Department of International Commerce, Finance, and Investment, Kyung Hee University, Seoul 02447, Korea.
Narendra Paul Loomba Department of Management, Zicklin School of Business, Baruch College, City University of New York, New York, NY 10010, USA.
Int J Environ Res Public Health. 2019 Jul 26;16(15):2678. doi: 10.3390/ijerph16152678.
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.
本研究基于制度理论和广度与深度层面的外部资源开放性概念，探讨了以下三个鲜有关注的生态创新驱动因素，包括外部因素的预期监管和自我监管，以及内部因素的信息资源开放性（包括广度和重要性）。为此，本研究采用了 2010 年韩国创新调查中收集的 1824 家韩国制造企业的样本，该样本与奥斯陆手册和欧盟统计局的社区创新调查（CIS）兼容。当前研究采用多元概率比例模型对九个二元因变量和零膨胀负二项（ZINB）回归模型对计数变量进行了分析。研究结果表明，预期监管和自我监管均积极影响了所有九种生态创新类型的生态工艺创新和生态产品创新。关于外部资源广度和外部获取信息重要性对创新活动影响的实证结果表明，广度和重要性均对企业参与的生态创新类型数量产生了积极影响。
