Party alternation,divided government,and fiscal performance within US States

The literature on US state government fiscal performance has examined the role of institutional factors such as budget rules and divided government, but has largely ignored the impact of party alternation. This paper primarily focuses on whether party alternation in the governor’s office affects fiscal performance. Our hypothesis is that frequent party changes create a political environment that impacts fiscal performance. To further assess the impact of party alternation on fiscal performance, we consider our primary hypothesis in conjunction with the degree of division that exists between the governor’s office and the legislature. Using panel data from 37 states between 1971 and 2000 we test the hypothesis that frequent party alternation can be expected to affect fiscal performance and find strong support for the hypothesis. An earlier version of this paper was presented at the 2005 Public Choice Society Meetings. The authors would like to thank the conference participants, William Shughart, Charles Register, Jocelyn Evans, John D. Jackson, Amihai Glazer, and two anonymous referees for their comments. We would also like to thank Craig R. Stiller for his help in the collection of data. Any remaining errors remain the responsibility of the authors.     

基于径向基神经网络的物流绩效评价方法

在分析物流绩效关键影响因素基础上,提出采用径向基神经网络模型应用于物流绩效评价测试。以多个主要影响因子为网络的输入信息,建立物流绩效综评遗传神经网络模型,采用正交最小二乘法进行学习训练,进行不同综合评价方法对比。     

Product attributes and models of multiple discreteness

Demand for product characteristics is examined within the context of models that allow for both corner and interior solutions corresponding to zero and non-zero demand. Product attribute information is associated with marginal utility and curvature (satiation) parameters of various utility functions. Empirical applications demonstrate the need for incorporating characteristics in a fairly general way. We also compare our approach to an ideal point and pure Lancasterian versions of our nonlinear utility model. The data support our model over either the ideal point or Lancasterian variants.     

Seasonality and non-linear price effects in scanner-data-based market-response models

Scanner data for fast moving consumer goods typically amount to panels of time series where both N and T are large. To reduce the number of parameters and to shrink parameters towards plausible and interpretable values, Hierarchical Bayes models turn out to be useful. Such models contain in the second level a stochastic model to describe the parameters in the first level.     

库存周期计算的价值方法和实物方法研究

研究比较了库存周期计算的价值方法和实践中常常使用的实物方法,并以钢铁制造企业的钢卷产品为例加以说明。     

企业评价创新——从绩效评估到基于战略聚焦的价值管理

新经济时代的企业环境促使企业管理战略发生了巨大变化,同时又为企业组织与运营模式的创新提供了先进手段。在这种环境下,传统绩效评价模式呈现出诸多方面的缺陷和不适,因此必然要求相应的改变。本文分析了企业绩效评价的研究现状,探讨绩效管理的发展趋势,最后就两种面向战略聚焦的价值管理模式进行评述。     

Research on Firm Size, Firm Performance and Internal Auditing Modes——Based on Listed Manufacturing Companies of China

This paper is based on the samples of listed manufacturing companies of China, taking the financial performance as criterion, and then does research on the firm performance with different internal auditing modes, using Cross-sectional data to analyze the distribution of internal auditing modes and the characteristics of the firm performance. The conclusion is that setting up internal auditing is good for the development of companies, but the function of internal auditing has not been widelv fulfilled.     

基于多元统计分析的封闭式基金业绩评价

本文引入在险价值(VaR)和基金折价率指标,利用因子分析和聚类分析方法对基金业绩进行综合评价。实证分析发现我国封闭式基金收益率优于市场收益率,少数几只基金业绩相对突出,实现低风险高收益的目标。但封闭式基金折价幅度较大,基金内部收益水平与外部评价状况背离,反映了市场投资者的投资非理性现象。     

Linear Programming Models for the Measurement of Environmental Performance of Firms—Concepts and Empirical Results

I use linear programming models to define standardised, aggregate environmental performance indicators for firms. The best practice frontier obtained corresponds to decision making units showing the best environmental behaviour. Results are obtained with data from U.S. fossil fuel-fired electric utilities, starting from four alternative models, among which are three linear programming models that differ in the way they account for undesirable outputs (pollutants) and resources used as inputs. The results indicate important discrepancies in the rankings obtained by the four models. Rather than contradictory, these results are interpreted as giving different, complementary kinds of information, that should all be taken into account by public decision-makers.