How Do Anticipated and Self Regulations and Information Sourcing Openness Drive Firms to Implement Eco-Innovation? Evidence from Korean Manufacturing Firms

Cheon Yu, Junghoon Park and Yun Seop Hwang
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Cheon Yu: Department of International Commerce, Finance, and Investment, Kyung Hee University, Seoul 02447, Korea
Junghoon Park: Narendra Paul Loomba Department of Management, Zicklin School of Business, Baruch College, City University of New York, New York, NY 10010, USA
Yun Seop Hwang: Department of International Business and Trade, Kyung Hee University, Seoul 02447, Korea

IJERPH, 2019, vol. 16, issue 15, 1-21

Abstract: Building upon institutional theory and the concept of openness to external sources in terms of breadth and depth, this study investigates the following three understudied drivers of eco-innovation in terms of external and internal factors: Anticipated regulation and self-regulation as external drivers, and information sourcing openness comprised of breadth and importance as internal drivers. Toward this end, this study employs a sample of 1824 Korean manufacturing firms collected from the Korean Innovation Survey 2010, which is compatible with the Oslo Manual and the Eurostat Community Innovation Survey (CIS). The current research adopts a multivariate probit model for the nine binary outcome variables and a zero-inflated negative binomial (ZINB) regression model for a count variable. It is found that, both anticipated regulation and self-regulation positively affect eco-process innovation and eco-product innovation across all of the nine eco-innovation types. The empirical findings on the effects of the breadth of external sources and the importance of used information acquired from external sources for innovative activities indicate that both the breadth and the importance have positive impacts on the number of types of eco-innovation with which a firm is engaged.

Keywords: eco-innovation; institutional theory; anticipated regulation; self-regulation; information sourcing openness; multivariate probit model; zero inflated negative binomial model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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