Computable general equilibrium

The computable general equilibrium model is also a type of economic impact measurement tool. It consists of equations describing model variables and a database consistent with the model equations and used to estimate the net macroeconomic and industry effects and for tourism policy analysis (Dwyer, 2015). Comparative static and dynamic are two broad categories of computable general equilibrium models. Blake (2009) states that a comparative static

that relate the climate to the sector. The models that characterise this approach use statistical or programming methods to analyse changes in spatial production standards; the models used include Ricardian, (Mendelsohn et al., 1994), Computable General Equilibrium (CGE) models and Geographic Information System models. In this way, spatial approach models identify production standards using a statistical technique. One hypothesis states that producers are willing and able to adopt new crop systems

the Americas: Are Regionalism and Globalization Compatible?” was published in 2003. The purpose of this economic case study was to demonstrate the positive and negative effects of regional and global trade liberalization using a global computable general equilibrium (CGE) model. Given the relative vastness of content that must be covered in anything to do with global economy, the authors try to critically analyze each country and its outcomes in different trade scenarios. The authors focus on the

however, on the determinants of costs and benefits as well as the methodology. On the other hand, Wolf (2006) and Ahrens (2003) look into different scenarios concerning Korean reunification process. Finally, Liu and Noland (1998) construct a Computable General Equilibrium (CGE) model to describe the result of Korean reunification. As noted, some of the existing work refers to previous cases of reunification to analyze cost and benefit of Korean reunification. In particular, German unification is often

The introduction of the carbon tax in Australia. Recently, the carbon tax issue has been gaining increasing attention in Australia due to its function of reducing greenhouse gas as well as its extensive economic impacts on a range of industries, such as tourism and hospitality. The conceptual meaning of the carbon tax is “a levy applied to various operations that generate carbon dioxide” (Covey, 2009, p.329). Such a tax is introduced to achieve a desired national emission target (Covey, 2009)

Canadian sectors (policy 1). Secondly, to investigate the economic effect if there is a free trade agreement between EU and NAFTA (Policy 2). There are various techniques that could be utilized to carry out this analysis. In this paper we use Computable General Equilibrium (CGE) model and used Global

economics, RTAs (Regional Trading Agreements) are the agreements in which members give each another privileged treatment with respect to the extent by which the trade barriers have been established. On the other side, Global Trade liberalization is a general term referring to the depletion of trade boundaries globally to ensure free trade among all state. Ideally, Free trade agreements are sometimes more formal than the Global Trade liberalization policies. It is deemed that Regional Trade Agreements

This chapter deals with the case study of the target organization with a lot of history and reputation spanning three decades. As a player in the not-for-profit-organisation (NFPO) ecosystem, XXXY has made a reputation in the field of original economic research in all-encompassing policy oriented research undertakings. It was a trail-blazing undertaking to conduct the business of informing both the government, the public as well as the industry or loosely, the private sector, prognoses on current

General Energy Modelling Energy system analysis has a wide scope and is well-suited as a component of an integrated energy modelling approach. It is interdisciplinary, with its main contributions coming from economics and engineering. Insights from other social sciences (e.g. political science, sociology and policy analysis) and natural sciences (e.g. atmospheric chemistry and environmental studies) are incorporated when and where is needed. The model can be focused on energy system as a whole (economy-wide)

The Ricardian approach also allows for comparisons between the potential effects in developed and developing economies. For example, Mendelsohn et al, sensitivity to climate change in the United States and India. The results were that India’s Ricardian function was much more likely to suffer negative effects from global warming than that of the United States. They found that the level of development has a significant effect on sensitivity to climate change. Under the same analytical frameworks, Mendelsohn