Fishing in the Amazonian Forest: A Gendered Social Network Puzzle

We employ social network analysis (SNA) to describe the structure of subsistence fishing social networks and to explore the relation between fishers’ emic perceptions of fishing expertise and their position in networks. Participant observation and quantitative methods were employed among the Tsimane’ Amerindians of the Bolivian Amazon. A multiple-regression quadratic assignment procedure was used to explore the extent to which gender, kinship, and age homophilies influence the formation of fishing networks. Logistic regressions were performed to determine the association between fishers’ expertise, their sociodemographic identities, and network centrality. We found that fishing networks are gendered and that there is a positive association between fishers’ expertise and centrality in networks, an association that is more striking for women than for men. We propose that a social network perspective broadens understanding of the relations that shape the intracultural distribution of fishing expertise, as well as natural resource access and use.     

基于银行网点布局的河南省金融网络格局及结构特征

以河南省126个县域(市区)为研究单元,运用2014年银行业的12 369个网点数据,借鉴连锁型网络模型,运用复杂网络分析工具和空间分析软件对河南省金融网络进行综合测度与结构分析。研究发现:1从金融连接度看,郑州是河南省的金融核心,洛阳是次金融核心;2金融核心具有较高的金融联系度和较强的对外金融联系,同时银行网点在空间上的布局并不完全遵循传统地理空间的行政等级制度;3在实体基础设施网络和银行网点虚拟网络共同作用下,河南省金融网络表现出了等级化和网络化的双重特征;4金融网络中,郑州—洛阳的金融连接度最高,金融连接度存在着一定程度的极化现象,并在空间上呈现出"一体两翼"的格局,且豫北的金融聚集现象较豫南明显;5河南省金融网络拓扑结构图具有较大的集聚系数和较小的平均最短路径,同时度分布在对数坐标中呈现幂律分布,说明整个网络同时具有复杂网络中的小世界网络和无标度网络结构特征。     

长江中游城市群城市网络空间结构研究

按照"点"→"线"→"面"→"网络"的分析思路,运用分形理论、引力模型、隶属度模型、空间句法模型、时间-空间可达性模型,研究2013年长江中游城市群31个城市的网络空间结构。结果表明:(1)在"点"层次上,长江中游城市群首位城市武汉为超大城市且垄断地位较强,城市体系呈序列型分布,规模结构呈"橄榄状"态势。(2)在"线"层次上,长江中游城市群城市联系整体偏弱,骨干联系由武汉、长沙、南昌组成,武汉城市圈、长株潭城市群和环鄱阳湖城市群内部城市间联系较强,3个省会城市与其腹地城市间呈星形结构特征。(3)在"面"层次上,长江中游城市群形成武汉、长沙、南昌3个辐射中心,在西北—东南方向呈现"中间高、两端低"的特征,武汉—南昌辐射连片趋势较明显。(4)在"网络"层次上,长江中游城市群城市网络的时间、空间可达性格局基本一致,与拓扑可达性存在一定偏差。时间、空间可达性格局中心向南、西北、东北方向沿长江河谷地带出现"波峰",受桐柏山、幕阜山影响在北、东南方向分布"波谷"。在路网的发育方面,武汉城市圈发育最好,长株潭城市群受地形影响最大,环鄱阳湖城市群发育最均衡。     

战略耦合的研究脉络与问题

在回顾经济地理学中较为前沿的战略耦合概念的起源、发展与研究现状的基础上,对战略耦合研究的优点与问题展开评述,认为当前研究在战略耦合模式的探讨中,主要基于经验总结而缺乏对影响变量,特别是空间变量的阐述,存在一定的模糊性。为理解该问题的根源,追溯了全球生产网络和全球价值链两个学派的争论和最新进展。在认可全球价值链理论解释力的同时,认为当前全球生产网络2.0版本的研究框架仍然没有解决模糊性的问题,而且全球生产网络的分析框架主要侧重于主导企业视角来构建战略耦合的发生机制,忽略了后发地区和企业的主动性。因此,借鉴传统经济地理学研究,充分考虑主导企业和后发地区的行为逻辑,提出经济活动的空间粘性和区域的区位优势这两个变量,重构了战略耦合的分析框架,并进行理论阐述。该项理论构建有助于更好地厘清战略耦合的发生机制,帮助发展中国家和地区判读发展机遇,确立产业发展与升级战略。     

东南亚华人华侨网络与中国企业海外投资的区位选择关系研究

随着“走出去”战略的实施和“一带一路”倡议的提出,中国在全球化经济中逐渐成为国际投资的主要力量之一。海外华人华侨网络曾经积极促进外商对华的直接投资,是否在这个过程中再次扮演积极的作用,是当前经济地理领域尚未充分探究的问题。因此,本文从经典的区位选择问题切入,探究海外华人华侨网络与中国企业海外投资的区位选择的关系,利用2001-2016年中国企业投资东南亚国家的数据,通过混合逻辑模型回归分析海外华人华侨对中国企业投资区位的影响。结果表明：① 从整体上看,东南亚各国的华人华侨规模和中国企业对外直接投资的区位选择之间存在显著的正相关关系;② 从投资时间上看,海外华人华侨规模与中国企业对外直接投资区位选择之间的关系显著性呈现扩大趋势,说明华人华侨在促进中国企业对外投资方面存在较大潜力;③ 从投资的行业和环节上看,不同行业和不同职能部门的企业在东南亚投资中海外华人华侨在其投资区位选择中所起的作用不同。     

Robustness and the Paradox of Bridging Organizations: The Exit Problem in Regional Water Governance Networks in Central America

Bridging organizations facilitate a range of governance processes, including cooperation and social learning, and are theorized to be a key component of robust governance systems. In this article, we use node removal simulations to test structural hypotheses of robustness in a regional water governance network in Central America. We investigate the response of network measures supporting core governance processes to the targeted removal of bridging organizations and other actors, which we compare to random and centrality-based simulations. The results indicate removing bridging organizations has a greater impact on the network than any other type of actor, suggesting bridging organizations are critical to the robustness of the governance system. Furthermore, network structures supporting cooperation may be less robust than structures facilitating social learning. We conclude with policy implications of the research findings as they relate to the exit problem in governance systems with a large presence of international development actors.     

Mapping the Stakeholders: Using Social Network Analysis to Increase the Legitimacy and Transparency of Participatory Scenario Planning

Participatory scenario planning (PSP) processes rely on accurate stakeholder identification to develop a key set of critical uncertainties. While many stakeholder analysis methods are able to identify stakeholders and describe their relationships, we found these efforts to have limited use in the fast-moving and in-depth approach of PSP research. We find that social network analysis (SNA) is an efficient, objective, and transparent approach to stakeholder identification in highly contested natural resource management issues. We present a case study of our research on Alaska’s Kenai Peninsula to describe how SNA’s ability to contextualize the relations between actors can benefit participatory research.     

粤港澳大湾区发展的理论框架与发展战略探究

粤港澳大湾区是在“一带一路”倡议下,由珠三角经济圈的强化合作而产生的新地理概念。作为新兴的全球化港湾,粤港澳大湾区如何突破新自由主义框架理论,探索出符合社会主义市场经济体制的发展路径,是当前决策者和规划者需要思考的重要问题。本文简要梳理了现有的城市群、区域增长极理论,新经济地理集群理论,全球产业链网络理论并结合大湾区现状优势,对湾区发展战略定位与发展路径进行探究,认为可通过粤港澳三方通力合作,创造一个内生型的经济与产业本土增长模式为主要方向。具体表现为：首先,要以先进制造业为立足点、实现自我创新的产业升级,形成完善的制造业产业链,并成为全球生产网络的重要节点与区域性枢纽;其次,大湾区还应利用自身的科研与教育、金融与创新资源优势,推进“一国两制三关税区”、尤其是与香港在大湾区建设中的全方位参与联动,完善产权制度,加强合规和规则经济的市场经济体系建设,将大湾区打造为中国的科创中心及全球性金融中心。     

基于卷积神经网络的极光图像分类

极光是由带电粒子经磁层—电离层碰撞大气而产生的。面对形态各异、演变过程复杂的极光图像,对其合理分类为进一步探究日地电磁活动和能量耦合等空间物理问题奠定了基础。针对该问题,引入深度学习的方法,通过卷积神经网络模型自主表征极光特征并实现极光图像分类。该方法对2003年北极黄河站越冬观测的38 044幅和8 001幅典型极光图像分类正确率达93.17%和91.5%;自动识别2004—2009年观测数据的极光形态,4类极光时间分布规律与三波段激发谱能量分布基本一致。实验结果表明,基于卷积神经网络的极光表征方法,能有效实现极光图像的自动分类。     

The trade network of the Belt and Road Initiative and its topological relationship to the global trade network

Unimpeded trade is one of the cooperation priorities in the Belt and Road Initiative proposed by China. On 15 May 2017, the Joint Communique of the Leaders Roundtable of the Belt and Road Forum for International Cooperation reaffirmed the participants’ shared commitment to build an open economy and ensure free and inclusive trade. The Belt and Road Initiative (BRI) is not only China's new action to drive its open and global development, but also a platform for an increasing number of countries to explore free and inclusive trade and promote a universal, rule-based, open, non-discriminatory, and equitable multilateral trade system. It is therefore important to examine the topological relationship between the BRI and global trade networks. More specifically, this article first analyzes the community structure of trade networks using a community detection algorithm, and then estimates the topological relationship between different trade communities. The findings of this article are as follows. First, this research identified three trade communities and two sub-communities in the BRI trade network, in which China is the core, Russia is the sub-core of the biggest trade community, and India, United Arab Emirates, and Saudi Arabia are cores of the second trade community (South Asia-West Asia). Second, it identified five trade communities in the global trade network, centred on China, USA, Russia, India-United Arab Emirates, and Germany- Netherlands-France-Britain and other European developed countries. Third, the topological analysis indicated that in the global trade network, most BRI countries are attracted by the core nodes of the BRI regions, such as the China, Russia and India-United Arab Emirates core nodes, and have strong trade contacts with BRI countries. Most Central-East European countries are mainly attracted by Germany-Netherlands-France-Britain and other developed European countries with a low penetration of BRI trade. Although some Southeast Asian countries are incorporated into the Asia-Australia-South Africa community with China as the core, they still need to strengthen trade linkages with BRI countries.