• Asian Journal of Innovation and Policy
• /
• v.10 no.3
• /
• pp.330-354
• /
• 2021

To know the long-term growth patterns and determinants of successful startups, 15-year (2006-2020) panel data of 252 companies that had a growth rate of over 20% every year in the last three years were used. In the first analysis, statistics on the period required to designate a gazelle company or listed on the stock market were examined. In addition, five long-term growth patterns were presented. In the panel analysis, the R&D intensity, operating profit ratio, size, and age of the company were pointed out as determinants of growth. The operating profit margin and R&D intensity have a positive effect on growth. Gibrat's law was not supported, but an inverted U-shape was observed. Jovanovic's law was confirmed. Although many studies tend not to point to profitability as a determinant of long-term growth, this is an important long-term growth factor of a company. The operating profit ratio was used in this study.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.2
• /
• pp.771-781
• /
• 2021

The purpose of this study is to identify major drivers of Myanmar's long-term economic growth and draw implications to implement development policies. This study investigated Myanmar, as the country is the most recently opened economy in Southeast Asia. This study conducted simulation analysis based on scenarios by applying World Bank's Long-Term Growth Model, Penn World Table 9.1, and World Development Indicator data. This study makes extensive use of LTGM and the LTGM-TFP extension to improve the validity of models for data calibration. This study confirms the validity of the model with data calibration and specifies scenarios for simulation analyses by setting the growth trajectory of Vietnam due to common geographical, political, and economic conditions. Main findings include that Myanmar's economic growth rate will continue to fall below 3% in 2040 without proper improvement of growth drivers. The results of this study also provide that total factor productivity growth and female labor participation are key factors for Myanmar's long-term economic growth. This study advises policymakers in Myanmar to strengthen human capital, which is crucial for total factor productivity growth in Myanmar's context and directly affects economic growth. Further, labor market policies to promote female labor participation is important to sustain economic growth.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.5
• /
• pp.91-102
• /
• 2020

The study investigates the relationship between the inflation rate and economic growth to find out the optimal inflation threshold for economic growth. Therefore, this study applied an ordinary least square model (OLS) and the ordinal regression model, and collected the time-series data from 1996 to 2017 to test the relationship between inflation and economic growth in the short-term and long-term. The sample fits the model and is statistically significant. The study showed that 96.6% of correlation between inflation rate and economic growth are close and 4.5% of optimal inflation threshold is appropriate for economic growth. It finds that the optimal inflation threshold is base to perform economic growth, besides the inflation rate is positively related to economic growth. The results support the monetary policy appropriately. This study identifies issues for Government to consider: have a comprehensive solution among macroeconomic policies, monetary policy, fiscal policy and other policies to control and maintain the inflation and stimulate growth; have appropriate policies to regulate inflation to stimulate economic growth over the long term; set a priority goal for sustainable economic growth; not pursue economic growth by maintaining the inflation rate in the long term, but take appropriate measures to stabilize the inflation at the optimal inflation threshold.

• Korea Trade Review
• /
• v.46 no.6
• /
• pp.191-209
• /
• 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.

• Journal of the Semiconductor & Display Technology
• /
• v.11 no.1
• /
• pp.61-65
• /
• 2012

In this study, for use of carbon nanotubes (CNTs) as a cold cathode of x-ray tubes, we examine the effects of selective growth of CNTs on their field emission properties and long-term stability. The selective growth of CNTs was performed by selectively etching the catalyst layer which was used for CNTs' nucleation. CNTs were grown on conical-type tungsten substrates using an inductively-coupled plasma chemical vapor deposition system. For all the grown CNTs, their morphologies and microstructures were analyzed by field-emission scanning electron microscope and Raman spectroscopy. The electron-emission properties of CNTs and the long-term stability of emission currents were measured and characterized according to the CNTs' growth position on the substrate.

• The korean journal of orthodontics
• /
• v.45 no.5
• /
• pp.226-235
• /
• 2015

Objective: The purpose of this retrospective study was to investigate short-term and long-term skeletodental outcomes of Class III activator treatment. Methods: A Class III activator treatment group (AG) comprised of 22 patients (9 boys, 13 girls) was compared with a Class III control group (CG) comprised of 17 patients (6 boys, 11 girls). The total treatment period was divided into three stages; the initial stage (T1), the post-activator treatment or post-mandibular growth peak stage (T2), and the long-term follow-up stage (T3). Cephalometric changes were evaluated statistically via the Mann-Whitney U-test and the Friedman test. Results: The AG exhibited significant increases in the SNA angle, ANB angle, Wits appraisal, A point-N perpendicular, Convexity of A point, and proclination of the maxillary incisors, from T1 to T2. In the long-term follow-up (T1-T3), the AG exhibited significantly greater increases in the ANB angle, Wits appraisal, and Convexity of A point than the CG. Conclusions: Favorable skeletal outcomes induced during the Class III activator treatment period were generally maintained until the long-term follow-up period of the post-mandibular growth peak stage.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.10 no.1
• /
• pp.65-78
• /
• 1985

In this paper, the approach getting a total demand by forecasting the new demand and the replacement demand separately and adding them is used for long term forecasting of durable goods. Cross country analysis using the income as an independent variable and S-shaped growth curve as a fitting model is developed as a method of forecasting new demand. To get the replacement demand the methods using the number of ownership and the replacement rate and the methods using the past demand and the distribution of the product life are proposed. And the theoretical explannation for product life cycle's diversity, which is the one of the major considerations in the long term forecasting, is attempted by the combination of the new demand and the replacement demand patterns. This is applicated the long term forecasting of Korean passenger cars.

• Korea Journal of Hospital Management
• /
• v.13 no.2
• /
• pp.64-85
• /
• 2008

This study purports to investigate the determinant of job satisfaction among workers working at Long-term care hospitals. The independent variables contain three groups of determinants: organizational characteristics variables(job autonomy, job variety, distributive justice, role conflict, supervisor support, job suitability, job significance, job security, organizational support, job growth, promotional opportunity), environmental variables(job opportunity), and psychological variables (met expectation, job efficacy, positive affectivity, and negative affectivity). The sample used in this study consisted of 250 workers from 4 Long-term care hospitals nationwide. Data were collected with self-administered questionnaires and analyzed using multiple regression analysis. The results of the study are as follows: 1) the following variables, listed in order of size, have significant effects on job satisfaction: negative affectivity(-), job significance(+), job growth(+), age(+), positive affectivity(+), organizational support(+), job opportunity(-). 2) the variance of job satisfaction explained by the variables used in the study are 53.8%. When demographic variables added to Model I, job satisfaction explained by variables are 55.4%. 3) the results of this study indicate that three variables of negative affectivity, job significance, job growth are especially important for improving the level of job satisfaction among workers at Long-term care hospitals.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.12
• /
• pp.271-282
• /
• 2021

In recent years, a significant number of empirical studies have examined the relationship between export and economic growth in India. However, this study analyses the relationship between exports and economic growth through the time series model. The main aim of this study is to investigate the causal relationship between exports and economic growth in India. The VAR model was used for the period 1961 to 2015 after verifying the stationarity of the variables through using Augmented Dickey-Fuller and Phillip-Perron tests. The Indian export sector has been found to have a significant and positive impact on economic growth and other long-term economic activities. The study also employed the Granger causality test to check the direction of causality and found that RXGS, RGDP, RPFC, and RGFC had a unidirectional relationship and RXGS and RMGS had a bidirectional relationship in long run. Also, the findings of this study suggest that a steady-state between exports and economic growth can be achieved in India over a long period. The overall outcome of this study provides a testimony of the fact that the export sector plays a vital role in economic growth in India and also leads to the long-term growth of other economic activities.

• 한국해양학회지
• /
• v.30 no.2
• /
• pp.138-146
• /
• 1995

Present study was performed to describe the growth of Leptochela gracilis (STIMPSON, 1860), the dominant species of the coastal water near Kanghwa Island, Korea. Samples were collected from 1 sampling point by long bag seine net at monthly interval from April 1993 to January 1994 except for August 1993. In the population study of Leptochela gracilis, ovigerous female has appeared from April to September 1993 and the ratio (egg-bearing female/female) showed over 70% from May to July 1993. Female individuals were predominant from May 1993 to January 1994 and it was found that sex ratios were not significantly different between pregnant and non-pregnant period(p>0.05). The population of Leptochela gracilis was divided into 2 types of generation; i) short term generation. and ii) long term generation. Longevity of the long term generation was presumed to vary from 12 to 15 months. In the case of short term generation, spawned by egg-bearing stock of September, however, it was not certain whether they absorbed in the long term generation, thus overcome winter season or die after December by environment factors. The growth in cavalcade length of the long term generation was better fitted to Pauly and Gaschutz model than Von Bertalanffy.