【摘要】The purpose of this study is to contribute to the ongoing debate about the performance of several location quotients (LQs); including Flegg's location quotient (FLQ) and the industry-specific FLQ (SFLQ); which was newly developed by Kowalewski (Reg Stud; 240-250; ). Unlike FLQ; which has one unique $$\delta $$ -value for all industries in a region; SFLQ allows for a variation in the exponential parameter value of $$\delta $$ for each industrial sector in order to capture specialization and to reduce the tendency for overestimation or underestimation of each of the industries in a given region. Since the national and regional survey data are available for South Korea; this study evaluates and compares the results for SFLQ against those of other non-survey techniques. The findings prove that SFLQ is superior to other LQs; including FLQ and augmented FLQ. In addition; empirical evidence shows that the optimal values for the exponential parameters vary drastically among industries. SFLQ provides more detailed information on regional industries with individual $$\delta $$ values; which is definitely helpful when analyzing regional specialization and shifts in industrial structure. Furthermore; to determine the optimal exponential $$\delta ({\delta _j })$$ value in FLQ and SFLQ in advance; Flegg's and Kowalewski's regression models are tested with the use of Korean data. The statistics indicate that the regression equations are debatable and still need major improvement. 

【文献来源】Zhao X;Choi S G. Annals of regional Science.2015(3)