Land use externalities, open space preservation, and urban sprawl

Parcel data on residential land conversion are used to investigate how land use externalities influence the rate of development and modify policies designed to manage urban growth and preserve open space. Several “smart growth” policies are found to significantly influence land conversion, including a development clustering policy that concentrates development and generates preserved open space. In addition to directly affecting a parcel's hazard rate of conversion, this policy is found to affect neighboring parcels' conversion by generating a positive open space externality that hastens their development. The implication that the clustering policy could generate a more sprawled pattern of development is explored using spatial simulation.     

物流速度与物流时间管理

根据目前中国国内物流的现状，提出耍改善物流行业的整体状况，必然需要加快物流速度，减少物流时间以节省物流成本。文章引入物流速度与物流时间管理的概念，并由此提出了一些具体的物流时间管理方法。     

The housing question in Japan

This article first examines how bad housing conditions are in Japan based on international comparisons. The next question is whether the extremely high land prices in Japan can be explained by economic logic. We then turn to more specific housing policy questions that are peculiar to or important in Japan, such as the tax advantages of owning land that have caused under-utilization of land and the reasons why the average size of Japanese rental housing is so small.     

Legalization of drugs: Effects on the workplace

In the last few years bipartisan support for legalizing drugs has grown to a surprising level. Because of the lack of involvement of the business community in this debate, we surveyed the human resource managers of 127 firms about their perceptions of the effects of legalization. Their responses were uniformly negative, with expectations that drug use, absenteeism, worksite crime, and liability costs would increase, while the quality and quantity of work would decline. They also forecast increases in drug testing, performance monitoring, and education and rehabilitation programs as a result.     

Forecasting economic time series with unconditional time-varying variance

The classical forecasting theory of stationary time series exploits the second-order structure (variance, autocovariance, and spectral density) of an observed process in order to construct some prediction intervals. However, some economic time series show a time-varying unconditional second-order structure. This article focuses on a simple and meaningful model allowing this nonstationary behaviour. We show that this model satisfactorily explains the nonstationary behaviour of several economic data sets, among which are the U.S. stock returns and exchange rates. The question of how to forecast these processes is addressed and evaluated on the data sets.     

供应链信息流研究综述

通过对供应链信息流相关文献分析,从信息流运作对供应链整个响应时间压缩的影响、信息流的研究内容和研究方法三个方面,对该领域研究进行分析总结,并就进一步研究提出展望。     

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.     

宅基地使用权转让的法律路径——兼评《物权法草案》第162条

设计宅基地使用权的转让制度既要充分考虑我国农村的现实，又要保持相关规则之间的协调。“一户一宅”原则宜表述为“一户只能申请一处宅基地”。物权法对宅基地使用权的转让可以进行必要的限制，但不宜作出绝对的禁止性规定，应当允许宅基地使用权在一定条件下和一定范围内转让。非本集体经济组织成员受让宅基地使用权有其必要性，但必须予以限制。宅基地使用权转让的登记制度，可统一采用“未经登记，不发生物权的效力”的处理模武。     

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。