摘要
在建设海洋强国和海洋经济高质量发展的背景下,对中国海洋经济增长质量进行深入研究具有重要的现实意义。基于2008—2020年沿海11省市区数据,采用GC—TOPSIS模型、小提琴图和均值标准差法对中国海洋经济增长质量进行时空分异和类型识别,并运用岭回归模型进行影响因素分析。结果表明:中国海洋经济增长质量研究期内呈上升趋势,地区间存在明显差异,且不断扩大;低等级省份数量逐渐减少,中等等级省份数量逐渐增加,高等级省份数量保持不变;中国的海洋经济增长类型划分为三种,即高增长质量地区为广东、上海、山东、天津,中增长质量地区为福建、海南、浙江、辽宁、江苏、河北,低增长质量地区为广西;影响因素方面,对外开放未通过显著性检验,环境规制与海洋经济增长质量呈显著负相关,岭回归系数为-0.021。资本、劳动力、市场化程度、海洋科技创新与海洋经济增长质量呈显著正相关,岭回归系数分别为0.024、0.244、0.122和0.024。研究结果可为各省份海洋经济发展定位提供一定参考。
In the context of building a maritime power and high-quality development of marine economy conducting in-depth research on the quality of China’s marine economic growth has important practical significance.Based on data from 11 coastal provinces and cities from 2008 to 2020,the GC—TOPSIS model,violin chart,and mean standard deviation method were used to identify the spatiotemporal differentiation and types of China’s marine economic growth quality,and the ridge regression model was used to analyze the influencing factors.The results indicate that the quality of China’s marine economic growth has shown an upward trend during the research period,with significant regional differences and continuous expansion.The number of low-level provinces gradually decreases,the number of medium-sized provinces gradually increases,and the number of high-level provinces remains unchanged.The types of areas identified are:Guangdong,Shanghai,Shandong,and Tianjin with high growth quality,Fujian,Hainan,Zhejiang,Liaoning,Jiangsu,and Hebei with medium growth quality,and Guangxi with low growth quality.In terms of influencing factors,the opening up to the outside world does not pass the significance test,and there is a significant negative correlation between environmental regulations and the quality of marine economic growth,with a ridge regression coefficient of-0.021.There is a significant positive correlation between capital,labor force,marketization level,marine technological innovation,and the quality of marine economic growth,with ridge regression coefficients of 0.024,0.244,0.122 and 0.024,respectively.The research results can provide certain reference for the positioning of marine economic development in various provinces.
作者
高源
王文慧
付忠伟
GAO Yuan;WANG Wenhui;FU Zhongwei(School of Geography,Liaoning Normal University,Dalian 116029,China)
出处
《江苏海洋大学学报（人文社会科学版）》
2023年第4期20-32,共13页
Journal of Jiangsu Ocean University（Humanities & Social Sciences Edition）
基金
辽宁省教育厅高等学校人文社科类基本科研(面上)项目(LJKR0310)。
关键词
海洋经济
增长质量
时空分异
GC—TOPSIS
影响因素
marine economy
growth quality
spatial and temporal differentiation
GC—TOPSIS
influencing factors
