This paper explores new firm-level data to examine the gender gap in technology adoption and the associated effect on firm performance. The data show a small difference in technology sophistication between firms managed by women and those managed by men, but there are larger differences in terms of labor productivity. Firms with female top managers are just as likely to adopt the most sophisticated technologies for general business functions that are common across all firms except for enterprise resource planning. However, firms managed by women adopt advanced technologies less frequently for sector-specific business functions. The study also finds that firms with higher technology sophistication tend to have higher productivity and the returns to the use of more sophisticated technologies are larger in businesses managed by women, which helps to narrow the productivity gap between firms managed by women and those managed by men.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced using a virtual verification. The author's computer has the following specifications:
• OS: Windows 11 Enterprise
• Processor: 13th Gen Intel(R) Core(TM) i7-1365U 1.80 GHz
• Memory available: 31.3 GB usable
• Software version: Stata version 18
~16-minute runtime
The replication of the package was conducted virtually due to restrictions on data access. Currently, the reproducibility package contains only code, which will not execute without the data. Nevertheless, both the code and outputs are shared to demonstrate the process the authors followed to achieve their findings.
This study utilizes data from the Firm-level Adoption of Technology survey, which was directly implemented by the authors. The data are currently restricted and not included in the reproducibility package. The dataset will subsequently be made available through the World Bank Microdata Library.
For more detailed information about the data source, please refer to the README file included in this package. If you require further assistance or have additional questions regarding the data, please feel free to contact one of the authors at xcirera@worldbank.org.
Author | Affiliation | |
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Xavier Cirera | World Bank | xcirera@worldbank.org |
Marcio Cruz | World Bank | marciocruz@ifc.org |
Antonio Martins-Neto | World Bank | asmartins@worldbank.org |
Kyungmin Lee | World Bank | klee12@worldbank.org |
Caroline Nogueira | World Bank | cnogueira@worldbank.org |
2024-05
Location | Code |
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World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Xavier Cirera | World Bank | xcirera@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2024-05-14
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