• Title/Summary/Keyword: 중국심천시

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A study on the information transfer effect among the China stock markets (중국증권시장의 정보이전효과에 관한 연구)

  • Lee, Sang-Woo;Lee, Eui-Kyung
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.6
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    • pp.1075-1084
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    • 2012
  • This study examines stock market co-movement among three China stock markets: Shanghai stock market, Shenzhen stock market, Hongkong stock market. US stock market leads three China stock markets and Honkong stock market leads Shanghai and Shenzhen stock market. But there are no lead-lag effects among China stock markets after controlling US stock market effect. These results could be important for the investors and firms that are interested in China stock markets.

중국의 현실과 지역적 특성

  • 강승삼
    • Journal of the Speleological Society of Korea
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    • v.30 no.31
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    • pp.55-67
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    • 1992
  • 산업의 경영도 국가경영, 집단경영, 개인경영으로 구분되어 있으나 국가경영은 오히려 능률이 낮고, 개인영업이 능률이 높은 것으로 인식되고 있었다. 국가경영의 1일 노동은 8시간 근무제이다. 개인경영은 6시부터 새벽 1시까지도 근무하고 개인은 열심히 일하고 급료도 많으며 service도 좋은 편이나 집단·국가경영도 급료 및 service도 낮은 편이다. 개인의 경우는 자가용은 꿈도 꿀 수 없는 상황이다. 호텔은 합작으로 동남아 화교들이 진출하여 건설중에 있고 경제합작, 경제특구로 심천, 광주가 지정되어 외국인 업체가 진출하고 있다. 특히 일본과의 합작이 많고 자동차, 오토바이 등이 거의 일본 제품이다. 상품은 백화점, 국영상점을 제외하고는 정가가 없고 호객 행위로 50% 할인이 보통이었다. 상품은 하등품으로 섬유, 공예품 등을 중심으로 다양성이 없었다.(중략)

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A Comparative Study on Clothing Purchase Behavior of Career Women in Big Cities of China - Focused on $20\~30's$ Women in Benjing, Shanghai, Shenzhen, and Changchun - (중국 대도시 직장여성들의 의복구매행동 비교연구 -북경, 상해, 심천, 장춘의 $20\~30$대를 중심으로-)

  • Park Hye Won;Zhang Chun Ji;Shin Hye Bong
    • Journal of the Korean Society of Clothing and Textiles
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    • v.29 no.1 s.139
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    • pp.124-135
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    • 2005
  • This study was intended to compare and analyze the clothing purchasing behavior of Chinese career women in Benjing, Shanghai, Shenzhen, and Changchun, and to provide useful information for establishment of marketing strategies for China. The subjects were 662 career women in their 20's or 30's living in Benjing, Shanghai, Shenzhen, and Changchun. Data was collected through the questionnaire based on the theoretical and previous studies from April 9, 2003 to April 31, 2003. A total of 662 questionnaires was analyzed by frequency, percentage, ANOVA, Duncan's multiple range test, and ${\chi}^2-test$. The results of this study were as follows: 1. Demographic variables such as an age, marriage, academic back ground, residential city, monthly income, and monthly expenditure on clothing were significantly different among the career women in Benjing, Shanghai, Shenzhen, and Changchun. 2. Clothing purchasing behavior variables such as clothing purchasing motive, using informants, clothing selection standards, store selection standards, and satisfaction after purchasing clothes were significantly different among the career women in Benjing, Shanghai, Shenzhen, and Changchun.

Factors Related with Residential Satisfaction of Urban Villages in Shenzhen, China (중국 심천시 어번 빌리지 주거만족도에 관련된 요소)

  • Zhang, Gui-Xian;Lee, Yeun-Sook;Lee, Soo-Jin
    • KIEAE Journal
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    • v.12 no.3
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    • pp.19-26
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    • 2012
  • Residential satisfaction is one of the most studied topics in the field of housing. This paper is to find factors that correlate with residential satisfaction of the residents and study the satisfaction differences between different groups of residents in urban village in Shenzhen. A questionnaire of 61 satisfaction variables grouped into five components based on literature review and actual situation in targeted village was conducted to find out factors related with residential satisfaction in urban villages. These components are dwelling unit, building conditions, village environment, neighborhood environment, and neighbors. Factors were extracted from these components and the correlations between the factors and residential satisfaction were analyzed by using Pearson's correlation coefficient to find out factors that most correlate to residential satisfaction. Satisfaction differences of the five components between respondents with different characteristics were also studied. The result showed all the factors positively correlated with residential satisfaction and residential satisfaction correlated the most with the factors of perception and information exchange, room sizes, and air condition and quality. The characteristics of gender, unit type, and interaction frequency with neighbors contributed to different satisfaction with certain components.