• Health Policy and Management
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• v.26 no.4
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• pp.271-278
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• 2016

Background: This study purposed to analyze the relationship between regional obesity rates and regional variables. Methods: Data was collected from the Korean Statistical Information Service (KOSIS) and Community Health Survey in 2012. The units of analysis were administrative districts such as city, county, and district. The dependent variable was the age-sex adjusted regional obesity rates. The independent variables were selected to represent four aspects of regions: health behaviour factor, psychological factor, socio-economic factor, and physical environment factor. Along with the traditional ordinary least square (OLS) regression analysis model, this study applied geographically weighted regression (GWR) analysis to calculate the regression coefficients for each region. Results: The OLS results showed that there were significant differences in regional obesity rates in high-risk drinking, walking, depression, and financial independence. The GWR results showed that the size of regression coefficients in independent variables was differed by regions. Conclusion: Our results can help in providing useful information for health policy makers. Regional characteristics should be considered when allocating health resources and developing health-related programs.

• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.11-22
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• 2014

This study purposed to analyze the regional variation of the local-out rates of inpatient services. Multiple data sources collected from National Health Insurance Corporation and statistics Korea were merged to produce the analysis data set. The unit of analysis in this study was city, Gun, Gu, and all of them were included in analysis. The dependent variable measured the local-out rate of inpatient cost in study regions. Local environments were measured by variables in three dimensions: provider factors, socio-demographic factors, and health status. Along with the traditional ordinary least square (OLS) based regression model, geographically weighted regression (GWR) model were applied to test their effects. SPSS v21 and ArcMap v10.2 were applied for the statistical analysis. Results from OLS regression showed that most variables had significant relationships with the local-out rate of inpatient services. However, some variables had shown diverse directions in regression coefficients depending on regions in GWR. This implied that the study variables might not have consistent effects and they may varied depending the locations.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.131-141
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• 2020

This study examines the poverty indicators in Northeast region of Thailand by adopting the global Multidimensional Poverty Index (MPI) methodology and the national survey of Minimum Basic Needs (MBN) of Thailand. Data are collected from three different districts in Khon Kaen province namely: Khok Po Chai, Sam Sung, and Nam Pong. The sample size is 187 households. Data analysis uses Ordinary Least Square (OLS) regression approach and includes 7 dimensions of poverty (health, environment, education, economy, Thai value, asset? empowerment, and digital literacy) with a total of 41 indicators. This study has found that poverty indicators in Khon Kaen province remains centered around the aspects of health and employment dimensions. While a change of family structure in the Thai society since 1960s reduces the family size, household saving substantially increases over the years. The effects of health dimension in poverty, on the other hand, appears on the other poverty dimension of Thai value, which include (1) a bad living habit of head of household (smoke or alcohol consumption) that links with illness and disease, (2) religious practice, and (3) chronic illness. Lastly, there are income gaps of different careers in the area, which suggests the issue of income inequality.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.95-102
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• 2020

The purpose of this study is to test both the alignment theory and entertainment theory on family firms listed on the Pakistan Stock Exchange. To achieve these goals, we collected secondary data from 164 non-financial family firms in various sectors during 2014-18. These family firms are classified into two categories: family control firms and family owned firms. We take the audit fee and the audit quality as dependent variables while family control firms, family-owned firms, and family CEOs as independent variables. In addition, the study uses leverage, profit and export as control variables. To test the effect of the explanatory variables on the output variables, we use two econometric models, Ordinary Least Square and the Probit regression model. In addition, Huber Sandwich test is used to check the non-normality and heteroscedasticity of panel data. Contrary to the alignment effect, the study supports the entrenchment effect and advocates that family-controlled firms as well as family-owned firms are not conscientious regarding the selection of external auditors during their contracts with audit firms. They are less likely to pay high audit fees for good quality audit in Pakistan. Furthermore, the study shows a statistically significant and positive relationship between audit quality and audit fees.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.747-757
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• 2020

This study investigates the impact of bank regulation and supervision on the efficiency of banking sectors on 108 Islamic banks from 26 countries offering Islamic banking and finance products and services. The technical efficiencies of individual Islamic banks have been analyzed using the data envelopment analysis method (DEA). The ordinary least square estimation method is employed to examine the impact of country supervision and regulation on the technical efficiency of Islamic banks. The empirical findings suggest that supervisory power, activity restrictions and private monitoring positively influence the efficiency of Islamic banks. The study revealed that Islamic banks that are operating in Middle East and North Africa (MENA) and middle-income countries are more technically efficient given the less stringent rules on capital requirement and we found that there is statistically significant evidence that higher capital requirements are negatively associated with the efficiency of Islamic banks. The empirical findings of this study are expected to help policy-makers and government officials to better understand how their decisions affect the performance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.315-326
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• 2020

This study aims to test empirically whether the ASEAN Corporate Governance Scorecard (ACGS) has a positive effect on Sustainability Reporting (SR) and whether the ACGS and Sustainability Reporting (SR) have a positive effect on Firm Value (FV). The study was conducted in five ASEAN countries - Indonesia, Malaysia, Singapore, Philippines, and Thailand from 2014 - 2017. The research sample was collected from companies with the ACGS data and obtained with the help of 359 company observations. Hypothesis testing was performed using the Ordinary Least Square (OLS). The results of the study do not support all hypotheses. The ACGS has no effect on sustainability reporting. The ACGS has a significant negative effect on firm value, while sustainability reporting has a negative and insignificant effect on firm value. The ACGS and sustainability reporting are not good news for investors. This research's limitation is that companies rarely disclose the final value of the ACGS in their annual reports, so this research uses content analysis. The weakness of content analysis is the researchers' subjectivity so that the point of view between researchers is different. Besides, sustainability reporting for several ASEAN countries is voluntary, so not all companies can be sampled, which ultimately affects interpretation.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.629-639
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• 2020

The current study explains how corruption, terrorism, political stability and oil price has an effect on on the Iraq stock exchange utilizing corruption perception index as a proxy of corruption, global terrorism index as proxy for terrorism, political stability and oil price with ISX60 index as proxy of stock market for the period (2005-2019) using Ordinary Least Square method. The results show that the level of corruption, terrorism activities and political stability coefficient is significantly positive with Iraq stock exchange. In contrast, the oil price coefficient is significantly negative with Iraq stock exchange, which means that lower levels of corruption, less terrorism activities and more stability in political system have strong influence on stock market development in Iraq. The study concludes that the explanatory variables are important for Iraq stock exchange. Hence, the study suggests the policy makers to develop stock market by implementing policies and strategies to overcome high level of corruption, terrorism activities especially after ISIS/ISIL announcement has been made public. There is a need for transparency and creating stable political environment through good governance practices in order to attract more foreign investment and promote economic development. Factors like terrorism and corruption make economic and political systems unstable and has an adverse effect on on Iraq's stock exchange performance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.471-480
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• 2020

In Indonesia, micro-, small- and medium-sized enterprises (MSMEs) are introduced to increase income by providing many easier jobs to improve economic growth. They have also been reported to be generally supportive of the local industry. The government policies on investment and expenditure have the ability to promote MSMEs and economic growth. Therefore, this research was conducted to analyze the theoretical background and empirical study to investigate government's role to promote MSMEs growth in Indonesia. The secondary data after the 2008 global financial crisis recorded quarterly from 2009 to 2019 Q3 were analyzed using the Ordinary Least Square (OLS) regression model. The results showed government expenditure has a positive and significant contribution to small- and medium-sized enterprises, but the effect was not significant for micro-businesses. Meanwhile, the investment sector was discovered to have a positive and significant effect on MSMEs. The policy implications of the Indonesian government are expected to focus on its expenditure's role as the most important factor for "social-economic protection of the community" through micro-enterprises, which are numerous and more attached to the real community economic-social life. Therefore, the existence of micro-businesses is very helpful for the lower classes despite their high vulnerability to crisis.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.119-128
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• 2020

The aim of this paper is to investigate the level of intellectual capital disclosure (ICD) in commercial banks listed on the Indonesian Stock Exchange. This paper also observed the effects of ICD and corporate governance mechanism on market value. This study uses content analysis techniques to measure ICD. The paper provides a novel approach to measure the ICD quality in developing countries using a four-numerical coding system. Secondary data were obtained from the financial statements and annual reports of the banks for the period 2011-2014. The data from 31 banks were analyzed using ordinary least square regression. The study reports that the quality of intellectual capital disclosure in Indonesian commercial banks increase steadily. Narrative disclosure dominates the report of intellectual capital in Indonesian banks. The results indicate that the size of audit committee, frequency of audit committee meeting, and intellectual capital disclosure affect positively the market value. Overall, the results indicate intellectual capital disclosure is associated with the market capitalization; these findings indicate that the ICD is a consideration in a stock investment decision. While regulations in Indonesia regarding intellectual capital reporting are not conclusive yet, the information needs of stakeholders have encouraged companies to expand voluntary disclosure.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.621-652
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• 2012

Software Estimations provide an inclusive set of directives for software project developers, project managers, and the management in order to produce more realistic estimates based on deficient, uncertain, and noisy data. A range of estimation models are being explored in the industry, as well as in academia, for research purposes but choosing the best model is quite intricate. Estimation by Analogy (EbA) is a form of case based reasoning, which uses fuzzy logic, grey system theory or machine-learning techniques, etc. for optimization. This research compares the estimation accuracy of some conventional data mining models with a hybrid model. Different data mining models are under consideration, including linear regression models like the ordinary least square and ridge regression, and nonlinear models like neural networks, support vector machines, and multivariate adaptive regression splines, etc. A precise and comprehensible predictive model based on the integration of GRA and regression has been introduced and compared. Empirical results have shown that regression when used with GRA gives outstanding results; indicating that the methodology has great potential and can be used as a candidate approach for software effort estimation.