RESUMO
Built structures, i.e. the patterns of settlements and transport infrastructures, are known to influence per-capita energy demand and CO2 emissions at the urban level. At the national level, the role of built structures is seldom considered due to poor data availability. Instead, other potential determinants of energy demand and CO2 emissions, primarily GDP, are more frequently assessed. We present a set of national-level indicators to characterize patterns of built structures. We quantify these indicators for 113 countries and statistically analyze the results along with final energy use and territorial CO2 emissions, as well as factors commonly included in national-level analyses of determinants of energy use and emissions. We find that these indicators are about equally important for predicting energy demand and CO2 emissions as GDP and other conventional factors. The area of built-up land per capita is the most important predictor, second only to the effect of GDP.
RESUMO
The COVID-19 pandemic has dramatically impacted tourism and leisure activities worldwide, especially in the hospitality sector. This paper has a conceptual and empirical motivation based on two objectives. First, it identifies several of the primary factors behind the vulnerability of tourism to COVID-19 (tourism dependency, market structure, the supply of rural accommodation, and health incidence of the pandemic). Second, it constructs a vulnerability index to COVID-19 using Spain and its 50 provinces as case. The main results obtained indicate that tourism to the Balearic Islands, the Canary Islands, the provinces of the Mediterranean coast, and Madrid, in which the state capital is located, present higher vulnerability to COVID-19, yet with different underlying factors. Our methodology and results are of interest to policymakers in terms of the short- and medium-term strategic policies that can be employed to mitigate current and future shocks.
