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Note on Association for Korean Markets Using Correspondence Analysis KCI 등재

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  • URLhttps://db.koreascholar.com/Article/Detail/316839
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산경연구논집 (JIDB) (산경연구논집)
한국유통과학회 (Korea Distribution Science Association)
초록

Purpose - In this paper, we consider more segmented types of markets than conventional version of ones in South Korea and explore the degree of relations between these markets and the related factors with them. In this case, ten attributes of types of markets mentioned above will be considered. To be more specific, the numerical strength is evaluated and graphical approach is expressed on two-dimensional plane, if the association exists between the considered variables.

Research design, data, and methodology - This work is done by the 2013 report on the commercial building lease offered by Small Businessmen Promotion Institute (May/2013~August/2013) and exploited by statistical analyses such as correspondence analysis and a chi-squared test in IBM SPSS 23.0.

Results - Findings of this paper indicate that a variable Korean market, including traditional markets, are closely connected with variables administrative district, sales and occupation instead of company, age group and business duration and the detailed associations between variables can be obtained by inspecting results of correspondence analysis.

Conclusions - We can understand where the status of the Korean markets stands now through this work and also government authority and local autonomy can take advantage of these findings to enhance the revitalization of Korean markets and other markets.

목차
1. Introduction
 2. Theoretical Reviews of CorrespondenceAnalysis
 3. Data Collection
 4. Research Results
  4.1. Association between administrative districtand market
  4.2. Association between sales and market
  4.3. Association between occupation and market
  4.4. Association between company and market
  4.5. Association between age group and market
  4.6. Association between business duration andmarket
 5. Concluding Remarks
 References
저자
  • Dong-Bin Jeong(Department of Information Statistics, Gangneung-Wonju National University) Corresponding Author