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《外资部门在西班牙生物经济中的作用:基于 SAM 线性模型的两种方法》。

The Role of the Foreign Sector in the Spanish Bioeconomy: Two Approaches Based on SAM Linear Models.

机构信息

Markets and Financial Analysis Research Group, Department of Business Management, Universitat Rovira i Virgili, 43204 Reus, Spain.

出版信息

Int J Environ Res Public Health. 2020 Dec 15;17(24):9381. doi: 10.3390/ijerph17249381.

DOI:10.3390/ijerph17249381
PMID:33333837
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7765276/
Abstract

The bioeconomy emerges as an opportunity to focus on a more sustainable economy, avoid dependence on non-renewable resources and help to mitigate negative environmental impacts. The bioeconomy is considered a priority for the European Union and for Spain, which launched its strategy in 2016. To promote the Spanish bioeconomy, the impact and variables that may influence its development must be known. While previous works have analyzed the domestic sectors, this paper focuses on analyzing the economic importance of Spanish bioeconomy products and on the influence of and the existing links between the foreign sector and the rest of the economy. For this purpose, we apply two different methodologies based on linear social accounting matrix (SAM) models. The linkages show that many bioeconomy products have the potential to promote the rest of the economy and the values of some product multipliers become more significant due to their import dependence. These results enable us to know the structure of the Spanish bioeconomy and the relationships within its account. This analysis is a useful tool for developing policies focused on fostering the bioeconomy and economic growth.

摘要

生物经济的出现为关注更可持续的经济提供了机会,避免了对不可再生资源的依赖,并有助于减轻负面的环境影响。生物经济被认为是欧盟和西班牙的优先事项,西班牙于 2016 年推出了其战略。为了促进西班牙的生物经济,必须了解可能影响其发展的影响和变量。虽然之前的研究工作分析了国内部门,但本文侧重于分析西班牙生物经济产品的经济重要性,以及外国部门与经济其他部门之间的联系和存在的联系。为此,我们应用了两种基于线性社会核算矩阵(SAM)模型的不同方法。这些联系表明,许多生物经济产品具有促进经济其他部门的潜力,并且由于其进口依赖性,一些产品乘数的价值变得更加显著。这些结果使我们能够了解西班牙生物经济的结构及其账户内的关系。这种分析是制定以促进生物经济和经济增长为重点的政策的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6337/7765276/0d326fe7a55c/ijerph-17-09381-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6337/7765276/181e528d5f2b/ijerph-17-09381-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6337/7765276/14f22a43dc7b/ijerph-17-09381-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6337/7765276/84c0a00ec7de/ijerph-17-09381-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6337/7765276/0d326fe7a55c/ijerph-17-09381-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6337/7765276/181e528d5f2b/ijerph-17-09381-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6337/7765276/14f22a43dc7b/ijerph-17-09381-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6337/7765276/84c0a00ec7de/ijerph-17-09381-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6337/7765276/0d326fe7a55c/ijerph-17-09381-g004.jpg

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