Impacts of Declining U.S. Retail Beef Demand on Farm-Level Beef Prices and Production

A systems model was estimated to determine the effects of declining U.S. retail beef demand on farm-level beef prices and production. Retail beef demand declined by nearly 66% from 1976 to 1999. Results indicate autonomous shifts in retail demand significantly impacted farm-level demands and production. Based on equilibrium multipliers, the 1976–99 reduction in beef demand decreased real slaughter cattle prices and production by 32.1% and 11.2%, respectively. Real feeder cattle prices and production decreased by 8.0% and 22.6%, respectively. Combining the decreases in farm prices and production, slaughter and feeder cattle producers experienced a real revenue reduction of $13.3 billion (61%) due to the long-term decline in demand.     

The Tax‐smoothing Hypothesis: Evidence from Sweden, 1952–1999

This paper tests Barro's (1979) tax‐smoothing hypothesis using Swedish central government data for the period 1952–1999. According to the tax‐smoothing hypothesis, the government sets the budget surplus equal to expected changes in government expenditure. When expenditure is expected to increase, the government runs a budget surplus, and when expenditure is expected to fall, the government runs a budget deficit. The empirical evidence suggests that the model provides a useful benchmark and that tax‐smoothing behavior can explain about 60 percent of the variability in the Swedish central government budget surplus.     

Forecasting Stock Index Futures Price Volatility: Linear vs. Nonlinear Models

The study examines the relative ability of various models to forecast daily stock index futures volatility. The forecasting models that are employed range from naïve models to the relatively complex ARCH-class models. It is found that among linear models of stock index futures volatility, the autoregressive model ranks first using the RMSE and MAPE criteria. We also examine three nonlinear models. These models are GARCH-M, EGARCH, and ESTAR. We find that nonlinear GARCH models dominate linear models utilizing the RMSE and the MAPE error statistics and EGARCH appears to be the best model for forecasting stock index futures price volatility.     

我国港口物流发展的实证分析

本文构造了港口物流发展的系统模型和综合评价指标体系,应用该指标体系,对我国上海、广州、天津、深圳等八个港口的物流发展水平进行了实证分析,给出针对性的对策建议。     

基于信息熵赋权的经营业绩指标评价模型

根据评价者需要，选取若干企业(或上市公司)作为被评价系统，建立一种企业经营业绩评价系统的多级多指标决策模型。该模型是在数理统计意义下将每个指标值进行标准规范化处理，用低级指标值通过信息熵自动赋权严生高一级指标值逐级递推，最后给出每个企业相对被评价系统的“理论分布得分”及“直观比较得分”。     

基于BSC的航运物流企业绩效灰色综合评价模型研究

采用改进的平衡记分卡(BSC)的方法,从企业的内外环境、财务与非财务指标相结合来设计航运物流企业绩效评价指标,最后通过改进灰色关联法进行算例验证,算例检验结果表明这种评价模型具有现实可行性。     

Sequential Malmquist Indices of Productivity Growth: An Application to OECD Industrial Activities

The paper applies both the standard DEA methodology with contemporaneous frontiers and DEA with sequential frontiers to study changes in productivity and efficiency in manufacturing for a sample of eleven OECD countries over a twenty-year period. It uses a decomposition of the industrial Malmquist productivity indices to locate the sources of productivity growth: 'technical progress' and 'catching up.' The alternative indices are interrelated in a unifying framework that provides an interpretation to their difference. We argue that for manufacturing industries, in which technological regress is unlikely to occur, DEA with sequential frontiers provides a more adequate measure for the contribution of technical changes than standard DEA.     

我国铁路行包运输统计指标体系的基本框架研究

铁路行包运输统计指标体系是铁路行包运输统计工作的重要载体.本文分析了当前我国铁路行包运输统计指标体系存在的问题,讨论了铁路运输业统计指标体系的设计原则,设计了铁路行包运输统计指标体系的基本框架.     

一种新的顾客满意度指数测评模型

顾客满意度指数是近年来许多国家和地区积极开展研究和采用的一种新的经济指标。本文在已有研究的基础上,结合我国消费者行为的特点,构建了一种新的顾客满意度指数测评模型。该模型在期望不一致模式的基础上,同时考虑了公平模式和需要不一致模式,引入感知公平和感知价格变量,并为这些结构变量设计了相应的观测变量和路径关系,建立了由顾客满意、企业形象、感知价格到顾客忠诚三条路径关系,改变了传统模型中从顾客满意到顾客忠诚路径过于单一的情况。     

我国企业财务管理目标的现实选择

随着会计国际化进程的进一步发展，传统的财务管理已远不能适应现代企业管理的需要。企业要想在激烈的市场竞争中得以生存和发展，就必须适应现代企业制度的要求，进一步加强企业财务管理，而其首要问题是必须树立现代企业财务管理的总目标。