지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 김종진
- 발행연도
- 2014
- 저작권
- 전주대학교 논문은 저작권에 의해 보호받습니다.
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Since IMF The real estate market is to seek operations revenue more
than capital gain. In this study, we decide macroeconomic variables that
affect vacancy rate of office buildings of real estate for profit and
exhibit standards for rational decision-making. The macroeconomic
variables used in this study are a total money supply, GDP, consumer
price index , exchange rate, interest rate.
This study use vector error correction model because these
macroeconomic has variation of time series. Specifically, the total money
supply, consumer price index, exchange rate showed a negative effect
on the vacancy rate of office. The consumer price index rises, burden
to the economic, reduced the demand for office. Exchange rate rises,
reduce return on investment of foreign capital and reduced the
investment of the office finally increase the vacancy rate of office. GDP
showed a positive effect on the vacancy rate of office. GDP increases,
the industrial economy has become activated, increase demand for office and finally decrease the vacancy rate of office. In the case of interest
rate, the interest rate decrease, increase business investment and
demand for office and finally decrease increase the vacancy rate of
office. In theory, the total money supply is expected that shows positive
effect on the vacancy rate of office but this study show opposite result.
This is that total money supply affect other macroeconomic variables,
but it seems a bit more careful study is needed.
From the results, This study shows some of important implications.
First, the office vacancy rate is sensitive to the consumer price index.
consumer price index showed a negative effect on the vacancy rate of
office. consumer price index continues to rise, this trend will continue
to persist and this trend will make the vacancy rate of office incerase.
Second, the office vacancy rate is sensitive to the exchange rate
which showed a negative effect on the vacancy rate of office. So
consider foreign investors who think exchange rate as important factor.
Finally, the lower the interest rate increases the demand for office.
Interest rates fell continuously during the analysis period, the future,
interest rates are likely to maintain a low level. Interest rates decrease,
reduce costs of business finance, increase demand of office, finally
decrease the vacancy rate of office. We can maximize effect on vacancy
rate of office caused by the interest rate at economic center where
gather companies. So economic center where has Integrated effect is
considered as important impact So far as we have seen in the study,
vacancy rate of office has a close correlation with the Macroeconomic
variables However, the macro-economic variables are mutually influence
each other, consider all of these macro-economic variables together
than capital gain. In this study, we decide macroeconomic variables that
affect vacancy rate of office buildings of real estate for profit and
exhibit standards for rational decision-making. The macroeconomic
variables used in this study are a total money supply, GDP, consumer
price index , exchange rate, interest rate.
This study use vector error correction model because these
macroeconomic has variation of time series. Specifically, the total money
supply, consumer price index, exchange rate showed a negative effect
on the vacancy rate of office. The consumer price index rises, burden
to the economic, reduced the demand for office. Exchange rate rises,
reduce return on investment of foreign capital and reduced the
investment of the office finally increase the vacancy rate of office. GDP
showed a positive effect on the vacancy rate of office. GDP increases,
the industrial economy has become activated, increase demand for office and finally decrease the vacancy rate of office. In the case of interest
rate, the interest rate decrease, increase business investment and
demand for office and finally decrease increase the vacancy rate of
office. In theory, the total money supply is expected that shows positive
effect on the vacancy rate of office but this study show opposite result.
This is that total money supply affect other macroeconomic variables,
but it seems a bit more careful study is needed.
From the results, This study shows some of important implications.
First, the office vacancy rate is sensitive to the consumer price index.
consumer price index showed a negative effect on the vacancy rate of
office. consumer price index continues to rise, this trend will continue
to persist and this trend will make the vacancy rate of office incerase.
Second, the office vacancy rate is sensitive to the exchange rate
which showed a negative effect on the vacancy rate of office. So
consider foreign investors who think exchange rate as important factor.
Finally, the lower the interest rate increases the demand for office.
Interest rates fell continuously during the analysis period, the future,
interest rates are likely to maintain a low level. Interest rates decrease,
reduce costs of business finance, increase demand of office, finally
decrease the vacancy rate of office. We can maximize effect on vacancy
rate of office caused by the interest rate at economic center where
gather companies. So economic center where has Integrated effect is
considered as important impact So far as we have seen in the study,
vacancy rate of office has a close correlation with the Macroeconomic
variables However, the macro-economic variables are mutually influence
each other, consider all of these macro-economic variables together
목차
제1장 서론 ······························································································································· 1제1절 연구의 배경 및 목적 ·································································································· 1제2절 연구의 방법 및 범위 ·································································································· 21. 연구의 방법 ······················································································································ 22. 연구의 범위 ······················································································································ 3제3절 선행 연구 고찰 및 본 연구의 차별성 ····································································· 61. 선행연구 고찰 ·················································································································· 62. 본 연구의 차별성 ·········································································································· 10제2장 오피스 및 공실률에 관한 고찰 ·············································································· 12제1절 오피스빌딩의 개요 및 분류 ···················································································· 121. 오피스빌딩의 정의 ········································································································ 122. 오피스빌딩의 분류 ········································································································ 14제2절 오피스시장의 입지 및 특성 ···················································································· 191. 오피스시장 특성 ············································································································ 192. 오피스시장 입지이론 ····································································································· 21제3절 공실률 관련 이론 ······································································································ 241. 공실률 개념 및 특성 ···································································································· 242. 자연 공실률 개념 및 특성 ··························································································· 253. 공실률 발생 원인 ·········································································································· 264. 공실률에 관한 이론적 모형 ························································································· 27제3장 공실률의 이론적 결정모형 및 가설 설정 ····························································· 30제1절 공실률 영향 요인 ······································································································ 301. GDP와 공실률 ················································································································ 302. 이자율과 공실률 ············································································································ 313. 총통화량과 공실률 ········································································································ 314. 소비자물가지수와 공실률 ·······················
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