An Open Source Based Data Warehouse Architecture to Support Decision Making in the Tourism Sector

In this paper an alternative Tourism oriented Data Warehousing architecture is proposed which makes use of the most recent free and open source technologies like Java, Postgresql and XML. Such architecture's aim will be to support the decision making process and giving an integrated view of the whole Tourism reality in an established context (local, regional, national, etc.) without requesting big investments for getting the necessary software.Tourism, Data warehousing architecture

International Tourism and Economic Growth: a Panel Data Approach

On average, tourism-specialized countries grow more than others. This fact is inconsistent with economic theory as, in particular, endogenous growth theory suggests that economic growth is linked with: (1) sectors with high intensity in R&D and thus high productivity; (2) large scale. In this paper, we use panel data methods to go further in treating the endogeneity problem. In general and contrary to previous works, we conclude that tourism, on its own, cannot explain the higher growth rates of these countries.Tourism, Economic growth, Panel data

Social Carrying Capacity of Mass Tourist Sites: Theoretical and Practical Issues about its Measurement

Congestion is an important management problem at mass tourist sites. This essay focuses on the social carrying capacity (SCC) of a tourist site as indicator of residents’ and visitors’ perception of crowding, intended as the maximum number of visitors (MNV) tolerated. In case of conflict between the residents’ MNV tolerated and the visitors’ MNV tolerated, the policy-maker has to mediate. We consider the case in which the residents’ SCC is lower than the visitors’ SCC, and the site SCC is the result of a compromise between these two aspects of the SCC. This can be measured by making reference to two criteria of choice: the utility maximisation criterion and the voting rule. The use of one method rather than the other depends on the data available about the individual preferences on crowding. Assuming that individual preferences are known, a maximisation model for the computation of the site SCC is conceived. It represents the case in which the residents’ SCC is the limiting factor. The site SCC is intended as the number of visitors which maximises the social welfare function. Because a local policy-maker maximises the welfare of residents, in this model visitors are represented by those residents whose welfare wholly depends on the tourism sector, while the social costs due to crowding are borne by those residents who are partially or totally independent from tourism. Nevertheless, in practice, the individual preferences about crowding are not always known. In this case, the MNV tolerated can be computed by applying the majority voting rule. It is shown that, under certain conditions, the optimum number of visitors, obtained through a maximisation model, is equal to the MNV tolerated by the majority of voters.Sustainable tourism development, Tourism carrying capacity, Social carrying capacity, Maximisation criterion, Majority voting rule, Overcrowding, Mass tourist site

An Analysis of the Evolution of Tourism Destinations from the Point of View of the Economic Growth Theory

In this paper we try to build a bridge between the traditional analysis of the evolution of tourism destinations and economic growth theory. With such an aim we develop an environmental growth model for an economy specialized in tourism and we derive the pattern of tourism development with numerical calculations. The results of our simulations do not contradict the general pattern of evolution implied in the Tourism Area Life Cycle Hypothesis, being environmental deterioration and public goods congestion the main reasons for the stagnation of the tourism destination. We also show the importance of the quality of private tourism services in the evolution of the tourism destination.Tourism, Economic growth, Tourism lifcycle

From Government to Regulatory Governance: Privatization and the Residual Role of the State

This paper reviews the state of thinking on the governance role of public ownership and control. We argue that the transfer of operational control over productive assets to the private sector represents the most desirable governance, due to the inherent difficulty for citizens to constrain political abuse relative to the ability of governments to regulate private activity. However in weak institutional environments the process needs to be structured so as to avoid capture of the regulatory process. The speed of transfer should be timed on the progress in developing a strong regulatory governance system, to which certain residual rights of intervention must be vested. After all, what are “institutions” if not governance mechanisms with some degree of autonomy from both political and private interests? The gradual creation of institutions partially autonomous from political power must become central to the development of an optimal mode of regulatory governance. We advance some suggestions about creating accountability in regulatory governance, in particular creating an internal control system based on a rotating board representative of users, producers and civil society, to be elected by a process involving frequent reporting and disclosure.Regulatory Governance, Privatization

Tourism Immiserization: Fact or Fiction?

Tourism plays a major part in the development strategies of both developing and developed countries because of the alleged potential of generating foreign exchange, economic growth and welfare enhancement (Sinclair and Stabler, 1997; Sinclair, 1988). Consequently, in several countries a considerable amount of resources is allocated to further promote the tourism sector in a hope of reaping more economic benefits. However, it is still debatable whether tourism is beneficial for the tourist-receiving country or not. While empirical studies (Adams and Parmenter, 1994; Zhou et al., 1996, Baaijens et al., 1998; Blake, 2000; Blake et. al., 2003; Dwyer et al., 2003), argue that tourism expansion is beneficial to the economy, theoretical studies (Copeland, 1991; Chen and Devereux, 1999; Hazari and Nowak, 2003; Hazari et al., 2003; Nowak et al., 2003) posit that tourism expansion can be immiserizing. This paper critically reviews the theoretical and empirical literature to identify the sources via which tourism expansion can benefit or harm the economy. The issues are then empirically investigated using a CGE model for Mauritius to identify the conditions under which tourism expansion can be immiserizing.Tourism, Immiserization, Welfare, Economic growth

Migration, Unemployment and Net Benefits of Inbound Tourism in a Developing Country

International tourism is increasingly viewed as one of the best opportunities for a sustainable economic and social development of developing countries. There is also an increasing concern from public policy makers as to whether mass tourism coastal resorts can play a catalytic role in the overall economic development and improve the real income of their community. In this paper, we present a general equilibrium model which explicitly takes into consideration specific features of some developing countries (e.g. coastal tourism, dual labour market, unemployment, migrations, competition between agriculture and tourism for land) to analyse the ways by which an inbound tourism boom affects this kind of country, in particular its real income. We define the conditions under which an inbound tourism boom makes developing countries residents worse off.Economic impacts, General equilibrium model, Inbound tourism, Migration, Unemployment, Developing countries

Mitigation Strategies and Costs of Climate Protection: The effects of ETC in the hybrid Model MIND

MIND is a hybrid model incorporating several energy related sectors in an endogenous growth model of the world economy. This model structure allows a better understanding of the linkages between the energy sectors and the macro-economic environment. We perform a sensitivity analysis and parameter studies to improve the understanding of the economic mechanisms underlying opportunity costs and the optimal mix of mitigation options. Parameters representing technological change that permeates the entire economy have a strong impact on both the opportunity costs of climate protection and on the optimal mitigation strategies, e.g. parameters in the macro-economic environment and in the extraction sector. Sector-specific energy technology parameters change the portfolio of mitigation options but have only modest effects on opportunity costs, e.g. learning rate of the renewable energy technologies. We conclude that feedback loops between the macro-economy and the energy sectors are crucial for the determination of opportunity costs and mitigation strategies.Endogenous technological change, Climate change mitigation costs, Integrated assessment, Growth model, Energy sector, Integrated assessment

Growth, Conventional Production and Tourism Specialisation: Technological Catching-up Versus Terms-of-Trade Effects

This paper extends the ’expanding-varieties’ growth model in a two-countries-two-goods setup, and describes the dynamics of growth rates and terms of trade when the industry-based economy is the innovation leader, while the tourism-based economy is the follower (i.e. increases the number of intermediate inputs by readapting innovations developed abroad). Two types of transitional dynamics may exist: technological catching-up and technological falling-behind. Contrary to the standard result, technological catching-up by the follower is associated with lower growth rates with respect to the leader, whereas terms-of-trade effects guarantee positive growth differentials for the tourism-based economy when the technological gap with the leader increases over time. The underlying principle of ’increased relative demand’ might explain the good economic performance observed in tourism-dependent economies.Endogenous growth, Two-country models, Technology diffusion, Trade specialization

Accounting for Uncertainty Affecting Technical Change in an Economic-Climate Model

The key role of technological change in the decline of energy and carbon intensities of aggregate economic activities is widely recognized. This has focused attention on the issue of developing endogenous models for the evolution of technological change. With a few exceptions this is done using a deterministic framework, even though technological change is a dynamic process which is uncertain by nature. Indeed, the two main vectors through which technological change may be conceptualized, learning through R&D investments and learning-by-doing, both evolve and cumulate in a stochastic manner. How misleading are climate strategies designed without accounting for such uncertainty? The main idea underlying the present piece of research is to assess and discuss the effect of endogenizing this uncertainty on optimal R&D investment trajectories and carbon emission abatement strategies. In order to do so, we use an implicit stochastic programming version of the FEEM-RICE model, first described in Bosetti, Carraro and Galeotti, (2005). The comparative advantage of taking a stochastic programming approach is estimated using as benchmarks the expected-value approach and the worst-case scenario approach. It appears that, accounting for uncertainty and irreversibility would affect both the optimal level of investment in R&D –which should be higher– and emission reductions –which should be contained in the early periods. Indeed, waiting and investing in R&D appears to be the most cost-effective hedging strategy.Stochastic Programming, Uncertainty and Learning, Endogenous Technical Change