Organizational Capital, Skills and Productivity

IF 1.9 3区 经济学 Q2 ECONOMICS Review of Income and Wealth Pub Date : 2024-01-08 DOI:10.1111/roiw.12663
Emile Cammeraat, Lea Samek, Mariagrazia Squicciarini
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Abstract

This paper studies how industries' investment in organizational capital (OC) and workforce skills relate to productivity, building on OECD estimates of OC, output data from the OECD Structural Analysis (STAN) database, and skill indicators from the OECD Programme for the International Assessment of Adult Competencies (PIAAC). The paper finds that, at the industry level, workers' numeracy and Science, Technology, Engineering and Mathematics (STEM) skills correlate positively with productivity, and that the positive correlation of STEM skills with productivity is generally larger for OC workers. Moreover, dispersion in Information and Communication Technology (ICT) skills harms industry performance. In fact, a gap between the ICT skills of OC and non-OC workers seems to trigger a “lost in translation” type of mechanism, whereby communication and information flows become less fluid and impinge upon the economic performance of sectors, correlating negatively with productivity.
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组织资本、技能和生产力
本文基于经合组织对组织资本(OC)的估算、经合组织结构分析(STAN)数据库中的产出数据以及经合组织成人能力国际评估计划(PIAAC)中的技能指标,研究了各行业在组织资本(OC)和劳动力技能方面的投资与生产率之间的关系。本文发现,在行业层面,工人的算术和科学、技术、工程与数学(STEM)技能与生产率呈正相关,而对于 OC 工人而言,STEM 技能与生产率的正相关性通常更大。此外,信息和通信技术(ICT)技能的分散也会损害行业绩效。事实上,OC 工人与非 OC 工人在 ICT 技能方面的差距似乎会引发一种 "失语 "机制,即通信和信息流动变得不那么流畅,影响各部门的经济表现,与生产率呈负相关。
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来源期刊
CiteScore
4.00
自引率
10.00%
发文量
62
期刊介绍: The major objective of the Review of Income and Wealth is to advance knowledge on the definition, measurement and interpretation of national income, wealth and distribution. Among the issues covered are: - national and social accounting - microdata analyses of issues related to income and wealth and its distribution - the integration of micro and macro systems of economic, financial, and social statistics - international and intertemporal comparisons of income, wealth, inequality, poverty, well-being, and productivity - related problems of measurement and methodology
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