2008
DOI: 10.1007/s00168-008-0218-y
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Location quotient and trade

Abstract: R11, F11,

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Cited by 32 publications
(27 citation statements)
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“…For example, economic health in industries such as construction may be related to nonlocal economic factors such as immigration, the national economy, the real estate market, etc. For a more detailed explanation of the limitations of location quotients, please see Chiang ().…”
mentioning
confidence: 99%
“…For example, economic health in industries such as construction may be related to nonlocal economic factors such as immigration, the national economy, the real estate market, etc. For a more detailed explanation of the limitations of location quotients, please see Chiang ().…”
mentioning
confidence: 99%
“…The location quotient ( LQ ) is a quantitative measure used to describe the concentration of a group or an activity in a locality or region relative to that of a larger area such as the countrywide or national norm (Mayer & Pleeter ; Virtanen et al . ; Chiang ; Gregory et al . ) and has been widely used as an indicator in regional analysis (Mayer & Pleeter ; Miller et al .…”
Section: Methodsmentioning
confidence: 99%
“…The location quotient (LQ) is a quantitative measure used to describe the concentration of a group or an activity in a locality or region relative to that of a larger area such as the countrywide or national norm (Mayer & Pleeter 1975;Virtanen et al 2001;Chiang 2009;Gregory et al 2009) and has been widely used as an indicator in regional analysis (Mayer & Pleeter 1975;Miller et al 1991;Virtanen et al 2001). Therefore, LQ is used to identify regions where fisheries production exceeds the national average and acts as a basic industry.…”
Section: Methodsmentioning
confidence: 99%
“…All of this is essential for effective forecasting and policy development. Some recent examples found in the literature making use of regional modeling techniques include Dinc et al (1998), Hewings, Okuyama, and Sonis (2001), Grubesic (2002), Franklin and Plane (2004), and Chiang (2009).…”
Section: Primer Of Methods In Quantitative Geographymentioning
confidence: 99%