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  • 标题:Financial Development and Environmental Quality: Empirical Evidence for Morocco
  • 本地全文:下载
  • 作者:Jamal Sekali ; Mohamed Bouzahzah
  • 期刊名称:International Journal of Energy Economics and Policy
  • 电子版ISSN:2146-4553
  • 出版年度:2019
  • 卷号:9
  • 期号:2
  • 页码:67-74
  • DOI:10.32479/ijeep.7266
  • 出版社:EconJournals
  • 摘要:This study was conducted to determine the effect of green innovation on firm value with environmental management accounting as an intervening variable. Companies that are able to create green innovation will not only get the economic benefits but also the competitive advantage, therefore it will increase the value of the firm. The application of green innovation will be able to improve the application of environmental management accounting, thereby reducing the impact of environmental damage due to the company's business processes. With manufacturing and the main sector's companies listed on the BEI 2012-2015 as the population, using purposive sampling, this study has obtained 277 companies as a sample. The result shows that green innovation has an effect on environmental management accounting, while environmental management accounting has proven to affect firm value, and green innovation has an influence on firm value.
  • 其他摘要:This paper explores the effects of financial development on environmental quality in Morocco using time series data over the period of 1980-2015 and ARDL modeling (autoregressive distributive lag model). Here, several variables representing financial development, economic growth, and energy consumption were explored. The model shows the existence of a link, though not statistically a significant one, between financial development and C02 emissions. This said, the government is highly in need to engage a development process that promotes a balance between the environmental, economic, and social dimensions.
  • 关键词:financial development; C02 emissions; environmental performance; Autoregressive Distributed Lag Model.
  • 其他关键词:financial development; C02 emissions; environmental performance; Autoregressive Distributed Lag Model.
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