• Asia-Pacific Journal of Business
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• v.3 no.1
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• pp.29-38
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• 2012

This study aims at evaluating the impact of network formation variables and found to have positive impact on the economic performance and growth of the enterprises. The calucation of the weighted scores of networking statements brought some affirmative results to influence the performance of the enterprises. Through multiple regression and logistic regression models it is identified that network formation variables like service receiving status, consultation of the family, other business dummy and attendance in fair have some significant positive impact both on the growth and performance of the enterprises. In addition to above variables, from the set of enterprise characteristics natural logarithm of the market value of total assets and from the entrepreneurs' characteristics set of variables, schooling year and squared value of the experience have been found to have significant positive impact. Finally, it is concluded in the study that to enhance the performance and growth of the enterprises, government and policy rlated organizations need to consider important variables that have positive impact in supplying the entrepreneurial resources especially, developing the net-working relationship.

• Culinary science and hospitality research
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• v.14 no.4
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• pp.93-105
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• 2008

This study was attempted to analyze causal relations among flexibility, growth, and profitability variables, which are the financial indexes of restaurant enterprises. The samples were 24 restaurant enterprises in total, and 102 financial statements between 2002 and 2006 were analyzed. As a result of the analysis, total asset growth rate influenced all profitability variables among growth variables. Also, the net sales growth influenced return on sales and return on assets, and the assets turnover influenced return on assets and return on equity. Among flexibility variables, current ratio and interest coverage ratio to operating profit influenced return on assets, and return on equity was influenced by current ratio and debt-to-equity ratio.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.39-46
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• 2020

Playing an important role in developing the economy and overall developments of the country, commercial banks have to be aware of their crucial presence in order to perform well and contribute significantly. At the same time, as a place to receive deposits, banks are required to be in safe situations to avoid bankruptcy or deal with financial crises. This research seeks to identify the determinants of Capital Adequacy Ratio and Banks' performance as well as the relationship between these two dependent variables. The paper uses 128 observations of 16 Vietnamese commercial banks during the period from 2010 to 2017, with two simultaneous dependent variables CAR and ROE, and independent variables including Return on Assets, Tobin Q, Credit growth, GDP growth, Equity to Deposits, Loans to Deposits, Bank size, Cost to Income, Liquidity risk, Provision for Loan loss ratio, Non-performing loans and Inflation. The results reveal that Capital Adequacy Ratio and Banks' Performance have statistically significant relationship and Credit growth, GDP growth, Equity-to-Deposit ratio and Cost-to-Income ratio all have significant effects on two dependent variables. The findings of this study suggest that commercial banks should control the respective elements in order to maintain adequate level of capital and also create effective performance.

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

• Journal of the Korean Society of Safety
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• v.21 no.1 s.73
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• pp.28-34
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• 2006

A procedure of estimating failure probability is demonstrated for a pressurized pipe of CrMo steel used at $538^{\circ}C$. Probabilistic fracture mechanics were employed considering variations of pressure loading, material properties and geometry. Probability density functions of major material variables were determined by statistical analyses of implemented data obtained by previous experiments. Distributions of the major variables were reflected in Monte Carlo simulation and failure probability as a function of operating time was determined. The creep crack growth life assessed by conventional deterministic approach was shown to be conservative compared with those obtained by probabilistic one. Sensitivity analysis for each input variable was also conducted to understand the most influencing variables to the residual life analysis. Internal pressure, creep crack growth coefficient and creep coefficient were more sensitive to failure probability than other variables.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.13-19
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• 2021

To provide empirical evidence on the impact of export instability on economic growth in developing countries, this study estimated the neoclassical production function using data of the Jordanian economy for the period 1995-2019. Real exports, real capital, and export instability were the independent variables in the production function. To determine the appropriate methodology for estimating the production function, the study conducted some preliminary tests, including the Augmented-Dickey Fuller (ADF), on the study data. The results of this test indicated that all study variables were stationary at first difference. Therefore, the Johanson cointegration test was applied to determine that there was cointegration between the study variables since the results of the former test indicated that there was one cointegration vector between these variables. The cointegration equation revealed a positive and statistically significant impact of real capital, real exports, and an indicator of export instability on economic growth. The most important policy implications for these results would be reducing the geographical concentration of exports through the expansion of free trade agreements (FTA) to enhance the positive impact of the instability of exports on economic growth. Moreover, the study recommends strengthening export-oriented actions to achieve higher levels of economic growth.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.85-93
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• 2020

This study aimed to explore the impact of macroeconomic (Real GDP growth (GDPG), Inflation rate (INF)) and bank -specific variables (profitability (ROA), capital adequacy (CADEQ), non-performing loans (NPL), deposit growth (DEPG)) on the liquidity (lIQ) of 13 listed Jordanian commercial banks for the period 2011-2018. Panel data analysis, Pooled least square, fixed effects model and random effects model, Lagrange multiplier test, and Hausman test were used. The random effects model output shows that, macroeconomic variables have a significant impact on Jordanian commercial banks liquidity since inflation has a positive impact while GDPG has a negative impact on banks (LIQ). On the other hand among the bank-specific variables capital adequacy and deposit growth have a positive significant impact on banks (LIQ), while (NPL) and (SIZE) have a negative significant impact on Jordanian commercial banks liquidity. But ROA has a negative insignificant impact on (LIQ). The findings of the study suggest that commercial banks departments need to pay attention to the economic and internal variables of banks in order to maintain acceptable levels of liquidity.

• Journal of Korea Planning Association
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• v.54 no.3
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• pp.15-26
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• 2019

The development of science and transportation technology leads to the increase of inter - city networks that play an important role in urban growth. Overall, numerous studies based on network theory pay attention to positive effects of urban network on urban growth. However, some studies have pointed out the negative effects of inter-city interactions such as straw effects. This implies that the network between cities may not be positively correlated with urban growth, and that the direction of the influence may vary from a certain threshold, such as the marginal utility curve. In this context, the purpose of this study is to measure the impacts of network with central city on urban growth in the capital region and examine the relationship between urban network and growth. Two multiple regression models are employed with changes in population and employment as dependent variables. The urban network index and other control variables are used as independent variables. Especially, the urban network indexes are used in quadratic forms to examine non linear relations with urban growth such U-shape or an inverted U-shape. The results show that the relationships between networks with the central city and urban growth are not a simple linear, and the influence can be changed from the critical point.

• International Area Studies Review
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• v.21 no.1
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• pp.201-219
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• 2017

This paper analyzes the economic effects of the S&T Innovation, R&D, human resources and investment on the economic growth using 18 countries. We have obtained the somewhat mixed results on the existence of unit root roots in variables. While most of Pedroni cointegration tests show that there are no panel cointegration among the variables, Kao cointegration test shows that there is the panel cointegration among the variables such as GDP, human capital, R&D investment and patent. Kao cointegration test result shows that human capital, R&D investment, patent economic growth seem to have the panel cointegration or the long-run relationship among them as a whole. The estimation results of individual OLS and panel estimation show that the human capital, R&D investment and technology innovation or patent had positively significant effects on economic growth or GDP.

• Korean Journal of Culture and Social Issue
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• v.28 no.2
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• pp.163-186
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• 2022

The study was conducted to reveal the influence of variables causing post-traumatic growth and suggest ways to utilize it in the counseling and clinical field. Data from 208 youths in Korea were collected and analyzed using the SPSS 25.0 and AMOS 26,0 statistic programs. This study took the perspective that post-traumatic growth was affected by the balanced- time-perspective and social-connectedness and tried to examine the influence and relation of the two variables. A frequency-analysis was performed to identify the demographic characteristics and the trends of the variables, and a Pearson's -correlation analysis was conducted to examine the relations between variables. A hierarchical- regression- analysis was performed to examine the influence of the major variables, And path-analysis was carried out to verify the research model, and the indirect effect was confirmed by using the bootstrapping method. First, religion, among all demographic variables, showed a significant effect on the post-traumatic growth. Second, the balanced-time-perspective and social-connectedness had a significant effect on post-traumatic growth. Third, the balanced time perspective influenced social-connectedness and through this process, the path explaining how post traumatic growth occurs was revealed. This suggests that the both balanced time perspective and social connectedness are important for inducing post- traumatic growth, and the utility of the variables in the counseling and clinical field.