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创新与 CO 排放:经合组织经济体中生态专利和商标的互补作用。

Innovation and CO emissions: the complimentary role of eco-patent and trademark in the OECD economies.

机构信息

School of Management, Jiangsu University, Zhenjiang, 212013, People's Republic of China.

Data Link Institute, Tema, Ghana.

出版信息

Environ Sci Pollut Res Int. 2019 Aug;26(22):22878-22891. doi: 10.1007/s11356-019-05558-4. Epub 2019 Jun 8.

DOI:10.1007/s11356-019-05558-4
PMID:31177415
Abstract

Increasing global emissions has led to research on the role of innovations play combating emissions. Mitigations from innovation perspective have mainly been focused on the role of patent, ignoring the role of trademarks. We therefore investigate the mitigating power of patent and trademarks in the OECD economies, benchmarking patent as the traditional mitigation strategy. Examining the complimentary role, we created an interaction term between patent and trademark. Our study divided the OECD economies into four subpanels which are OECD America, OCED Asia, OECD Europe, and OECD Oceania. We employed the Im, Pesaran and Shin W-stat, Augmented Dickey-Fuller, and Phillips Perron unit root tests, as well as cross-sectional dependence and Westerlund cointegration tests for the preliminary test on the variables. We also adopted ARDL approach to cointegration, Granger causality test, and OLS in examining the relationship between CO and patent, trademark, urbanization, and economic growth. Findings show that jointly, eco-patents and trademarks mitigate CO emissions. Also, bidirectional or unidirectional causal relationship was established between our variables of study, an indication that most of our variables can be used in forecasting one other.

摘要

全球排放量的增加促使人们研究创新在减排中的作用。从创新的角度来看,减排措施主要集中在专利的作用上,而忽略了商标的作用。因此,我们调查了专利和商标在经合组织经济体中的减排能力,将专利作为传统的减排策略进行基准测试。为了研究互补作用,我们在专利和商标之间创建了一个交互项。我们的研究将经合组织经济体分为四个子面板,即经合组织美洲、经合组织亚洲、经合组织欧洲和经合组织大洋洲。我们采用了 Im、Pesaran 和 Shin W 统计量、增广迪基-富勒检验和菲利普斯-珀罗恩单位根检验,以及横截面相关性和韦斯特朗德协整检验对变量进行初步检验。我们还采用了 ARDL 方法进行协整、格兰杰因果检验和 OLS 来检验 CO 与专利、商标、城市化和经济增长之间的关系。研究结果表明,生态专利和商标共同减轻了 CO 排放。此外,我们研究变量之间建立了双向或单向因果关系,表明我们的大多数变量都可以用于预测其他变量。

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