• 한국결정성장학회지
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• 제9권4호
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• pp.417-423
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• 1999

Detailed description of the crystal growth methods permitting one to obtain complicated shape crystals from the melt is given. The variable shaping technique provides the growth of crystals with a discrete altering cross-section configuration during crystallization. The dynamic local shaping technique enables one to grow items with a continuous alteration of the side surface profile by a preset program.

• 한국결정성장학회:학술대회논문집
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• 한국결정성장학회 1996년도 The 9th KACG Technical Annual Meeting and the 3rd Korea-Japan EMGS (Electronic Materials Growth Symposium)
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• pp.139-156
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• 1996

The phase field model is becoming the model of choice for the theoretical study of the morphologies of crystals growth from the melt. This model provides an alternative approach to the solution of the classical (sharp interface) model of solidification by introducing a new variable, the phase field, Ø, to identify the phase. The variable Ø takes on constant values in the bulk phases and makes a continuous transition between these values over a thin transition layer that plays the role of the classically sharp interface. This results in Ø being governed by a new partial differential equation(in addition to the PDE's that govern the classical fields, such as temperature and composition) that guarantees (in the asymptotic limit of a suitably thin transition layer) that the appropriate boundary conditions at the crystal-melt interface are satisfied. Thus, one can proceed to solve coupled PDE's without the necessity of explicitly tracking the interface (free boundary) that would be necessary to solve the classical (sharp interface) model. Recent advances in supercomputing and algorithms now enable generation of interesting and valuable results that display most of the fundamental solidification phenomena and processes that are observed experimentally. These include morphological instability, solute trapping, cellular growth, dendritic growth (with anisotropic sidebranching, tip splitting, and coupling to periodic forcing), coarsening, recalescence, eutectic growth, faceting, and texture development. This talk will focus on the fundamental basis of the phase field model in terms of irreversible thermodynamics as well as it computational limitations and prognosis for future improvement. This work is supported by the National Science Foundation under grant DMR 9211276

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.165-170
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• 2021

This paper examines the long-run relationship between financial development and economic growth. The effective function of financial development is crucial to promote the economic development of the country. To achieve the objective, this study used Gross Domestic Product as a dependent variable and Credit to The Private Sector, Ratio of the Gross Fixed Capital Formation to GDP, Trade, Consumer Price Index and Labour Force as an independent variable. Augmented Dickey-Fuller test statistic (ADF) to check the stationary. Bounds test for cointegration and Auto-Regressive Distributed Lag Models (ARDL) are used to check cointegrating relationship amongst the variables and causality between financial development and economic growth. Moreover, the Model selection method is Akaike Info Criterion (AIC). This result demonstrates that the labor force and trade hold a significantly negative relationship with economic growth. Nevertheless, inflation, Credit to The Private Sector, and Ratio of the Gross Fixed Capital Formation to GDP show a significantly positive relationship with economic growth. Therefore, there is a statistically significant relationship between Financial Development and Economic growth in Sri Lanka and the Sri Lankan government should reform its trade policies.

• 유통과학연구
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• 제20권11호
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• pp.79-88
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• 2022

Purpose: The purpose of this study was to determine the effect of agricultural exports and imports on economic growth in Bangladesh and propose an upgraded and customized model of the supply chain for agribusiness growth in Bangladesh to achieve plain sailing and systematic operation and financial gains at home and abroad. Research design, data, and methodology: All data in the research have been collected from secondary sources. Gross domestic product was used as the dependent variable and exports and imports of agricultural products were used as independent variables. Pairwise Granger causality was utilized to see the impact of the variable responsible for the economic growth in Bangladesh and the causal relationship between the variables analyzed was measured using Johansen co-integration test. Results: From the empirical analysis, the researchers observed that agricultural commodity imports and exports have a unidirectional impact on economic growth in Bangladesh and a long-run causal link with economic growth in Bangladesh. The suggested supply chain model of agribusiness aids in achieving smooth operations, systematic management, and monetary gains both domestically and internationally. Conclusions: This paper contributes to the development of a more effective and profitable agribusiness supply chain in Bangladesh systematically through their theoretical and practical implications.

• Asian Journal of Business Environment
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• 제13권2호
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• pp.21-28
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• 2023

Purpose: This study aims to analyze the determinants of Green Total Factor Productivity (Green TFP) growth in the agricultural sector in Indonesia from 1980-2018. Research design, data, and methodology: The growth of Green TFP in the agricultural sector is calculated using the Growth Accounting Method. Moreover, this study uses multiple linear regression to analyze the determinants of the growth of Green TFP in the agricultural sector in Indonesia. Results: The survey results show that the average growth of Green TFP in the agricultural sector in Indonesia is still negative, which indicates that the efficiency of production factor or mastery of technology is still low. Inflation and patent applications are variables that significantly affect the growth of Green TFP in the agricultural sector, where the inflation variable has a negative effect. In contrast, the variable growth of patent applications has a positive impact. Conclusions: The government needs to continue to improve efficiency by organizing various programs related to increasing mastery of technology in the agricultural sector. The government also needs to advance research and development by promoting patents to become research incentives and impact the improvement of new technologies, especially those related to the environment. Moreover, economic stability needs to be maintained through inflation control.

• 한국작물학회지
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• 제50권4호
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• pp.247-255
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• 2005

ice yield and plant growth response to nitrogen (N) fertilizer may vary within a field, probably due to spatially variable soil conditions. An experiment designed for studying the response of rice yield to different rates of N in combination with variable soil conditions was carried out at a field where spatial variation in soil properties, plant growth, and yield across the field was documented from our previous studies for two years. The field with area of 6,600 m2 was divided into six strips running east-west so that variable soil conditions could be included in each strip. Each strip was subjected to different N application level (six levels from 0 to 165kg/ha), and schematically divided into 12 grids $(10m \times10m\;for\;each\;grid)$ for sampling and measurement of plant growth and rice grain yield. Most of plant growth parameters and rice yield showed high variations even at the same N fertilizer level due to the spatially variable soil condition. However, the maximum plant growth and yield response to N fertilizer rate that was analyzed using boundary line analysis followed the Mitcherlich equation (negative exponential function), approaching a maximum value with increasing N fertilizer rate. Assuming the obtainable maximum rice yield is constrained by a limiting soil property, the following model to predict rice grain yield was obtained: $Y=10765{1-0.4704^*EXP(-0.0117^*FN)}^*MIN(I-{clay},\;I_{om},\;I_{cec},\;I_{TN},\; I_{Si})$ where FN is N fertilizer rate (kg/ha), I is index for subscripted soil properties, and MIN is an operator for selecting the minimum value. The observed and predicted yield was well fitted to 1:1 line (Y=X) with determination coefficient of 0.564. As this result was obtained in a very limited condition and did not explain the yield variability so high, this result may not be applied to practical N management. However, this approach has potential for quantifying the grain yield response to N fertilizer rate under variable soil conditions and formulating the site-specific N prescription for the management of spatial yield variability in a field if sufficient data set is acquired for boundary line analysis.

• 재무관리연구
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• 제24권2호
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• pp.1-40
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• 2007

본 연구의 목적은 기업재무론 분야의 실증연구에서 많이 사용되는 성장기회 대용변수를 새롭게 개발하고, 이를 투자-성장기회-현금흐름 민감도분석에 활용하는데 있다. 기존 연구에서 성장기회의 대용변수로 흔히 Tobin's Q, MBR, 매출액증가율 등이 사용된다. 본 연구에서는 기업의 내재가치 평가모형에 입각한 성장기회 가치를 추정하고, 성장기회 가치비중(VGO)을 성장기회의 대용변수로 채택하여 기존 연구의 전통적인 대용변수들과 종합적으로 비교하였다. IMF 외환위기 이후 기업의 투자부진이 우려되고 있는 2000년 이후 2005년 기간 중 기업투자와 성장기회 간의 관계를 분석한 결과를 정리하면 다음과 같다. 첫째, 전통적인 성장기회 대용변수들과 새로 제안하는 성장기회 대용변수 VGO를 모두 동시에 채택한 투자-성장기회-현금흐름 회귀분석 모형에서 검증해 본 결과, VGO만이 통계적으로 유의한 양(+)의 투자민감도를 갖는 것으로 나타났다. 새 성장기회 대용변수 VGO를 채택하면, 여타 전통적인 대용변수의 설명력이 없어지는 것으로 나타났다. 따라서 국내외 선행연구에서 기업의 성장기회를 대변하는 변수로 일반적으로 선정되어왔던 전통적인 대용변수인 Tobin's Q, MBR, 매출액증가율은 성장기회에 관한 적절한 대용변수가 되지 못하는 것으로 해석된다. 둘째, 투자-성장기회 민감도분석에 있어서 투자결정요인으로서 성장기회는 시설투자증가율에 양(+)의 효과를 갖고 있으며, 이와 같은 성장기회를 가장 잘 대변해 주는 대용변수는 미래투자의 수익성(성장기회 수익률 추정치)에 기초하여 추정한 VGO 변수인 것으로 해석된다. 셋째, Tobin's Q의 3가지 구성요인 중 VGO(미래수익성을 대변)만이 유일하게 통계적으로 유의한 양(+)의 민감도를 보였다. VAIP(기존투자의 수익성을 대변) 및 VMS(기업가치의 과대평가오류) 변수들의 추정계수 값은 통계적으로 유의하지 않았다. 이는 기업은 기 투자하고 있는 사업의 가치가 크다고 해서 투자증가를 하지 않으며, 기업가치가 시장에서 과대평가되어 현재 투자에 대한 가치평가가 시장에서 높게 형성된다고 해서 투자를 증가하지 않는다는 것을 의미한다. 따라서 기업의 투자증가는 미래투자의 수익률과 그에 기반을 둔 미래투자의 성장가치에 근거하여 투자를 증가시키는 것으로 판단된다.

• 대한기계학회논문집A
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• 제35권10호
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• pp.1299-1306
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• 2011

본 연구에서는 측정된 균열 데이터를 토대로 변동하중 하에서의 균열성장모델 변수들을 베이지안 모델변수 추정 방법을 통해서 확률적인 분포로 구하는 방법을 제시하였다. 모델변수의 확률분포를 구하기 위해 Markov Chain Monte Carlo (MCMC) 샘플링 방법을 이용하였다. 변동하중 하에서는 균열성장 모델이 더욱 복잡해 짐에 따라 기존의 MCMC 기법으로는 확률분포를 잘 구하지 못하므로 주변확률밀도분포를 제안함수로 사용하는 MCMC 기법을 새롭게 제안하였다. 모델변수의 추정을 위해 여러 크기의 일정 진폭 하중 하에서 시편시험을 수행하여 얻은 균열성장 데이터를 이용하였다. 추정된 변수들을 사용하여 변동하중 하에서의 시편에 대해 균열성장 예측을 수행하였고, 이를 실제 시험 데이터를 통해서 검증하였다.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.699-705
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• 2020

This study aims to examine the antecedent factors of debt policy on the influence of firm growth on firm value. There was a total of 19 companies involved accounting for 95 observational data from a population of 169 companies listed on the Kompas 100 Index of the Indonesia Stock Exchange from 2014 to 2018. The data were analyzed through descriptive statistics, classic assumption tests, multiple regression, and hypothesis testing. The results prove that the firm growth, proxied by asset growth or sales growth, did not have a significant influence on the debt policy. Further, there was no significant influence of debt policy on firm value when using debt ratio and also dividend policy as a control variable. In contrast, there was a positive and significant influence on the firm value when using debt to equity ratio proxy, both with or without using the control variable. Therefore, the debt policy was not proven as an antecedent on the influence of firm growth on firm value. This finding implies that there was a tendency for the company management to adopt the policy, which would increase the debt ratio to increase the investors' confidence in the stock market and investors neglect the company's dividend policy.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.717-725
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• 2020

The purpose of this paper is to highlight the impact of the performance of private wealth management (PWM) on the growth of retail banking in Indonesia. The variables used are bank's competitiveness, risk management, performance of private wealth management, and growth of retail banking business. The data were collected from 60 respondents from 32 banks over five months, from October 2018 to March 2019. Using partial least square path modeling, the analysis shows that the performance of private wealth management has an impact on the growth of retail banking sector in Indonesia. Bank competitiveness and risk management affect the performance of personal wealth management and have an impact on the growth of the retail banking business. Bank competitiveness is the variable that most influences the performance of private wealth management in Indonesia. This research found that market share is the most significant indicator of bank competitiveness. For risk management, significant indicators are the level of bank confidence, increased bank competitiveness, and the creation of new products. In the performance of the private wealth management variable, the most significant indicator is the revenue fee-based income. For the growth of retail banking business, a clear indicator is profit growth.