The Economic Impact of the Blue Economy

Q4 Mathematics
A. Olteanu, V. Stinga
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引用次数: 2

Abstract

For many countries the marine, costal and maritime sectors represent an important foundation for sustainable development. This is why in order to deliver and achieve it, many countries extend their economy beyond land based activities. A sustainable blue economy in every country depends not only on their maritime and marine zones, but also on their existing economic activities and their issues regarding the environmental, social, and cultural conditions. The main objective of the “blue economy” is to ensure environmental sustainability while promoting social inclusion, economic growth and preservation or improvement of livelihoods (UNCTAD 2014, UNDESA 2014). According to the World Bank in Europe, the Blue Economy represents nearly 5.4 million jobs and generates a gross added value of approximately €500 billion per year. In order to have a sustainable blue economy each country should find the best way to balance sustainability and economic growth to allow optimal use of maritime resources, ensuring at the same time maximum benefit to the environment. Throughout this paper, we tried to emphasize the economic impact of the Blue economy, by analyzing the key sectors: maritime transport, cruise tourism, aquaculture and offshore oil and gas. In each country, some of these sectors need little encouragement and additional governance, while others required better and more efficient planning in order to obtain sustainable outcomes.
蓝色经济的经济影响
对许多国家来说,海洋、沿海和海事部门是可持续发展的重要基础。这就是为什么为了实现和实现这一目标,许多国家将其经济扩展到陆地活动之外。每个国家的可持续蓝色经济不仅取决于其海洋和海洋区域,还取决于其现有的经济活动以及有关环境、社会和文化条件的问题。“蓝色经济”的主要目标是确保环境的可持续性,同时促进社会包容、经济增长和保护或改善生计(UNCTAD 2014, unesa 2014)。根据世界银行在欧洲的数据,蓝色经济每年创造近540万个就业岗位,创造约5000亿欧元的总增加值。为了实现可持续的蓝色经济,每个国家都应该找到平衡可持续性和经济增长的最佳途径,以实现海洋资源的最佳利用,同时确保对环境的最大效益。在整篇文章中,我们试图通过分析海上运输、邮轮旅游、水产养殖和海上油气等关键部门来强调蓝色经济的经济影响。在每个国家,其中一些部门几乎不需要鼓励和额外的治理,而另一些部门则需要更好和更有效的规划,以获得可持续的成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Computational Technologies
Journal of Computational Technologies Mathematics-Applied Mathematics
CiteScore
0.60
自引率
0.00%
发文量
37
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