Abstract
We analyze the economic evolution of a Spanish province that has become a leading region in mass tourism: The Balearic Islands. Environmental data are provided, which complement conventional macroeconomic variables. We analyze the relationship between economic activity and the consumption of natural resources in the Balearic Islands during the period 2000-2017. We find two clear patterns, one before the Global Crisis, and another one after it. We state that the Balearic economic model has become more sustainable since 2008. It implies that public policies, together with own households’ and enterprises’ initiatives in terms of changing production and consumption patterns have paid off and should be continued and deepened.
Highlights
Tourism is considered one of the main engines of economic growth and development (see Li et al (2018) for a state of the art)
Despite the numerous economic benefits of tourism development, the tourism activity contributes notably to carbon dioxide (CO2) emissions, since it is intensive in the use of fossils fuels (Murray, 2002; Becken & Simmons, 2002; Becken & Patterson, 2006; Scott et al, 2010; and Murray, 2013, among others)
This use of fossils fuels is direct and indirect
Summary
Tourism is considered one of the main engines of economic growth and development (see Li et al (2018) for a state of the art). The data come from the official Statistics Office of the Balearic Islands (Gini index and wages); the Regional Ministry of Environment, Agriculture and Fisheries (water consumption); the Regional Ministry of Territory, Energy and Mobility (energy consumption and CO2 emissions); the Island Council (production of USW); and the National Institute of Spanish Statistics (Unit Labour Costs, GDP and GDP per capita) The indicators and their reciprocal relation are characterised by the following: 1. Chrematistic variables (GDP, GDP per capita) are intermingled with environmental ones (production of USW, CO2 emissions, energy use, and water consumption); 3 They do not put aside the social aspect of the process of growth, since they incorporate data on inequality (Gini index) and consumption capacities (through wage indicators).
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