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基于Pearson关联模型的长三角地区海洋战略性新兴产业发展的影响因素 被引量:4

The Affecting Factors of the Development of Marine Strategic Emerging Industries in the Yangtze River Delta Region Based on Pearson Association Model
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摘要 为优化长三角地区海洋战略性新兴产业布局,促进区域海洋经济的转型升级,文章采用Pearson关联模型,选取2014年长三角地区11个沿海城市的代表性数据,分别计算和分析海洋战略性新兴产业增加值与其影响因素的相关系数,并提出建议。研究结果表明:长三角地区海洋战略性新兴产业发展较好,但存在增速较缓和区域不平衡等问题;与长三角地区海洋战略性新兴产业增加值极强相关和强相关的主要为经济发展水平和科技支撑力度2个方面的影响因素;长三角地区海洋战略性新兴产业布局应优先考虑经济和科技较发达的城市,并逐渐带动和辐射其他沿海城市和周边内陆城市,促进整体发展。 In order to optimize the layout of marine strategic emerging industries in the Yangtze River Delta region and promote the transformation and upgrading of regional marine economy,the paper used Pearson correlation model to select representative data of 11 coastal cities in the Yangtze River Delta region in 2014 to calculate and analyze the correlation between the added value and its influencing factors of marine strategic emerging industries respectively,also suggestions were given.The results showed that the strategic emerging industries in the Yangtze River Delta region are developing well,but there are problems such as slower growth rate and regional imbalance.What mainly extremely strong related and strong related to the added value of marine strategic emerging industries in the Yangtze River Delta region are economic development level and scientific and technological support.The layout of marine strategic emerging industries in the Yangtze River Delta should give priority to cities with developed economy and technology,and gradually drive and radiate other coastal cities and surrounding inland cities to promote overall development.
作者 童心 谭春兰 朱清澄 TONG Xin;TAN Chunlan;ZHU Qingcheng(College of Economics and Management,Shanghai Ocean University,Shanghai 201306,China;College of Marine Science,Shanghai Ocean University,Shanghai 201306,China)
出处 《海洋开发与管理》 2019年第6期52-54,共3页 Ocean Development and Management
基金 国家科技支撑计划项目“大洋性渔业捕捞技术与新资源开发”(2013BAD13B05)
关键词 海洋经济 新兴产业 海洋产业 产业布局 相关系数 Marine economy Emerging industry Marine industry Industrial layout Correlation coefficient
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