A grey dynamic model for the evaluation of regional sustainable development and its empirical study

Currently, traditional development issues, such as economic stagnation, as well as new challenges like environmental degradation and globalization, need attention. Sustainable development, including economic, environmental, and social elements, is a main goal of decision-makers. The key to sustainable decision-making is to evaluate and forecast the status quo of sustainable development. Policy makers need a tool based on scientific information to forecast the effects of future actions on sustainability and make policies for sustainable development. This paper analyzes the relation of the economy, environment and social welfare by the grey dynamic model. The proposed method uses time series and basic indicators of ecological system, including economic, environmental and social sub-systems. It is applied to Heilongjiang Province and Jiangsu Province. The results have proved different status quo of sustainable development in these two regions, and suggestions are proposed, such as optimization of industrial structure and eco-industrial development. The conclusion is that there is no unique sustainable path, and accordingly, policy makers should choose different criteria and strategies to make efficient sustainable decisions for each region.     

How to Choose a Working Model for Measuring the Statistical Evidence About a Regression Parameter

Consider using a likelihood ratio to measure the strength of statistical evidence for one hypothesis over another. Recent work has shown that when the model is correctly specified, the likelihood ratio is seldom misleading. But when the model is not, misleading evidence may be observed quite frequently. Here we consider how to choose a working regression model so that the statistical evidence is correctly represented as often as it would be under the true model. We argue that the criteria for choosing a working model should be how often it correctly represents the statistical evidence about the object of interest (regression coefficient in the true model). We see that misleading evidence about the object of interest is more likely to be observed when the working model is chosen according to other criteria (e.g., parsimony or predictive accuracy).     

SIMULTANEOUSLY BALANCING SUPPLY–USE TABLES AT CURRENT AND CONSTANT PRICES: A NEW PROCEDURE

According to the 1993 System of National Accounts, the annual Supply–Use Tables (SUTs) need to be compiled at both current and constant prices by the National Institutes of Statistics. The most appropriate way to obtain consistent SUTs at both current and constant prices is to balance them simultaneously but, in this case, the main complexity is the nonlinearity that inevitably occurs. This paper proposes a new method to balance extremely large sets of National Accounts simultaneously at current and constant prices. The distinctive features of the proposed balancing method are its flexibility, which is very high compared with the other methods in the literature, and its capability to allow the control of the consistency of the system of deflators that are used. This new balancing method has been applied to balance the Italian 2006 SUTs simultaneously at current and constant prices, and it has yielded very good outcomes.     

New highways as economic development tools: An evaluation using quasi-experimental matching methods

Stimulating economic growth and development in rural and economically lagging regions is the goal of several federal and state highway programs. This paper examines the effectiveness of highway investment as an economic development tool. A quasi-experimental matching method is used to examine the effects of interstate highways on counties which obtained links during the period 1963–1975 or are in close proximity to these newly linked counties. The results show that the beneficiaries of the interstate links in terms of economic growth are interstate counties in close proximity to large cities or having some degree of prior urbanization, such as a city with more than 25,000 residents. Rural interstate and off-interstate counties exhibit few positive effects.     

Administrative Records and Surveys as Basis for Statistics on International Labour Migration

This paper discusses possible sources for statistics to be used for describing and analysing the number, structure, situation, development and impact of migrant workers. The discussion is focused on key, intrinsic features of the different sources, important for the understanding of their strengths and weaknesses, and draws the reader's attention to features which may tend to undermine the quality of the statistics produced as well as ways in which the impact of such features can be evaluated and, if possible, reduced. This discussion thereby provides concrete illustrations of many of the methodological issues referred to in (Hoffmann, 1995). The paper is organized around three key groups of migrant workers:

• (a) Persons who are arriving in a country to work there, i.e. the inflow of foreign workers;
• (b) Persons who are leaving their country to find work abroad, i.e. the outllow of migrant workers
• (c) Stock of foreign workers in the country.

Definitions of these groups are given in section 2. Sections 3 to 5 review, for each key group, main possible sources of statistics and the extent to which they can cover the group and identify separately important sub-groups. The discussion in each section distinguishes between administrative registrations and statistical surveys, and deals with the capacity of a source to provide estimates of the size of the group, and whether it can provide estimates of the amount of change in the group over time, or at least indications of the direction of such changes. Section 6 outlines problems related to other data quality dimensions, such as frequency and timeliness of the statistics as well as the validity, reliability and consistency of the registration of variables used to describe migrant workers and where they come from. Section 7 presents strategies for the development of statistics on migrant workers based on two model scenarios for “countries” of different geographic circumstances and institutional capacities. Summary recommendations on how to organize cooperation, for the production of statistics on migrant workers, between the relevant agencies and between them and the potential users are proposed in the concluding section. The overall conclusion is that trying to piece together a coherent statistical picture of any of the above key groups is similar to trying to put together a large puzzle based on photographs of a rapidly changing reality, with important pieces missing and many of the available photographs out of focus.     

应用统计抽样检验技术 逐步提高设备管理水平

简要介绍了统计抽样技术，界定了一些基本概念，说明了产品检验的统计抽样检验技术在设备管理中的具体应用。     

企业应用SPC的几个误区

作为一种提高产品质量和保证能力的重要技术措施，统计过程控制技术（SPC）在国内外各类生产厂家得到了普遍重视，本文针对SPC统计过程控制技术在企业应用时经常遇到的一些问题进行探讨，旨在推进SPC的贯彻和实施。     

高机动平台下雷达数据处理

本文讨论了在高机动平台下载机的两种机动模型：“当前”统计模型和Signer模型，并对两种模型作了仿真。仿真结果表明，在数据更新率很高的情况下，两种模型都很好，而在数据更新率较低的情况下，只有“当前”统计模型适用于高机动平台。     

高校科研成果竞争情报统计报告体系的构建

对大学科研成果竞争情报统计指标分类建库、多元检索,形成立体、动态、网络化的指标体系,有利于高校科研管理决策、科研教学人员科学交流与经验分享以及高校科研成果的转化。