasks and Technologies:Implications for Employment and Earnings[A]. Handbook of Labor Economics[C]. Amsterdam:Elsevier, 2011
[15] Acemoglu D., Restrepo P. The Race between Man and Machine:Implications of Technology for Growth, Factor Shares, and Employment[J]. American Economic Review, 2018,108(6):1488-1542
[16] David H. Why Are There Still So Many Jobs?The History and Future of Workplace Automation[J]. Journal of Economic Perspectives, 2015,29(3):3-30
[17] Sala-i-Martin X. Regional Cohesion:Evidence and Theories of Regional Growth and Convergence[J]. European Economic Review, 1996,40(6):1325-1352
[18] Sachs J. D., Warner A. M. Fundamental Sources of Long-Run Growth[J]. American Economic Review, 1997,87(2):184-188
[19] Hall R. E., Jones C. I. Levels of Economic Activity across Countries[J]. American Economic Review, 1997,87(2):173-177
[20] Leontief W. W., Leontief W., Duchin F., et al. The Future Impact of Automation on Workers[M]. New York:Oxford University Press, 1986
[21] Acemoglu D., Restrepo P. Artificial Intelligence, Automation and Work[R]. NBER Working Paper, 2018
[22] 戴天仕,徐现祥.中国的技术进步方向[J].世界经济, 2010,(11):56-72
[23] 陈彦斌,林晨,陈小亮.人工智能、老龄化与经济增长[J].经济研究, 2019,54(7):47-63
[24] Feng A., Graetz G. Rise of the Machines:The Effects of Labor-Saving Innovations on Jobs and Wages[R]. IZA Discussion Papers, 2015
[25] Goos M., Manning A., Salomons A. Job Polarization in Europe[J]. American Economic Review, 2009,99(2):58-63
[26] 吴清华,周晓时,朱兰.工业机器人对就业的异质性影响--基于发展阶段与行业的分析[J].中国科技论坛, 2020,(4):74-82
[27] Acemoglu D., Restrepo P. Low-Skill and High-Skill Automation[J]. Journal of Human Capital, 2018,12(2):204-232
[28] 周云波,田柳,陈岑.经济发展中的技术创新、技术溢出与行业收入差距演变--对U型假说的理论解释与实证检验[J].管理世界, 2017,(11):35-49
[29] Aghion P., Jones B. F., Jones C. I. Artificial Intelligence and Economic Growth[R]. NBER Working Paper, 2017
[30] Frey C. B., Osborne M. A. The Future of Employment:How Susceptible are Jobs to Computerization?[J]. Technological Forecasting and Social Change, 2017,114:254-280
[31] Hawksworth J., Yuval F. What will be the Net Impact of AI and Related Technologies on Jobs in China?[R]. PWC Report, 2018
[32] Jones I. C. R&D-Based Models of Economic Growth[J]. Journal of Political Economy, 1995,103(4):759-784
[33] Good I. J. Speculations Concerning the First Ultraintelligent Machine[J]. Advances in Computers, 1965,99(6):31-83
[34] Vinge V. The Coming Technological Singularity:How to Survive in the Post-Human Era[J]. Science Fiction Criticism:An Anthology of Essential Writings, 1993,81:352-363
[35] Kurzweil R. The Singularity Is Near:When Humans Transcend Biology[M]. London:Penguin, 2005
[36] Nordhaus W. D. Are We Approaching an Economic Singularity?Information Technology and the Future of Economic Growth[R]. NBER Working Paper, 2015
[37] Aghion P., Antonin C., Bunel S. Artificial Intelligence, Growth and Employment:The Role of Policy[J]. Economics and Statistics, 2019,510(1):149-164
[38] Quah D. Digital Goods and the New Economy[R]. CEPR Discussion Paper, 2003
[39] Shapiro C., Carl S., Varian H. R., et al. Information Rules:A Strategic Guide to the Network Economy[M]. Boston:Harvard Business Press, 1998
[40] Kingma B. R. The Economics of Information:A Guide to Economic and Cost-Benefit Analysis for Information Professionals[M]. Washington, DC:Education Resources Information Center, 1996
[41] Mahnke V., Venzin M. How do Digital Information Good Characteristics Influence Pace and Modalities of International Market Entry?[R]. DRUID Working Paper, 2002
[42] Bakos Y., Brynjolfsson E. Bundling Information Goods:Pricing, Profits, and Efficiency[J]. Management Science, 1999,45(12):1613-1630
[43] Bakos Y., Brynjolfsson E. Bundling and Competition on the Internet[J]. Marketing Science, 2000,19(1):63-82
[44] Aguiar L., Waldfogel J. Quality Predictability and the Welfare Benefits from New Products:Evidence from the Digitization of Recorded Music[J]. Journal of Political Economy, 2018,126(2):492-524
[45] 王红娟.电子商务交易成本对数字商品的市场供求与定价策略影响[J].商业经济研究, 2017,(8):69-70
[46] Carlton D. W., Gans J. S., Waldman M. Why Tie a Product Consumers Do Not Use?[J]. American Economic Journal:Microeconomics, 2010,2(3):85-105
[47] Choi T. M. Handbook of Newsvendor Problems:Models, Extensions and Applications[M]. New York:Springer Science&Business Media, 2012
[48] 张宇,唐小我,钟林.在线信息产品捆绑定价研究[J].系统工程学报, 2008,23(3):331-337
[49] 李根道,熊中楷,李薇.基于收益管理的动态定价研究综述[J].管理评论, 2010,22(4):97-108
[50] 周木生,张玉林.基于非线性边际支付意愿的信息产品定价策略研究[J].系统工程理论与实践, 2014,34(3):710-716
[51] 林旭东,马利军,田歆.数字盗版控制策略研究综述与展望--法律、技术与企业运营层面的分析视角[J].管理评论, 2018,30(6):93-103
[52] Armstrong M. Competition in Two-Sided Markets[J].
The RAND Journal of Economics, 2006,37(3):668-691
[53] Patterson M. R. Google and Search Engine Market Power[R]. Fordham Law Legal Studies Research Paper, 2012
[54] 李子庆,谭德庆.考虑用户情绪效用情况下的网络视频运营商市场策略研究[J].管理评论, 2019,31(1):147-154
[55] Grossman G. M., Helpman E. Quality Ladders in the Theory of Growth[J]. Review of Economic Studies, 1991,58(1):43-61
[56] Varian H. R. How to Build an Economic Model in Your Spare Time[J]. The American Economist, 2016,61(1):81-90
[57] Lankisch C., Prettner K., Prskawetz A. Robots and the Skill Premium:An Automation-based Explanation of Wage Inequality[R]. Hohenhm Discussion Papers in Business, Economics and Social Sciences, 2017
[58] Prettner K. A Note on the Implications of Automation for Economic Growth and the Labor Share[J]. Macroeconomic Dynamics, 2019,23(3):1294-1301
[59] Domingos P. The Master Algorithm:How the Quest for the Ultimate Learning Machine will Remake Our World[M]. New York:Basic Books, 2015
[60] Walsh T. Machines That Think:The Future of Artificial Intelligence[M]. Amherst, NY:Prometheus Books, 2018
[61] 刘昌新,吴静,王晓明.数字经济国民经济核算应顺势而为[N].经济日报, 2019-06-19(016)
[62] Goolsbee A. Public Policy in an AI Economy[R]. NBER Working Paper, 2018