利率市场化背景下银行系统性危机的实证研究

从利率市场化的国际经验来看,无论是在发达国家还是发展中国家,其实施过程都容易导致不同程度的银行业危机。采用1973~2012年42个国家的面板数据,对利率市场化背景下的银行业危机进行的实证研究表明：利率市场化的推进将增加银行系统性危机发生的机率,特别是在存款利率市场化阶段,而严格的银行监管是抑制银行系统危机发生的有效方法;显性存款保险制度的设立无助于利率市场化后银行系统性风险的防范,甚至有可能会增加危机发生的机率;资本账户开放下进行利率市场化会增加银行系统危机发生的机率。利率市场化进程中允许开设民营银行不会增加银行系统危机的发生机率。     

"长三角"区域金融风险分析

在对区域金融风险本质特征和影响因素进行分析的基础上,构造评价指标体系并用粗集方法约简、根据模糊数层次模型(FAHP)对"长三角"区域两省一市的金融稳定状况进行比较分析.     

高校内部控制评价指标体系的构建与应用

内部控制评价对于强化高校内部控制是十分重要的,而进行内部控制评价要解决的关键问题之一则是建立科学的内部控制评价指标体系。要建立科学的高校内部控制评价指标体系,需要从高校内部控制的要素入手;再根据高校内部控制要素,构建高校内部控制评价指标体系,并在指标体系基础上建立模糊综合评价模型;运用模糊综合评价模型,可以对高校的内部控制状况进行全面的评价。     

关于重庆市水价体制改革的思考

合理、有效的水价制度不但可以优化重庆市的水资源配置,而且还能减轻三峡库区的环境压力,乃至实现整个长江流域水资源的可持续利用。针对现行水价体制存在的问题,重庆市水价体制改革应该明确合理的改革目标,建立产权清晰的水权制度,并对水价结构和类型进行合理划分,最后再设计出区别对待不同用水类型的歧视性水价制度和不同用水量的阶梯式水价制度。     

政府补助企业的主要动机研究——基于我国A股上市公司面板数据的实证检验

上市公司获得的政府补助数额巨大且逐年增长,引起了广泛的质疑,而现有研究对政府补助企业的动机尚无一致的结论。基于理性经济人理论,考虑制度更改和环境变化的影响,以2007—2015年我国上市公司为研究样本,实证检验政府补助企业的主要动机,结果表明：政府补助企业的主要动机在于扩大就业和帮助上市公司“保牌”,最终目的是促进经济的增长;而增加税收和帮助上市公司达到配股要求不是政府补助企业主要考虑的因素,也没有明显证据证明国有企业比民营企业更容易获得政府补助。应完善资本市场退市制度,加强对政府补助的审批和监管,提高政府补助的资源配置效率,并积极引导政府补助发挥更好的社会效益。     

基于低峰均比最优导频序列的MIMO-OFDM信道估计

信道估计是多输入多输出-正交频分复用（MIMO-OFDM）系统接收机进行信号相干解调的关键。针对最优导频序列（OPS）在进行信道估计时存在峰均比（PAPR）较高这一问题,设计了一种低PAPR的OPS用于对MIMO-OFDM系统进行信道估计。在建立系统模型基础上,对MIMO-OFDM系统的OPS进行了设计,并利用部分传输序列（PTS）思想设计出低峰均比最优导频序列（EOPS）;将设计的EOPS用于对MIMO-OFDM系统进行信道估计,并对复杂度较高的步骤进行了算法简化,在此基础上分别对各发射天线上信号PAPR的互补累积分布函数（CCDF）和OPS改进前后的均方误差（MSE）、误码率（BER）性能进行了仿真分析。结果表明,分布在多个OFDM符号上的EOPS能够有效降低系统PAPR;同时,与原来的OPS相比,保持了MSE和BER的最优性能。     

海洋经济理论发展的灰色研究

21 世纪是海洋的世纪, 海洋强国作为国家重要发展战略, 海洋经济也成为学术研究热点。 把握海洋经济发展态势, 预测海洋经济发展趋势对于科学管理海洋经济发展具有重要意义, 同时也是海洋经济研究的热点问题。 本文基于可视化的角度利用SATI、 Netdraw、 Ucinet 等软件绘制灰色系统理论以及海洋经济灰色研究的知识图谱,基于图谱比较,阐述灰色系统理论的成熟性以及拓宽海洋经济研究方向的重要性,并分析灰色系统理论应用于海洋经济研究的适用性, 进而拓宽海洋经济研究新方法, 更好地把握海洋产业关联度以及预测海洋经济发展趋势, 科学指导海洋经济发展。     

Dynamical macroprudential stress testing using network theory

The increasing frequency and scope of financial crises have made global financial stability one of the major concerns of economic policy and decision makers. This has led to the understanding that financial and banking supervision has to be thought of as a systemic task, focusing on the interdependent relations among the institutions. Using network theory, we develop a dynamic model that uses a bipartite network of banks and their assets to analyze the system’s sensitivity to external shocks in individual asset classes and to evaluate the presence of features underlying the system that could lead to contagion. As a case study, we apply the model to stress test the Venezuelan banking system from 1998 to 2013. The introduced model was able to capture monthly changes in the structure of the system and the sensitivity of bank portfolios to different external shock scenarios and to identify systemic vulnerabilities and their time evolution. The model provides new tools for policy makers and supervision agencies to use for macroprudential dynamical stress testing.     

The antecedents of digital collaboration through an enhanced digital platform for destination management: A micro-DMO perspective

While the tourism sector shifts towards digital transformation, Destination Management Organisations (DMOs) often struggle to adapt to their changing technological environment. This study explores the antecedents of digital collaboration and develops a framework for micro-DMOs to enhance effective destination management through digital technologies. An integrated sequential qualitative approach was adopted by conducting multi-phase interviews, in addition to designing and trialling a real-world trial digital platform. The research provides empirical evidence that digital collaboration is essential for micro-DMOs, necessitating them to transform their current “websites” into digital platforms which act as a hub for business stakeholders to actively be involved in. Antecedents of successful digital collaboration include mutuality, trust, control, and leadership which may be manifested differently from non-digital collaboration. Additionally, the study identifies three aspects for digital collaboration; marketing, networking and knowledge sharing that demands specific attention. Our results have theoretical, methodological, and practical implications for academia, industry and policymakers.     

Research on a diagnostic system of rural vitalization based on development elements in China

In 2017, the Chinese government implemented a national strategy of "Rural Vitalization" that sought to realize full-scale rural vitalization. However, is it possible to achieve vitalization for all the villages in China? How should their development potential be determined? This paper identified and analyzed the "element-composite" messages of rural development based on 99 exemplary sites of “Beautiful Villages” in China. Combined with the projection pursuit classification method, a diagnostic system of rural vitalization was established; then, Dehua County was taken as a case study for an in-depth analysis. Based on national data analysis, the final results indicated that livelihood resources (LR), agglomeration effects (AE), location and transportation (LT), cultural/natural landscapes (CN), and economic circumstance (EC) are essential elements for successful rural development. Additionally, EC was the only exogenous element, while the remaining elements were endogenous. Furthermore, the villages with better EC presented urbanization rates of 38∼82 % and Engel coefficients of 29∼41 % in their counties; exemplary sites lacking LR, CN, LT, and AE account for 13.13 %, 19.19 %, 26.26 %, and 60.61 % respectively, so the indispensability of these elements decreases progressively in sequence. Only 2 % of villages rely on single element for success, therefore, the composite pattern of development element was also critical; 10 out of 16 types were found to successfully facilitate village development, among which, the type of R-a-L-C (32.32 %) and R-A-L-C (15.15 %) were considered as the greatest potential patterns for vitalization. Finally, by means of the diagnostic system, the ratio of representative villages for high-low potential in Dehua County is evenly split; then, development paths, and land use policies that match with paths were proposed, on the basis of development potential and “element-composite” condition of themselves.