济南市古生物化石赋存特征及保护区划研究

为贯彻《古生物化石保护条例》,提高济南市古生物化石保护水平,在对区内古生物化石资源进行野外勘查和综合整理的基础上,依据古生物化石鉴定结果及其赋存地层分布特征,得出济南市古生物化石的分布特征,划分了古生物化石产地,选择化石完整程度、富集程度、剖面出露程度、周边地质环境、工程活动影响五个评价因子,运用综合指数法,建立了符合济南实际的古生物化石保护区划分体系,将区内古生物化石产地进行了保护区分级,并按照“保护优先,结合实际”的原则,制定了符合济南市实际的古生物化石保护措施。     

基于层次分析法的我国海水淡化开发利用潜力评价方法研究

海水淡化是缓解沿海地区水资源短缺的重要手段。利用层次分析法，开展了我国海水淡化开发利用潜力评价方法研究。从政策因素、社会经济因素、技术条件3个方面，构建了我国海水淡化开发利用潜力评价指标体系，对各指标影响作用权重进行了计算。以全国11个沿海省(区、市)为研究目标，对其海水淡化开发利用潜力进行了评价。研究结果表明，我国各沿海省(区、市)开发利用海水淡化的潜力由大到小分别是:河北、浙江、山东、天津、江苏、辽宁、海南、广东、广西、上海、福建。最后，结合影响我国海水淡化开发利用的主要因素，从战略定位、试点示范、财政补贴、自主创新4个方面，提出了进一步推进我国海水淡化开发利用的建议。     

Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes

This paper contributes to the nascent literature on nowcasting and forecasting GDP in emerging market economies using big data methods. This is done by analyzing the usefulness of various dimension-reduction, machine learning and shrinkage methods, including sparse principal component analysis (SPCA), the elastic net, the least absolute shrinkage operator, and least angle regression when constructing predictions using latent global macroeconomic and financial factors (diffusion indexes) in a dynamic factor model (DFM). We also utilize a judgmental dimension-reduction method called the Bloomberg Relevance Index (BRI), which is an index that assigns a measure of importance to each variable in a dataset depending on the variable’s usage by market participants. Our empirical analysis shows that, when specified using dimension-reduction methods (particularly BRI and SPCA), DFMs yield superior predictions relative to both benchmark linear econometric models and simple DFMs. Moreover, global financial and macroeconomic (business cycle) diffusion indexes constructed using targeted predictors are found to be important in four of the five emerging market economies that we study (Brazil, Mexico, South Africa, and Turkey). These findings point to the importance of spillover effects across emerging market economies, and underscore the significance of characterizing such linkages parsimoniously when utilizing high-dimensional global datasets.     

基于环境绩效的长江经济带工业用水效率

使用2005—2014年长江经济带11个省(市)的面板数据,基于投入导向的超效率DEA-CCR模型,测算含有非合意产出的全要素工业水资源利用率,利用Malmquist指数对全要素工业水资源利用率进行分解,分析工业水资源利用率提高和降低的主要影响因素,对全要素工业水资源利用率进行收敛性分析,判断各地区工业水资源利用率差异的变化趋势。研究结果表明:不同省(市)工业水资源利用率差距明显,下游地区最高,中游地区最低;2005—2014年,长江经济带区域工业水资源利用率总体呈提高趋势;科技进步是推动全要素工业水资源利用率提高的主要因素;长江流域工业水资源利用率呈收敛趋势,省(市)工业水资源利用率差距在缩小。     

Measuring systemic risk with regime switching in tails

This paper motivates the importance of modeling nonlinearities in measuring systemic risk. I capitalize this motivation by generalizing the CoVaR approach proposed by Adrian and Brunnermeier (2016) to allow it switching between a high and a normal risk regime filtered from data.. Considering the U.S. large bank holding companies (BHCs), this paper shows that modeling regime changes in tails is capable of capturing both amplification and mean-reversion effects of an adverse shock to a bank's balance sheet on the banking system. Using the Kolmogorov–Smirnov test statistics with and without bootstrapping, I perform the significance test to identify systemically important financial institutions (SIFIs), and the stochastic dominance test to rank the identified SIFIs. The stochastic dominance test raises the concern that the CoVaR measure underestimates systemic risk contributions for SIFIs but overestimates for non-SIFIs. Finally, applying the BHCs' characteristics and housing market price to forecast the regime-switching systemic risk out-of-sample, I obtain from 4- and 8-quarter-ahead horizons a desirable countercyclical, forward-looking measure of systemic risk.     

基于SBO-PP模型的水资源可持续发展能力评价模型及应用

为利用投影寻踪(PP)技术科学,客观评价区域水资源可持续发展能力,基于生态环境、水资源和经济社会因素选取20个指标构建区域水资源可持续发展能力评价指标体系。利用新型仿生群体智能算法——凉亭鸟优化(SBO)算法优化PP技术最佳投影方向,提出SBO-PP水资源可持续发展能力评价模型,并构建灰狼优化(GWO)算法-PP模型、人工蜂群(ABC)算法-PP模型、差分进化(DE)算法-PP模型、地理生物学优化(BBO)算法-PP模型、粒子群优化(PSO)算法-PP模型作对比,以云南省2006—2015年及2020年水资源可持续发展能力评价为例进行实例研究。结果表明:SBO算法优化PP技术获得的适应度值优于GWO、ABC、DE、BBO和PSO算法,具有较好的求解精度、稳健性能和极值寻优能力。SBO-PP模型对云南省2006—2007年水资源可持续发展能力评价为"较差",2008—2015年评价为"中等",2020年评价为"较强"。     

基于DEMATEL对煤炭企业供应商关键绩效指标间的关系分析

依据企业自身特点和要素间的关系构建评价指标体系,采用DEMATEL方法对淮南矿业集团的供应商选择评价进行研究。通过分析关键绩效指标间的逻辑关系和直接影响关系,揭示系统内要素的结构关系,为供应商的选择与供应链竞争力的提升提出了相应的建议。     

企业内部控制评价指标体系研究

通过对国内外内部控制研究文献的分析,从五要素即内部环境、风险评估、控制活动、信息与沟通及内部监督出发构建含5个一级指标21个二级指标的初始评价指标体系.然后通过探索性因子分析和验证性性因子分析对其可靠性及合理性进行检验,证明了该模型具有良好信度和效度等.最后将所构建的评价指标应用于同性质的企业并对其内部控制进行评价,结果验证所构建的企业内部控制指标体系的适用价值.     

澳门旅游高等教育合作办学机制研究

本研究结合澳门本土地缘特点、文化特点、产业特点、教育特点,对澳门旅游高等教育进行SWOT分析。研究发现澳门旅游高等教育与本澳高校之间,可利用本土地缘优势,实现本土高校之间图书资源共享、教材共建、研讨会交流学术成果等方式的合作;与外地高校之间,可通过电子文献资源共享,交换生与学分互认,短期游学或实习,师资拼盘共建课程体系等方式进行合作;与政府之间,可在政策、经费支持、学术团队支持等方面进行合作;与企业之间,可通过资源共享、优势互补等方面进行互惠合作。通过几种合作机制的探讨以期实现澳门旅游高等教育的跨越式发展。     

THE GINI CONCENTRATION INDEX: A REVIEW OF THE INFERENCE LITERATURE

More than a century ago, Corrado Gini proposed his well-known concentration index for measuring the degree of inequality in the distribution of income and wealth. His index is still extremely relevant and widely used in several fields of research and application. In this paper, we focus on the inferential properties of the Gini index, and discuss the main directions of analysis proposed in the literature. The aim of the paper is to provide a comprehensive review of the main developments on the inferential aspects of the Gini concentration ratio. We feel that this work can provide a valuable contribution to those scholars who are approaching the large amount of literature on the inferential properties of the Gini index.