Engines of tourism's growth: An examination of efficacy of shift-share regression analysis in South Carolina

Determining Leading Economic Sectors, by Large Distribution or Extreme Growth?

“…This method is utilized to observe economic structure and its shift through the growth of regional economic sectors in 144 Rosiadi comparison to similar sectors on larger areas, for example province to national, regency or city to province, district to regency, or village to district. Overall, shift-share analysis is a good and simple method in providing information about regional or sectoral economic policy (S. hen Chiang, 2012;Dogru & Sirakaya-Turk, 2017;Márquez et al, 2009;Mo et al, 2020;Oyewole, 2016), although this analysis cannot sufficiently show detailed information, particularly on sector role and economic policy (Tervo & Okko, 1983). Some previous studies also utilized shift-share analysis to find out the relationship of structural transformation to economic growth (de Vries et al, 2012;Maroto-Sánchez & Cuadrado-Roura, 2009;Maudos et al, 2008).…”

Mapping post crises the European job growth in travel agencies and tour operator reservation services

“…Yasin et al (2004) apply SSA to characterise the Portuguese tourism industry in the context of the challenges and opportunities of the global tourism. Dogru and Sirakaya-Turk (2017) improved the SSA method with the Shift-share regression for measuring the tourism industry's performance in a South Carolina in the USA. Shi et al (2007) in Jiangsu Province and Firgo and Fritz (2017) in Australia applies a spatially extended SSA and a modified dynamic shift-share model to analyse the spatial competitiveness of international tourism in in comparison with its neighbours.…”

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“…Es preciso señalar que las primeras investigaciones en las que se aplicó el análisis Shift-Share tuvieron el objetivo de analizar temas sobre el empleo. No obstante, al trascurrir del tiempo la técnica ha sido utilizado para analizar temas de turismo (Shi & Yang, 2008;Firgo & Fritz, 2016;Dogru & Sirakaya-Turk, 2017); energía eléctrica (Otsuka, 2017;Grossi & Mussini, 2018); Comercio Internacional (Markusen, Noponen, & Driessen, 1991;Dinc & Haynes, 2005;Chiang, 2012); fines predictivos (Mayor, López, & Pérez, 2005); así como también temas sobre la agricultura, industria, especialización y competitividad, índice de desarrollo humano (Fernandes, 2015), economía regional, planificación, políticas económicas, transporte (Ruiz, Peña, & Jiménez, 2015), entre otras. El éxito y amplia utilización del análisis Shift-Share se debe esencialmente a que en primer lugar los datos que requiere para su aplicación son de fácil acceso, simple, rápida y razonable (Stevens & Moore, 1980).…”