The Dynamics of Tourism's Economic Impact

2009 ◽  
Vol 15 (3) ◽  
pp. 615-628 ◽  
Author(s):  
Adam Blake

When considering the economic impact of tourism, it is common to model tourism expenditures in a static model, providing the impact that tourism spending would have if its effects were contained in a single year. This confuses two features; first, that any change in tourism spending has a time dimension and, second, it ignores changes that may occur in years after the change in spending has taken place, or that occur prior to it if the spending is anticipated. This paper uses a dynamic CGE model to examine these effects, providing comparisons between anticipated and unanticipated tourism booms.

2018 ◽  
Vol 11 (2) ◽  
pp. 140 ◽  
Author(s):  
Claudio Socci ◽  
Francesca Severini ◽  
Rosita Pretaroli ◽  
Irfan Ahmed ◽  
Clio Ciaschini

2021 ◽  
Vol 43 ◽  
pp. 26-55
Author(s):  
Jean Luc Erero ◽  
◽  
◽  

Aim/purpose–This study sought to assess the impact of an increased historical fixed VAT rate of 14% to the current rate of 15% on the South African economy. Design/methodology/approach–The method applied in this study was based on a Dynamic Computable General Equilibrium (CGE) model to evaluate the impact of both the VAT rate of 14% and a new rate of 15% on the South African economy. The CGE model has been proven over the years to be a suitable model when evaluating the impact assessment of any shock within an economy. Enhancements were made by the researcher to the direct and indirect tax section of the model, i.e., the direct tax section was disaggregated, such that for both firm and household revenues, a dividend income stream is separated from other income streams. The main reason is to facilitate a detailed analysis of Corporate Income Tax (CIT) and Personal Income Tax (PIT), as well as the latest implemented Dividend Tax (DT).Findings–When VAT was increased from 14% to 15%, the immediate reaction of the shock from the Dynamic CGE model indicates that the Gross Domestic Product (GDP) declined by 0.0002% in 2018, but increased by 0.0028% in the following year (2019). The trend continued until 2021, hence the 1% increase in the VAT tax rate will increase the expected forecast of VAT collection by approximately R3.2 billion on average. Research implications/limitations–The findings of this study will be implemented by the South African government, which will use a dynamic CGE model to assess South Africa’s VAT contribution to the economy. The database of the CGE model was limited to the Social Accounting Matrix (SAM) for 2015. Originality/value/contribution–The study recommends the use of this method for assessing the impact of tax policy changes to the South African economy. The CGE model seems to be the best model as far as the impact assessment of a shock in the econ-omy is concerned. This will assist the South African authorities with their decision mak-ing regarding future VAT revenue. Keywords: South African Revenue Service (SARS), Value Added tax (VAT), Dynamic computable general equilibrium (CGE) model.JEL Classification:H21, C68, E62.


2021 ◽  
pp. 77-107
Author(s):  
Martin Aarøe Christensen

AbstractThis chapter provides a description of the RHOMOLO model, a Spatial CGE model, developed and used by the European Commission for the impact assessment of policies at the regional level. Special emphasis is put on the innovation mechanisms underlying the model. Moreover, it discusses the scenarios simulated and the findings from the economic impact assessment of the Horizon Europe Framework Program.


2018 ◽  
Vol 45 (5) ◽  
pp. 793-807
Author(s):  
Arief Anshory Yusuf

Purpose The purpose of this paper is to analyze the impact of unconditional cash transfers in Indonesia on poverty and inequality while, unlike much of the previous literature on the welfare impact of such transfers, acknowledging that they will have both a direct effect and an economy-wide effect on the national economy. Design/methodology/approach The methodology used is a Computable General Equilibrium (CGE) model of the Indonesian economy. The unique feature of this model, which is very relevant in this study, is the disaggregation of households by expenditure classes; this allows for precise estimation of the distributional impact and poverty incidence. Findings The results suggest that, despite a large reduction in poverty, particularly in rural areas, such transfers reduce the Indonesian GDP, especially if domestically financed through increasing the value added tax of all commodities. However, the GDP reduction can be reduced by approximately half when cash transfers are financed by reducing the distortionary fuel subsidy. Moreover, cash transfers financed by reducing the fuel subsidy also reduce inequality by much more than otherwise. Various extents of the distribution of the transfers are compared, from giving them to the poorest 10 percent to distributing them equally to all households. The benefit of the transfers, in terms of reduced poverty and inequality, is found to be smaller when the author extends the beneficiaries toward the non-poor, although the economy-wide cost, in terms of the reduced GDP, is smaller. Research limitations/implications The CGE model used in this model is a comparative-static model that does not explicitly model the time dimension, i.e. how the impact of the transfers evolves over time. This is important if we want to know the timing of the transfers and how and when they are translated into impacts. Practical implications To reduce the contractionary effect of cash transfers program, government/policy makers should carefully look for appropriate financing such as from removing subsidy with pre-existing distortions like fuel subsidies. Social implications Government needs to carefully design cash transfers to minimize the negative indirect (economy-wide) implication for the national economy and to make sure that the transfers reach the targeted beneficiaries. Originality/value Few previous studies have acknowledged the indirect economy-wide effect in analyzing the impact of cash transfers. To the author’s knowledge, this has never been done before for Indonesia. Unlike previous studies, this paper is unique as it contains sensitivity analysis on how transfers can be mistargeted and reach the non-poor and looks at the implications not only for poverty and inequality but also for the rest of the economy.


2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Qi Wu ◽  
Hao Xiao

This paper investigates the effect of the policy of citizenization of rural migrant workers on the factor market in a dynamic CGE model, which contains multiple dimensions of labor heterogeneity, a labor-lagged adjustment mechanism, and a dynamic investment mechanism. The simulation results show that changes in supply in the labor market will affect the labor market structure, the relative factor price, and the investment in and the output of industries.


Author(s):  
Jaume Freire-González ◽  
Veronica Martinez-Sanchez ◽  
Ignasi Puig-Ventosa

Economic theory states that incineration and landfill taxes can be a good policy to reduce environmental impacts of these activities by reducing their importance and associated pollutants, while stimulating reuse and recycling of materials. In this research we assess the economic and environmental effects of these taxes in Spain with the use of a detailed dynamic CGE model, under different scenarios. We focus the economic impact on GDP and sectorial production, and the environmental impact on different impact categories: global warming potential, marine eutrophication potential, photochemical ozone formation potential, particulate matter, human toxicity (cancer and non-cancer), ecotoxicity, and depletion of fossil resources). We find in all scenarios that these taxes have a limited economic impact, while reduce all of the environmental impact categories analyzed.


2019 ◽  
Vol 28 (4) ◽  
pp. 2187-2204 ◽  
Author(s):  
Wei Li ◽  
Hongzhi Zhang ◽  
Shu Zhang
Keyword(s):  

The university is considered one of the engines of growth in a local economy or its market area, since its direct contributions consist of 1) employment of faculty and staff, 2) services to students, and supply chain links vendors, all of which define the University’s Market area. Indirect contributions consist of those agents associated with the university in terms of community and civic events. Each of these activities represent economic benefits to their host communities and can be classified as the economic impact a university has on its local economy and whose spatial market area includes each of the above agents. In addition are the critical links to the University, which can be considered part of its Demand and Supply chain. This paper contributes to the field of Public/Private Impact Analysis, which is used to substantiate the social and economic benefits of cooperating for economic resources. We use Census data on Output of Goods and Services, Labor Income on Salaries, Wages and Benefits, Indirect State and Local Taxes, Property Tax Revenue, Population, and Inter-Industry to measure economic impact (Implan, 2016).


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