Tall Tales or Success Stories? A Scrutiny of the Business Incubation Policy and Landscape in India.
Published In: Journal of Public Affairs (14723891), 2025, v. 25, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Gupta, Sonali; Sunder, D. L. 3 of 3
Abstract
Business incubators (BIs) have been in existence since the 1950s, and they claim to assist early‐stage entrepreneurs to convert ideas into sustainable enterprises by providing resources like space, mentoring, business services, networks, and capital. Governments across the world promote BI as a policy tool, but a deep dive into the literature shows limited empirical evidence about their effectiveness. With increasing investment of public funds into incubators, it is necessary to assess their performance and success in meeting the objective of enabling new ventures. Informational roadblocks in understanding the state of business incubation can lead to convenient assumptions that all is well with the policy and practice of business incubation. This article reviews the evolution of policy, practice, and literature on Business Incubation in India and finds a vacuum with respect to systematic studies and understanding of business incubation as a process. The paper concludes by advocating for an evidence‐based approach to policy formulation and emphasizes the need for rigorous evaluation and research to ascertain the true impact of BIs on India's entrepreneurial ecosystem. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Public Affairs (14723891). 2025/02, Vol. 25, Issue 1, p1
- Document Type:Literature Review
- Subject Area:Business and Management
- Publication Date:2025
- ISSN:1472-3891
- DOI:10.1002/pa.70014
- Accession Number:183822193
- Copyright Statement:Copyright of Journal of Public Affairs (14723891) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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