• 제목/요약/키워드: macroeconomic variable

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기계산업 수출액에 대한 거시경제변수의 예측 실험 - 보건과학분야의 정밀기계 수출액 포함 - (The Forecast analysis on Non-electrical Machinery and Equipment of Macroeconomic variables)

  • 김종권
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2006년도 춘계공동학술대회
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    • pp.471-484
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    • 2006
  • The focus of analysis is effect on Non-electrical Machinery and Equipment of Macroeconomic variables through long-term and short-term periods. Also, this paper is related with implication on steady growth possibility of Non-electrical Machinery and Equipment. The period of variables is from 1985 to April in 2005. In case of not-available data is treated as missing figures. As spatial scope, these data are Non-electrical Machinery and Equipment on the basis of KSIC. In case of items, it composes MTI 1&3 digit of Korea International Trade Association (KITA), on the basis of HSK & classification of Korea Machinery industries. According to Granger causality test, yield of Cooperate Bond and export amount of Machinery have a meaning at statistical Confidence level of 10%. In case of index of the unit cost of export and export amount of Machinery, they have an interactive Granger cause. In yen dollar exchange rate and export amount of Machinery, former variable gives an unilateral Granger cause to latter that.

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거시경제변수가 호텔기업의 수익성에 미치는 영향 (Macroeconomic Forces Effect on the Hotel Profitability)

  • 김수정
    • 한국콘텐츠학회논문지
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    • 제13권1호
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    • pp.417-424
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    • 2013
  • 본 연구는 거시경제변수가 호텔 기업의 수익성에 미치는 영향을 분석하여 경영자들에게 유용한 정보를 제공하는데 그 목적이 있으며 이를 위해 전체 호텔 기업을 대상으로 분석을 실시하였다. 거시경제변수가 총자산순이익률에 미치는 영향에 관한 회귀분석 결과 산업생산지수와 원/달러환율은 정(+)의, 국제원유가격, 소비자물가지수, 실업률은 부(-)의 유의적인 영향을 미치는 것으로 나타났으나 통화량과 무역수지는 유의적인 영향을 미치지 않는 것으로 나타났다. 그리고 거시경제변수가 자기자본순이익률에 미치는 영향에 관한 회귀분석 결과 소비자물가지수와 실업률은 부(-)의, 원/달러환율은 정(+)의 유의적인 영향을 미치는 것으로 나타났으나 산업생산지수, 국제원유가격, 통화량, 무역수지는 유의적인 영향을 미치지 않는 것으로 나타났다. 분석 결과를 종합해 보면 총자산순이익률과 자기자본순이익률 모두에 영향을 미치는 변수는 원/달러환율과 실업률인 것으로 나타났다. 분석 결과를 종합해 보면 총자산순이익률과 자기자본순이익률 모두에 영향을 미치는 변수는 원/달러환율과 실업률인 것으로 나타났다. 따라서 호텔 경영자들은 환율이 높아질수록 국내 호텔 상품이 가격적인 면에서 매력성이 있다는 것을 강조하는 마케팅전략뿐만 아니라 외래 관광객들이 호텔에 투숙하는 동안 즐길 수 있는 다양한 상품과 서비스를 제공함으로서 수익성을 증대시키도록 노력해야 할 것이다. 또한 실업률이 높은 경기 불황기에는 고가의 상품뿐만 아니라 중저가 패키지 상품 등을 함께 제공함으로 보다 많은 고객들을 유인하려고 노력해야 할 것이다.

거시경제변수를 반영한 실물옵션 시나리오별 공공임대주택리츠 분양전환 가치 분석 (Analysis of Value for Ownership Conversion in the Public Rental Housing REITs According to Real Option Scenarios Reflecting Macroeconomic Variables)

  • 현미옥;장미경;전준용;김주형
    • 한국건설관리학회논문집
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    • 제18권3호
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    • pp.74-83
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    • 2017
  • 공공임대주택리츠는 임대기간이 만료되면 임차인이 우선 분양전환 할 수 있는 권리를 가지고 있다. 10년 공공임대주택의 분양전환 시점은 임대의무기간 후 공고되지만 공공주택 특별법의 개정으로 임대의무기간의 1/2만 지나면 임대인과 임차인의 합의하에 분양전환 할 수 있게 되었다. 이를 통해 자가 마련을 위한 수요는 많지만 임대사업자는 수익확보가 되지 않는다는 이유로 조기 분양전환에 소극적인 태도를 보이고 있으며, 분양전환가 산정에 있어 임대인과 임차인의 합의점 도출에 어려움이 있다. 또한 공공임대주택이 '리츠' 방식으로 공급되면서 조기분양전환 수익성에 관련된 이해관계자가 증가하여 임대주택의 공공성을 저해하고 공기업과 정부의 불신이 발생할 우려도 있다. 따라서 공공임대주택리츠의 수익성을 확보하고 공익적 목적을 동시에 실현할 수 있는 조기분양전환 적정시점 분석이 필요하다. 본 연구에서는 임차인이 행사할 수 있는 분양전환권을 옵션의 특성으로 본다. 분석 대상인 '공공임대주택리츠'의 특성이 거시경제변수의 영향을 받을 것으로 고려되는 바 거시경제 상황의 변화에 따른 시나리오별 실물옵션 가치를 분석했다. DCF(Discountes Cash Flow) 모형에 의해 조기분양전환 적정시점 확보가 가능하다. 따라서 변수의 변동성을 예측하여 조기분양전환 시점을 고려해야 할 것으로 생각한다.

아파트매매가격지수와 거시경제변수에 관한 시계열모형 연구 (Time series models on trading price index of apartment and some macroeconomic variables)

  • 이훈자
    • Journal of the Korean Data and Information Science Society
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    • 제28권6호
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    • pp.1471-1479
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    • 2017
  • 아파트매매 가격지수의 변동은 국가의 경제뿐만 아니라 사회, 산업, 문화 등의 전 분야에 영향을 준다. 본 연구에서는 아파트매매 가격지수를 거시경제변수로 설명하는 시계열모형을 연구하고자 한다. 설명변수로 사용한 거시경제변수는 우리나라 주택담보 대출금리, 원유수입 물가지수, 소비자 물가지수, KOSPI 주가지수, 국내총생산 (GDP), 국민총소득 (GKI)의 6가지 변수를 사용하였다. 아파트매매 가격지수와 모든 경제변수는 2001년 9월부터 2017년 5월까지 약 16년간의 월별 자료를 사용하였다. 아파트매매 가격지수 자료의 설명을 위해 시계열 모형 중 자기회귀오차 (ARE) 모형을 사용하여 분석하였다. ARE 모형 분석 결과 아파트매매 가격지수는 1개월 전 아파트매매 가격지수, 주택담보 대출금리와 KOSPI 주가지수에 의해 영향을 받는 것으로 나타났다.

The Impact of Crude Oil Prices on Macroeconomic Factors in Korea

  • Yoon, Il-Hyun
    • 아태비즈니스연구
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    • 제13권2호
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    • pp.39-50
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    • 2022
  • Purpose - The purpose of this study is to examine how Korea's macroeconomic factors, such as GDP, CPI, Export, Import, Unemployment rate and USD/KRW exchange rate, are affected by the oil price shocks. Design/methodology/approach - This study used monthly and quarterly time-series data of each variable for the period 1983 to 2022, consisting of two sub-periods, to employ Granger causality test and GARCH method in order to identify the role of the oil price movement in macroeconomic factors in Korea. Findings - Korea's currency rate to the US dollar is negatively correlated with the price change of crude oil while the GDP change is positively correlated with the price change of crude oil with strong relationship between Export and Import in particular. The exchange rate and GDP growth are believed to be not correlated with the oil price change for the pre-GFC period. According to the Granger causality test, the price change in crude oil has a causal impact on CPI, Export and Import while other factors are relatively slightly affected. Transmission effect from the oil price to Export is found and there also exists volatility spillover from oil price to economic variables under examination. Comparing two sub-periods, CPI and Export volatility responds negatively to shocks in the oil price for the pre-GFC period while volatility of CPI and Unemployment reacts positively to the oil price shocks for the post-GFC period. Research implications or Originality - The findings of this study could be helpful for both domestic and international investors to build their portfolio for the risk management since rising WTI price can be interpreted as a result of global economic growth and ensuing increase in the worldwide demand of the crude oil. Consequently, the national output is expected to increase and the currency is also expected to be strong in the long run.

A Study on the Determinants of Social Welfare: Evidence from Macroeconomics

  • He, Yugang;Feng, Wang
    • 산경연구논집
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    • 제9권9호
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    • pp.7-14
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    • 2018
  • Purpose - Social welfare is a social insurance system that provides funds and services for all citizens to maximize their life quality. Its ultimate goal is to alleviate social contradictions. Therefore, this paper explores the determinants of social welfare in terms of macroeconomics. Research design, data, and methodology - Based on the vector error correction model, the annual time series from 1990 to 2017 will be used to conduct an empirical analysis. The real GDP, the real income, the inflation and the degree of openness will be treated as independent variables. The input of social welfare will be treated as a dependent variable. These variables will be used to perform the cointegration test and the vector error correction model to explore how the macroeconomic variables affect social welfare both in long run and short run. Result - Via the empirical analysis, it can be summarized that the real GDP, the real income and the degree of openness are the driving determinants to enlarge the social welfare. Conversely, the inflation is the obstructive determinant to reduce the social welfare. Conclusion - The positive and negative determinants of social welfare exist simultaneously, China's government should take macroeconomic regulation and control to balance them to enlarge social welfare.

A Study on the Determinants of Artificial Intelligence Industry: Evidence from United Kingdom's Macroeconomics

  • He, Yugang
    • 한국인공지능학회지
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    • 제6권2호
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    • pp.1-9
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    • 2018
  • Recently, the rapid development of artificial intelligence industry has resulted in a great change in our modern society. Due to this background, this paper takes the United Kingdom as an example to explore the determinants of artificial intelligence industry in terms of United Kingdom's macroeconomics. The quarterly time series from the first quarter of 2010 to the fourth quarter of 2017 will be employed to conduct an empirical analysis under the vector error correction model. In this paper, the real GDP, the employment figure, the real income, the foreign direct investment, the government budget and the inflation will be regarded as independent variables. The input of artificial intelligence industry will be regarded as a dependent variable. These macroeconomic variables will be applied to perform an empirical analysis so as to explore how the macroeconomic variables affect the artificial intelligence industry. The findings show that the real GDP, the real income, the foreign direct investment and the government budget are the driving determinants to promote the development of artificial intelligence industry. Conversely, the employment figure and the inflation is the obstructive determinants to hamper the development of artificial intelligence industry.

Determinants of Micro-, Small- and Medium-Sized Enterprise Loans by Commercial Banks in Indonesia

  • YUDARUDDIN, Rizky
    • The Journal of Asian Finance, Economics and Business
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    • 제7권9호
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    • pp.19-30
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    • 2020
  • This paper investigates, in a single equation framework, the effect of bank-specific and macroeconomic determinants on micro-, small- and medium-sized loans by commercial banks in Indonesia. This study uses a sample of 790 observations from 79 commercial banks in Indonesia over the years 2006-2015. This study uses two estimation methods for our panel regressions: static and dynamic generalized method of moments (GMM) panel estimator. In static relationships, the literature usually uses the least square methods on fixed effects (FE) or random effects (RE). I found evidence that all banks, bank profitability and size are positively and significantly related to micro-, small- and medium-sized loans, while the coefficients of liquidity are significantly positive in all specifications, except government banks which is significantly negative. The relationship between risk and credit growth is negative for non-government banks. All estimated equations show that the effect of the capital variable on lending banks to MSMEs is not important in government banks and non-government banks. Finally, macroeconomic variables, such as inflation and gross domestic product, clearly affect the lending of the banking sector particularly non-state banks. The findings have several policy implications to Indonesia government, regulatory authority and bank managers in order to improve bank profitability through bank lending.

The Effect of Financial Liberalization on Economic Growth: The Case of Egypt and Saudi Arabia

  • MANSOUR, Hoda;HASSAN, Soliman
    • The Journal of Asian Finance, Economics and Business
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    • 제8권11호
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    • pp.203-212
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    • 2021
  • Theoretically, economic growth necessitates financial liberalization. Thus, the current research examines the effect of financial liberalization on economic growth in emerging nations, with a particular focus on Egypt and Saudi Arabia. To determine this effect, the study employs a model that uses Gross Domestic Product growth as the dependent variable and the following macroeconomic variables as financial liberalization indices: Broad money as a percentage of GDP, Domestic bank credit to the private sector as a percentage of GDP, Monetary sector credit to the private sector as a percentage of GDP, Net inflows of foreign direct investment as a percentage of GDP. All data is annual data of Egypt and the Kingdom of Saudi Arabia for the period 1970-2018 obtained from the World Bank open data website. The empirical investigation employs the Autoregressive Distributed Lag (ARDL) approach. The findings indicate that, after more than three decades of implementation, both countries' financial and external liberalization policies do not have a favorable effect on their economies' growth rates. Additionally, this study has led us to conclude that any financial liberalization policy in both countries must be preceded by the strengthening of these countries' financial development and institutional frameworks, as well as the achievement of macroeconomic stability.

거시경제변수와 일반기계산업 간의 연관성 분석 (The Effect analysis on Non-electrical Machinery and Equipment of Macroeconomic variables)

  • 김종권
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2006년도 춘계공동학술대회
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    • pp.447-470
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    • 2006
  • According to Granger causality test, yield of Cooperate Bond and export amount of Machinery have a meaning at statistical Confidence level of 10%. In case of index of the unit cost of export and export amount of Machinery, they have an interactive Granger cause. In yen dollar exchange rate and export amount of Machinery, former variable gives an unilateral Granger cause to latter that. Also, call rate gives an unilateral Granger cause to export amount of Machinery. In case of $M_3$ & export amount of Machinery, former variable have an influence on latter that at 5% Confidence level.

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