上市公司信息披露违规影响因素的实证研究

针对目前中国上市公司信息披露违规事件的频繁发生,选取2003年2月至2004年8月被公开谴责的上市公司作为样本,通过分层随机抽样引入配对样本———期间未被谴责的上市公司,从行业特征、股权结构、规模、盈利能力、负债状况等方面分析被谴责上市公司的特征,实证研究上市公司发生信息披露违规的影响因素。研究结果表明,行业特征、公司的规模以及盈利能力对其发生信息披露违规有显著的影响作用。     

基于人工神经网络的企业生产预警管理系统研究

企业生产预警管理是生产企业现代管理的一种新模式,它通过监测指标,对企业外部环境变化和生产管理活动进行综合评价,判断企业生产管理所处状态,并采取相应的预先控制对策,使企业生产管理活动始终处于“安全、有效”的管理模式。人工神经网络是广泛应用于众多学科的非线性模拟技术,文章将人工神经网络技术应用到企业生产预警管理中,根据影响生产管理的指标和分类标准随机生成有效的样本数据以建立人工神经网络模型。结果表明样本生成方法和应用人工神经网络技术进行企业生产预警管理评估的方法是合理并可行的。     

浅谈房地产公司战略采购材料部品送认封管理

通过材料部品样品送样、认样、封样的全过程管理,实现材料部品的收集、分类、整理、入库、出库的过程跟踪控制,明确职责划分实施全过程可追溯的有效资源管理模式。     

Productivity growth and biased technological change: The case of Moroccan hotels

This paper proposes a procedure to analyze Moroccan hotels productivity, based on Luenberger productivity indicator to estimate and decompose productivity change into efficiency change and technological change. This paper enlarges the procedure and further decomposes technological change to study the sources of bias in technological change. Therefore, a clearer and more enlightening view of tourism productivity change emerges. Policy implications are developed.     

Block recursion and structural vector autoregressions

In applications of structural VAR modeling, finite-sample properties may be difficult to obtain when certain identifying restrictions are imposed on lagged relationships. As a result, even though imposing some lagged restrictions makes economic sense, lagged relationships are often left unrestricted to make statistical inference more convenient. This paper develops block Monte Carlo methods to obtain both maximum likelihood estimates and exact Bayesian inference when certain types of restrictions are imposed on the lag structure. These methods are applied to two examples to illustrate the importance of imposing restrictions on lagged relationships.     

终极控制权性质与公司绩效——基于配对样本的实证检验

本文基于终极控制权理论考察终极控制权性质对公司绩效的影响。研究发现:在非保护性行业中,在控制公司规模、行业、上市地点、财务杠杆、治理因素以及上年度业绩的情况下,民营终极控制权的上市公司业绩显著高于非民营上市公司。在保护性行业中,国有控制权与民营控制权对公司业绩的影响无显著差异。本文提供了终极控制权性质与公司绩效的系统性经验证据,对于继续进行民营化改革的政策制定与监管具有一定的参考价值。     

Sampling,discounts or pay-what-you-want: Two field experiments

Free sampling and price discounts are important, popular promotional tools used to attract new customers by reducing their risk of trial. The authors investigate pay-what-you-want (PWYW) as an alternative promotional tool to free sampling and price discounts in two field experiments. The authors find significant differences in perceived promotional characteristics and relevant performance measures, such as trial and repeat purchases by new customers. The entertaining and innovative character of PWYW induces many people to try it. PWYW may yield a higher repeat purchase rate of new customers, and sellers using PWYW benefit from higher word-of-mouth behavior. Finally, PWYW yields the highest promotional revenues.     

Performance analysis of the Gulf hotel industry: A Malmquist index with bias correction

This study uses the Malmquist index with bias correction to analyze the performance of hotel chains from the UAE, Saudi Arabia and Oman. We show that Saudi Arabia hotel chains have the highest productivity growth, followed by the UAE and Omani hotel chains. A further decomposition of productivity indicates that a small number of hotel chains experienced an increase in revenues for lower occupancy rate, while most other hotel chains experienced an increase in occupancy rate for lower revenues. Related market discussions of the results are provided.     

Optimal designs for generalized linear models with biased response

This paper is concerned with the search for locally optimal designs when the observations of the response variable arise from a weighted distribution in the exponential family. Locally optimal designs are derived for regression models in which the response follows a weighted version of Normal, Gamma, Inverse Gaussian, Poisson or Binomial distributions. Some conditions are given under which the optimal designs for the weighted and original (non-weighted) distributions are the same. An efficiency study is performed to find out the behavior of the D-optimal designs for the original distribution when they are used to estimate models with weighted distributions.     

Joint confidence region for the parameters of pareto distribution

The Pareto distribution is commonly used by economists as a model for the distribution of incomes. Separate confidence intervals or approximate confidence intervals for the parameters of Pareto distribution were discussed by some authors. This paper discusses exact joint confidence region for the parameters of Pareto distribution. The method can be used for both complete samples and type II censored samples.