基于灰色系统理论的江苏省入境旅游研究

入境旅游是旅游业的重要组成部分,本文运用灰色系统理论中的灰色关联度分析方法对江苏省旅游外汇收入与主要客源国入境旅游人次数之间的关联性进行分析,并建立了GM(1,1)灰色预测模型对江苏省典型创汇国未来的入境旅游客流规模进行预测,为江苏省入境旅游提供决策依据和方法参考。     

基于行业发展与政府规制双重约束的新疆旅游业用水需求预测

首先基于旅游业行业发展和水资源管理政府规制的双重约束,设计9种情景;然后从旅游全要素视角,建立由餐饮、住宿、能源、生态、购物等5类水足迹账户组成的旅游业用水需求量预测模型;将旅游业从业人员纳入账户,提出不同情景下旅游业5类水足迹账户的预测方法;最后对2025年不同情景下新疆旅游业用水量进行了预测。研究结果表明:2025年,相较于政府规制力度和行业发展速度,新疆旅游业用水需求量对后者更为敏感;9种情景中,中/强是最适宜的发展情景,即控制游客规模以9%的速度发展,旅游业年度新增就业人员4万人,政府控制万元工业增加值用水量年均节水率7%,控制居民生活用能源增速为5.52%。     

2006年全球经济展望:维持增长然幅度较缓慢

预计发达国家今明两年的经济增长将减缓,发展中国家虽然保持稳健增长的态势,但增长率将从2004年的6.8%减缓至2005年的5.8%,2006年则进一步减至5.7%。中国2006年全年继续维持9%左右的经济增长不致有太大问题。唯一担心的是2006年上半年中国可能出现通货紧缩。     

我国畜牧业科技进步贡献率的测算与分析

本文运用C-D生产函数的增长速度测算模型测算了"八五"至"十五"时期我国畜牧业科技进步贡献率,并对"十一五"时期的科技进步贡献率进行预测。结果表明,我国畜牧业科技进步贡献率由"八五"时期的43.34%上升到"十五"时期的50.79%,并有望在"十一五"时期达到53%以上。     

中国石油产量的VERHULST模型的建立与分析

随着我国国民经济的快速发展,对能源的需求逐渐增大,尤其是对石油的需求逐年上升,石油的供应问题已成为普遍关注的问题。我国石油资源赋存条件差,石油增储难度大,大多数主力油田已进入中后期开采阶段,石油产量增产难度大。面对日益增加的石油需求,及时准确、科学地预测我国今后一段时期石油产量,对于制定石油需求和石油战略储备计划具有重要的现实意义。因此,根据我国石油产量变化特点,建立了Verhulst模型,经过检验,模型预测精度很高,并对2020年以前的石油产量进行了预测。     

Using Leading Indicators to Forecast U.S. Home Sales in a Bayesian Vector Autoregressive Framework

This article uses Bayesian vector autoregressive models to examine the usefulness of leading indicators in predicting U.S. home sales. The benchmark Bayesian model includes home sales, price of homes, mortgage rate, real personal disposable income, and unemployment rate. We evaluate the forecasting performance of six alternative leading indicators by adding each, in turn, to the benchmark model. Out-of-sample forecast performance over three periods shows that the model that includes building permits authorized consistently produces the most accurate forecasts. Thus, the intention to build in the future provides good information with which to predict U.S. home sales. Another finding suggests that leading indicators with longer leads outperform the short-leading indicators.     

Revenue Forecasting Practices: Differences across Countries and Consequences for Forecasting Performance*

This paper reviews the practice and performance of revenue forecasting in selected OECD countries. It turns out that the cross‐country differences in the performance of revenue forecasting are first of all associated with uncertainty about the macroeconomic fundamentals. To some extent, they are also driven by country characteristics such as the importance of corporate and (personal) income taxes. Also, differences in the timing of the forecasts prove important. However, controlling for these differences, we find that the independence of revenue forecasting from possible government manipulation exerts a robust, significantly positive effect on the accuracy of revenue forecasts.     

世界旅游发展：2008年回顾和2009年展望

2008年全球经济衰退严重冲击世界旅游发展,不仅影响到全球国际入境旅游增长率大幅度下滑,而且使世界旅游经济主要指标也不同程度下降。随着全球经济进一步衰退,世界经济增长率继续下滑及各种经济因素的影响,使2009年世界旅游经济的增长与发展将继续面临严峻的挑战。     

Forecast of telephonometry of Xiqing District using chaos time series

The telecommunication industry has marched into telephonometry competition age. In order to forecast telephonometry development, an effective method by using the chaos time series is proposed. And the best estimate method is presented by contrasted with mature and advanced estimate methods as follows： the stochastic forest, stochastic gradient boosting, the support vector and artificial neuron network.     

Precision in auditing standards: effects on auditor and director liability and the supply and demand for audit services

Theoretical research suggests that large auditors have more incentive to issue accurate reports compared to small auditors (DeAngelo, 1981; Dye, 1993). Controlling for the client characteristics of large and small auditors, this paper shows that large auditors issue reports that are more accurate and more informative signals of financial distress. These findings are consistent with the theoretical prediction of a positive relationship between auditor size and auditor accuracy.