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The purpose of this paper is to establish a model to analyze the impacts of economic policy on the demand for electricity in China, including the impacts of fiscal and monetary policies.

With the development of electric reform, the impacts of economic policy on demand for electricity will be more and more obvious. It is difficult to analyze the impacts by a conventional model. CGE model is based on the theory of general equilibrium which is put forward by Walras, it describes the supplying and demanding relationship between the sectors of the economic system, a CGE model can recognize that an exogenous change (in policy or from other source) that affects any one part of the economy can produce repercussions throughout the system, it can also analyze the impacts of economic policy on electric power sector.

A CGE model and a social accounting matrix are established.

Accessibility and availability of data are the main limitations which model will be applied.

A very useful model to study the impacts of economic policy on electric power sector.

The new method to analyze the impacts of economic policy on electric power sector in China. The paper aims at policy makers and the researchers who deal with electric power demand and supply.

The purpose of this paper is to demonstrate the value of computable general equilibrium (CGE) modeling for impact analysis of real estate developments and redevelopments.

Uses a model constructed for Colorado to compare estimates of economic impact of a hypothetical mixed-use development from a CGE model with an input-output (IO) model similar to those commonly used in applied economic impact analysis.

Economic impact estimates of construction activity are demonstrated to be lower when using a CGE approach as compared to an IO approach while impact estimates of continuing operations of a property are demonstrated to be more accurate and potentially higher using a CGE approach.

A CGE approach as opposed to an IO approach will be particularly useful for practitioners in particular cases where IO models are ill suited to provide meaningful estimates concerning impact of continuing operations. This is especially likely where commercial tenants are unknown or when the development includes a residential component.

More complete and accurate assessments of economic impact may positively affect views on property development and redevelopment by the public and government.

This paper adds to the existing literature concerning economic impact analysis of real estate and is the first paper in the field, to the authors’ knowledge; to compare estimates from the standard IO approach to those derived using more sophisticated modeling techniques.

Evaluating the economic effects of climate change is a pivotal step for planning adaptation in developing countries. For Bangladesh, global warming has put it among the most vulnerable countries in the world to climate change, with increasing temperatures and sea-level rise. Hence, the purpose of this paper is to examine how climate change impacts the economy in Bangladesh in the case of climate scenarios.

Using a dynamic computable general equilibrium (CGE) model and three climate change scenarios, this paper assesses the economy-wide implications of climate change on Bangladesh’s economy and agriculture. It is clear from the examination of the CGE model that the impacts of climate change on agricultural sectors were felt more sharply, reducing output by −3.25% and −3.70%, respectively, and increasing imports by 1.22% and 1.53% in 2030 and 2050, compared to the baseline.

The findings reveal that, relative to baseline, agricultural output will decline by a range of −3.1% to −3.6% under the high climate scenario (higher temperatures and lower yields). A decrease in agricultural output results in declines in agricultural labor and household income. Household income falls in all categories, although it drops the most in urban less educated households with a range of −3.1% to −3.4%. On the other hand, consumption of commodities will fall by −0.11% to −0.13%, according to the findings. Although climate change impacts had a relatively small effect on gross domestic product, reducing it by −0.059% and −0.098% in 2030 and 2050, respectively.

As agricultural output, household consumption and income decline, it will impact the majority of the population’s health in Bangladesh by increasing malnutrition, hidden hunger, poverty, changing food environment, changing physical and mental health status and a changing health-care environment. Therefore, population health and food security will be a top socioeconomic and political concern for Bangladesh Government.

The examination of the dynamic CGE model is its originality. In conclusion, the evidence generated here can provide important information to policymakers and guide government policies that contribute to national development and the achievement of food security targets. It is also necessary to put more emphasis on climate change issues and address potential risks in the following years.

The purpose of this paper is to quantify the impact of social or government transfers on income inequality and poverty in South Africa.

A top-down, bottom-up (TD-BU) model which combines an econometrically estimated labor supply model, a detailed tax-benefit module and a computable general equilibrium model is used in order to analyze the impact of government transfers on income inequality and poverty in South Africa. The paper uses a merged South African income and expenditure household survey and labor force survey for the year 2000, and a South African social accounting matrix as the main data sets.

Simulation results suggest that doubling of government transfers lead to a 5.5 percent reduction in poverty if a relative poverty measure is used and a 7 percent reduction if an absolute poverty line is used. In addition, simulation results show differences in poverty and inequality measures between the MS-only model and the linked TD-BU model confirming the importance of linking the two models.

The TD-BU approach is important since it explicitly accounts for the following aspects: that labor supply should adjust to changes in the tax-benefit model, general equilibrium effects and the heterogeneity of economic agents. This allows for a richer micro-household modeling.

Computable general equilibrium, or CGE, is a well-established numerical simulation technique for evaluating the economy-wide effects of changes in an economic system. It has become very widely used throughout the economics discipline, but is perhaps employed most frequently in the analysis of changes in international trade policy, where changes in tariffs and other taxes are often large and almost always involve multiple sectors and/or regions simultaneously. CGE methods, while certainly not without their limitations, have proved very effective at tracking the myriad of feedback and flow-through effects associated with new regional trading agreements and multilateral trade reforms, and have provided a consistent mechanism of analyzing the effects of changes in trade policy and related areas on a diverse range of economic outcomes.

This study aims to identify the current state of the art and the gaps in the application of computable general equilibrium (CGE) models on studying climate change adaptation.

A systematic review is conducted to select, classify and analyze relevant studies from two databases of Web of Science and Scopus.

Totally, 170 articles based on selected keywords were found from both databases, where 56 articles were duplicates. The authors further excluded 17 articles owing to preliminary exclusion criteria. Hence, 97 papers were selected for full-text review and more detailed assessment. Only a few of the studies explicitly have addressed the role of autonomous adaptation embodied in the CGE models. Over one-third of the studies have focused on planned adaptation without explicitly mentioning autonomous adaptation. Agriculture was the most addressed sector, and country-level models are the most adopted. Only one article has focused on South America.

The review suggests that autonomous adaptation embodied in CGE models was not well addressed in the literature. As the limited studies have shown that autonomous adaptation can dramatically mitigate direct climate change impacts, further studies are needed to examine the importance of the autonomous adaptation for better understanding of climate change impacts. Furthermore, CGE models can provide a joint assessment considering both mitigation and adaptation strategies and management measures as such models have also been widely used to address effects of mitigation measures in the literature.

The studies on climate change adaptation based on CGE models have been systematically reviewed, and state-of-the-art knowledge and research gaps have been identified.

Most current modeling approaches identify very small gains from trade reform. In this chapter, we examine recent developments in the literature to assess whether standard modeling approaches are mis-specifying, understating, or overstating the gains from trade reform. Key areas where the impacts of trade barrier reduction appear to be understated include the measurement of barriers; the aggregation of these barriers; process productivity gains, particularly those resulting from reallocation of resources between firms; product quality improvements and expansion of product variety; factor supply; and investment of gains from trade.

Three difficulties confront researchers in the resilience arena. At the conceptual level, there is the need to identify resilient actions, including those that may seem to violate established norms, such as rational behavior. At the operational level, it may be difficult to model individual, group, and community behavior in a single framework. At the empirical level, it is especially difficult to gather data on resilience to specify models. The purpose of this paper is to summarize progress on all three planes. First, defines several important dimensions of economic resilience to disasters. Second, shows how computable general equilibrium modeling represents a useful framework for analyzing the behavior of individuals, businesses, and markets. Third, summarizes recent progress in the conceptual and empirical modeling of resilience, including the incorporation of disequilibria and the recalibration of key behavioral parameters on the basis of empirical data. Fourth, uses the results of a case study to illustrate some important issues relating to the subject.