碳税循环政策对中国农村能源结构调整的作用——基于CGE模型的政策讨论

本文立足中国二元经济体系影响依然存在的社会现实，构建了基于CHAYANOV农民模型假设基础之上的CGE模型。并从二氧化碳减排、缓解常规能源供给压力的能源可持续发展角度出发，提出在常规能源部门收入碳税补贴现代生物质能发展的政策建议。文中重点分析了碳税循环政策实施后城乡两部门的社会经济综合变化，对碳税实施的假设给予充分肯定。     

Some Cracks in the Empire of Chance (Flaws in the Foundations of Reliability)

Making quantified statements about the uncertainty associated with the lifelength of an item is one of the most fundamental tasks of reliability assessment. Most practitioners routinely do this using one of the several available statistical techniques. The purpose of this paper is two-fold. The first is to give the user an overview of the key tenets of two of the most commonly used parametric approaches. The second is to point out that these commonly used approaches involve strategies that are either ad hoc, or are in violation of some of the underlying tenets. A method that is devoid of logical flaws can be proposed, but this method is difficult to implement. The user must therefore resign to using that technique against which the fewest objections can be hurled.     

A dynamic approach to the analysis of strategic alliances

The increasing trend in strategic alliance formation between major firms around the world, has prompted researchers from various disciplines to look at this phenomenon in great detail. In this paper, we review alternate approaches in the literature in this area. We then propose a non-linear dynamic approach to study the formation of competitive strategic alliances and contrast it with the traditional game-theoretic approach. The pros and cons of these two approaches are discussed with reference to a competitive alliance scenario. Dynamic models have significant managerial implications as they enable us to investigate ‘if-then’ type scenarios and project the impact of different strategies.     

APEC贸易自由化效果的实证分析

1994年，亚太经济合作组织（以下简称APEC）确立了发达国家于2010年，发展中国家于2020年实现贸易和投资自由化的目标。贸易自由化目标的实现必将对亚太，乃至整个世界产生重要影响。利用可计算一般均衡模型（CGE）对APEC贸易自由化效果进行了模拟分析，结论是几乎所有APEC成员都能从中获益。根据模拟结果，中国作为其中一员，成为从贸易自由化的实现中获益较多的国家。     

A New Approach to Random Utility Modeling using the Dirichlet Multinomial Distribution

In this paper we introduce a new econometricapproach to analyzing recreational site choicedata, the Dirichlet multinomial model. Thismodel, which nests the standard conditionalmultinomial logit model, can accommodateover-dispersed data and may provide moreefficient estimators of coefficients andconsequent welfare measures than the standardconditional logit model, which is so widelyused in the Random Utility Model approach torecreation demand. We illustrate thisDirichlet approach using a data set of rockclimbers in Scotland, and study the impacts onper-trip consumers surplus of alternativemanagement strategies for popular rock climbingsites. Results show that the Dirichletmultinomial approach produces coefficient andwelfare estimates having smaller samplingvariability in this case. We also compareclassical welfare measures with their posteriorequivalents, which allow for welfare changes tobe dis-aggregated.     

价值管理研究综述

随着价值最大化上升为公司整体的管理思想,价值管理作为一种以创造价值、实现价值增长为目标的新型管理理念和管理模式,也越来越受到理论界与实务界的关注。本文试图在价值管理理论研究与实践现状分析的基础上,对价值管理的产生和发展、价值管理的定义和特征,以及国内外几种不同的公司价值管理模式等进行系统地概括与总结。     

Export Composition and Manufacturing Employment in the US during the Economic Downturn of 1991-92

This paper examines the effect that export composition had upon manufacturing employment in the US during the 1991 recession. Although it takes, on average, approximately $66 000 in exports to create one job, the exact gains in terms of total employment depend upon the labour-intensity of the products being exported. Foreign sales by the chemical and textile industries result in a far greater increase in employment than exports by the petroleum refining or steel industries. This analysis estimates the employment effects of manufacturing exports over the 1989-95 period, utilizing an input-output model to capture both direct and indirect effects. The results demonstrate that export composition has, at times, both strengthened and reduced demand for labour. Consequently, if job-creation is a national goal, it may be in the interests of the US to promote exports from sectors that are labour-using.     

Thermodynamics and process analysis for future economic scenarios

Economists are increasingly interested in forecasting future costs and benefits of policies for dealing with materials/energy fluxes, polluting emissions and environmental impacts on various scales, from sectoral to global. Computable general equilibrium (CGE) models are currently popular because they project demand and industrial structure into the future, along an equilibrium path. But they are applicable only to the extent that structural changes occur in or near equilibrium, independent of radical technological (or social) change. The alternative tool for analyzing economic implications of scenario assumptions is to use Leontief-type Input-Output (I-O) models. I-O models are unable to endogenize structural shifts (changing I-O coefficients). However, this can be a virtue when considering radical rather than incremental shifts. Postulated I-O tables can be used independently to check the internal consistency of scenarios. Or I-O models can be used to generate scenarios by linking them to econometric macro-drivers (which can, in principle, be CGE models). Explicit process analysis can be integrated, in principle, with I-O models. This hybrid scheme provides a natural means of satisfying physical constraints, especially the first and second laws of thermodynamics. This is important, to avoid constructing scenarios based on physically impossible processes. Process analysis is really the only available tool for constructing physically plausible alternative future I-O tables, and generating materials/energy and waste emissions coefficients. Explicit process analysis also helps avoid several problems characteristic of pure CGE or I-O models, viz. (1) aggregation errors (2) inability to handle arbitrary combinations of co-product and co-input relationships and (3) inability to reflect certain non-linearities such as internal feedback loops.     

Combining biodiversity modeling with political and economic development scenarios for 25 EU countries

In the EURURALIS project, a chain of models was used to predict the changes in sustainable development indicators for European human well-being, ecology and economy issues, for four alternative scenarios of the future socio-economic development. This paper describes the biodiversity analysis of the project. Models based on general relationships between environmental factors and biodiversity loss were combined with socio-economic, land-use and environmental models to derive data that were integrated into an interactive tool for policy makers. The biodiversity analysis takes into account the effects of land-use change, climate change, fragmentation by major roads, area of unfragmented patches, nitrogen deposition, forestry and disturbance. Results show that biodiversity is projected to decrease between now and 2030 in most countries for all scenarios, indicating that it is unlikely that the EU will be able to fulfill its commitment to stop biodiversity loss by 2010. This is mainly due to urbanization and increase in stress factors, and outweighs the area increase of nature arising from land abandonment. Merits, limitations and uncertainties of this approach to biodiversity assessment are discussed.     

计量经济学应用研究的总体回归模型设定

本文从计量经济学应用研究中总体回归模型设定的任务和目标出发,通过对总体模型设定的研究目的导向、经济学理论导向、数据关系导向的分析与评价,提出总体模型设定的唯一性、一般性、现实性和统计检验必要性原则;最后,提出总体回归模型设定的"经济主体动力学关系导向"原则和框架。