Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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An Analysis on the Characteristics in Spatial Distribution of Consumer Organizations

소비자단체의 공간적 분포 특성

  • Ko, Daekyun (Research Institute of Human Ecology, Seoul National University) ;
  • Han, Jihyung (Research Institute of Human Ecology, Seoul National University)
  • 고대균 (서울대학교 생활과학연구소) ;
  • 한지형 (서울대학교 생활과학연구소)
  • Received : 2018.08.22
  • Accepted : 2018.11.20
  • Published : 2018.11.28
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Abstract

The purpose of this study was to provide the necessary data to explore the development plans of consumer organizations by looking at the spatial distribution of consumer organizations. This is because community-based consumer organizations can propose concrete measures to solve consumer problems more effectively. In this study, data of 11 consumer organizations and 815 branches were collected and analyzed using local indicators of spatial distribution and spatial lag model. First, it was difficult to find patterns according to the geographical characteristics of the spatial distribution of consumer organizations. Second, consumer organizations were more distributed in areas with large populations and businesses and large areas. Third, there is a discrepancy between the demand and supply of consumer organizations when compared with the number of consumer counseling. Based on this, it is necessary to constantly seek concrete development plans by supplementing the qualitative data on the activities of consumer organizations.

본 연구에서는 소비자단체의 공간적 분포와 그 특성을 살펴보고, 소비자단체의 발전 방안을 모색하는 데 필요한 근거 자료를 마련하고자 하였다. 이를 통해 지역을 기반으로 한 소비자단체가 소비자문제를 보다 효과적으로 해결할 수 있는 구체적인 방안을 제안할 수 있기 때문이다. 본 연구에서는 11개 소비자단체, 815개소 지부 및 지회 자료를 수집하여 국지적 자기상관과 공간시차모델을 활용하여 분석하였다. 첫째, 소비자단체의 공간적 분포는 지리적인 특성에 따른 패턴을 찾기 어려웠다. 둘째, 소비자단체는 인구와 사업체 수가 많고 면적이 큰 지역일수록 더 많이 분포하고 있는 것으로 나타났다. 셋째, 소비자단체의 공간적 분포는 소비자상담 건수와 비교할 때, 소비자단체의 수요와 공급 간 불일치가 발생한다는 것을 나타낸다. 후속 연구에서는 소비자단체의 활동에 관한 질적 자료를 보충하여 분석함으로써, 소비자단체의 구체적인 발전방안을 지속적으로 모색할 필요가 있다.

Keywords

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Fig. 1. The Distribution of the Numbers of Consumer Organizations

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Fig. 2. LISA(Local Indicators of Spatial Autocorrelation)Cluster Map of the Density Distribution of Consumer Organizations

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Fig. 3. The Frequency Distribution of Consumer Counseling

Table 1. Socio-Economic Variables across City/Country/District

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Table 2. Administrative Districts with a Large Number (over 7) of Consumer Organizations

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Table 3. Administrative Districts belonging to HH type and LL type

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Table 4. Summary of Spatial Lag Model

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Table 5. Ranking of Province/City with the averagenumber of consumer counseling and consumer organizations

DJTJBT_2018_v16n11_45_t0005.png 이미지

References

  1. S. W. Kim. (2004). Activities of non-government consumer organization: focused on development plans of non-government consumer organization in korea. Journal of Consumer Studies, 15(2), 39-66.
  2. E. S. Moon. (2004). Conceptualizing consumer movements and developmental processes of the korean consumer movement. Civil Society & NGO, 2(2), 189-224.
  3. J. S. Yeo, J. Y. Sah, D. K. Ko, M. J. Koo & S. M. Lee. (2017). Analysis on consumer organizations to enhance consumer activism in korea. Journal of Consumer Studies, 28(5), 115-135.
  4. C. S. Kang & D. M. Kim. (2017). A legal & institutional supporting on local broadcast development: syntactic approach about special act on the development of local broadcasting. Journal of Digital Convergence, 15(1), 45-52. https://doi.org/10.14400/JDC.2017.15.1.45
  5. S. A. Kwon & Y. M. Jang. (2015). Theoretical study to utility of concept mapping for expected outcome draw of multi-organizations network: focusing on integrated case management activities of community social welfare organizations. Journal of Convergence for Information Technology, 5(1), 7-11.
  6. J. Y. Sohn & S. K. Oh. (2007). Measuring accessibility of day care centers for the elderly in seoul using gis spatial analysis techniques. Journal of The Korean Association of Regional Geographers, 13(5), 576-594.
  7. M. J. Jang & C. D. Kang. (2011). The spatial patterns of single family housing in seoul 1970-2009. Seoul Studies, 12(2), 19-40.
  8. K. Kim. (2017). An analysis on the changes in spatial distribution patterns of the poor classes in the city of seoul. Journal of the Korean Urban Geographical Society, 20(1), 61-71. https://doi.org/10.21189/JKUGS.20.1.4
  9. S. R. Park & J. K. Park. (2018). Extraction of crime vulnerable areas using crime statistics and spatial big data. Journal of Convergence for Information Technology, 8(1), 161-171.
  10. H. S. Seo. (2012). Status of consumer organization under the framework act of consumers: the investigation of status quo and agenda through study on the history of consumer organization. Journal of Consumer Policy Studies, 43, 71-96.
  11. D. W. Kwon. (2011). Die rechte der verbraucher als grundrechte und verwirklichung des rechts für verbrecherbewegung. World Constitutional Law Review, 17(3), 259-290.
  12. S. Y. Kang & J. S. Kim. (2005). Consumer education efforts given by the local government and the consumer protection organizations in jeju. Consumer Policy and Education Review, 1(1), 29-46.
  13. K. H. Chun & K. C. Rhee. (2006). A study on the meaning of consumerism of community currency movement focusing on "Hanbat-LETS" participants' consumer experiences. Consumer Policy and Education Review, 2(1), 147-166.
  14. H. Y. Lee & J. S. Yeo. (2002). Analysis of participation of the consumer organizations in the policy-making process of product liability law. Journal of Consumer Studies, 13(1), 75-98.
  15. Korea National Council of Consumer Organizations. (2018). 40 years history of korea national council of consumer organizations.
  16. K. S. Kim. (2014). Initiatives for activating the operations of the consumer protection agency of gyeongbuk province. 2014-39, Daegu Gyeongbuk Development Institute.
  17. M. S. Kim, T. H. Won & H. H. Yoo. (2015). Analysis on the accessibility of the primary medical facilities in jinju city. The Korea Society For Geospatial Information System, 23(3), 49-55.
  18. Y. H. Won, C. G. Choi & J. H. Lee. (2014). The influence factors analysis of the street revitalization by spatial distribution of small retail businesses' classification in seoul city. Journal of Korea Spatial Information Society, 22(6), 81-90. https://doi.org/10.12672/ksis.2014.22.6.081
  19. H. S. Kim & D. W. Jeong. (2010). Characteristics in spatial distribution of medical services in seoul. Journal of the Korean Urban Management Association, 23(1), 27-45.
  20. D. J. Kim, M. W. Hwang & M. S. Jung. (2016). Spatial analysis technology trend and utilization of open source gis sw for diagnosing territorial land. Anyang: Korea Research Institute for Human Settlements.
  21. Korea Consumer Agency. (2018). Annual consumer counseling trends report 2017.