安徽省耕地保护前景分析

随着社会经济的发展，安徽省耕地供需矛盾日益突出，科学地分析安徽省耕地保护前景，探寻合理的耕地保护对策．具有重要的现实意义。本文立足于安徽省耕地资源现状，从粮食生产、非农建设占地两方面探讨安徽经济发展对耕地的需求前景，并采用灰色系统模型对耕地的供给变化进行预测，通过耕地供需形势的分析，针对性地提出保护耕地的相应对策。     

社会预测体制的生成与演变

预测活动是现代人类活动的基础,科学地预见未来与人类的命运休戚相关。该文在梳理预测体制形成的历史流变的基础上,着重探讨了现代预测体制的确立及其在领导体制中的重要地位,特别是现代预测体制中的国家预测系统已成为国家安全的重要依托之一。正是由于各国建立了日趋完善的预测体制,现代国际政治关系才得以形成并稳定下来。现代预测体制正朝着控制整个社会体制的方向发展。现代社会中所有机构的决策却越来越依赖于预测;社会体制的改革是预测体制行为新范式的灵魂。     

回归分析法在经济预测中的应用浅析

回归分析法是在经济预测中常用的方法之一，它是在观察和分析经济发展的历史和现状的基础上，按照一定的方式建立反映其关系的数学模型，然后根据自变量在未来的变化来计算预测变量的变化，从而对未来的经济发展趋势进行预测。其关键是建立回归模型，并进行相关分析和结果预测。     

Reconfiguring the innovation policy portfolios for Taiwan's SIP Mall industry

Since the year 2000, silicon intellectual property (SIP), which can minimize the gap in ‘design productivity’ that exists with systems-on-chip (SOC), has become one of the most important factors in the development of integrated circuit (IC) products in the SOC era. Although SIP is very important for IC industry development, complicated business, technical as well as legal issues inside SIP transactions have hindered successful transactions and the integration of SIPs into SOCs. Thus, web-based SIP e-Commerce mechanisms, called SIP Malls, have emerged, aiming to resolve complex SIP issues. To maintain its leading position and competitiveness in the World's IC industry, as well as the value added by SOC products in Taiwanese IC firms, the Taiwanese government has developed SIP Malls, using innovation policy tools. However, the Taiwanese SIP Mall industry remains immature. No existing Taiwanese SIP Malls generate a profit or account for a significant share of worldwide SIP transactions. This research will develop an analytical framework for defining an innovation policy portfolio that aims to develop Taiwan's SIP Mall industry, so that it will enhance the value added of SIP Malls and, thus, the nation's competitiveness in the SIP and IC industries, something which already has become one of the Taiwanese government's major concerns. The industry innovation requirements (IIRs) are summarized using the Delphi method. Meanwhile, the major IIRs identified by Decision Making Trial and Evaluation Laboratory (DEMATEL) are introduced. After the IIRs are derived, the relationships between the IIRs and innovation policy tools are derived by Grey relational analysis (GRA). Then, the innovation policy tools are clustered, based upon the Grey grades derived by GRA. Finally, reconfigured innovation policy portfolios are presented for the Taiwanese government's policy definition. The results demonstrate that developing an innovative policy portfolio that includes scientific, technical, educational, public enterprise, information, legal and regulatory, financial, and taxation policy tools will be the most necessary step towards developing Taiwan's SIP Mall industry.     

关中地区城市化水平地域差异及影响因素分析

将陕西省关中地区近25年的城市化进程分为三个阶段,从人口、社会经济、地理环境等角度构建评价指标体系,在不同的阶段利用灰色关联方法分析影响关中地区城市化水平地域差异的主要因素,并根据贡献度进行排序,找到了在近25年中影响关中地区城市化水平地域差异的重要因素.     

A grey decision and prediction model for investment in the core competitiveness of product development

Because enterprises do not disclose their internal specific cost information to the public and, moreover, every firm has its own product character and financial constitutions, it is difficult to offer fixed guidelines for investment decisions. Thus, an enterprise may be uncertain when required to choose the most promising set of possible investments.The goal of this research is to use a grey relation analysis and analytic hierarchy process (AHP) to probe the core product development and competitiveness of an enterprise from limited data and, furthermore, by constructing the grey model, GM(1,1), to validate the feasibility of this assessment of the core competitiveness and investment strategy. In this study, a precision mechanical manufacturer is taken as an example, and the forecast estimate from this method is compared to those of a linear regression and the actual values to demonstrate the feasibility of applying this methodology to investment decision making, hence, demonstrating the value of this research.     

A study of zoning for energy security in China

As a result of more and more serious energy risks, the study of national energy security zoning is not only the basic requirement of energy risk management but also the new demand of economic development for the energy industry. Firstly, this paper analyzes the basic situation of energy resources and production and consumption of primary. energy from 1996 to 2005 in China. Secondly; this paper founds an Energy Security Index System formed by six indices including the percentage of energy reserves, interlocal dependent degree, energy elasticity coefficient and so on. It subsequently calculates the weight of these indices with the factor analysis rating method Lastly, the paper evaluates and zones the abilities of energy security of 30 provinces in China with the grey chuster method According to their security; the 30 provinces are classified into three different levels： high, medium, and low levels. The regions at low energy security level include Beijing, Shanghai, Zhejiang, Fujian, Guangdong, Guangxi and Hainan. They are mainly littoral and short of primary energy production while mostly dependent on other provinces. Those at medium energy security level include 15 provinces （cities or districts）, such as Liaoning, Tianjin, Hebei, Shandong, Henan, Hunan and so on. These provinces are in the northeast, north, east of and central China. Those at high energy security level contain Shanxi. lnner Mongolia, Heilongjiang, Jilin, Chongqing, Sichuan, Shaanxi. Xinjiang. These provinces are the main primary energy production bases.     

基于灰色预测模型的铁路客运量预测研究

在介绍灰色预测基本原理和算法的基础上,应用灰色预测理论开发了基于MATLAB的铁路客运量预测程序,主要功能是以交互的方式输入数据,动态输出显示模型曲线图形和方程。通过建立株洲站旅客发送量的灰色预测模型,说明利用灰色模型预测铁路客运量具有良好的精度,可以为客流组织提供依据。     

The Marshallian macroeconomic model: A progress report

In this progress report, we first indicate the origins and early development of the Marshallian macroeconomic model (MMM) and briefly review some of our past empirical forecasting experiments with the model. Then we present recently developed one-sector, two-sector and n-sector models of an economy that can be employed to explain past experience, predict future outcomes and analyze policy problems. The results of simulation experiments with various versions of the model are provided to illustrate some of its dynamic properties that include “chaotic” features. Last, we present comments on planned future work with the model.     

Combining information for prediction in linear regression

This article deals with the prediction problem in linear regression where the measurements are obtained using k different devices or collected from k different independent sources. For the case of k=2, a Graybill-Deal type combined estimtor for the regression parameters is shown to dominate the individual least squares estimators under the covariance criterion. Two predictors ŷ _c and ŷ _p are proposed. ŷ _c is based on a combined estimator of the regression coefficient vector, and ŷ _p is obtained by combining the individual predictors from different models. Prediction mean square errors of both predictors are derived. It is shown that the predictor ŷ _p is better than the individual predictors for k≥2 and the predictor ŷ _c is better than the individual predictors for k=2. Numerical comparison between ŷ _c and ŷ _p shows that the former is superior to the latter for the case k=2.