环首都贫困带农村贫困家庭识别及其特征

克服传统的贫困线的弊端,利用"环首都贫困带22县人口状况"调查数据,采用微观多维度层次分析法将贫困带家庭按照"贫困—富裕度"划分为5类:非常贫困户、有些贫困户、一般户、比较富裕户和非常富裕户。通过对5类家庭进行比较分析,揭示出贫困带贫困家庭老年人口贫困化、人力资本存量低、收入来源单一以及脆弱性突出等特征。     

Pre-decisional information acquisition: Why do we pay too much for information? Brief report

People tend to acquire more information while making their decisions than a rational and risk-neutral benchmark would predict. We conduct a carefully designed experiment to derive five plausible reasons for pre-decision information overpurchasing. The results show that overpurchasing of information can be almost entirely explained by systematic information processing errors (misestimation or incorrect Bayesian updating), possibly caused by biased intuitive decision processes. Other factors, such as overoptimism about the validity of the new information, risk aversion, ambiguity aversion, and curiosity about (irrelevant) information, play at most a minor role. Our results imply that information overacquisitions are mainly driven by the overestimation of the usefulness of additional information.     

论网络金融犯罪及侦查对策

由于金融业电子化趋势的加快,网络金融犯罪呈上升趋势,深入研究网络金融犯罪已经势在必行。网络技术的发展,使得网络金融犯罪的隐蔽性更强,社会危害性更大。在进行这类案件侦查时,应注重计算机技术与侦查技术相结合,全面收集各种证据,同时要加强地区间的侦查协作,针对网络金融犯罪的特点,灵活使用各种侦查策略。     

基于RS与ANN的上市公司财务困境预测模型的实证研究

本文以中国上市公司作为研究对象,采用粗糙集理论(RS)客观选出预测模型指标体系,以因财务状况异常而被列为特别处理公司(ST公司)作为界定上市公司的财务困境标志,采用人工神经网络(ANN)寻找最佳的利用公开财务数据预测中国上市公司财务困境的模型。我们的研究结果表明,总资产报酬率等18个包括现金流量类指标的财务指标有较强的区分财务困境公司和财务健康公司的能力;行业类型和资产规模对于上市公司财务困境预测具有至关重要的作用;运用ANN建立的神经网络模型有较强和较稳定的预测能力。     

西方国家转移支付制度的经验及对我国的启示

介绍了西方国家的转移支付制度及其对我国的启示:加快转移支付立法,完善转移支付的法律监督体系;明确划分各级政府的事权;按照财权与事权相匹配的原则,合理划分各级政府的收入;优化转移支付结构,规范转移支付的方式;规范转移支付的分配方法,用"因素法"替代"基数法"。     

经济政策不确定性如何影响金融市场间的流动性协同运动？——基于中国金融周期的视角

金融市场间流动性出现高协同运动是发生危机传染的重要表现之一，因此，针对流动性动态联动效应的研究显得极为重要。本文基于中国金融市场数据测算了2003-2018年间我国股市、债市流动性，并对Colacito等（2011）的混频数据抽样动态条件相关系数模型（DCC-MIDAS）进行了扩展，同时从金融周期视角出发，运用扩展后的模型考察了经济不确定性在不同时间区间内对于流动性波动率和相关性是否存在不同的作用效果。研究结果表明，相较于单因子混频模型，引入经济政策不确定性的多因子混频模型可以更好地捕捉我国股债两市相关性的动态变化；同时，经济政策不确定性的提高会降低股债两市流动性的正相关性，但这一作用效果会在金融周期的拐点处转为加强两者的正相关性。本文不仅为讨论股债两市联动效应提供了流动性的新视角，也为金融市场风险监管提供了重要的参考依据。     

基于全球证券投资网络的中国金融影响力测评

金融市场的国际影响力是一国综合国力的重要组成部分，到目前为止，对一国金融市场的国际影响力进行系统性测评的指标体系还没有形成。本文基于国际货币基金组织（IMF）协调证券投资调查数据库公布的全球双边证券投资头寸数据编制了2017年6月“国家（地区）×国家（地区）”形式的全球证券投资头寸表，并以该表的数据为基础模拟了全球证券投资网络。然后采用社会网络与马尔可夫链分析方法，编制了金融影响力指数，系统考察了中国在全球证券市场的直接与潜在金融影响力。研究发现：全球证券交易以美国、卢森堡、英国、日本、法国、德国等发达国家为中心，中国金融影响力在全球排名第17位，尚未进入全球证券决策的核心，但已经成为全球证券市场中一支不可或缺的力量。     

Global Warming Risk Perceptions in India

Few studies have focused on global warming risk perceptions among people in poor and developing countries, who are disproportionately impacted by climate change. This analysis conducts a comprehensive assessment of global warming risk perceptions in India using a national sample survey. Consistent with cultural theory, egalitarianism was positively associated with global warming risk perceptions. In addition, perceived vulnerability and resilience to extreme weather events were also two of the strongest factors associated with global warming risk perceptions. While worry was positively associated with risk perceptions, it accounted for only a small proportion of the variance, unlike studies in developed countries. Finally, the study also collected global warming affective images. The most common responses were “don't know” or “can't say” (25%), followed by “pollution” (21%), “heat” (20%), and “nature” (16%). The study finds that the predictors of global warming risk perceptions among the Indian public are both similar and different than those in developed countries, which has important implications for climate change communication in India.     

A Factor Analysis Approach Toward Reconciling Community Vulnerability and Resilience Indices for Natural Hazards

The concepts of vulnerability and resilience help explain why natural hazards of similar type and magnitude can have disparate impacts on varying communities. Numerous frameworks have been developed to measure these concepts, but a clear and consistent method of comparing them is lacking. Here, we develop a data-driven approach for reconciling a popular class of frameworks known as vulnerability and resilience indices. In particular, we conduct an exploratory factor analysis on a comprehensive set of variables from established indices measuring community vulnerability and resilience at the U.S. county level. The resulting factor model suggests that 50 of the 130 analyzed variables effectively load onto five dimensions: wealth, poverty, agencies per capita, elderly populations, and non–English-speaking populations. Additionally, the factor structure establishes an objective and intuitive schema for relating the constituent elements of vulnerability and resilience indices, in turn affording researchers a flexible yet robust baseline for validating and expanding upon current approaches.     

Globalization,financial development and economic growth: Perils on the environmental sustainability of an emerging economy

The study examines the effects of globalization, financial development, economic growth, and energy consumption on environmental sustainability in India over the period 1980–2015. The novelty of the study is the assessment of environmental sustainability in a single framework encompassing globalization, financial development, and growth effects. Findings reveal that an increased level of globalization and financial development while improving economic performance are inimical to the sustainability of the environment. In the short-run, globalization, economic growth, and increased energy consumption are contributing directly to environmental degradation, while banking sector development is impacting environmental sustainability adversely through the economic growth channel. Given the severity of the findings amidst India’s tryst with economic growth, proactive policies are warranted to encourage adaptation of greener and cleaner technologies in environmentally sustainable areas. This necessitates improved institutional quality encompassing stringent environmental standards, legal systems, property rights, corruption, financial information quality, etc., alongside the provision of incentives and subsidies to manufacturing firms undertaking technological innovations and complying with the environmental standards.