• 무역학회지
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• 제44권3호
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• pp.15-24
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• 2019

The study conducted an empirical analysis of the impact of FDI on economic growth in four Asian countries: China, India, Vietnam and Korea. With panel data for the 1990-2017 period, the research model was developed for foreign direct investment (FDI), export amount (EX), government expenditure (G), exchange rate (EXR), and labourable population (L). The panel analysis results show that the increase in FDI, exports, government expenditure, labourable population significantly increased economic growth. The comparison analysis for each country revealed that FDI, exports and government expenditure significantly affect economic growth in China, that exports and government expenditure significantly affect economic growth in Korea, that FDI significantly affected economic growth in Vietnam, and that the increase in the workforce contributed to economic development in India. This paper characterized the different factors of economic growth in the four Asian countries. These results suggest that setting economic priorities to suit the specific economic conditions of each country is a shortcut to more efficient economic growth.

• 한국항만경제학회지
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• 제23권4호
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• pp.49-69
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• 2007

본 연구의 목적은 한국의 항만물류산업의 성장회계분석을 통하여 경제성장의 기여요인을 분석하는 것이다. $1990{\sim}2003$년간 항만물류산업은 전 산업 평균에 비하여 총요소생산성과 노동의 기여도는 높고 자본스톡 기여도는 낮다. 외환위기 전후로 항만물류산업의 성장 패턴은 크게 변화하였다. 외환위기 이전, $1990{\sim}1998$년간 항만물류산업의 경제성장률은 14.1%로 전 산업 평균 경제성장률 7.7%보다 크게 높고 그 주된 기여요인도 자본스톡과 총요소생산성으로 나타나지만 이들의 기여도는 전 산업 평균에 미치지 못하였다. 외환위기 이후, $1998{\sim}2003$년간 항만물류산업의 경제성장률은 5.4%로 전 산업 평균(10.1%)에 크게 미치지 못하였고 경제성장에 대한 기여도는 자본스톡 13.1%, 노동 57.0%, 총요소생산성(성장률) 29.9%로 노동에 의존한 성장패턴이 총요소생산성의 성장률 저하와 함께 경제성장률을 격감시키는 결과를 초래하였다.

• 한국인구학
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• 제11권1호
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• pp.32-49
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• 1988

The social conditions in Koreas until 1950s were similar to the model phenomena of low level eqilibrium trap which was named by Prof. Nelson, with the continuation of high population growth rate and low economic growth rate. To escape from the trap, Korean government adopted two different policies, one is economic development plans and the other is family planning programs. Theses policies were successful in both increasing the national products and decreasing the population growth rate. In 1985 per capita GNP increased to over two thousand dollars, fertility rate reduced to replacement level(2.1) and unemployment rate was stabilized at 4 percent level. From various prospects, we were successfully escaped from the Malthusian trap and many economists, who studied developed countries, belive that population growth has positive effects on technological progress, economies of scale, specialization, individual attitude on work, and economic growth. Therefore we need to reexamine the anti-natalistic population policy of Korea in this situation.

• 한국콘텐츠학회논문지
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• 제13권6호
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• pp.236-245
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• 2013

본 연구는 노인자살증가의 원인을 파악하기 위해 거시적인 측면의 관점에서 노인자살률과 사회 경제적요인의 관련성을 분석하였다. 노인자살의 이론적 배경은 사회학적 관점과 경제학적 관점에 기초하여 설명하였다. 노인자살률의 경제적 요인에는 경제성장률과 실업률 그리고 노인의 경제활동참가율과 상대적 빈곤율(소득불평등율)을 포함하며, 사회적 요인의 범주에 속하는 변수로는 사회복지지출비, 이혼율, 그리고 고령화비 증가율과 노인부양비를 포함한다. 주요 연구결과로는 첫째, 노인의 경제활동참가율이 낮을수록 노인자살률이 높아지는 경향이 있었다. 둘째, 사회복지지출비가 낮을수록 노인자살률이 증가하는 것으로 나타났다. 셋째, 상대적 빈곤율, 고령화비 증가율, 그리고 노인부양비는 공히 이들이 증가할수록 노인자살률도 동시에 증가하는 것으로 나타났다. 끝으로 한국노인자살률의 지속적 증가를 예방하기 위해서 거시적 차원의 사회 경제적 정책방안을 제언하였다.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2000년도 추계 학술대회(The 2000 Autumn Conference of korea Technology Inovation Society)(한국기술혁신학회)
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• pp.346-356
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• 2000

This paper aims to analyse the relationship between R＆D investment and economic growth in Korea. The analysis result shows 38 percent of average economic growth rate(7.1%) of Korea between 1976 and 1998 was achieved by the growth of Total Factor Productivity (TFP), and the R&D investment during the period contributed in achieving the economic growth rate by as much as 9.86 percent. In the process of the estimate, the rate of return of the R&D investment from both government and private was calculated as 47 percent. The relationship between private R&D investment, government R&D investment and the GDP was also investigated, and it was estimated that the private sector invested 2.0 percent of the GDP in R&D during the period, and was found that 1 won of government R&D investment induced 0.202 won of private sector's R&D investment. However, the time-lag effect, which is naturally believed to exist between the R&D investment and the economic growth, could not be analysed in a mathematical form, because of the lack of the data to establish this relationship. However, this paper believe that the time-lag effect in this relationship was included implicitly by using the data of 23 years.

• The Journal of Asian Finance, Economics and Business
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• 제7권2호
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• pp.143-149
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• 2020

Low inflation and sustainable growth have been the major macroeconomic goals being pursued by every developing country, Vietnam inclusive. The effect of inflation on economic growth has been intensively analyzed by a variety of studies, but the empirical evidence more often than not remains controversial and ambiguous. One common hypothesis of previous studies is that they have assumed that the effect of inflation on growth is symmetric. The main purpose of this study is to investigate the asymmetric effect of inflation and money supply on economic growth using the Nonlinear Autoregressive Distributed Lag approach introduced by Shin, Byungchul, and Greenwood-nimmo (2013) for Vietnam over the period 1990-2017. Empirical results provide evidence that the effects of inflation on economic growth are negative and asymmetric in the long run. The impact of money supply on growth is positive in both the short-run and long-run. Accordingly, the impact of the increase in the inflation rate is bigger than the decreasing in the long-run. This different impact is significant and high inflation will destruct economic activities. As a result, the study provides empirical evidence for the authorities to plan monetary policies and control the rate of inflation to achieve sustainable economic development in the long-run.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.55-66
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• 2021

The purpose of this study is to analyze the relationship and effects of variables both directly and indirectly (e.g., investment (INV), government expenditure (GE), unemployment rate (UR), economic growth (EG), and income inequality). The analytical phases consist, first, to transform the data using the Log Natural (Ln) method. Second, to check normality and multicollinearity of data. Third, to test direct effects of variables (government expenditure and investment effect on the unemployment rate and economic growth; investment on government expenditure; economic growth on unemployment rate; economic growth and unemployment rate on income inequality). Fourth, to test indirect effects using Sobel test, which involves UR and EG as intervening variable. Fifth, to test hypotheses with p-value < 0.05. The results of the study reveal that, of the 12 relationships, statistics show that 11 variations of the association have significant positive and negative effects. Theoretically, the different characters and goals of GE and INV in each country will have a different impact on EG and UR goals. The study provides an input, especially for the government. To create optimal EG through GE and INV, it is necessary to allocate budgets to industrial sectors that can absorb a massive labor force and to new economic growth sectors.

• 기술혁신연구
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• 제7권2호
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• pp.1-20
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• 1999

This paper investigates the effects of various R&D investments on economic growth empirically. To this end, the relationships between various R&D investments and economic growth are analysed, and the rates of return of R&D investments are estimated. Furthermore, the effect of government R&D investment on private sector R&D investment, and the effect of social factors, which affect the relationship between the R&D inputs and economic growth, are analysed. Based on the results of this analysis, a simulation model is developed, which shows the relationship between R&D investments and economic growth rate; this model is verified by analysing the correlation between the actual and the estimated economic growth rate, using the data between 1981 and 1995 of eight selected countries. The validation results show that the simulation model has sufficient accuracy to be used for evaluating and proposing R&D policies for the countries for which appropriate data is available. However, the time-lag effect, which is naturally believed to exist between the R&D input and the economic growth, could not be analysed in a mathematical form, because of the lack of the data to establish this relationship. Thus, when estimating the relationship between them, the time-lag effect in this relationship was included implicitly by using the data of fifteen years.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.43-52
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• 2020

This paper examines how macroeconomic variables, such as interest rate differences, inflation, exchange rates, economic growth and external debt growth, affect capital flight in the ASEAN-8 countries. We apply a panel data model with fixed effect estimation for the data for eight countries from the period 1994 to 2018. We use the residual approach used by the World Bank to measure the value of capital flight. The results show that the interest rate differences, exchange rates, economic growth and foreign debt growth had a positive and significant effect on outward capital flight. A further implication of this finding is that the interest rate differences, exchange rate, economic growth and foreign debt growth are factors that trigger an increase in capital outflow in the ASEAN-8 countries. Nonetheless, inflation rate is not considered to be the main factor influencing capital flight, as average inflation in the ASEAN-8 countries remains relatively stable. This paper will be beneficial for policymakers in the ASEAN-8 countries and encourage them to constantly pay attention to these four variables, as they significantly influence capital flight, whereas they can disregard the impact of the inflation variable that is not significant in influencing capital flight.

• 무역학회지
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• 제46권6호
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• pp.191-209
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• 2021

In this paper, various time series analysis models and machine learning models are presented for long-term prediction of export growth rate, and the prediction performance is compared and reviewed by RMSE and MAE. Export growth rate is one of the major economic indicators to evaluate the economic status. And It is also used to predict economic forecast. The export growth rate may have a negative (-) value as well as a positive (+) value. Therefore, Instead of using the ReLU function, which is often used for time series prediction of deep learning models, the PReLU function, which can have a negative (-) value as an output value, was used as the activation function of deep learning models. The time series prediction performance of each model for three types of data was compared and reviewed. The forecast data of long-term prediction of export growth rate was deduced by three forecast methods such as a fixed forecast method, a recursive forecast method and a rolling forecast method. As a result of the forecast, the traditional time series analysis model, ARDL, showed excellent performance, but as the time period of learning data increases, the performance of machine learning models including LSTM was relatively improved.