Entrepreneurial Quality and Startup Growth in India

20 Pages Posted: 7 Sep 2019 Last revised: 28 Jul 2022

See all articles by Neha Narain

Neha Narain

University of Pennsylvania - School of Engineering & Applied Science

Valentina Assenova

University of Pennsylvania - The Wharton School

Date Written: February 12, 2019

Abstract

This study estimates and maps the quality of entrepreneurship in India, using government census data for the universe of 1,542,555 registered micro, small and medium enterprises (MSMEs) with known founding dates, spanning all 29 states in India. To our knowledge, this is the first study of its kind to quantify and characterize the quality of entrepreneurship in India based on cohort growth outcomes and firm characteristics at the time of founding. Methodologically, we define and estimate the probability of firms achieving two types of growth outcomes: attaining a “public” corporation status within a set timeframe after founding (5-years, 10-years, 15-years), and achieving a set annual employee growth rate. We find that firms’ cluster status at the time of founding predicted 58% higher probability of going “public” within 10 years, the original purchase value of assets predicted 62% higher probability of going public and 66% higher probability of employee growth, and that being in an urban district predicted 35% lower probability of going public and 33% lower probability of achieving employee growth. We then measure entrepreneurial quality using the results of our predictive models to calculate the Entrepreneurial Quality Index (EQI) and the Regional Entrepreneurship Cohort Potential Index (RECPI). We map the spatial distribution of entrepreneurial quality in India by EQI and RECPI, compare to patterns in the U.S., and propose directions for future research.

Keywords: entrepreneurship; entrepreneurial quality; entrepreneurial performance; India

JEL Classification: D22; D23; M13

Suggested Citation

Narain, Neha and Assenova, Valentina, Entrepreneurial Quality and Startup Growth in India (February 12, 2019). Available at SSRN: https://ssrn.com/abstract=3449777 or http://dx.doi.org/10.2139/ssrn.3449777

Neha Narain

University of Pennsylvania - School of Engineering & Applied Science ( email )

220 S 33rd St
Philadelphia, PA 19104
United States

Valentina Assenova (Contact Author)

University of Pennsylvania - The Wharton School ( email )

3620 Locust Walk
SHDH Suite 2000
Philadelphia, PA 19104-6370
United States

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