基于行政学原理的区域旅游不合作研究

随着世界经济全球化和一体化不断深化,区域经济的集团化、合作化趋势日益增强,区域旅游也不例外。但是,在我国区域旅游合作迅猛发展的过程中,区域旅游不合作仍是一个较为突出的现象或问题。运用行政学的相关原理,在列举出几个典型的区域旅游不合案例并对之进行分析的基础上,提出了解决对策建议。     

论我国现行缺陷产品召回制度

我国有关缺陷产品召回制度的法律规范或者原则性较强缺乏可操作性、或者位阶较低不具有广泛性、或者针对特定产品适用面较窄。所以,我们应借鉴发达国家的先进经验制定有关缺陷产品召回制度的基本法律和针对特定行业的特别法律,同时建立明确的缺陷产品召回管理体系,以形成保护消费者、维护市场安全与稳定的健全的法律制度和运行机制。     

省级以下土地垂直管理及实施难度研究

阐述土地管理机构垂直管理是满足现阶段市场经济要求的有效管理体制，符合当前行政管理体制改革中垂直管理渐强的趋势。实行机构垂直领导体制是统一当前国土资源管理的基本要求，是当前市场经济阶段处理中央与地方关系，加强中央宏观调控能力和防范经济风险的必然选择。新形势下的垂直管理在实施之初转变领导意识，正确处理国土资源管理部门与地方政府的关系，重视自身的权力监督与约束制度建设。     

Locally Greater Vulnerability to Background Risk

Willingness to take on risk is influenced by the presence of fair and unfair background risks for decision makers who are risk vulnerable as defined by Gollier and Pratt [1996], for these decision makers are more risk averse when they possess such an uninsurable background risk. We present an alternative derivation of the index of local vulnerability based on Diamond and Stiglitz [1974] compensated increases in risk, such that risk aversion increases with the introduction of any small fair background risk if and only if the index of local vulnerability is positive. We establish that the increase in risk aversion is greater for those who are more vulnerable as measured by the index of local vulnerability.     

A Semiparametric Method for Valuing Residential Locations: Application to Automated Valuation

This paper is motivated by automated valuation systems, which would benefit from an ability to estimate spatial variation in location value. It develops theory for the local regression model (LRM), a semiparametric approach to estimating a location value surface. There are two parts to the LRM: (1) an ordinary least square (OLS) model to hold constant for interior square footage, land area, bathrooms, and other structural characteristics; and (2) a non-parametric smoother (local polynomial regression, LPR) which calculates location value as a function of latitude and longitude. Several methods are used to consistently estimate both parts of the model. The LRM was fit to geocoded hedonic sales data for six towns in the suburbs of Boston, MA. The estimates yield substantial, significant and plausible spatial patterns in location values. Using the LRM as an exploratory tool, local peaks and valleys in location value identified by the model are close to points identified by the tax assessor, and they are shown to add to the explanatory power of an OLS model. Out-of-sample MSE shows that the LRM with a first-degree polynomial (local linear smoothing) is somewhat better than polynomials of degree zero or degree two. Future applications might use degree zero (the well-known NW estimator) because this is available in popular commercial software. The optimized LRM reduces MSE from the OLS model by between 5 percent and 11 percent while adding information on statistically significant variations in location value.     

中国财政分权问题研究:一个文献综述

伴随着中国改革开放后经济的持续快速增长,越来越多的国内外学者围绕中国的财政分权问题展开研究。财政分权问题涉及到诸多因素,对其研究必须采用多层次的视角。既有的研究成果多囿于财政分权的某个局部层面,尚未见一个能够解释、分析中国财政分权问题的完整理论框架出现。     

Testing for Vertical Fiscal Externalities

The purpose of this paper is to design a test of whether the vertical external effects associated with tax base sharing among local and regional governments have become internalized via the intergovernmental transfer system. Such tests are important in the sense that the income tax rates chosen by different levels of government will generally be correlated, even if the resource allocation is optimal from society's point of view. By using panel data for the Swedish local and regional public sectors, the results imply that an increase in the regional income tax rate induces the municipalities in the region to decrease their income tax rates. In addition, we are able to reject the null hypothesis that the vertical external effects have become internalized.     

Risk management under extreme events

This article presents two applications of extreme value theory (EVT) to financial markets: computation of value at risk (VaR) and cross-section dependence of extreme returns (i.e., tail dependence). We use a sample comprised of the United States, Europe, Asia, and Latin America. Our main findings are the following. First, on average, EVT gives the most accurate estimate of VaR. Second, tail dependence of paired returns decreases substantially when both heteroscedasticity and serial correlation are filtered out by a multivariate GARCH model. Both findings are in agreement with previous research in this area for other financial markets.     

Inference with Dependent Data in Accounting and Finance Applications

We review developments in conducting inference for model parameters in the presence of intertemporal and cross‐sectional dependence with an emphasis on panel data applications. We review the use of heteroskedasticity and autocorrelation consistent (HAC) standard error estimators, which include the standard clustered and multiway clustered estimators, and discuss alternative sample‐splitting inference procedures, such as the Fama–Macbeth procedure, within this context. We outline pros and cons of the different procedures. We then illustrate the properties of the discussed procedures within a simulation experiment designed to mimic the type of firm‐level panel data that might be encountered in accounting and finance applications. Our conclusion, based on theoretical properties and simulation performance, is that sample‐splitting procedures with suitably chosen splits are the most likely to deliver robust inferential statements with approximately correct coverage properties in the types of large, heterogeneous panels many researchers are likely to face.     

Setting consolidated reporting standards for local government

Under a corporatization trend, traditional financial reporting is generally considered unable to offer a complete view of the economic and financial activities of a group of public entities. Consequently, several reforms and standards have been introduced related to consolidated financial reports. Through interviews with key actors, the authors analysed the normativity process for issuing consolidated reporting standards for local governments in three European countries: Italy, Spain, and Sweden.