• 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.8 no.2
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• pp.809-820
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• 2021

The study aimed to investigate the impact of sectoral bank credit facilities provided by commercial banks on the non-oil economic growth in Saudi Arabia. Bank credit facilities are given for nine economic sectors: agriculture, manufacturing, mining, electricity and water, health services, construction, wholesale and retail trade, transportation and communications, services, and finance sector. The study employs annual data from 1970 to 2019. The study employs the Autoregressive Distributed Lag (ARDL) approach to identify the long-run and short-run dynamics relationships among the variables. The main results reveal that the overall impact of total bank credit has a significant and positive effect on non-oil economic growth in KSA. The results revealed that the effect of bank credit on the non-oil GDP growth in the short and long run was uneven. The study finds that all sectors have a positive and significant impact in the long run, except for the agricultural and mining sectors. Likewise, all sectors have a positive and significant impact in the short run, except for construction, finance, services, and transportation & communications. As a result, bank credit facilities in different sectors have played an important role in enhancing the non-oil economic growth in the KSA.

• Knowledge Management Research
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• v.13 no.5
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• pp.139-160
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• 2012

Win-win growth between large companies and small and medium enterprises (SMEs) become a critical encomic and social issue in Korea. Korea government has been attempted to establish strong policy to build right win-win relationship between large companies and SMEs. Along with this strong drive from Korea government, a variety of strategies that enhance win-win relationships between large companies and SMEs have been adopted. Win-win growth policy is expected to provide positive impact on sustainable competitive advantage of firms. Therefore, many studies have focused on the win-win growth policy success factors, type of the policy, and the results of the policy. Although there is much literature on the win-win growth policy, the effects of win-win policy on firm value is not well understood. We addressed this issue by exploring how win-win growth policy influences a firm's market value using event study methodology. We evaluated the cumulative abnormal returns for win-win growth policy announced by Korean large firms from 2004 to 2012. The results of this study insisted that the announcements of win-win growth policy show negative impact on firm's market value, which is not consistent with previous studies. The findings of this study offer insights that may help government policy makers and managers to revise their policy for better outcomes of their win-win growth policy.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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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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• v.9 no.1
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• pp.167-176
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• 2022

By analyzing the impact of oil prices on economic growth, this study has shown a new insight into the link between oil price inflation and economic growth. The primary goal of this study is to determine if oil prices are pro-growth or anti-growth. To provide empirical proof, the series data for both the core and control variables from 1972 to 2020 was used to justify the association on empirical grounds. To account for the presence of a unit root, the Augmented Dickey-Fuller Test was used, and after making the series compatible for co-integration, the Autoregressive distributed lag model was used to determine the empirical estimate. Additionally, the empirical models were used to diagnose heteroscedasticity and autocorrelation. The reference point model reveals that in developing nations like Pakistan, economic growth is anti-growth with an increase in prices, and it responds negatively to economic growth in the long and short run. As a result, oil price inflation in Pakistan fails to have a significant beneficial impact on economic growth in both the long and short run, but it does raise the general price level in the economy.

• Asian Journal of Business Environment
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• v.9 no.2
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• pp.5-15
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• 2019

Purpose - The present study endeavours to investigate the impact of intellectual capital (IC) and its components on corporate sustainable growth in India. In addition, this study aims to find out the most influential component of IC on corporate sustainable growth in India. Research design, data, and methodology - A sample size of top 139 NSE listed non-financial companies over a time period of five years has been used in this monograph. The impact of intellectual capital and its components on corporate sustainable growth has been examined using the longitudinal data analysis technique. Results - The findings of this study bring to light that intellectual capital (IC) as measured by the M-VAIC model demonstrates a significant impact on corporate sustainable growth. Considerably, the results also reveal that almost all the explanatory variables viz. Physical Capital, Relational Capital, Innovation Capital, and Process Capital exercise notable influence in explaining corporate sustainable growth. Moreover, the results demonstrate Innovation Capital (controlling the effect of Physical Capital) represents the most influential component of IC on corporate sustainable growth. Conclusions - The research findings show that in the Indian context, both physical capital, and IC (overall), as well as its components, play a crucial role to explain corporate sustainable growth.

• Journal of Environmental Impact Assessment
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• v.20 no.4
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• pp.455-464
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• 2011

The purpose of this study is to clarify correlations between soil environments and the growth of trees in forests and thereon analyze effects of seasonal changes in such environments on such growth. To determine seasonal factors of soil affecting the Tree Vitality of Pinus thunbergii, first of all, the study designated the Tree Vitality as a dependent variable and soil hardness, moisture, pH, K, Na, Mg and Ca as independent variables. Then the study performed Pearson's coefficient analysis. To clarify what soil factors influence the seasonal growth of Pinus thunbergii multiple regression analysis is carried out, and findings are as follow; the growth of Pinus thunbergii was basically influenced by pH, followed by soil hardness in spring, K, followed by moisture in summer, and by soil hardness in winter. However, no soil factors affected the vitality at the significance level of 5% for t.

• Journal of Korean Society for Quality Management
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• v.41 no.1
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• pp.1-14
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• 2013

Purpose: The purpose of this research was to investigate the spread pattern of Korean legal certification systems and their impact on industry performance. Methods: It first analyzes the life cycle of legal certification systems and classifies them into four categories based on the spread patterns in a chronological view. A survey study is then conducted to find out the impact of legal certification systems on financial performance. Both the legal mandatory certification systems and the legal voluntary certification systems are included in the survey. Results: Four spread patterns of legal certification systems are sustainable growth, stagnation after growth, decrease after growth, and repetition of growth and declination. 56% of 293 certified corporations responded positively about the financial impact of their certification systems. Conclusion: The policy makers can utilize the results of this study in designing additional certification systems as well as promoting the current legal certification systems.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.693-702
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• 2020

The present study aims to investigate the impact of tourism growth on human development in Indian economy. For this purpose, the study uses annual data from 1980 to 2018 and utilizes two proxies for tourism growth - tourism receipt and tourist arrivals - and uses human development index calculated by UNDP. The study uses control variables such as government expenditure and trade openness. The study employs auto regressive distributed lag (ARDL) approach to investigate the cointegrating relationship among the variables in the model. Further, the study also explores the causal nexus between tourism sector and human development by using the Toda-Yamamoto Granger non-causality test. The result of ARDL bounds test reveals the existence of cointegrating relationship between human development indicators, government expenditure, trade openness, and tourism sector growth. The cointegating coefficient confirms a positive and significant relationship between tourism sector growth and human development in India. The causality result suggests that economic growth and tourism have a positive impact while trade openness has a negative impact on human development in India. The major findings of this study suggest that tourism plays an important role in the socio-economic development of Indian economy in recent years and the country must develop this sector to achieve sustainable development.

• Toxicological Research
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• v.26 no.4
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• pp.301-313
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• 2010

Growth promoters including hormonal substances and antibiotics are used legally and illegally in food producing animals for the growth promotion of livestock animals. Hormonal substances still under debate in terms of their human health impacts are estradiol-$17\beta$, progesterone, testosterone, zeranol, trenbolone, and melengestrol acetate (MGA). Many of the risk assessment results of natural steroid hormones have presented negligible impacts when they are used under good veterinary practices. For synthetic hormonelike substances, ADIs and MRLs have been established for food safety along with the approval of animal treatment. Small amounts of antibiotics added to feedstuff present growth promotion effects via the prevention of infectious diseases at doses lower than therapeutic dose. The induction of antimicrobial resistant bacteria and the disruption of normal human intestinal flora are major concerns in terms of human health impact. Regulatory guidance such as ADIs and MRLs fully reflect the impact on human gastrointestinal microflora. However, before deciding on any risk management options, risk assessments of antimicrobial resistance require large-scale evidence regarding the relationship between antimicrobial use in food-producing animals and the occurrence of antimicrobial resistance in human pathogens. In this article, the risk profiles of hormonal and antibacterial growth promoters are provided based on recent toxicity and human exposure information, and recommendations for risk management to prevent human health impacts by the use of growth promoters are also presented.