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The interaction effects of environmental regulation and technological innovation on regional green growth performance

机译:环境监管与技术创新对区域绿色增长绩效的互动影响

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As green growth is considered an effective method to save energy and reduce emissions, the questions of how to achieve it and which factors drive green growth have become hot topic. Although there are some studies on the factors impacting the achievement of green growth, they are limited in quantity. Moreover, most of them are primarily focused on specific influencing factors, such as political factors, environmental regulation (ER), technological innovation (TI), and so on; while there is little discussion of the interaction effects in an integrated methodological framework. Accordingly, this paper develops an integrated model to investigate the relationships among ER, TI and regional green growth performance (RGGP). The model is tested using empirical data on 30 provincial administrative regions in China during 2011-2012 by employing structural equation modeling (SEM) approach that can effectively investigate the relationships between observed and latent variables and the relationships among latent variables simultaneously. The hypothesis H-1 of this paper is not confirmed, and the results show that ER has a significant negative effect on RGGP. Both the hypotheses H-2 and H-3 are confirmed, namely, ER significantly positively influences TI, and TI has a positive impact on RGGP. This finding provides empirical evidence to support the Porter Hypothesis that properly designed ER may positively affect RGGP through motivating TI. According to the results of hypotheses H-1, H-2 and H-3, we find that ER couldn't directly promote RGGP, but RGGP will be positively impacted by TI driven ER. The finding supports the view of ecological modernization theory that green growth practices may be promoted by TI driven ER, but whether ER can bring green growth practices is uncertain. Furthermore, the finding indicates that TI is a bridge for linking ER and RGGP. Based on our findings, we present some important implications that can be useful for policy-makers and enterprise managers to promote green growth practices in China. (C) 2017 Elsevier Ltd. All rights reserved.
机译:由于绿色增长被认为是节省能源和减少排放的有效方法,因此如何实现绿色增长以及哪些因素推动绿色增长的问题已成为热门话题。尽管对影响绿色增长的因素进行了一些研究,但数量有限。此外,它们中的大多数主要集中于特定的影响因素,例如政治因素,环境法规(ER),技术创新(TI)等;而在一个综合的方法论框架中很少讨论相互作用的影响。因此,本文开发了一个集成模型来研究ER,TI与区域绿色增长绩效(RGGP)之间的关系。使用结构方程模型(SEM)方法,使用中国30个省级行政区在2011-2012年期间的经验数据对模型进行了测试,该方法可以有效地研究观测变量和潜在变量之间的关系以及潜在变量之间的关系。本文的假设H-1尚未得到证实,结果表明ER对RGGP具有明显的负面影响。假设H-2和H-3均得到确认,即ER对TI具有明显的正影响,而TI对RGGP具有正影响。这一发现提供了支持Porter假说的经验证据,Porter假说设计得当的ER可以通过激励TI来积极影响RGGP。根据假设H-1,H-2和H-3的结果,我们发现ER不能直接促进RGGP,但是RGGP将受到TI驱动的ER的积极影响。该发现支持生态现代化理论的观点,即TI驱动的ER可以促进绿色增长实践,但是ER是否可以带来绿色增长实践尚不确定。此外,该发现表明TI是连接ER和RGGP的桥梁。根据我们的发现,我们提出了一些重要的启示,对于决策者和企业管理者在中国推广绿色增长做法可能有用。 (C)2017 Elsevier Ltd.保留所有权利。

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