煤炭资源型城市聚集经济与城市化水平研究

运用可变权系数综合评价模型对2002年中国煤炭资源型城市城市化水平进行测度;基于1999～2002年度煤炭城市面板数据,应用随机效应模型估计煤炭城市聚集经济水平;结果表明,我国煤炭城市城市空间经济结构效率和其城市化水平并不具有正相关性,许多城市化水平相对较高的煤炭城市的聚集经济较差,并没有显示出城市化经济的优势.     

城市货运发展统计数据分析与建模

21世纪的物流在上海的经济活动中扮演着重要的角色,货运在城市交通中所占的比重日益增 加,如何科学地预测货运总量的发展趋势,对上海城市交通规划有着重要的意义。本文采用基于时间序列的 ARIMA模型,构建了上海货运总量发展模型,并对上海中短期的货运发展情况进行预测。     

实时控制系统中的任务模型及调度算法设计

控制系统的实时任务能否在规定的时限内完成依赖于调度算法的好坏。首先给出控制系统中实时任务模型，包括实时周期任务和实时非周期任务；然后，在考虑优先级倒置和非周期任务的基础上，介绍一种静态优化调度算法(RMS)；最后，对调度算法进行可调度性分析。     

广州市居民的旅游偏好和出游时间研究

根据2001年10月至2002年1月对广州702名市场进行的抽样调查资料，对广州市居民的旅游偏好和出游时间进行了分析研究，试图找出广州居民的旅游偏好和出游时间特征。     

网络时代高校德育教育的对策

在网络时代，人们的活动范围开始从实际领域向虚拟空间扩展，原本在地域文化基础上形成簟思想观念、价值取向等更多的受到了外来文花的冲击，人类整个思想文化领域正经历着深刻的变化。高校德育工作者务必抓住时机，积极寻找对策，充分发挥网络的优势，扬长避短，开辟德育教育的新天地。     

发展粮食期货市场 促进粮食市场化改革

随着粮食生产经营的全面市场化,健全和完善粮食期货市场有了更重要的现实意义:调节粮食供求,稳定粮食价格;优化粮食品种结构,推动产业化经营;为粮食企业提供避险渠道;减轻入世冲击,保护粮食安全。文章指出发展粮食期货市场的政策措施包括:推出大宗粮食期货交易品种;培育和发展套期保值用户;规范粮食现货市场;发展商品投资基金;开创场外交易;调整不符合国际惯例的法规政策。     

基于GASA算法的提前或拖期问题优化

针对企业生产的提前 /拖期问题,提出了提前 /拖期问题的数学模型,在此基础上,利用GASA混合优化策略优化之,既保留了传统遗传算法能很快达到最优值领域的优点,又通过结合模拟退火算法大大改善传统遗传算法在后期的收敛性。     

Feminist Ecological Economics and Sustainability

Synopsis New developments in feminist ecological economics and ecofeminist economics are contributing to the search for theories and policy approaches to move economies toward sustainability. This paper summarizes work by ecofeminists and feminist ecological economists which is relevant to the sustainability challenge and its implications for the discipline of economics. Both democracy and lower material throughputs are generally seen as basic principles of economic sustainability. Feminist theorists and feminist ecological economists offer many important insights into the conundrum of how to make a democratic and equity-enhancing transition to an economy based on less material throughput. These flow from feminist research on unpaid work and caring labor, provisioning, development, valuation, social reproduction, non-monetized exchange relationships, local economies, redistribution, citizenship, equity-enhancing political institutions, and labor time, as well as creative modeling approaches and activism-based theorizing.      

Monitoring the mean and the variance of a stationary process

We deal with the problem of how deviations in the mean or the variance of a time series can be detected. Several simultaneous control charts are introduced which are based on EWMA (exponentially weighted moving average) statistics for the mean and the empirical variance. The combined X − S² EWMA chart is extended to time series. Further simultaneous charts are considered. The comparision of these schemes shows that the residual attempt must be favored if a variance change is present.     

A modified logit model for time series with an application to the pricing behaviour of manufacturing firms in Australia

The modified logit model (Amemiya and Nold, 1975) is generalised to the case where the error term is autocorrelated. The asymptotic distribution (as n →∞ and T →∞) of a feasible GLS estimator of β is derived. Tests of linear restrictions on β and the significance of ρ are presented. The results of the applied work suggest that the factors which explain the pricing behaviour of manufacturing firms, as reported in the tendency survey conducted by the Australian Chamber of Commerce and Industry and the Westpac Banking Corporation, include historical inflation rates of up to 7 quarters and capacity utilisation. First version received: March 2001/Final version received: July 2002 RID="*" ID="*"  The first draft of this paper was written while the author was on study leave at the Department of Econometrics, University of Sydney, Australia.