基于VAR模型的海洋教育、科技成果应用与经济增长的动态关系研究
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摘要
海洋教育是拉动海洋经济增长的持久动力,海洋科技成果应用是提高海洋经济增长速度的催化剂,二者对推动海洋经济快速发展具有十分重要的作用。文章选取中国1996年—2016年海洋教育、海洋科技成果应用与海洋经济增长的数据,利用VAR模型对海洋教育、海洋科技成果应用与海洋经济增长三者之间的关系进行了实证分析。研究表明:三者之间存在长期均衡关系;海洋经济增长是海洋教育的格兰杰原因,反之亦然;最后提出一些可行化建议:当前需要推动海洋科技成果的转化,加大海洋教育的投入,促进海洋经济的发展。
Marine education has been a major driving force for the growth of marine economy, and the application of marine scientific and technological achievements is a catalyst for increasing the growth rate of the marine economy. Both of them play a significant role in promoting the rapid development of the marine economy. In this paper, the data of marine education, application of marine scientific and technological achievements, and the marine economic growth from 1996 to 2016 in China is selected as the research object. The VAR model is used to empirically analyze the relationship between marine education, application of marine scientific and technological achievements and marine economic growth. The research shows that there exists a long-term equilibrium relationship among the three aspects; More specific, marine economic growth is the Granger cause of marine education, but not vice versa; Finally, some feasible policy suggestions are put forward to promote the transformation of marine scientific and technological achievements,increase investment in marine education and the development of the marine economy.
Marine education has been a major driving force for the growth of marine economy, and the application of marine scientific and technological achievements is a catalyst for increasing the growth rate of the marine economy. Both of them play a significant role in promoting the rapid development of the marine economy. In this paper, the data of marine education, application of marine scientific and technological achievements, and the marine economic growth from 1996 to 2016 in China is selected as the research object. The VAR model is used to empirically analyze the relationship between marine education, application of marine scientific and technological achievements and marine economic growth. The research shows that there exists a long-term equilibrium relationship among the three aspects; More specific, marine economic growth is the Granger cause of marine education, but not vice versa; Finally, some feasible policy suggestions are put forward to promote the transformation of marine scientific and technological achievements,increase investment in marine education and the development of the marine economy.
引文
[1]习近平.决胜全面建成小康社会夺取新时代中国特色社会主义伟大胜利[EB/OL].[2018-09-09]http://paper.people.com.cn/rmrb/html/2017-10/28/nw.D110000renmrb_20171028_3-01.htm.
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[15]赵玉杰,杨瑾.海洋经济系统科技创新驱动效应研究[J].东岳论丛,2016,37(05):94-102.
[16]孙才志,郭可蒙,邹玮.中国区域海洋经济与海洋科技之间的协同与响应关系研究[J].资源科学,2017,39(11):2017-2029.
[17]徐胜,方继梅.海洋经济结构转型的科技创新影响因子研究[J].中国海洋大学学报(社会科学版),2017,(04):1-6.
[18]屠萍萍.浙江省经济增长与收入分配互动关系研究——基于VAR模型的分析[J].国际经济合作,2018,(04):79-82.
[19]陈文捷,高雪.基于VAR模型的旅游业与区域经济发展动态关系研究——以广西为例[J].广西社会科学,2018,(02):38-44.
[2]Berchez F A S,Ghilardi-Lopes N P,Correia M D,et al.Marine and coastal environmental education in the context of global climate changes - synthesis and subsidies for ReBentos (Coastal Benthic Habitats Monitoring Network)[J].Brazilian Journal of Oceanography,2016,64(2).
[3]Gough A.Educating for the marine environment:Challenges for schools and scientists[J].Marine Pollution Bulletin,2017,124(2SI):633-638.
[4]Hartley B L,Thompson R C,Pahl S.Marine litter education boosts children's understanding and self-reported actions[J].Marine Pollution Bulletin,2015,90(1-2):209-217.
[5]Ioakeimidis C,Papatheodorou G,Fermeli G,et al.Use of ROV for assessing marine litter on the seafloor of Saronikos Gulf (Greece):A way to fill data gaps and deliver environmental education[J].Springerplus,2015,4(463).
[6]Inaba K.Japanese marine biological stations:Preface to the special issue[J].Regional Studies in Marine Science,2015,2:154-157.
[7]Ciannelli L,Hunsicker M,Beaudreau A,et al.Transdisciplinary graduate education in marine resource science and management[J].Ices Journal of Marine Science,2014,71(5):1047-1051.
[8]Qu Q,Chen K,Wei Y,et al.Using hybrid model to evaluate performance of innovation and technology professionals in marine logistics industry[J].Mathematical Problems in Engineering,2015(361275).
[9]Zeyringer M,Fais B,Keppo I,et al.The potential of marine energy technologies in the UK - evaluation from a systems perspective[J].Renewable Energy,2018,115:1281-1293.
[10]Sgobbi A,Simoes S G,Magagna D,et al.Assessing the impacts of technology improvements on the deployment of marine energy in Europe with an energy system perspective[J].Renewable Energy,2016,89:515-525.
[11]Zhou D,Deng Z D.Ultra-low-head hydroelectric technology:A review[J].Renewable & Sustainable Energy Reviews,2017,78:23-30.
[12]谢子远,闫国庆.澳大利亚发展海洋经济的经验及我国的战略选择[J].中国软科学,2011(09):18-29.
[13]刘邦华.试论海洋强国战略语境中的大学生海洋教育[J].求实,2013,(S1):268-270.
[14]马勇,朱信号.试论我国海洋跨学科教育及其发展趋向[J].中国海洋大学学报(社会科学版),2010(02):48-51.
[15]赵玉杰,杨瑾.海洋经济系统科技创新驱动效应研究[J].东岳论丛,2016,37(05):94-102.
[16]孙才志,郭可蒙,邹玮.中国区域海洋经济与海洋科技之间的协同与响应关系研究[J].资源科学,2017,39(11):2017-2029.
[17]徐胜,方继梅.海洋经济结构转型的科技创新影响因子研究[J].中国海洋大学学报(社会科学版),2017,(04):1-6.
[18]屠萍萍.浙江省经济增长与收入分配互动关系研究——基于VAR模型的分析[J].国际经济合作,2018,(04):79-82.
[19]陈文捷,高雪.基于VAR模型的旅游业与区域经济发展动态关系研究——以广西为例[J].广西社会科学,2018,(02):38-44.