• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.11-19
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• 2021

This study aims to analyze the causality relationship between sectoral stock markets (agricultural, financial, industrial, and mining sectors) and economic growth in the short and long term as well as to analyze whether it has similar types or not. The data used is quarterly time-series data (first quarter 2009 to fourth 2019). To determine the causality relationship, this study conducts a variable and multivariate causality test. The results of the varying granger causality test show that there is only a one-way relationship, where the economic growth of the agriculture sector affects its shares. A one-way relationship also occurs in stocks of the industrial sector, which has an influence on economic growth. The multivariate causality test shows that the economic growth of the agricultural sector has a two-way causality relationship, and it also exists between the industrial sector and the financial sector stock markets. The two-way causality relationship between the stock market and sectoral economic growth is a convergence towards long-term equilibrium. The findings of this study suggest that the government through the Financial Services Authority and the Indonesia Stock Exchange have to maintain stability in the stock market as a supporter of the national economy.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.693-702
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• 2020

The present study aims to investigate the impact of tourism growth on human development in Indian economy. For this purpose, the study uses annual data from 1980 to 2018 and utilizes two proxies for tourism growth - tourism receipt and tourist arrivals - and uses human development index calculated by UNDP. The study uses control variables such as government expenditure and trade openness. The study employs auto regressive distributed lag (ARDL) approach to investigate the cointegrating relationship among the variables in the model. Further, the study also explores the causal nexus between tourism sector and human development by using the Toda-Yamamoto Granger non-causality test. The result of ARDL bounds test reveals the existence of cointegrating relationship between human development indicators, government expenditure, trade openness, and tourism sector growth. The cointegating coefficient confirms a positive and significant relationship between tourism sector growth and human development in India. The causality result suggests that economic growth and tourism have a positive impact while trade openness has a negative impact on human development in India. The major findings of this study suggest that tourism plays an important role in the socio-economic development of Indian economy in recent years and the country must develop this sector to achieve sustainable development.

• Journal of Information Technology Applications and Management
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• 제18권2호
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• pp.39-59
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• 2011

Information Technology (IT) has been working as an engine of growth in Korea since early 1990's. For the next leap of Korean economy and to overcome worldwide financial crisis, Korea's IT industry needs to find a new breakthrough. In this viewpoint, we tried to empirically analyze the impact of Korea's IT trade on domestic industry. Since Korean government is trying to set up a few free trade agreements (FTA) with major trade partners, more accurate understanding of the impact of FTA is required to find the correct way to promote Korea's IT industry. We first looked at the current status of Korea's IT trade with major partners such as the US, Japan, and China to understand the competitiveness of Korea's IT industry. Having done this, we measured the impact of IT trade on domestic industry using Granger causality test. The results showed that the positive impact of trade is bigger on IT industry than on whole industry. Also, the impact of import turned out to be bigger than that of export. Among the major trade partner countries, the US’s and China's impacts are bigger than Japan's impact. Another notable thing is that IT product import from the US has especially big impact on domestic IT industry. Our findings may have certain implications to the FTA related policy.

• 한국시뮬레이션학회논문지
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• 제21권1호
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• pp.19-26
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• 2012

본 논문은 카자흐스탄의 해외직접투자와 경제성장에 관한 연관관계를 연구한다. 이 연구를 위하여 저자들은 먼서 카자흐스탄의 독립이후로 해외직접투자에 영향을 미친 요인들을 조사하고 그들의 영향정도를 파악한다. 다음으로 일인당 GDP대한 일인당 해외직접투자의 영향을 연구한다. 이러한 연구목적을 달성하기 위하여 1992년부터 2009년 사이의 자료를 World Bank Database에서 수집하여 분석하였다. 자료분석은 중회귀분석, 시계열분석 및 Granger Causality Test를 주로 사용하였다. 연구 결과에 의하면 해외직접투자에 영향을 미치는 요소는 GDP 와 economic freedom index로 나타났으며, 경제성장 또한 해외직접 투자에 영향을 받는 것으로 나타났다. 특별히, 해외직접투자는 GDP 및 economic freedom index와 양의 상관관계가 있었다. 일인당 GDP에 대한 일인당 해외직접투자의 영향은 일인당 해외직접투자 1달러 증가시 일인당 GDP 30.4달러가 증가하는 것으로 나타났다. 본 연구의 결과는 정책결정자들로 하여금 해외투자를 유치하고 경제성장을 촉진하는 정책결정에 유용한 정보를 제공할 것이다.

• 통상정보연구
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• 제16권2호
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• pp.185-198
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• 2014

본 연구는 교육비 지출, 경제성장, 수출, 수입간의 인과관계 및 상호영향을 대하여 알아보았다. 우선 Granger causality test를 실시한 결과 교육비 지출은 수출입에 영향을 받는 것으로 나타났으며, 다른 변수들간에는 인과관계가 없다는 결과가 나타났다. 또한 충격반응함수로 본 교육비지출과 변수들간의 관계는 교육비 지출은 수출에 초기 (-)의 영향을 주나 일정시기가 지나면 (+)의 영향을 주는 것을 알 수가 있고, 수입의 경우에는 초기(-)의 영향을 주면, 차츰 0으로 수렴되는 경향이 있음을 알 수 있다. 마지막으로 교육비 지출은 GDP에 (+)의 영향을 주는 것으로 나타나고 있다. 따라서 본 연구를 통하여, 수출입이 증가함에 따라, 즉 개방이 가속하 됨으로 인하여 고급인력의 수요가 증가하여 교육에 대한 새로운 투자가 증가하는 것으로 판단되어지며, 이는 고급인력의 수요를 맞추기 위하여 정부가 외국어, 연구인력 등을 위한 교육투자가 선행되어져야 함을 알 수 있다.

• 산업경영시스템학회지
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• 제41권4호
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• pp.34-41
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• 2018

This paper studied balanced regional development focused on employment in Korea, by analyzing regional disparity between regional and industrial employment. A Gini-coefficient decomposition method and Panel Granger causality test were conducted, using raw data of the Census on Establishments reported by the Statistics Korea. The regional and industrial disparity of employment, based on the Gini-coefficient decomposition method, have increased by year. However, the growth rates of disparity are on the decrease. Most of employment disparity occurred from regional disparity between SMA (Seoul Metropolitan Area) and Non-SMA. Industrial disparity are occurred mainly by the service industry. The amount of contribution to the whole disparity of inter/intra regional employment was differed by each industrial sector. Also the causal relationship between employment growth of manufacture and that of service industry was analyzed by Panel Granger causality test. In national level, the employment growth in manufacture industry has conduced that in service industry. On the other hand, in the Non-SMA, only the employment growth in manufacture industry has augmented that in service industry. In conclusion, to reduce employment disparity, the strategy for balanced regional development should be emphasized. Different strategies are needed across regions and industries. Basically creating new job in the Non-SMA is inevitable. In view of stable employment, manufacture industry is more desirable rather than service industry.

• 무역학회지
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• 제44권2호
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• pp.127-141
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• 2019

In this study, the relationship between Baltic Dry Index(BDI) and maritime trade volume in the dry cargo market was verified using the vector autoregressive (VAR) model. Data was analyzed from 1992 to 2018 for iron ore, steam coal, coking coal, grain, and minor bulks of maritime trade volume and BDI. Granger causality analysis showed that the BDI affects the trade volume of coking coal and minor bulks but the trade volume of iron ore, steam coal and grain do not correlate with the BDI freight index. Impulse response analysis showed that the shock of BDI had the greatest impact on coking coal at the two years lag and the impact was negligible at the ten years lag. In addition, the shock of BDI on minor cargoes was strongest at the three years lag, and were negligible at the ten years lag. This study examined the relationship between maritime trade volume and BDI in the dry bulk shipping market in which uncertainty is high. As a result of this study, there is an economic aspect of sustainability that has helped the risk management of shipping companies. In addition, it is significant from an academic point of view that the long-term relationship between the two time series was analyzed through the causality test between variables. However, it is necessary to develop a forecasting model that will help decision makers in maritime markets using more sophisticated methods such as the Bayesian VAR model.

• 재무관리연구
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• 제22권2호
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• pp.189-212
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• 2005

본 연구는 새로운 정보에 대하여 국채선도금리시장(forward market)과 국채 현물시장(spot market) 중 어느 시장이 더 효율적으로 반응하는지에 관한 분석을 실시하였다. 2002년 3월부터 2005년 1월말까지 3개월, 6개월, 9개월 및 1년물 국채선도금리(forward rate)와 각 시계열들의 현물 금리의 수익률 및 변동성자료를 사용하여 그랜져인과관계분석, 충격반응함수 및 분산분해 분석을 실시하였으며 주요 분석결과는 다음과 같다. 먼저 수익률 및 변동성을 이용한 그랜져인과관계분석(Granger causality test)결과에 의하면 국채 선도금리시장이 국채현물시장보다 새로운 정보에 대하여 더 효율적으로 반응하는 것으로 나타났다. 충격 반응함수(impulse response analysis)에서도 국채선도금리시장의 국채현물시장에 대한 영향력이 국채현물시장의 국채선도금리시장에 대한 영향력보다 더 강하고 지속적인 것으로 나타났다. 분산분해분석(variance decomposition analysis)에서는 전체적으로 3개월 및 6개월 등기간이 짧은 국채선도금리 수익률 및 변동성이 기간이 긴 국채선도금리보다 국채현물시장에 대한 영향력이 상대적으로 더 큰 것으로 나타났다. 이러한 분석결과로부터 새로운 정보에 대하여 국채현물시장보다는 국채선도금리시장이 더 효율적으로 반응하고 있음을 추론해 볼 수 있으며 이는 기존 국내외 주식현물시장과 선물시장들 간의 영향력을 분석한 결과 선물시장의 현물시장에 대한 영향력이 더 강한다는 결과들과 일맥상통하는 것으로 나타났다.

• 한국항만경제학회지
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• 제36권4호
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• pp.1-16
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• 2020

우리나라는 항만 인프라가 뛰어나며, 석유화학단지를 보유하고 있기 때문에 동북아 오일 허브의 가능성이 충분하다. 특히 부가가치가 높은 STS(해상환적작업)는 국가 경제에 크게 기여하고 있다. 본 연구에서는 화학공업생산품, 석유정제품, 그리고 원유를 전국, 부산, 울산, 그리고 여수/광양 물동량으로 분류하였다. 그리고 이들 간의 수입, 수출 및 환적의 그랜저 인과관계를 살펴보았다. 단위근 검정을 위하여 ADF, PP, KPSS를 적용하였다. 또한 VAR모형과 Toda and Yamamoto의 확장된 VAR모형을 활용하여 분석을 실시하였다. 그 결과 각 지역에 따라 그랜저 인과관계 유무에 차이가 있는 것을 발견하였다. 또한 컨테이너와 비컨테이너로 구분해서 분석한 결과 화물 종류에 따른 차이가 나타났다. 따라서 항만에 대한 정부의 정책이나 인센티브제도와 같은 지원은 획일화 보다는 지역, 화물의 종류, 화물의 운송 형태 등에 따라 차별화가 요구된다.

• The Journal of Asian Finance, Economics and Business
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• 제10권2호
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• pp.213-222
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• 2023

This paper mainly studies the relationship between financial development, inbound tourism development, and economic growth rate in Fujian Province, China. This study uses the data of real GDP, foreign exchange income from international tourism, and financial interrelations ratio from 1994 to 2019. In the analysis process, the Johansen cointegration test is first used to analyze whether the three have a long-term equilibrium relationship. Then the vector error correction model is established to test the restrictive relationship among the three. Next, the Granger causality test assesses whether the three have a causal relationship. Finally, the contribution rate of the three is analyzed by variance decomposition. The above methods show the following conclusions: first, the three have a long-term equilibrium relationship. Secondly, in the short term, local economic growth is constrained by inbound tourism and financial development. Thirdly, there is a causal relationship between economic growth and inbound tourism in Fujian, while there is a unidirectional causal relationship between financial development and economic growth, financial development, and inbound tourism. Fourthly, the contribution rate of inbound tourism to economic growth fluctuations in Fujian is higher than that of financial development.