基于数字足迹的乡村旅游流空间结构特征--以浙江省湖州市为例

乡村旅游是乡村振兴的有效路径,也是近年来研究热点,而在乡村旅游流领域研究相对不足。以湖州乡村旅游地为案例,通过对大样本数字足迹的数据处理,分析乡村旅游流空间结构特征,总结空间行为偏好。结果表明:①乡村旅游数字足迹呈现全年双峰值、月度差异不大的时间特征,"双核"多组团的空间分布特征,以及古镇、古村、民宿等带有文化符号旅游景观导向的空间偏好特征;②网络密度0.27的乡村旅游流空间结构由连接度高的34个节点构成,除核心吸引的双核外,民宿集聚区构成了网络结构的核心点;③传统旅游吸引物、民宿集聚区等节点呈现较强的网络中心性,节点的网络结构特征反映乡村旅游流空间呈现的地理临近性,以及区域空间集聚、扩散与联动发展效应。依据研究结论提出"完善与发挥节点集聚扩散功能,增强节点对数字足迹的有效吸引力,提升乡村旅游经济发展质量,助力乡村振兴"的发展策略。     

Resource Dependence and Network Relations: A Test of Venture Capital Investment Termination in China

This study examines how venture capital (VC) firms terminate investments in an emerging economy context. We contend that due to the weak institutional environment, it is appropriate to draw on insights from power and social relation perspectives for a better understanding of the phenomenon. Specifically, we argue that a termination decision hinges on not only the dependence relationship between a VC firm and its portfolio companies, but also the social relationships among VC firms. Event history analyses of approximately 12,000 VC deals made in China between 2001 and 2012 reveal that when a VC firm has a greater number of investments in an industry, it is more likely to terminate investments on a portfolio company in that industry. Moreover, such effect on termination is moderated by the focal VC's embeddedness with its syndicate partners and collaboration opportunities with other VC firms outside the immediate access of the syndicate partners. Our study sheds light on research on VC decision making in emerging markets by integrating insights from resource dependence relationships and interorganizational network characteristics.     

Does parasocial interaction with weight loss vloggers affect compliance? The role of vlogger characteristics,consumer readiness,and health consciousness

Drawing on the notion of parasocial interaction (PSI) and the social comparison theory, this experimental research examines how nutritionist video bloggers (vloggers) influence consumer compliance intentions toward healthy, weight-loss diets. Drawing on two samples (Mexican Americans and White Caucasians) and using structural equation modeling and mediation analysis, this research highlights vloggers’ credibility and physical attractiveness, but not homophily, as salient source characteristics that influence PSI, which in turn reinforces compliance intention. Moreover, consumer readiness, consisting of role clarity, ability, and motivation, serves as a partial mediator of the PSI–compliance intention relationship. Lastly, consumer health consciousness emerged as a significant moderator of the PSI–compliance intention relationship among White Caucasians, but not among Mexican Americans. The findings and their implications are discussed.     

平台经济视域下的商家投机行为治理——基于平台主动治理视角

平台型网络市场的虚拟性与隐蔽性导致商家隐瞒、欺骗消费者的行为愈演愈烈，衍生了新的治理难题。基于交易成本理论和社会交换理论，立足平台主动治理视角，文章探索平台主动治理中的事前商家规范机制、事中交易保障机制和事后争议处理机制对商家强、弱投机行为的影响，以及平台声誉对其影响的调节作用。基于消费者视角开展问卷调查，对数据进行结构方程模型分析和分层回归分析，结果表明：弱投机行为对强投机行为具有显著正向影响；商家规范机制和争议处理机制对强、弱投机行为均具有抑制作用；而交易保障机制对弱投机行为具有促进作用；平台声誉对交易保障机制、争议处理机制和弱投机行为之间的关系具有负向调节作用。     

Operating efficiency in Chinese universities: An extended two-stage network DEA approach

The result shows that it accepts the null hypothesis. Namely, there is no significant difference in the operating efficiency of universities in different regions. That is to say, although the efficiency of the central and western universities is slightly better than that of the eastern universities in terms of the average efficiency, there is no significant efficiency difference among the eastern, central, and western regions statistically. Therefore, it shows a balanced development trend for the efficiency of universities in different regions.     

Knowledge distance and R&D collaboration in Cournot oligopoly

A Cournot collaboration game is complemented with the hypothesis that the cost of R&D collaboration depends on firm’s directed knowledge distance with respect to potential R&D partners. The further hypothesis that directed distance may be non‐uniform and pair‐wise asymmetric reconciles theoretical predictions with qualitative evidence about concentration and multiplicity of components in industrial R&D networks. The welfare properties of sparse stable networks are also affected.     

Enhanced network effects and stochastic modelling in generation expansion planning: Insights from an insular power system

Electricity generation capacity expansion is driven by both economic and socio-political realities. Policy makers determine public infrastructural decisions, such as climate and renewable targets, and transmission infrastructure, and the optimal generation capacity expansion follows. Policy makers therefore require planning models that can determine the optimal generation capacity mix in the long run under various scenarios, including policy choices. This work presents a planning model based on linearised alternating current optimal power flow which determines optimal generation capacity expansion and operation, in a least-cost manner, given global and local technical constraints, as well as policy decisions. We apply the model to a test case of the island of Ireland, which has two weakly interconnected systems, high renewable generation targets and low storage and interconnection. We determine the optimal generation expansion and operation out to 2030 considering the effects of increased multi-area interconnection, existing fossil fuel generation phase-out and increased renewable generation targets and carbon prices. Our results find that costs and emissions are driven primarily by the decommissioning of old inefficient generation units. High renewable targets, on the other hand, render increased carbon prices relatively ineffective in reducing system emissions. Furthermore, high renewable generation targets crowd out low-carbon power generation options such as carbon capture and storage (CCS). The strategic north-south interconnection has little effect on renewable energy source installations required to achieve renewable power generation targets but does impact on security of supply and the congestion level across the island.     

Beyond the community in participatory forest management: A governance network perspective

Governance of the environment and natural resources involves interests of multiple stakeholders at different scales. In community-based forest management, organisations outside of communities play important roles in achieving multiple social and ecological objectives. How and when these organisations play a role in the community-based forest management process remains a key question. We applied social network analysis to a case study in Indonesian Borneo to better understand the evolution of interactions between organisational actors, and with communities. NGOs featured most prominently in initiating the permit process, implementing management, and providing other support activities, while also being well-connected to donors and government actors. The network configurations indicated significant cooperation among organisations when initiating the community forest process, while bridging between village and organisational levels characterised all stages of the community forest process. While community-based forest management often evokes images of grassroots efforts and broad local capacity to manage forests, reality shows a more dynamic and heterogeneous picture and broader involvement of different actor types and motivations in Indonesia. These findings can be applied to other countries implementing and expanding their decentralised forest policies.     

深度学习技术在海关风险甄别中的应用研究

随着互联网的高速发展和人工智能时代的到来,越来越多从前必须由人脑完成的工作能够利用计算机技术来完成,而深度学习的出现更解决了传统机器学习算法在计算机视觉领域、自然语言处理领域表现不佳的问题,使机器也能够拥有准确感知图像和语音的能力。人脸识别是深度学习网络最常见的应用场景之一,具有自然、直接、方便的特点,且不需要检测对象配合,因此非常适合用于公共安全领域的风险检测。研究充分结合海关实际需求,搭建基于深度学习技术的人脸识别模型,提供对通关旅客进行实时风险甄别的解决方案,以及海关通关风险防控场景的理论参考,为后续深度学习技术在海关业务的研究提供支撑。     

Uncovering the global network of economic policy uncertainty

This study uncovers the static and dynamic network of economic policy uncertainty (EPU) across 17 developed and emerging economies. We build a centrality network using the minimal spanning tree (MST) as well as a dependency network using partial correlations. Results from the MST show that EPU exhibits some degree of geographical connections with EPUs in seven countries in the sample directly linked to the US EPU. Evidence from dynamic time-varying MST reveals that the nature and dominance of the EPU network have changed significantly over time. Further, the US and German EPUs dominate a close-knit global policy uncertainty network with the highest net (To and From) transmitter of information flow in the dependency network. Greece, Russia, and Brazil are the top three net receivers of information in the global network of EPU. The policy implication of these results relates to the renewed and ongoing international debate on policy coordination.