• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.99-109
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• 2021

This study aims to examine the causal links between the fiscal components, i.e., government expenditures (GE) and government revenues (GR), and their impact on the economic growth of the Association of Southeast Asian Nations (ASEAN) region. This analysis considered secondary panel data from 1990 to 2019 at an annual frequency. The data is obtained from the Asian Development Bank (ADB) and World Bank Database. A panel cointegration and panel DH causality (Dumitrescu and Hurlin) approach was employed on financial data at an annual frequency from 1990 to 2019. The findings from panel unit root and panel cointegration tests demonstrate that, at first, all the variables are stationary and cointegrated. The panel ARDL disclosed that GE has a long-run connection with GDP, is significantly and positively associated with economic growth in the long run, whereas GR is significant in the short run. The contribution of GE is high in sustaining economic growth as compared to GR. Also, cointegration regression disclosed that GE is more sensitive toward GDP, while GR is less elastic. Lastly, the findings reveal that bidirectional causality exists between GE and GR variables. These results have policy implications for sustainable economic growth in the ASEAN region.

• East Asian Economic Review
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• 제19권1호
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• pp.39-70
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• 2015

This paper examines the effects of foreign direct investment (FDI) on South Asian economies' output growth, utilizing recent panel cointegration testing and estimation techniques. Annual panel data on eight SAARC (South Asian Association for Regional Cooperation) member countries' macroeconomic variables over the period 1960- 2013 are employed in empirical analysis. Using various heterogeneous panel cointegration and panel causality tests, a bi-directional relationship between FDI and growth is found. We find evidence for both FDI-led growth and growth-induced FDI hypotheses for the South Asian economies over the sample period. Individual member countries exhibit heterogeneity in terms of the direction or existence of causality subject to their idiosyncratic economic conditions. Among various regressors, FDI, financial development, human capital, and government consumption show the most significant positive effects on output growth. As determinants of FDI, GDP, financial development, human capital, and government consumption are found significant in the region. The bi-directional causality between FDI and growth is found robust to the inclusion of other control variables and using different estimation techniques.

• 한국항만경제학회지
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• 제29권3호
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• pp.95-111
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• 2013

본 연구는 한 ASEAN FTA의 교역효과를 살펴보기 위해 패널분석을 실시하였다. Panel Unit Root Test, Panel Cointegration Test, Pooled OLS, Hausman Test, Fixed Effect, Random Effect를 살펴보았다. 분석자료는 ASEAN회원국 10개국 중 우리나라와 교역규모가 적은 브루나이, 라오스, 미얀마, 캄보디아 4개국은 제외하고, 인도네시아, 말레이시아, 필리핀, 싱가포르, 타이, 베트남 등 6개국의 1997년부터 20011년까지 15년간의 년간 자료를 분석하였다. 본 연구의 시사점은 우리 정부는 세계적인 FTA 확산추세에 대응하고 안정적인 해외시장 확보를 통한 경쟁력을 강화하기 위해서 FTA 체결 효과를 극대화할 필요가 있다. 또한 WTO의 상품과 서비스관련 규정에 일치하는 높은 수준의 FTA 체결을 지향함으로써 다자주의를 보완하고, FTA를 통해 국내제도의 개선 및 선진화까지를 도모할 필요가 있다. 이 모든 노력에도 불구하고 FTA가 성공적으로 추진되기 위해서는 무엇보다도 FTA의 추진에 따른 교역 증진 효과를 분석하여 FTA 추진과정의 투명성을 제고하고, FTA 추진과정에서 전문가의 의견을 최대한 반영할 필요가 있다.

• 국제지역연구
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• 제22권3호
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• pp.67-84
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• 2018

본 연구는 BS(Balassa-Samuelson)효과가 장기 실질환율 변화를 설명할 수 있는지를 실증적으로 분석하는 데 있다. 이를 위해 1995년부터 2015년까지 OECD 25개 회원국(기준국 미국 제외)을 대상으로 패널자료를 구축하고 단위근 및 공적분검정을 통해 자료의 안정성을 검토하여 공적분 관계가 존재할 경우 추정모형을 설정하여 장기균형식을 추정하였다. 관련 변수들에 대한 패널 단위근 및 공적분검정을 실시한 결과 실질환율을 제외한 모든 변수들이 단위근을 가지고 있어 불안정적 시계열로 나타났으며 관련 변수들 간에 공적분 관계 즉 안정적인 균형관계가 존재하는 것으로 분석되었다. 동태최소자승법(Dynamic Ordinary Least Square, 이하 DOLS) 및 오차수정모형(Error-Correction Model, 이하 ECM)을 이용해 장기균형식을 추정한 결과 대체로 이론에서 예측하는 BS효과를 얻었으나 그 효과는 크지 않은 것으로 분석되었다. 특히 노동생산성이 실질환율에 직접 미치는 효과는 작았거나 통계적으로 유의하지 않았다. 그러나 교역재에 대한 비교역재 상대가격은 통계적으로 유의하게 실질환율에 영향을 미쳤으며 이론이 예측하는 바와 동일했다. 상대노동생산성이 상대가격에 미치는 효과는 분명하지 않았다. 한편 교역조건을 설명변수에 포함하여 추정한 결과 이론에서 예측하는 바와 동일한 결과를 얻었으며 모두 통계적으로 유의한 수준에서 교역조건이 실질환율 변화를 설명하는 데 중요한 변수라는 결과를 도출했다.

• Journal of Korea Trade
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• 제24권6호
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• pp.157-172
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• 2020

Purpose - This research empirically proves the extent to which export insurance promotes Korean exports to research object countries among New Southern countries. The outcome of this research will present implications for the operations of export insurance for exports to these countries. Design/methodology - For the empirical analysis, the export equation was composed using a basic gravity model. Based on this, the determinants of Korea's exports to research object countries were analyzed. In this study, a panel unit root test and panel cointegration test were conducted. As a result of the panel unit root test, it was confirmed that the variables of the panel data are not belonging to I(0), but to I(1). As a result of the panel cointegration test, it was established that there are long-term stable relationships among all variables. Accordingly, the gravity model was estimated using original data in order to reduce the information loss caused by the first difference, in spite of individual data belonging to I(1). Findings - For the estimated results of panel OLS, the estimated coefficient of short-term export insurance was 0.56-0.64, with statistically significant results at the significance level of 1%. In addition, for the analysis results of the random effect model, the estimated coefficient of short-term export insurance was 0.59-0.64%, with a statistically significant result at the 1% significance level. This could indicate that Korean export insurance has positive influences on export promotion to New Southern countries. Originality/value - The research implies that export insurance has a 4.1 to 4.7 multiplier effect in expanding exports to the New Southern countries for Korea. This research has intensively analyzed the effects of export insurance on the promotion of exports to a selected area by a government foreign economic policy, which is the originality and value of this paper.

• 분석과 대안
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• 제7권3호
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• pp.181-230
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• 2023

본 연구에서는 현대화폐이론(Modern Monetary Theory)의 실증적 타당성을 평가하기 위해 OECD 국가의 연간 패널자료(2000~2022년)를 이용하여 패널 공적분 분석을 수행하였다. 구체적으로 OECD 가입국을 대상으로 주권화폐(sovereign currency) 보유 여부에 따라 국가그룹을 나눈 후, 각 그룹별로 국가부채 또는 재정적자 비율과 국채이자율 간의 장기균형 관계, 즉 공적분 관계를 검정 및 추정하였다. 실증분석 결과를 정리하면 다음과 같다. 통합 평균-그룹(pooled mean-group) 추정법을 통한 패널 공적분 추정 결과, 유로존 또는 고정환율제 그룹과 같은 비주권화폐국에서는 국가부채 및 재정적자 비율이 국채이자율과 장기적으로 유의한 양(+)의 상관관계를 가지는 반면, 비유로존 또는 변동환율제 그룹과 같은 주권화폐국의 경우에는 음(-)의 상관관계를 가지거나 유의한 관계가 나타나지 않았다. 특히 비주권화폐국에서 국가부채 비율은 장기뿐만 아니라 단기적으로도 실질 국채이자율과 유의한 양(+)의 상관관계를 가지는 것으로 나타났다. 이러한 결과는 국가부채 또는 재정적자 비율과 국채이자율 간의 관계에 대한 현대화폐이론의 예측과 부합하는 것이며, 따라서 동 이론의 실증적 타당성을 지지하는 하나의 근거가 될 수 있다.

• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.165-176
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• 2021

The paper has used the Solow-Swan growth model to analyze the long-term impact of credit market development and stock market development on economic growth in Asia from 2000 to 2019. The empirical model is performed with panel cointegration analysis by Common Correlated Effects (CCE) method with cross-sectional dependencies. The results find that there exists a cointegration relationship among stock market, credit market development, and economic growth. These results also show that financial structure improves the exact impact of financial development on economic growth, namely the opposite effect of stock market development and credit market development. Moreover, the Granger causality test reveals a bi-directional relationship between credit market development and economic growth, while only unidirectional causality from stock market development to economic growth for the whole group panel. And it is different for a specific country, according to Kónya's test. The view of the new structuralism does not apply in the Asian financial system when we estimate the Nonlinear Autoregressive Distributed Lag model (NARDL) to analyze the asymmetric relationship between financial structure and economic growth. On the whole, policymakers can draw on the findings to provide policy implications to improve their country's financial system as well as pursue the goal of sustainable economic growth.

• The Journal of Asian Finance, Economics and Business
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• 제9권4호
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• pp.173-183
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• 2022

The objective of this research is to examine the influence of the COVID-19 pandemic on stock markets in a few developing and developed countries. This study uses daily data from January 2020 to May 2021 and obtained from World Health Organization and Thomson Reuters. The secondary data was evaluated through panel econometric methodology that includes different unit root tests, and to analyze the long-run relationship between variables, panel cointegration techniques were applied. The long-run causality among variables was examined through Panel Vector Error Correction Model. The overall findings of this study suggest a long-run association exists between several cases and death with the stock returns of the GCC and other stock markets. Furthermore, the VECM model also identified a long-run causality running from COVID cases and death towards the stock rerun of both sets of stock markets. However, a subsequent Wald test yielded mixed results, indicating no short-run causality between cases and deaths and stock returns in both groups; however, in the case of GCC, several COVID-19 cases are having a causal impact on stock markets, which is notable in light of the fact that the death rate in GCC is significantly lower than in many developed and developing countries.

• 한국항만경제학회지
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• 제27권3호
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• pp.135-146
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• 2011

오늘날 물류산업은 인수 합병을 통해 거대기업으로 전환되고 있으며, 세계물류시장에서의 경쟁은 점차 치열해지고 있다. 이에 우리나라 정부는 글로벌 경쟁력을 갖춘 물류기업으로 육성하기 위하여 관련기업들의 수직적 또는 수평적 통합을 추진하고 있다. 이의 일환으로 종합물류기업 인증제도를 시행하여 동북아 물류시장의 중심지화 전략을 추구하고 있다. 그런데 종합물류기업의 경쟁력에 있어서 효율성은 대단히 중요한 비중을 차지한다. 이에 본 고는 대형물류기업에 초점을 두고 효율성을 도출한 후 효율성에 영향을 미치는 요인을 식별한다. 토빗분석을 통해 자산, 자본금, 종업원 수의 증가가 효율성을 증가시킨다는 것과 자산의 영향력이 가장 크다는 것을 보인다. 또한 패널분석을 통해 자산, 자본금, 종업원이 매출액 증가에 긍정적 영향을 미친다는 것도 보인다. 이러한 패널분석결과가 장기분석과 부합하는가를 조사하기 위하여 패널공적분벡터를 이용하여 그룹공적분벡터가 양의 부호로 유의하다는 것과 자산과 종업원의 영향력이 별다른 차이를 보이지 않은 패널분석에 비해 장기에서는 상당한 차이를 보인다는 것을 밝힌다.

• Asian Journal of Business Environment
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• 제10권4호
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• pp.21-27
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• 2020

Purpose: The present study examines the effects of tourism on carbon dioxide emissions for selected South Asian economies over the time from 1995 to 2016. Research design, data and methodology: The present study is an annual time series analysis of tourism and CO2 emissions. The data is taken from World Development Indicators, an official data bank of World Bank. The study sample covers four South Asian countries, namely Bangladesh, India, Pakistan, Sri Lanka and Nepal. The empirical analysis is conducted by employing Pedroni panel cointegration, Fully Modified OLS, and Dynamic OLS approaches of estimation. Results: Tourism significantly increases environmental degradation in selected South Asian economies. The empirical estimated results indicate, that 1 % increase in tourism related activities leads to 0.16 % increase in CO2 emissions. In addition energy consumption and GDP are also causing an upsurge in CO2 emissions in the selected panel of South Asian economies. As the empirical results indicate that 1% increase in GDP stimulates carbon dioxide emissions by 0.23%. Conclusion: In order to protect the environment, the study emphasizes that sustainable tourism practices need to be promoted in the selected South Asian countries. Policy implication and provided and discussed.