在数字时代,什么将推动全球经济增长?

IF 0.7 4区 经济学 Q3 ECONOMICS Studies in Nonlinear Dynamics and Econometrics Pub Date : 2022-06-24 DOI:10.1515/snde-2021-0079
J. Growiec
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引用次数: 1

摘要

摘要本文对未来长期经济增长的可能来源进行了理论研究。从历史上看,在工业时代和正在进行的数字革命(大约始于20世纪80年代)期间,全球经济增长的主要引擎一直是研发,转化为系统性劳动,促进技术进步和劳动生产率的趋势增长。然而,如果未来所有重要的生产或研发任务最终都将实现自动化,那么增长的引擎将转向可编程硬件(资本)的积累,研发将失去其重要性。然后,经济增长将加速,不再受到稀缺人力投入的限制。相比之下,如果一些重要的生产和研发任务永远无法完全自动化,那么研发可能永远是主要的增长引擎,人力投入可能永远是全球增长的稀缺和限制因素。其他研究的机制包括研发资本的积累和硬件增强技术变革。
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What will drive global economic growth in the digital age?
Abstract This paper provides a theoretical investigation of possible sources of long-run economic growth in the future. Historically, in the industrial era and during the ongoing digital revolution (which began approximately in the 1980s) the main engine of global economic growth has been research and development (R&D), translating into systematic labor-augmenting technological progress and trend growth in labor productivity. If in the future all essential production or R&D tasks will eventually be subject to automation, though, the engine of growth will be shifted to the accumulation of programmable hardware (capital), and R&D will lose its prominence. Economic growth will then accelerate, no longer constrained by the scarce human input. By contrast, if some essential production and R&D tasks will never be fully automatable, then R&D may forever remain the main growth engine, and the human input may forever remain the scarce, limiting factor of global growth. Additional studied mechanisms include the accumulation of R&D capital and hardware-augmenting technical change.
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来源期刊
CiteScore
1.40
自引率
12.50%
发文量
34
期刊介绍: Studies in Nonlinear Dynamics & Econometrics (SNDE) recognizes that advances in statistics and dynamical systems theory may increase our understanding of economic and financial markets. The journal seeks both theoretical and applied papers that characterize and motivate nonlinear phenomena. Researchers are required to assist replication of empirical results by providing copies of data and programs online. Algorithms and rapid communications are also published.
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