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중국 거시경제지표가 호텔 및 외식기업의 경영성과에 미치는 영향

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Alternative Title
A Study of the Impact of Macro-economic Indices on the Performance of Hotels and Food Services in China
Abstract
This study examine the impact of China's macro-economy on the management performance of hotel companies and the sales of food services. This study analyze the relationship between the management performance of hotel and food services and Chinese macro-economic variables using the VECM (Vector Error Correction Model) as a multivariate time series model. The scope and setting of the research variables are as follows:
The time series analysis spans a total of 63 quarters, using data from the first quarter of 2007 to the fourth quarter of 2022. The companies analyzed are limited to hotel and food services listed on the Shanghai Stock Exchange and Shenzhen Stock Exchange in China as of December 31, 2022. In this study, variables that evaluate management performance include sales operating profit, operating profit ratio, return on assets (ROA), and return on equity (ROE). Macro-economic variables are classified into indicators related to the real economy sector, financial sector, and overseas trade sector.
Macro-economic variables in real economy sector include gross domestic product (GDP), unemployment rate (UEP), industrial production (IP), and consumer price index (CPI). Financial sector macro-economic variables comprise Shanghai Stock Exchange Composite (SSEC), currency volume (M2), and China's 10-year Treasury Yield. Export-Import (EXIM) and Exchange Rate (EX) are used as macro-economic variables in the overseas trade sector.
Regarding hotel service, The reseach findings indicate that the operating margin (OPR) of hotel companies has a positive Granger causal relationship with trade balance (LEXIM) and gross domestic product (LGDP). Currency volume (LM2) and 10-year Treasury yields (10YT) had negativel impact on OPR, while trade balance, yuan/dollar exchange rate (LEX), and unemployment (UEP) had positivel impact on OPR. GDP, trade balance, and money supply affect operating margin by up to 15%. Return on assets (ROA) has a Granger causal relationship with trade balance, money supply (M2), industrial production index (LIP), and GDP. Currency volume, yuan/dollar exchange rate, and unemployment rate had negativel impact on ROA in one quarter, followed by a positive impact in the next two to ten quarters. GDP, trade balance, and money supply affect ROA by up to 25%. Return on equity (ROE) has a Granger causal relationship with trade balance and GDP. Currency volume, unemployment, yuan/dollar exchange rate, and consumer price index (LCPI) had negativel impact on ROE in one quarter, followed by a positive impact. GDP and Consumer Price Index affect ROE by up to 22%. Gross sales (LRE) have a Granger causal relationship with trade balance and GDP. On the other hands GDP, yuan/dollar exchange rate, and consumer price index had positivel impact on LRE, while macro-economic variables such as the Shanghai Composite Index (LSSEC), money supply (LM2), industrial production index (LIP), unemployment rate (UEP), and 10-year Treasury yield (10YT) had negativel impact on total sales (LRE). The Shanghai Composite Index and the yuan/dollar exchange rate had impact on total sales by up to 22%, according to the study's findings.
Regarding food services, the study found that the operating profit ratio (OPR) exhibited a positive long-term equilibrium relationship with GDP (LGDP), with LGDP having the most significant impact on OPR. Return on assets (ROA) displayed a positive long-term equilibrium relationship with GDP (LGDP), and LGDP had the most significant impact on ROA. Return on equity (ROE) showed a positive long-term equilibrium relationship with the Consumer Price Index (LCPI) and a negative long-term equilibrium relationship with the 10-year Treasury yield (10YT). The 10YT and LCPI had the most significant impact on ROE. Total sales (LRE) demonstrated a positive long-term equilibrium relationship with the yuan/dollar exchange rate (LEX) and a negative long-term equilibrium relationship with the trade balance (LEXIM). LEXIM and LEX had the largest impact on LRE.
Author(s)
WANG QINGFEI
Issued Date
2023
Awarded Date
2023-08
Type
Dissertation
Keyword
중국 거시경제지표, 호텔, 외식, 경영성과
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/33417
http://pknu.dcollection.net/common/orgView/200000696567
Affiliation
부경대학교 대학원
Department
대학원 경영학과
Advisor
설훈구
Table Of Contents
제Ⅰ장 서론 1
제1절 연구의 배경 및 목적 1
제2절 중국 거시경제 현황 4
2.1 실물경제 부문 5
2.2 금융부문 9
2.3 해외무역 부문 13
제3절 코로나19가 중국 호텔 및 외식기업에 미치는 영향 18
제4절 연구의 방법 및 구성 20
4.1 연구방법 20
4.2 연구구성 22
제Ⅱ장 선행연구 23
제1절 다변량 시계열모형에 관한 선행연구 23
1.1 단위근 검증 및 그랜저인과관계 검증 23
1.2 벡터자기회귀모형(VAR model) 27
1.3 벡터오차수정모형(VEC model) 33
제2절 변수에 관한 선행연구 40
2.1 중국 거시경제에 관한 선행연구 40
2.2 호텔 및 외식기업의 경영성과에 관한 선행연구 44
2.2.1 호텔기업 경영성과에 관한 선행연구 47
2.2.2 외식기업 경영성과에 관한 선행연구 52
2.3 거시경제 호텔 및 외식기업의 경영성과에 관한 선행연구 56
제Ⅲ장 연구방법 61
제1절 연구모형(호텔기업) 61
1.1 단위근 검증 61
1.2 그랜저인과관계 검증 61
1.3 공적분 검증 62
1.4 VEC 모형의 추정 62
1.5 충격반응함수 및 분산분해 63
제2절 표본자료(호텔기업) 64
2.1 자료의 수집 64
2.2 자료의 정의 66
제3절 실증분석결과(호텔기업) 68
3.1 기초통계량 68
3.2 단위근 검증 70
3.3 시차 선정결과 74
3.4 그랜저인과관계 검증결과 75
3.5 공적분 검증결과 79
3.6 VEC 모형 추정결과 81
3.7 충격반응함수 분석결과 84
3.8 분산분해 분석결과 93
제4절 표본자료(외식기업) 100
4.1 자료의 수집 100
4.2 자료의 정의 101
제5절 실증분석결과(외식기업) 103
5.1 기초통계량 103
5.2 단위근 검증 105
5.3 시차 선정결과 108
5.4 그랜저인과관계 검증결과 109
5.5 공적분 검증결과 114
5.6 VEC 모형 추정결과 115
5.7 충격반응함수 분석결과 117
5.8 분산분해 분석결과 127
제Ⅳ장 결론 133
제1절 연구결과 요약 133
1.1 호텔기업에 관한 연구결과 133
1.2 외식기업에 관한 연구결과 135
제2절 연구의 시사점과 한계점 139
2.1 연구의 시사점 139
2.2 연구의 한계점 141
참고문헌 143
Degree
Doctor
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대학원 > 경영학과
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