This paper investigates the relationship between disruptive technologies and access to finance for digital tech firms in Africa. Through textual analysis of data from Crunchbase
and Pitchbook, the study explores how firms across different age cohorts incorporate disruptive technologies into their offerings in e-commerce, fintech, and information technology services. It uses this information to examine the association between this incorporation process and the likelihood and amount of funding received by these firms. The findings reveal three key insights for African digital tech startups. First, these startups are less likely to incorporate disruptive technologies into their offerings compared to their Latin American and advanced market counterparts, except for mobile payments. Second, the link between disruptiveness and funding is weaker in Africa. These results hold when excluding mobile payments and addressing potential endogeneity using instrumental variables. Third, firms that do incorporate disruptive technologies tend to secure funding earlier, with lower initial amounts, but are more likely to succeed in terms of exit or valuation growth.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
The code was reproduced on a computer with the following specifications:
– OS: Windows 11 Enterprise
– Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
– Memory available: 15.7 GB
– Software version: Stata version 17, R version 4.2
~15 minutes runtime
To effectively run the package a new user should do the following. Download the package and secure access to the required external data sources, specifically Crunchbase and PitchBook. Place these external files in the designated folder within the package, and then update the file path in dofiles/Master.do to reflect their location. Additionally, specify the path for Rscript.exe if you plan to use R functionalities. Note that the package can operate without R installed, but it won't generate the map shown in Figure 1 without it.
This study employs a mix of public and licensed databases. The Crunchbase and Pitchbook databases are licensed, while all other sources are public and have been included in the reproducibility package. For further information, please refer to the README file within the reproducibility package.
Author | Affiliation | |
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Marcio Cruz | International Finance Corporation | marciocruz@ifc.org |
Mariana Pereira-Lopez | International Finance Corporation | mpereiralopez@ifc.org |
Edgar Salgado | International Finance Corporation | esalgadochavez@ifc.org |
2024-04
Location | Code |
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Africa | AFR |
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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Edgar Salgado | World Bank - International Finance Corporation | esalgadochavez@ifc.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 |
2024-04-09
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