Journal of Security and Sustainability Issues

The prime objective of the current study is to examine the influence of infrastructure of transportation on economic growth for various countries in ASEAN. This influence differs in terms of administrative status and quality of infrastructure across the counties. GDP has been used as an economic growth measure in terms of per worker along with various kinds of infrastructure of transportation for years 2002–2017. Therefore, a short model has been incorporated with capital stock of railways and roads. Two variables have been incorporated to differentiate rods with different covering and quality. In the next step, the administrative status of roads has been distinguished. The results have revealed difficulty in interpretation because of the problem of endogeneity and reverse causality. Therefore, the research model was modified by including the lag values of variables of infrastructure of transportation for getting robust estimates. The unit root test has been performed and first differences in model ere used to obtain stationary time series. It was found that GRP per worker is greatly influenced by overall roads stock. This is because of the use of such roads for large traffic load. The regional growth of economy is greatly influenced by the light covering roads rather than national roads of similar quality/covering. The influence of local government’s quality was controlled on development of economy. The turnout of voters was used as proxy variable for the local government’s quality. It was found that the influence of infrastructure of transportation stock in the areas (where government is of better quality) has not much influence on GRP per worker. Different kinds of infrastructure of transportation have been shown by this research being the drivers of growth of economy in. The administrative status and quality of covering roads creates an influence on the growth of economy. Based on the findings of study, the following recommendations have been made. There is need to develop national roads to improve the economic performance. Further, there is need to improve the quality of countries. However, the influence of infrastructure transportation is high where the government has low quality and overall capital stock influence is high where the government is of good quality (Crescenzi, Cataldo, & Rodríguez, 2016). In future, researches can be conducted by focusing on the influences of other variables of infrastructure including electricity lines, supply of water and for long time periods. The future studies can work on investigating the network effect of transportation infrastructure in ASEAN.

This paper examines the impact of public spending on ASEAN-5 countries economic development. The purpose of this study is to provide evidence, reference and contribute to the knowledge about government spending and economic growth. This study involves ASEAN-5 countries. The countries are Thailand, Singapore, Indonesia, Philippines and Malaysia. The countries are chosen because there is a lack of study of government expenditure for ASEAN-5 countries using panel data. The data covers from year 1990 to 2014. The data is retrieved from the World Development Indicators (World Bank). The dependent variable is gross domestic product (GDP). GDP is used to measure economic growth. The main independent variable is government expenditure. The other independent variables are gross capital formation, portfolio investment, labor, trade, total reserve and gross savings. A clear understanding about inter-linkages between government spending and economic growth will help the government in making better decision for the country. As ASEAN countries have responsibility for ASEAN Economic Community (AEC) Blueprint 2025 to meet its objectives, ASEAN governments are expected to effectively monitor the public spending as fiscal instrument in stimulating economic growth. Government expenditure may become unproductive if misallocating and using it in excess. From this study, there is evidence that government expenditure has impact on economic growth. Future research is expected to expand the investigation to other composition of government spending such as education, defense and infrastructure expenditures instead of using general government final consumption expenditures.

This research study has given important implications for regulators through elaborating the association between economic growth, financial openness among the five member countries of ASEAN including Philippines, Indonesia, Thailand, Malaysia, and Singapore. An insight has been provided about the relation of economic growth and trade openness from the practical aspect in ASEAN economies. Therefore, the policy makers are supported through this information to develop, overview, and revise the existing regulations and policies of financial openness. This research study has made significant contributions through analyzing the association between economic growth and financial openness from the theoretical aspect. The study has argued that the current literature is extended by this study through focusing on the developing economies of ASEAN. Banking sector is a crucial institution for any economy and economic growth is negatively influenced through collapse of the banking activities. Further, financial system comes at risk through financial openness, but it has a considerable role in the development of economies. The financial system liberalization is the main factor, which drives economic growth among the ASEAN countries. There is need for the policy makers to review and alter the existing regulations of financial openness.

The objective of this study is to examine the effect of business size, market value of equity, required rate of return, systematic risk, debt ratio and total debt along with inflation on cost of capital for selected firms in five states of ASEAN region. Secondary data is collected during the time of 2000–2017 for ten firms in each country. Findings through regression analysis indicates the fact that significant determinant for fixed payment ratio is required rate of return, size, market to book ratio, systematic risk, and inflation are significant determinant. For interest covered ratio, key determinants are required return, total debt, and market to book ratio, size, and inflation. For dividend payment, size, debt ratio, inflation, and market value of equity. For interest payment, systematic risk, inflation, log market value of equity, size and market to book ratio are found to be significant determinant. These findings are providing a new insight in the literature of finance and financial management. Both theoretical and practical significance of the study can be viewed through provision of literature discussion and empirical findings. Policy makers, financial analysts, and other industry experts can utilize these findings as a meaningful source for strategic decision. However, future studies can be reconsidered remaining countries in ASEAN region and better sample size of the firms.

The objective of this empirical research is to analyze the risk-return through financial ratios as determinants of stock price in ASEAN region. To address this purpose, business firms from Malaysia, Indonesia, Thailand and Singapore are selected with a sample of 10 firms in each state over 2012 to 2016. Multiple regression technique is applied to analyze the relationship between financial ratios and stock prices. It is observed that current ratio, quick ratio, assets growth, return on assets, return on equity, return on capital employed, and price to earning ratio are significant determinants of stock price. Although this study is a reasonable addition in existing literature of financial ratios as determinants of stock price. However, contribution of the study can be viewed through covering a gap from the context of ASEAN region, which is under reserachers attentions for stock price determinants. Core limitations of the study covers limited number of sample size and five years of time duration. Besides, some ratios are missing which can be reconsidered in upcoming studies. These ratios include debt ratios, interest payment ratios, and fixed cost covered ratios as well.