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

机译:预期的自我监管和信息来源的开放性如何驱动企业实施生态创新?韩国制造企业的证据

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摘要

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.
机译:基于制度理论和在广度和深度上对外部资源开放的概念,本研究从外部和内部因素的角度研究了以下三个未被充分研究的生态创新驱动因素:预期的调节和自我调节是外部驱动因素,以及信息采购的开放性包括作为内部驱动力的广度和重要性。为此,本研究采用了从《 2010年韩国创新调查》中收集的1824家韩国制造企业样本,该样本与《奥斯陆手册》和《欧盟统计局共同体创新调查》(CIS)兼容。当前的研究对九个二进制结果变量采用多元概率模型,对计数变量采用零膨胀负二项式(ZINB)回归模型。研究发现,预期的监管和自我监管都对九种生态创新类型的生态过程创新和生态产品创新产生积极影响。关于外部资源的广度影响的实证研究结果以及从外部资源中获取的二手信息对创新活动的重要性,表明该广度和重要性都对企业所从事的生态创新类型的数量产生积极影响。订婚。

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