对外贸易与中国制造业发展：基于可计算一般均衡（CGE）模型的模拟分析

运用CGE模型模拟分析了对外贸易对我国制造业主要行业的产出、收益及投资水平的作用效果。分析结果显示,制造业产出、收益和投资变化率与对外贸易变化率呈正相关;除了金属行业的收益增长率在贸易小幅增长时,其行业的收益率高于贸易的增长率以外,其余行业的贸易的增长率均大于各行业收益增长率,低于投资增长率;而贸易的小幅增长对于纺织业、金属行业、炼焦、煤气和石油加工业的收益水平的提升更有利;贸易的高度增长对于具有增长潜力的机械行业更有利;对于食品制造业、化学行业、非金属矿物制品业来讲贸易的适度增长对行业发展更有利。由此提出在大力发展制造业贸易的同时,要针对各行业对贸易的不同敏感程度,合理的调整产业政策,发挥技术创新能力,以此提升制造业的贸易利得。     

REAL AND DISTRIBUTIVE EFFECTS OF PETROLEUM PRICE LIBERALIZATION: THE CASE OF INDONESIA

The effect of higher petroleum prices on the aggregate price level, real growth, and income distribution is appraised within a multisector computable general equilibrium (CGE) model. A reduction in the government subsidy raises petroleum prices and production costs throughout the economy. Consumer demand, production, and income decline as output prices increase and consumer purchasing power decreases. The model is applied to and calibrated for Indonesia. The simulated results predict a slight increase in the price level and a slight decrease in output. An important result is that urban household groups will be the most significantly affected by the subsidy reduction.     

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。     

基于可计算的一般均衡模型的我国碳税政策“双重红利”研究

建立了分析我国减少二氧化碳排放而征收碳税的可计算的一般均衡模型,分析碳税政策的双重红利。结果显示:为减少二氧化碳排放而征收碳税,对社会经济变量将造成一定的负面影响。保持财政中性,在征收碳税的时候,减少居民或者企业间接税,都可以在减少二氧化碳排放量的同时提高社会福利或者保持社会福利变化不大,实现碳税的双重红利。但是在保持财政中性,在征收碳税的同时减少企业所得税,虽然减少了二氧化碳排放量,居民的社会福利却有了更大程度的下降。     

Making unilateral trade liberalisation beneficial to the poor

In this paper, we investigate the impacts of unilateral import liberalisation by a representative South Asian developing economy, Nepal, and demonstrate those conditions required to make the impacts ‘pro-poor.’ Applying the Computable General Equilibrium model to Social Accounting Matrix data, we conclude that import liberalisation is growth-enhancing but that, unfortunately, the rich benefit more than do the poor. We envisage a restructured but plausible model economy that requires a transformational period of ten years, and simulate unilateral trade liberalisation but, in the context of a dynamic model. We conclude that improvement in efficiency parameters, reorganisation of investment patterns, along with reallocation of factors of production by both household group and activity type are required to make growth accrued by import liberalisation ‘pro-poor’ in developing economies such as that of Nepal.     

世界连接CGE模型方法、研制与应用

随着世界经济一体化和空间经济学的日益发展,系统模型方法在国家或区域间经济联动方面的扩展和深化研究正在显现出巨大的应用价值。本文首先开发一个世界连接可计算一般均衡模型,科学揭示各经济体的运行特征,为定量剖析世界范围内各经济体的经济增长、结构变动方面提供一个系统分析框架：一方面在模型的理论框架中,分析了世界CGE模型各个模块的构建思想和对应的主要方程及其特征;另一方面建立了世界连接社会核算矩阵。然后通过动态模拟分析,检验链接模式和国家间经济联系,以及应用于各经济体政策变化的综合影响评价。     

An Application of an Integrated Transport Network– Multiregional CGE Model: a Framework for the Economic Analysis of Highway Projects

This paper develops a framework for the economic analysis of highway projects that is then used to estimate the dynamic economic effects of a highway project on the economic growth and the regional disparity in Korea. The framework is composed of a transport model and a multiregional Computable General Equilibrium (CGE) model. The transport model measures a change in interregional shortest distances and the accessibility due to the highway project. The CGE model estimates the spatial economic effects of the project on GDP, the price, exports, and the regional distribution of wages and population. The simulation allows policy makers to determine which highway development deserves the priority for investment, based on consideration of economic growth and regional economic equity in the long run. The simulation found that all the highway projects have positive effects on GDP and export growth as well as regional equity in terms of wage and population.     

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。     

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.     

CGE assumptions under scrutiny: uncertainty in the ethanol promotion policy in Mexico

Based on a CGE exercise of a subsidy to initiate ethanol production in Mexico, we use Monte Carlo simulations for consumer demand elasticities and ethanol cost estimates. The analysis provides three conclusions: when markets vary smoothly and predictably, Monte Carlo methods can then help to gauge the actual probability that a given program will achieve a desired outcome. Second, secondary markets may display little or no sensitivity to these parameter variations. Finally, a ‘razor’s edge’ outcome with no positive benefits if a critical parameter falls below some critical value, reveals that an economic policy may not be conducive to ‘fine tuning’ by marginal adjustments.