Financing Sustainable Entrepreneurship: ESG Measurement, Valuation, and Performance

23 Pages Posted: 1 Jan 2022 Last revised: 23 Sep 2022

See all articles by Sasan Mansouri

Sasan Mansouri

University of Groningen - Faculty of Economics and Business; Goethe University Frankfurt; Halle Institute for Economic Research

Paul P. Momtaz

Technische Universität München (TUM) - TUM School of Management; University College London Center for Blockchain Technologies; Syracuse University - Whitman School of Management; CESifo (Center for Economic Studies and Ifo Institute)

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Date Written: December 31, 2021

Abstract

Sustainability orientation has a positive effect on startups’ initial valuation and a negative effect on their post-funding financial performance. All else equal, improving sustainability orientation by one standard deviation increases startups’ funding amount by 28% and decreases investors’ abnormal returns per post-funding year by 16%. The results hold in a large sample of blockchain-based crowdfunding campaigns, also known as Initial Coin Offerings (ICOs) or token offerings. A key contribution is a machine-learning approach to assess startups’ Environment, Society and Governance (ESG) properties from textual data, which we make readily available at www.SustainableEntrepreneurship.org.

Keywords: Sustainable Entrepreneurship, Sustainability, ESG, Token Offering, Initial Coin Offering (ICO), Crowdfunding, Entrepreneurial Finance, Machine Learning

JEL Classification: L26, M13, Q01, Q56

Suggested Citation

Mansouri, Sasan and Momtaz, Paul P., Financing Sustainable Entrepreneurship: ESG Measurement, Valuation, and Performance (December 31, 2021). Journal of Business Venturing, Vol. 37, No. 6, 2022, Available at SSRN: https://ssrn.com/abstract=3997723 or http://dx.doi.org/10.2139/ssrn.3997723

Sasan Mansouri

University of Groningen - Faculty of Economics and Business ( email )

Postbus 72
9700 AB Groningen
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Goethe University Frankfurt ( email )

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HOME PAGE: http://www.sasanm.de

Halle Institute for Economic Research

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Paul P. Momtaz (Contact Author)

Technische Universität München (TUM) - TUM School of Management ( email )

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Munich, 80333
Germany

University College London Center for Blockchain Technologies ( email )

UCL CBT UCL Computer Science
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Syracuse University - Whitman School of Management ( email )

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