Changes in food provision in Russian households experiencing perestroika

The purpose of this article is to describe how households in Novgorod the Great, Russia, deal with food provision in everyday life. The study focuses on changes experienced in food provision and consumption in Russian society, in order to illustrate how households respond to the transformation towards a market economy. The study reflects women's perspective on food provision. Students from Novgorod the Great visited 105 households and asked the women in the household to answer a questionnaire. Results from the study show that in order to cope with changes in society related to economic reforms, Russian households had changed both their food consumption and food production patterns. There was no big difference between urban and rural households. Nearly all of the households were self‐sufficient in the provision of vegetables and potatoes. Many households had a ‘dacha’ (plot), where they produced most of what they needed. Among the changes experienced during recent years (i.e. during the end of the 1990s), a decade after perestroika was initiated, households mentioned the rise in food prices and the decrease of income. Households reported that they consumed less fruit and/or meat. Some households also mentioned that the quality of nourishment had decreased, thereby indicating lower general quality, lower nutrition value, or less healthy foodstuffs.     

对徐志摩的再认识--试论茅盾的《徐志摩论》

文章结合徐志摩的诗文和个人生活经历，对茅盾的《徐志摩论》进行了重新认识和评价，深刻剖析了徐志摩思想、行为，进而得出了客观公允的评价，认为其为爱国的纯情诗人。     

对商誉的再探讨

商誉是无形资产中最为特殊的组成内容，过去人们封其性质和构成有不同的看法。在知识经济时代的今天，无形资产的性质和范畴认识得到深入，商誉的构成内容与无形资产的泉多组成内容有很多相同之处，商誉的实质就是多项未入账无形资产的总和。商誉的确认与计量问题也就转换为对企业自创无形资产的确认与计量，知识经济下应确认和计量对描述企业财务状况起关键作用的自创无形资产。但在不确定和充满风险的经济环境下，应积极稳妥地确认自创无形资产。自创无形资产的计量可按不同特点选择采用成本基础定价法、市场基础定价法、经济定价法。     

MTS在CSI测评中的应用

在顾客满意度指数测评理论中，引入马田系统的思想，通过相对与理想态基准空间马氏距离的比较，并通过定义典型的质量子模式，根据择近原则，可快速实现顾客满意度指数测评的质量模式识别。     

关于宪法司法化的再思考

对宪法司法化既要看到其对公民宪法权利保护、制约违宪行为、促进法治进程和中国宪政建设等方面的 积极作用,也不能对其作简单、理想化的理解。只有结合当代中国法制、法治和宪政的建设实践,通盘考虑,才能正确 认识宪法司法化在我国的法治与宪政建设中的作用。     

Expressive Constitutionalism

We argue that the standard Constitutional Political Economy defence of constitutionalism, that derives from an argument relating to the shift from narrowly self-interested motivations in the in-period context to relatively general-interest decision making in the constitutional context, is flawed precisely because it is intended to relate to essentially political settings where decision making must be construed as collective in nature. We suggest an alternate account of expressive constitutionalism that points to a specific defence of constitutional conventions that are insulated from popular voting.     

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.     

制度选择中的政府行为模型分析

运用新制度经济学的研究方法,对政府行为主体的作用进行分析,构建了一个政府行为模型,同时对政府行为的制度功能进行了说明。     

基于投入产出与解释结构建模法相结合的产业关联及层次识别建模

将投入产出方法与解释结构建模相结合,取长补短,提出了基于这两种方法相结合的产业关联层次识别的分析方法,并呈现了该方法的算法步骤、识别层次结果的基本特性以及其与以往产业关联分析方法的比较优势.最后以经统一调整的1997及2002年投入产出表为基础,对我国国民经济产业关联的层次识别进行实证分析,经对识别结果的跨期对比分析,证明该识别方法的解释效果良好.     

Seasonal decomposition and forecasting of telecommunication data: A comparative case study

In this paper, forecasting models for the monthly outgoing telephone calls in a University Campus are presented. The data have been separated in the categories of international and national calls as well as calls to mobile phones. The total number of calls has also been analyzed. Three different methods, namely the Seasonal Decomposition, Exponential Smoothing Method and SARIMA Method, have been used. Forecasts with 95% confidence intervals were calculated for each method and compared with the actual data. The outcome of this work can be used to predict future demands for the telecommunications network of the University.