Abstract
A country's national income broadly depends on the quantity and quality of workers and capital. But how well these factors are managed within and between firms may be a key determinant of a country's productivity and its GDP. Although social scientists have long studied the role of management practices in shaping business performance, their primary tool has been individual case studies. While useful for theory-building, such qualitative work is hard to scale and quantify. We present a large, scalable dataset measuring structured management practices at the business level across multiple countries. We measure practices related to performance monitoring, target-setting, and human resources. We document a set of key stylized facts, which we label "the international empirics of management". In all countries, firms with more structured practices tend to also have superior economic performance: they are larger in scale, are more profitable, have higher labor productivity and are more likely to export. This consistency was not obvious ex-ante, and being able to quantify these relationships is valuable. We also document significant variation in practices across and within countries, which is important in explaining differences in the wealth of nations. The positive relationship between firm size and structured management practices is stronger in countries with more open and free markets, suggesting that stronger competition may allow firms with more structured management practices to grow larger, thereby potentially raising aggregate national income.
| Original language | English |
|---|---|
| Article number | e2412205121 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Volume | 121 |
| Issue number | 45 |
| DOIs | |
| Publication status | Published - 5 Nov 2024 |
Bibliographical note
Publisher Copyright:Copyright © 2024 the Author(s). Published by PNAS. This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
Funding
ACKNOWLEDGMENTS. Any opinions and conclusions expressed herein are those of the authors and do not represent the views of the U.S. Census Bureau, the Board of Governors of the Federal Reserve System or its staff, or the Bank of Italy. The Census Bureau has ensured appropriate access and use of confidential information and has reviewed these results for disclosure avoidance protection (Project 7512395: CBDRB-FY22-CES008-004 and CBDRB-FY23-0519). This work was produced using statistical data from the UK Office of National Statistics (ONS). The use of the ONS statistical data in this work does not imply the endorsement of the ONS in relation to the interpretation or analysis of the statistical data. This work uses research datasets which may not exactly reproduce National Statistics aggregates. Kambayashi and Ohyama received a research grant from JSPS KAKENHI Grant #18H03633. We thank participants at the 2022 Empirical Management Conference, the 2023 Federal Statistical Research Data Centers Annual Conference, and the 2024 Allied Social Sciences Association Annual Meeting for helpful comments. This work was supported by the Economic and Social Research Council [grant number ES/V009478/1].
| Funders | Funder number |
|---|---|
| Japan Society for the Promotion of Science | 18H03633 |
| Japan Society for the Promotion of Science | |
| Economic and Social Research Council | ES/V009478/1 |
| Economic and Social Research Council |
Keywords
- firm performance
- management practices
- misallocation
- productivity
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