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패션산업과 거시 변수들간의 관계 -패션 상장기업 중심으로-
The Relationship between the Fashion Industry and Macro Variables - Focus on Fashion Listed Company - 원문보기

Fashion & textile research journal = 한국의류산업학회지, v.22 no.1, 2020년, pp.38 - 54  

권기용 (서울대학교 의류학과) ,  추호정 (서울대학교 생활과학연구소)

Abstract ▼ AI-Helper 아이콘AI-Helper

This study examines the time causal relationship between the operation profit of the listed fashion companies and the macro variables. Operating profit data of 36 listed fashion companies from 2000 to 2017 has been used. Macro variables include household income, household expenditure, number of Kore...

주제어

#패션 상장기업   #패션산업   #거시 변수   #패션 상장기업 영업이익   #그랜저 인과관계  

질의응답

핵심어 질문 논문에서 추출한 답변
소비자 심리지수가 산업 분석에 있어 주요 변수로 다루어지는 이유는? 소비자심리지수는 관광 산업, 부동산 산업, 외식 산업 등 다양한 산업에 영향을 미치는 것으로 알려져 있다(Noh & Yoo, 2016; Kim & Kang, 2015). 특히, 소비자 심리지수는 제품에 대한 수요예측뿐만 아니라 산업의 방향성을 예측 할 수 있기 때문에 산업을 분석하는데 주요 변수로 다루어지고 있다. 패션산업 또한 경기에 민감하게 반응하는 산업이다.
외래관광객수가 내수 산업 발전에 긍정적 영향을 미치는 이유는? 반면에 방한 외래관광객수는 내수 산업 발전에 직, 간접적으로 긍정적 영향을 미치는 거시적 변수로 알려져 있다(Hwang, 2012). 이는 방한 외국인 관광객이 관광지에서 다양한 지출을 하기 때문이다. 2000년대를 시작으로 한국의 드라마, 음악, 게임 등과 같은 한국 컨텐츠 사업이 전세계적으로 성공함에 따라 한국 문화를 체험하고자 하는 방한 외국인 수가 증가하였으며, 한국의 패션을 구매하고자 하는 외국인 관광객도 갈수록 증가하고 있다(Kim et al.
소비자 심리지수란 무엇인가? 일반적으로 경제 상황이 좋다고 인식되면 상품에 대한 소비가 증가하고, 경제 상황을 부정적으로 인식하면 상품 구매에 대한 욕구가 감소하기 때문이다(Lee, 1997).이러한 경제상황에 대하여, 소비자들의 주관적인 인식을 지수화 시킨 것이 소비자 심리지수이다(Bank of Korea, 2016). 소비자심리지수는 관광 산업, 부동산 산업, 외식 산업 등 다양한 산업에 영향을 미치는 것으로 알려져 있다(Noh & Yoo, 2016; Kim & Kang, 2015).
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참고문헌 (68)

  1. Baek, H. Y., & Ahn, S. Y. (2012). The difference of the effects of private tutoring expenditure on the change of consumption structure of households depending on income bracket. Korean Social Policy Review, 19(3), 9-47. doi:10.17000/kspr.19.3.2012. 09.9 

  2. Bang, S. K. (2002). A study on fashion accessory consumer's purchasing behavior. Unpublished master's thesis, Ewha Womans University, Seoul. 

  3. Bank of Korea. (2016). Composite consumer sentiment index. Retrieved June 01, 2018, from http://www.bok.or.kr/portal/ecEdu/ ecWordDicary/search.do?menuNo200688&query%EC%86%8C%EB%B9%84%EC%9E%90%EC%8B%AC%EB%A6%AC%EC%A7%80%EC%88%98&ecWordSn314 

  4. Carroll, C. D., Fuhrer, J. C., & Wilcox, D. W. (1994). Does consumer sentiment forecast household spending? If so, why?. The American Economic Review, 84(5), 1397-1408. 

    상세보기

  5. Cho, G. W. (2011). What happened to the Korean economy in 2011? [한국경제, 2011년에 무슨 일이] Retrieved October 14, 2018, from http://www.hani.co.kr/arti/economy/economy_general/791838.html 

  6. Cho, H. (2013). A study on the usage status of smart phone users by gender and age. Internet and Security Focus, 11(0), 35-51. 

  7. Cho, J. H. (2016, December 5). Only 5 out of 37 fashion listed com- panies increase sales. The International Textile Fashion News. Retrieved May 2, 2018, from http://www.itnk.co.kr/news/article View.html?idxno51521 

  8. Cho, W. S., & Choi, H. J. (2014). An effects of education expenditures on the economic growth. International Commerce and Information Review, 16(2), 185-198 

  9. Chung, K. C. (2018, April 6). 60 listed textile fashion companies caught all three rabbits. Korea Textile Newspaper. Retrieved May 2, 2018, from http://www.ktnews.com/news/articleView.html?idxno 106714. 

  10. Consortium of Korea Fashion Industry Institute. (2005). 패션 시장규모 [Fashion Market Scale Survey]. Seoul: Presses Ministry of Trade, Industry and Energy. 

  11. Curtin, R. (2002). Surveys of consumers: Theory, methods, and interpretation. NABE 44th Annual Meeting, September 30, 2002, Washington, DC. 

  12. Dechow, P. M. (1994). Accounting earnings and cash flows as measures of firm performance: The role of accounting accruals. Journal of Accounting and Economics, 18(1), 3-42. doi:10.1016/ 0165-4101(94)90016-7 

    상세보기 crossref

  13. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), 427-431. doi: 10.2307/ 2286348 

  14. Flores, G., Krishnakumar, J., O'Donnell, O., & Doorslaer, V. (2008). Coping with health-care costs: Implications for the measurement of catastrophic expenditures and poverty. Health Economics, 17(12), 1393-1412. doi:10.1002/hec.1338 

    상세보기 crossref

  15. Granger, C. W. (1980). Testing for causality: a personal viewpoint. Journal of Economic Dynamics and Control, 1(2), 329-352. doi:10.1016/0165-1889(80)90069-X 

  16. Ham, J. Y., & Son, J. Y. (2012). Causality between housing price and policy: Is housing policy exogenous?. Housing Studies, 20(4), 27- 45. 

  17. Hur, Y. K., Jang, K. S., Kim, S. J., & Kim, H. M. (2008). The granger casuality analysis between prices and trading volume in the housing market - Focused on apartment property markets in Seoul. Housing Studies Review, 16(4), 49-70. 

  18. Hwang, J. H. (2012). A study on the economic impacts of consumption spending on overseas tourists. Journal of Tourism and Leisure Research, 24(6), 175-194. 

  19. Hwang, S. P. (2009). Impact of changes in consumption structure on industrial structure. 금융경제연구, 1(1), 1-47. 

  20. Jeong, B. S., & Lim, J. M. (2017). An empirical analysis of housing consumer psychology and apartment auction price. Journal of Real Estate Analysis, 1(1), 109-123. 

  21. Jho, K. H. (2011). A comparative study of household food consumption expenditures. 학문과기독교세계관, 4(0), 77-93. 

  22. Ji, H. K., & Rhee, E. R. (1999). The characteristics of clothing consumption expenditures by the business cycles in Korea. Journal of the Korean Society of Clothing and Textiles, 23(5), 745- 456. 

  23. Kang, M. J. (2012). A study on the urban household's telecom- munications expenditure. Journal of Commodity Science and Technology, 30(1), 49-55. doi:10.36345/kacst.2012.30.1.005 

  24. Kang, N. C., & Choi, H. S. (2014). The operating income measure and information contents of operating performance disclosure. Journal of Accounting and Finance, 32(4), 437-454. 

  25. Kim, B. (2014). A study on beauty tourism consumption of Chinese tourists in Korea. Journal of Beauty Industry, 8(2), 5-26. 

  26. Kim, G. H., Kim, K. H., & Lee, J. H. (2016). Study on the causality and lead-lag relationship between size of house sub market and the consumer sentiment survey. Journal of the Korea Academia- Industrial Cooperation Society, 17(4), 682-691. doi:10.5762/ KAIS.2016.17.4.682 

  27. Kim, H. R., & Choe, H. C. (1999). The influences of household income and asset in the consumption expenditures according to housing tenure. Family and Environment Research, 37(10), 91-106. 

  28. Kim, J. O., Kim, N. J., & Jeong, C. (2013). Effects of the perception of K-pop on destination image and visit intention to Korea: Focusing on Chinese undergraduate students. Journal of Tourism Sciences, 37(1), 77-101. 

  29. Kim, S. H. (2005). The sales promotion effect of bargain sale of department store: Focused on the differences by year and merchandise class, and on the relationship with the consumer attitude Index. Journal of the Korean Society of Clothing and Textiles, 29(11), 1389-1398. 

  30. Kim, S. Y., Fang, X. Z., & Yoo, S. J. (2013). Causality between sales price of housing index and consumer sentiment index: Impact on Korea(south) and China. The Journal of Modern China Studies, 15(1), 175-210. 

  31. Kiwoom Securities. (2017). Listed companies analysis. Seoul: Kiwoom securities. 

  32. Kim, Y. R., & Kang, Y. S. (2015). A study on the relationship between consumer sentiment and inventory management. Korean Corporation Management Review, 22(4), 101-120. 

  33. Kotler, P. (2000). Marketing management: The millennium edition. Marketing Management, 23(6), 188-193. 

  34. Korea Culture & Tourism Institute. (2017a). 국민여행실태조사보고서 [National travel survey report]. Retrieved October 14, 2018, from https://kto.visitkorea.or.kr/kor/notice/data/statis/tstatus/natstatus/ board/view.kto?id430094&isNoticefalse&instanceId296&rnum1 

  35. Korea Culture & Tourism Institute. (2017b). 한국관광통계 [Korea tourism statics]. Retrieved June 20, 2018, from http://kto.visitkorea.or.kr/kor/notice/data/statis/profit/board/view.kto?id379522&isNoticetrue&instanceId294&rnum0 

  36. Korea Federation of Textiles Industries. (2018). 한국 패션시장 규모 2018 [Korean Fashion Consumer Market Size in 2018]. Retrieved May 2, 2018, from http://www.kofoti.or.kr/bbs/data/ 1808_data_14.pdf 

  37. Korea Economic Research Institute. (2017). 국내소비 1.6%씩 늘어 나는 동안, 해외소비 10.1% 증가 [Domestic consumption increased by 1.6%, while overseas consumption increased by 10.1%]. Retrieved December 01, 2018 from http://www.keri.org/ web/www/news_02?p_p_idEXT_BBS&p_p_lifecycle0&p_p_statenormal&p_p_modeview&_EXT_BBS_struts_action%2Fext%2Fbbs%2Fview_message&_EXT_BBS_messageId355073 

  38. Korea Tourism Organization. (1999). 외래관광객 실태조사보고서 [National travel survey report] Retrieved October 14, 2018, from http://dl.nanet.go.kr/SearchDetailView.do?cnMONO1200000896 

  39. Lee, C. W., Kim, K. S., & Lee, S. W. (2000). On the informativeness of the quality of operating income. 회계와 세무감사연구, 36(1), 1-27. 

  40. Lee, E. Y. (1997). Fashion Marketing. Seoul: Kyomoonsa. 

  41. Lee, D. J. (1998). An investigation of causality between travel expenditure and macro-economic variables. Korea Journal of Tourism Research, 2(25), 26-38. 

  42. Lee, J. H., & Han, D. H. (2016). Essentials of corporate finance. Seoul: Parkyoungsa. 

  43. Lee, J. H., & Kim, M. H. (2014). K-pop과 드라마 검색 데이터로 본 한류의 현주소 [The current address of the Korean wave in K-pop and drama search data]. Retrieved December 11, 2018, from http://www.lgeri.com/report/view.do?idx18430 

  44. Lee, J. K. (2009). Characteristics of the Affordable Housing Based on Disposable Income of Households in Seoul. Journal of Korea Planning Association, 44(7), 97-108. 

  45. Lee, K., & Choi, S. (2003). 관광산업의 지역경제 기여효과 분석 [Economic impact analysis of regional tourism industry]. Retrieved December 11, 2018, from http://www.cultureline.kr/webgear/board_pds/6806/D001385.PDF 

  46. Lee, Y. R. (2015). A study on the effects of household income volatility on housing occupancy and housing demand. Review of Real Estate and Urban Studies, 7(2), 41-59. 

  47. Lim, H. J., & Park, K. W. (2012). Expenditures on education and household saving ratio. Bank of Korea, 18(3), 115-155. 

  48. Min, K. S. (2016). Leisure time and satisfaction among South Koreans: Disparity by income, age, and gender. Unpublished doctoral dissertation, Yonsei University, Seoul. 

  49. Mondal, S., Lucas, H., Peters, D., & Kanjilal, B. (2014). Catastrophic out-of-pocket payment for healthcare and implications for household coping strategies: Evidence from west Bengal, India. Economics Bulletin, 34(2), 1303-1316. 

  50. Moon, G. (2006). The relation between price changes, volatilities and trading volume changes in Korean stock market. The Korean Academic Association of Business Administration, 19(4), 1441- 1460. 

  51. Noh, M. J., & Yoo. S. J. (2016). A relationship between sales prices of APT and Consumer Sentiment. 국토연구, 89(0), 3-13. doi:10. 15793/kspr.2016.89.001 

  52. Park, J. S. (2014, May 2). Digital Times. Retrieved from http:// www.dt.co.kr/contents.html?article_no2014052602010231747002 

  53. Park, E. H., & Ku, Y. S. (2012). Lifestyle, fast fashion attitude, and cosmetics behavior according to college student pursuit of clothing benefits typology. Journal of Fashion Business, 16(1), 121-136. doi:10.17053/jcc.2012.15.3.007 

    원문보기 상세보기 crossref

  54. Park, E. J. (2005). Mediating effects of browsing on impulse buying behavior for fashion products. Journal of the Korean Society of Clothing and Textiles, 29(10), 1340-1348. 

  55. Park, M. S. (2016). 연령별 관광소비패턴 변화의 내수파급효과 [Domestic spillover effects of tourism consumption pattern changes by age]. Korea institute for industrial economic & trade. Retrieved December 10, 2018, from http://www.kiet.re.kr/kiet_ web/?sub_num12&stateview&idx52696 

  56. Park, M. S., Kyo, D. Y., & Lee, S. H. (2015). 관광수요패턴변화 가 내수경기에 미치는 영향분석[Analysis of the impact of tourism demand patterns on the domestic economy] Seoul: Press Institute of Industry. 

  57. Park, S. M., & Huh, K. O. (2012). A structural relationship between consumption value, consumption behavior and consumption satisfaction by income class. Journal of Consumption Culture, 15(3), 139-157. doi:10.17053/jcc.2012.15.3.007 

    crossref

  58. Ryu, S. H. (2017). International visitor survey. Retrieved June 20, 2018, from http://kto.visitkorea.or.kr/kor/notice/data/statis/tstatus/ forstatus/board/view.kto?id429831&isNoticefalse&instanceId295&rnum7 

  59. Seong, E. Y. (2018). Impact of disposable income and built environment factor on retail business sales -Focused on restaurants, supermarkets and cellphone shops in Seoul. Unpublished doctoral dissertation, Hanyang University, Seoul. 

  60. So, Y. K. (2000). Structure of the consumption expenditure by income bracket: Comparative analysis before and after IMF. Family and Environment Research, 38(12), 1-14. 

  61. Statics Korea. (2017a). 가계동향조사 [Household trend survey]. Retrieved June 20, 2018, from http://kosis.kr/statHtml/statHtml. do?orgId301&tblIdDT_040Y002&vw_cdMT_ZTITLE&list_id301_G&seqNo&lang_modeko&languagekor&obj_var_id&itm_id&conn_pathMT_ZTITLE 

  62. Statics Korea. (2017b). 사회조사 [Social Survey]. Retrieved June 20, 2018, from http://kosis.kr/statHtml/statHtml.do?orgId101&tblId DT_1SSED110R&vw_cdMT_ZTITLE&list_id101_D214&seqNo&lang_modeko&languagekor&obj_var_id&itm_id&conn_pathMT_ZTITLE 

  63. Statics Korea. (2017c). 소비자심리지수 [Consumer sentiment index]. Retrieved June 20, 2018, from http://kosis.kr/statHtml/statHtml. do?orgId301&tblIdDT_040Y002&vw_cdMT_ZTITLE&list_id301_G&seqNo&lang_modeko&languagekor&obj_var_id&itm_id&conn_pathMT_ZTITLE 

  64. Wilkes, A., Hao, Y., Bloom, G., & Xingyuan, G. (1997). Coping with the costs of sever illness in rural China. Brighton. Institute of Development Studies United Kingdom. Retrieved June 5, 2018 from https://opendocs.ids.ac.uk/opendocs/bitstream/handle/123456789/ 3362/Wp58.pdf?sequence1 

  65. Woo, K. S., & Shin, Y. J. (2015). The effect of catastrophic health expenditure on household economy: Focusing on financial coping and poverty. 보건사회연구, 35(3), 166-198. doi:10.15709/hswr. 2015.35.3.166 

    상세보기

  66. Woo, M. H., Lee, J. H., & Chung, I. J. (2003). The influence of macro economic environmental change on the food service industries. Tourism & Leisure Research, 15(2), 79-98. 

  67. Yoo, K. W. (2010). The impact of education expenditure on household saving and consumption behaviors in Korea. Journal of Consumer Studies, 21(4), 135-160. 

  68. Yoon, S. H. (2013). European acceptance of K - pop and youth acceptance strategies of cultural diffusion. Korean Journal of Journalism & Communication Studies, 57(3), 135-161. 

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