Towards a Smart Tourism Business Ecosystem based on Industrial Heritage: research perspectives from the mining region of Rio Tinto,Spain

The implications of the study provide suggestions for future improvements relating to the development of industrial tourism destinations. The possibility of ‘re-using’ the old industrial and mining heritage could favour the development of an economic opportunity to the recession that affected most industrial regions after the 1960s. This paper is focused on the field of industrial heritage tourism management (IHTM) to deepen the knowledge about its business ecosystem. The IHTM is chosen because a number of evidences highlight the interconnections that exist between this field and the business ecosystem concept. To explore these interconnections, the purpose of this article is to define a frame of analysis based also on the emergent initiative of smart tourism and to set up a theoretical framework not only used to the case study of the region of Rio Tinto mine in Spain, but also used as a policy instrument to suggest propositions for recommending new paths for future studies.     

Deciphering big data in consumer credit evaluation

This paper examines the impact of large-scale alternative data on predicting consumer delinquency. Using a proprietary double-blinded test from a traditional lender, we find that the big data credit score predicts an individual’s likelihood of defaulting on a loan with 18.4% greater accuracy than the lender’s internal score. Moreover, the impact of the big data credit score is more significant when evaluating borrowers without public credit records. We also provide evidence that big data have the potential to correct financial misreporting.     

Herding behaviour in P2P lending markets

We explore lender behaviour on Renrendai.com, a leading Chinese peer-to-peer (P2P) crowdlending platform. Using a sample of around five million investor-loan-hour observations, and applying a high-dimensional fixed effect estimator, we confirm evidence of herding behaviour: the investors in our sample prefer assets that had attracted strong interest in previous periods. The herding behaviour relates to both the experience level of the investor and the length of time of an investment session on the platform. We also provide evidence of significant herding behaviour in the first hour of experienced investors’ sessions. Our results are robust to the use of alternative specifications.     

创业机会共创研究探析

过往研究就创业机会的来源和产生等问题存在争议,而且聚焦于创业者、创业企业及外部环境等独立要素,割裂了创业机会在不同要素之间的互动关系。本文通过系统梳理创业机会研究的演进脉络,发现创业机会共同创造(co-creation)已成为未来研究的主要趋势。在已有研究的基础上,本文初步界定了"创业机会共创"的概念,并对相关概念进行了辨析。进一步,基于创业生态系统视角探讨了机会共创的参与要素,以此区分了实现创业机会共创的四种基本互动路径:即机会之间的互动,创业主体与机会的互动,创业主体之间的互动,创业主体与环境的互动。最后,提出了未来研究的思路与建议。     

生态系统服务价值下的新安江跨界生态补偿标准设计

论文讨论了跨界生态补偿由损害补偿向保护补偿转变的“反向补偿”机理,构建了基于生态系统服务价值的跨区域生态补偿理论框架。研究表明,理论上流域生态横向补偿标准设计应基于生态系统服务的供给、支持、调节、文化四大功能,同时兼顾区域生态共同体思维,利用支付意愿、支付能力两调节系数进一步确定补偿款项的转移额度。新安江补偿案例研究结果说明,生态系统服务价值核算的补偿标准在跨区域生态问题上能够有效弥补跨区域补偿力度不足的问题,厘清损害补偿如何向保护补偿演化的路径,促进地区间平衡发展,完善生态补偿经济学公平理论,并为政府制定全国统一的跨界生态补偿政策提供理论依据和经验数据。     

基于生态系统服务空间流的洪涝调节 服务需求制图与生态空间优先级识别

中国快速城市化地区面临严重洪涝风险和洪涝调节 服务供需空间的分离。为识别在满足洪涝调节服务需求方面重 要性高的生态空间以纳入保护的优先级,提出了一种在生态空 间中绘制洪涝调节服务需求的新技术：基于生态系统服务空间 流,利用流量、流边界、流方向、分配原则及其修正因子4个 多维指标,表征将服务需求从建设空间向生态空间分配与投射 过程的关键环节。结果显示：面积大、人口密度高的建设空间 存在高需求流量;借助水文空间流,服务需求由建设空间被分 配至同一集水区内具有洪涝调节能力的生态空间中;被投射为 高服务需求的生态空间大多规模较大或紧邻高需求的建成空 间。通过控制流量、扩展流区域、增加流方向和提升生态空间 服务供应能力,能有效调控投射于生态空间内的洪涝调节服务 高需求。     

网络借贷生态环境的缺陷及其治理研究

网络借贷作为金融与科技融合的数字金融业态,市场需求旺盛,未来必然会长期作用于民间金融。网络借贷在发展中存在着诸多问题,是源于网络借贷生态环境的缺陷。网络借贷需要在规范经营中探索业务模式和监管方式的创新,加强监管协调,引入“监管沙盒”机制。因此,需要加强大数据、云计算、人工智能在网络借贷中的应用,并完善社会征信体系和法制体系,改善社会信用环境,完善行业自律机制,建立良好的网络借贷生态环境,以促进网络借贷健康可持续发展。     

The shared environmental responsibility principle: new developments applied to the case of marine ecosystems

Estuaries provide advantageous sites for both harbors and fish habitats. In many countries, harbor expansion in estuaries contributed to the decline of fish populations with impacts at the global scale. Restoring these habitats is important to prevent a global biodiversity crisis but is costly and potentially unaffordable for polluters under the Polluter Pays Principle. Such affordability issues prompt decision-makers to reduce environmental targets of restoration programs. Harbor infrastructures destroy fish habitats but generate benefits for society and contribute to the public interest, raising some questions on who is responsible for environmental degradations and who can afford environmental restoration costs? One way to allocate restoration costs is to analyze the amount of harbor services consumed by economic sectors. This paper addresses these questions by computing burden sharing scenarios with an input–output matrix. These scenarios are simulated under the shared responsibility principle to distribute restoration costs among stakeholders in the Seine estuary, France.     

全球视角下生态系统服务付费的国际经验与评价

将生态系统服务付费(PES)工具分为经济类和非经济类两种,根据生态服务生产者和付费者的支付意愿,进一步细分为双方自愿支付、集体自愿支付、强制双方支付、强制集体支付四种具体的PES制度,通过分类介绍PES机制在全球的各种实践案例,归纳PES机制成功推行的共同点,分析PES系统的社会和环境挑战与由此产生的生物多样性风险之间的关系。