产业集群竞争力分析——以辽宁汽车产业集群为例

运用一种研究产业集群竞争力的量化分析工具——GEM模型,构建了辽宁汽车产业集群竞争力评价表,对该集群的各要素进行了竞争力的综合分析。分析结果表明:辽宁汽车产业集群在全国范围内已经有一定的竞争力,但在设施、企业结构、战略和竞争方面得分都低于全国平均水平,已成为制约其进一步发展的瓶颈因素,因而从"基础","企业","市场"方面给出了提升辽宁汽车产业集群竞争力对策建议。     

基于适应性商务智能的虚拟企业合作伙伴选择模型

合作伙伴选择是虚拟企业运行中至关重要的问题。迅速而准确地找到合适的合作伙伴并实现协调运作，直接影响到虚拟企业合作绩效和整体目标的实现。文章将环境感知和适应性商务智能理论引入虚拟企业合作伙伴选择中，提出了基于适应性商务智能的虚拟企业合作伙伴选择模型，设计了模型的基本架构，分析了模型的构成模块，探讨了模型的应用机理。     

峰荷需求、资本配置效率与中国网络型基础产业投融资机制改革——对阿弗奇-约翰逊模型的一个扩展

阿弗奇—约翰逊模型(A—J模型)表明规制对象具有过度使用资本倾向,相应的实证检验中同时存在肯定和否定的结果,但基本的A—J模型、已有扩展和实证检验都忽略了受规制行业的峰荷需求特征。本文从基本的A—J模型出发,假定生产要素单位使用成本与规制机构所认可的单位核算成本不同,考察了峰荷需求特征下受规制网络型基础产业的投资行为,提供了资本配置效率的衡量标准。本文的基本结论在于,峰荷需求条件下受规制企业不一定投资过多,这也解释了为何A—J效应的实证检验存在相互矛盾的结果。     

Make One——基于软件功能构件的通用电子设备模式研究

首先，指出并分析了基于传统的系统体系结构模式而设计的信息设备与其应用功能之间存在整体堆积性和时空不变性的优缺点；然后，根据先进的信息产品应用功能软件化、构件化的思想，提出一种新的设备与应用功能可互相分离、应用功能构件可重载的Make One设备模式，讨论了Make One模式设备的功能结构特点；进而，给出了一个Make One设备模型的嵌入式容器－构件实现方案；最后，探讨了在互联网环境下Make One模式的应用服务体系。     

China＇s Regional Disparity and Its Policy Responses

The fruits of China＇s rapid economic development over the 3 decades have not been distributed fairly across different regions. Using data from a sample of 815 Chinese listed firrns during 1998-2004, our error-correction investment model showes evidence of different financial constraints on firms＇ investment in different regions. We argue that China＇s regional development policies have contributed greatly to the regional inequalities. To control the rising inequality, China has shifted its focus from the coast to the interior regions. However, it is becoming increasingly difficult for the government to direct the economy, as market mechanisms now have afar greater influence on the economy than the government does. The people-centered approach of the current leadership has meant that substantial attention has been placed on regional development disparities in an attempt to build a ＂harmonious society. ＂ China needs further extensive reforms if all the measures for reducing regional disparity are to be effective.     

Multiple generation product life cycle predictions using a novel two-stage fuzzy piecewise regression analysis method

Product life cycle (PLC) prediction plays a crucial role in strategic planning and policy definition for high-technology products. Forecast methodologies which can predict PLCs accurately can help to achieve successful strategic decision-making, forecasting, and foresight activities in high-technology firms, research institutes, governments, and universities. Over the past few decades, even though analytic framework strategies have been proposed for production, marketing, R&D (research and development), and finance, aiming at each stage of PLCs, forecast methodologies with which to predict PLCs are few. The purpose of this research is to develop a novel forecast methodology to allow for predictions of product life time (PLT) and the annual shipment of products during the entire PLC of multiple generation products. A novel two-stage fuzzy piecewise regression analysis method is proposed in this paper. In the first stage, the product life-time of the specific generation to be analyzed will be predicted by the fuzzy piecewise regression line that is derived based upon the product life-time of earlier generations. In the second stage of the forecast methodology, the annual shipment of products of the specified generation will be predicted by deriving annual fuzzy regression lines for each generation, based upon the historical data on the earlier generations' products. An empirical study predicting the life-time and the annual shipment of the 16 Mb (Mega bit) DRAM (Dynamic Random Access Memory) PLC is illustrated to validate the analytical process. The results demonstrate that two-stage fuzzy piecewise regression analysis can predict multiple generation PLT and PLC precisely, thereby serving as a foundation for future strategic planning, policy definitions and foresights.     

Climate change, irrigation, and Israeli agriculture: Will warming be harmful?

This paper utilizes a Ricardian model to test the relationship between annual net revenues and climate across Israeli farms. The study finds that it is important to include the amount of irrigation water available to each farm in order to measure the response of farms to climate. With irrigation water omitted, the model predicts climate change is strictly beneficial. However, with water included, the model predicts that only modest climate changes are beneficial while drastic climate change in the long run will be harmful. Using the AOGCM Scenarios we show that farm net revenue is expected to increase. Although Israel has a relatively warm climate a mild increase in temperature is beneficial due to the ability to supply international markets with farm product early in the season.     

Domestic Support and Border Measures for Processed Horticultural Products

In horticultural markets, trade barriers often apply to the processed products whereas domestic support applies to farm-produced raw commodities. Here we assess the effects of such trade barriers and domestic support by simulating the effects of policy reform on global processing tomato markets, which are faced with modest processed product tariffs and high domestic support in the European Union (EU). Both protection and EU subsidy drive down world welfare, but we find that reducing import tariffs for tomato products would yield greater effects on markets and larger welfare impacts outside Europe than would reductions in EU domestic support.     

Research on principal-agency of stockholders and managers under asymmetric information condition

In modem enterprises, a separation of the right of ownership and management results in asymmetric information problems between stockholders and managers. In conditions of principal-agency relationship, the game behaviors between principle and agency within enterprises are impacted by asymmetric information. This study discusses the game behaviors between stockholders and managers by using information economic theories from the perspective of asymmetric information. Based on the model of the principal-agency relationship between stockholders and managers, our research uses quantitative analysis to reveal how to achieve maximum profit expected of stockholders through an incomplete contract, under asymmetric information condition.     

蒙代尔-弗莱明模型在发展中大国的适用与延伸

M-F模型是开放经济宏观经济学的基本模型,其存在的缺陷和局限是理论拓展的主要方向。本文对M-F模型的前提假定和分析过程作出了放松和修正,使其适用于发展中大国的情形。并在M-F模型的货币政策效应分析基础上,提出M-F模型在发展中大国的延伸分析方法,即Semi-M-F模型分析方法,指出发展中大国的货币政策是部分起作用的。最后,对Semi-M-F模型分析方法在中国的应用进行评述。