8 resultados para Gipps Car Following Model

em Comissão Econômica para a América Latina e o Caribe (CEPAL)


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The Caribbean region remains highly vulnerable to the impacts of climate change. In order to assess the social and economic consequences of climate change for the region, the Economic Commission for Latin America and the Caribbean( ECLAC) has developed a model for this purpose. The model is referred to as the Climate Impact Assessment Model (ECLAC-CIAM) and is a tool that can simultaneously assess multiple sectoral climate impacts specific to the Caribbean as a whole and for individual countries. To achieve this goal, an Integrated Assessment Model (IAM) with a Computable General Equilibrium Core was developed comprising of three modules to be executed sequentially. The first of these modules defines the type and magnitude of economic shocks on the basis of a climate change scenario, the second module is a global Computable General Equilibrium model with a special regional and industrial classification and the third module processes the output of the CGE model to get more disaggregated results. The model has the potential to produce several economic estimates but the current default results include percentage change in real national income for individual Caribbean states which provides a simple measure of welfare impacts. With some modifications, the model can also be used to consider the effects of single sectoral shocks such as (Land, Labour, Capital and Tourism) on the percentage change in real national income. Ultimately, the model is envisioned as an evolving tool for assessing the impact of climate change in the Caribbean and as a guide to policy responses with respect to adaptation strategies.

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In the 1980s Butler adapted the life cycle product model to the tourism industry and created the “Tourism Area Life Cycle (TALC) model”. The model recognizes six stages in the tourism product life cycle: exploration, investment, development, consolidation, stagnation and followed, after stagnation, by decline or revitalization of the product. These six stages can in turn be regrouped into four main stages. The Butler model has been applied to more than 30 country cases with a wide degree of success. De Albuquerque and Mc Elroy (1992) applied the TALC model to 23 small Caribbean island States in the 1990s. Following De Albuquerque and Mc Elroy, the TALC is applied to the 32 member countries of the Caribbean Tourism Organization (CTO) (except for Cancun and Cozumel) to locate their positions along their tourism life-cycle in 2007. This is done using the following indicators: the evolution of the level, market share and growth rate of stay-over arrivals; the growth rate and market share of visitor expenditures per arrival and the tourism styles of the destinations, differentiating between ongoing mass tourism and niche marketing strategies and among upscale, mid-scale and low-scale destinations. Countries have pursued three broad classes of strategies over the last 15 years in order to move upward in their tourism life cycle and enhance their tourism competitiveness. There is first a strategy that continues to rely on mass-tourism to build on the comparative advantages of “sun, sand and sea”, scale economies, all-inclusive packages and large amounts of investment to move along in Stage 2 or Stage 3 (Cuba, Dominican Republic, Puerto Rico). There is a second strategy pursued mainly by very small islands that relies on developing specific niche markets to maintain tourism competitiveness through upgrading (Anguilla, Antigua and Barbuda, British Virgin Islands and Turks and Caicos), allowing them to move from Stage 2 to Stage 3 or Stage 3 to a rejuvenation stage. There is a third strategy that uses a mix of mass-tourism, niche marketing and quality upgrading either to emerge onto the intermediate stage (Trinidad and Tobago); avoid decline (Aruba, The Bahamas) or rejuvenate (Barbados, Jamaica and the United States Virgin Islands). There have been many success stories in Caribbean tourism competitiveness and further research should aim at empirically testing the determinants of tourism competitiveness for the region as a whole.