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The Tourism Sector and U.S. Regional Macroeconomic Stability: A Network Approach

doi: 10.3390/su12187543
This study investigates how the structural mix of USA regional economies affects their volatility of economic growth. Four exogenous sectors are chosen for this investigation: Federal Government, construction, manufacturing, and tourism. Perhaps unsurprisingly, evidence suggests that a larger share of Federal Government employment in an economy reduces the variability of overall employment growth, while a larger share of construction activity elevates it. More telling is a finding that, recently, manufacturing has not contributed as much to such variability, and that a larger tourism presence increases it. The increasing integration of technology in tourism offers significant opportunities for a network approach and innovation in regional development.
- University of North Texas United States
- University of North Texas United States
- University of Hawaii at Manoa United States
- University of Hawaiʻi Sea Grant United States
- University of Hawaii System United States
Environmental effects of industries and plants, variability, volatility, TJ807-830, Hospitality Administration and Management, network approaches, TD194-195, economic growth, Renewable energy sources, Tourism, Environmental sciences, Volatility, Economic Growth, tourism, Business, GE1-350, Variability, network approach, Network Approach
Environmental effects of industries and plants, variability, volatility, TJ807-830, Hospitality Administration and Management, network approaches, TD194-195, economic growth, Renewable energy sources, Tourism, Environmental sciences, Volatility, Economic Growth, tourism, Business, GE1-350, Variability, network approach, Network Approach
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
