在全球经济格局重构的背景下,推进蓝色经济合作已成为促进区域一体化发展的重要力量。粤港澳大湾区与东盟国家之间的蓝色经济合作具有巨大的潜力和广阔的前景。采用引力模型和社会网络分析方法研究粤港澳大湾区—东盟国家区域间蓝色经济合作的空间关联性及其网络结构,分析具备合作潜力的海洋产业和蓝色经济的转型压力,探讨粤港澳大湾区与东盟国家在蓝色经济领域的合作趋势与路径。研究发现,合作区蓝色经济关联网络密度整体偏低,超过三分之二的蓝色经济联系尚具有较大开发潜力。泰国、粤港澳大湾区和印度尼西亚在合作区蓝色经济网络中处于核心位置,是合作区内蓝色经济发展的“引领者”;越南、新加坡、菲律宾和柬埔寨在合作网络中处于边缘位置,是区域蓝色经济合作的“追随者”。合作区内各节点网络强度差异较大,表明区域内蓝色经济合作处于非均衡状态,一体化水平有待加强。同时,凝聚子群分析结果显示,完善合作机制、搭建合作平台对促进粤港澳大湾区与东盟国家的蓝色经济合作具有重要作用。基于研究结论,提出进一步发挥粤港澳大湾区的核心作用、推进构建粤港澳大湾区—东盟蓝色经济伙伴关系的政策建议。
Against the backdrop of the restructuring of the global economic landscape, the promotion of blue economy co-operation has become an important force in promoting regional integration and development. Blue economy cooperation between Guangdong, Hong Kong and Macao Greater Bay Area and ASEAN countries has great potential and broad prospects. The thesis adopts gravity model and social network analysis to reveal the spatial correlation of blue economy cooperation between Guangdong, Hong Kong and Macao Greater Bay Area and ASEAN countries and its network structure, to analyse the marine industries with potential for cooperation and the pressure of transformation of the blue economy, and to explore the trend and path of cooperation between the Greater Bay Area and ASEAN in the field of blue economy. The study finds that the overall density of the blue economy network in the co-operation area is low, and more than two-thirds of the blue economy links still have large development potential; Thailand, Guangdong, Hong Kong, Macao and Indonesia are at the core of the blue economy network in the co-operation area, and are the ‘leaders’ in blue economy development in the co-operation area, while Vietnam, Singapore, the Philippines and Cambodia are at the centre of the co-operation network, The Philippines and Cambodia are at the periphery of the co-operation network and are the ‘followers’ of the regional blue economy co-operation; the network strength of the nodes in the co-operation area varies greatly, indicating that the blue economy co-operation in the region is in an unbalanced state, and the degree of integration needs to be strengthened; at the same time, the results of cohesive subgroup analysis show that perfecting the co-operation mechanism and building a co-operation Meanwhile, the results of cohesive subgroup analysis show that improving the cooperation mechanism and building a cooperation platform play an important role in promoting the blue economy cooperation between Guangdong, Hong Kong and Macao Greater Bay Area and ASEAN countries. Based on the above findings, the paper proposes policy recommendations to further develop the central role of the Guangdong-Hong Kong-Macao Greater Bay Area and promote the construction of the Greater Bay Area-ASEAN Blue Economy Partnership.
[1] 中华人民共和国中央人民政府. 中国—东盟命运共同体——记习近平访问印尼和马来西亚[EB/OL].(2013-10-07)[2024-9-17]. https://www.gov.cn/ldhd/2013-10/07/content_2501358.htm
[2] 中华人民共和国中央人民政府. 习近平在中国—东盟建立对话关系30周年纪念峰会上的讲话[EB/OL].(2021-11-22)[2024-9-17]. https://www.gov.cn/xinwen/2021-11/22/content_5652461.htm
[3] 单菁菁,张卓群. 粤港澳大湾区融合发展研究现状、问题与对策[J]. 北京工业大学学报(社会科学版), 2020(2):1-8
[4] Organisation for Economic Co-operation and Development. Policy Note Ocean Economy[EB/OL].(2016-04-26)[2024-9-17]. https://www.oecd.org/sti/futures/Policy-Note-Ocean-Economy.pdf
[5] Stainier, A.The “Blue Economy” as a Key to Sus-tainable Development of the St.Lawrence.Le Fleuve, 1999, 10 (7):1-3
[6] United Nations. Conserve and sustainably use the oceans, seas and marine resources for sustainabledevelopment[EB/OL].(2016-01-01)[2024-9-17]. https://sdgs.un.org/goals/goal14
[7] World Bank Group. What is the Blue Economy?[EB/OL].(2017-06-06)[2024-9-17].https://www.worldbank.org/en/news/infographic/2017/06/06/blue-economy
[8] 王竞超.日本与印尼海洋经济合作探析:战略动因、主要路径与现实挑战[J].现代日本经济,2021(2):38-51
[9] 赵业新.论海上丝绸之路背景下中国与太平洋岛国深海采矿合作[J].太平洋学报,2019(10):31-46
[10] 陈杰,王薇.“一带一路”视角下的中阿海上合作探析[J].国际关系研究,2021(2):27-47,155-156
[11] 姚朋.加拿大海洋经济和“一带一路”视野下中加海洋经济合作发展前瞻[J].晋阳学刊,2020(2):95-103
[12] 秦抱元,刘鹰.澳大利亚海洋渔业工程发展概况与中澳海洋渔业合作前景分析[J].农业工程学报,2020(11):318-326
[13] 贺鉴,杨常雨.新时代中非海洋经贸合作及其法治保障[J].湘潭大学学报(哲学社会科学版),2020(4):43-52
[14] 张新勤.国际海洋科技合作模式与创新研究[J].科学管理研究,2018(2):112-115
[15] 陈翔.“安全—发展联结”下中国与东盟蓝色经济合作的安全基础[J].国际经济评论,2023(2):154-176,8
[16] 郭建科,丁奕丹,秦娅风.中国海洋科研合作网络的空间联系[J].热带地理,2021(3):584-595
[17] 王胜,黄丹英.RCEP背景下深化中国(海南)与东盟开放合作的策略[J].海南大学学报(人文社会科学版),2022(4):42-47
[18] 关洪军,郭宏博.粤港澳大湾区海洋经济发展形势分析[M] //殷克东,李雪梅,关洪军,等.中国海洋经济发展报告(2019～2020). 北京:社会科学文献出版社.2020:128-140
[19] 赵雨,王兴棠.粤港澳大湾区海洋经济高质量发展研究[M] //隋广平,石佑启,申明浩,等.粤港澳大湾区协同发展报告(2023).北京:社会科学文献出版社.2024:200-218
[20] 香港特别行政区政府统计处. 运输、仓库及速递服务业的业务表现及营运特色的主要统计数字[EB/OL].(2023-12-29)[2024-9-17]. https://www.censtatd.gov.hk/wbr/B1080010/B10800102022AN22/att/sc/B10800102022AN22.pdf
[21] 21经济网. 《现代海洋城市研究报告(2021)》发布:上海、香港领跑亚太海洋经济圈[EB/OL].(2022-06-23)[2024-9-17].
[22] 澳门特别行政区政府统计暨普查局. https://www.dsec.gov.mo/zh-MO/
[23] Partnerships in Environmental Management for the Seas of East Asia (PEMSEA), State of the Oceans and Coasts[R]. Quezon: PEMSEA,2021
[24] 国家统计局. 国民经济行业分类(GB/T 4754—2017)[EB/OL].(2017-06-30)[2024-9-17].https://www.stats.gov.cn/xxgk/tjbz/gjtjbz/201710/t20171017_1758922.html
[25] 杨程玲.东盟国家蓝色经济发展及其与中国合作研究[J].海洋文化研究,2022(1):142-155
[26] 王平平,金浩,赵晨光.区域创新网络演化及其邻近性机理[J].技术经济与管理研究, 2020(60): 25-30
[27] 阮平南,王文丽,刘晓燕.技术创新网络多维邻近性演化研究:基于IBM专利合作网络[J]. 科技进步与对策, 2018(8): 1-7
[28] 张贵,孙晨晨,吕晓静. 多维邻近视角下京津冀知识创新合作网络研究[J]. 华东经济管理, 2022(6): 1-12
[29] 王欣,吴殿廷,王红强.城市间经济联系的定量计算[J].城市与区域, 2006(3):55-59
[30] 黄敬跃,吴开.长江三角洲城市群经济联系的测度分析[J].企业经济, 2010(1):127-129
[31] 李响. 基于社会网络分析的长三角城市群网络结构研究[J].城市发展研究, 2011(12): 80-85
[32] 许露元,李红.城市空间经济联系变化的网络特征及机理——以珠三角及北部湾地区为例[J].城市问题,2015(5):20-26
[33] 韩会然. 皖江城市带空间经济联系变化特征的网络分析及机理研究[J].经济地理, 2011(3): 384-389
[34] 梁经伟,文淑惠,方俊智.中国—东盟自贸区城市群空间经济关联研究——基于社会网络分析法的视角[J].地理科学,2015(5):521-528
[35] 刘耀彬,孙敏.基于信息流的工作日与节假日城市网络联系特征对比——以长江中游城市群为例[J].经济地理, 2021(5): 75-84
