Removing guesswork from SMME development: leveraging data for smarter policy design

The aim of this policy brief is to demonstrate how the curation of administrative data sources, particularly access to tax records, can play a crucial role in bridging the data gap about the performance of SMMEs in South Africa. High quality, granular data is a prerequisite for smarter policy design that avoids a one-size-fits-all approach. This is crucial due to the unique and distinctive characteristics of various types of SMMEs, each facing a diverse set of challenges and needs.

Publication Details

Journal
Figshare
Published
2025-03-28
DOI
https://doi.org/10.14749/28683122
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
0.00
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article

Removing guesswork from SMME development: leveraging data for smarter policy design

Figshare
demographic modeling and climate adaptation
article

Removing guesswork from SMME development: leveraging data for smarter policy design

article en

Abstract

The aim of this policy brief is to demonstrate how the curation of administrative data sources, particularly access to tax records, can play a crucial role in bridging the data gap about the performance of SMMEs in South Africa. High quality, granular data is a prerequisite for smarter policy design that avoids a one-size-fits-all approach. This is crucial due to the unique and distinctive characteristics of various types of SMMEs, each facing a diverse set of challenges and needs.

Figshare
Openalex Percentile: Top 51%
demographic modeling and climate adaptation
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Removing guesswork from SMME development: leveraging data for smarter policy design · Figshare (2025) | TGRS Research Map | TGRS