• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.77-88
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• 2021

The stock markets in the BRICS (Brazil, Russia, India, China and South Africa) countries are the leading emerging markets globally. Therefore, it is pertinent to ascertain the critical drivers of stock market development in these economies. The currrent study empirically investigates to identify the linkages between stock market development, key macro-economic factors and institutional factors in the BRICS economies. The study covers the time period from 2000 to 2017. The dependent variable is the country's stock market development and the independent variables consist of six macroeconomic variables and five institutional variables. The study employs a panel cointegration test, Fully Modified OLS (FMOLS), a Pooled Mean Group (PMG) approach and a heterogeneous panel non-causality test.The findings of the study indicate co-integration among the selected variables across the BRICS stock markets. Long-run estimations reveal that five macroeconomic variables and four variables related to institutional quality are positive and statistically significant. Further, short-run causalities between stock market capitalization and selected variables are detected through the test of non-causality in a heterogeneous panel setting. The findings suggest that policymakers in the BRICS countries should enhance robust macroeconomic conditions to support their financial markets and should strengthen the institutional quality drivers to stimulate the pace of stock market development in their countries.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1417-1425
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• 2021

The purpose of this study is to map mineral and coal (Minerba) policies by analyzing the law and producing research novelty on mineral and coal governance policies in Indonesia with the Theory U approach. This study uses a qualitative research with the U theory approach. The results of the SNA analysis indicate that good mineral and coal governance must be carried out at various levels, from micro to macro. First, related to regulations on mineral and coal governance at the macro level. Regulations regarding the management of mineral and coal need to be carried out with a deeper evaluation related to the tax system, licensing system, increased value added and downstreaming and mineral and coal funds. The second is related to the regulation of mining management in the meso level. Third, related to the management of mineral and coal at the micro level, it is necessary to conduct more stringent supervision of the impacts caused by the mining sector of the Minerba. In addition, surveillance is also carried out as per law in order to avoid harmful behavior for both the company and the state. The originality of this research is the theory of U in the Mining Law research.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.285-294
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• 2022

Using the ARDL approach, this study examined the impact of macro factors on Vietnam's stock market in the short and long run from 2010 to 2021. The State Bank of Vietnam and the International Monetary Fund provided time series data for this study. Research results show that in the long run, money supply and exchange rate respectively affect the stock market. The money supply had a positive effect on the VN-Index, while the exchange rate showed the opposite effect. However, the study did not find a relationship between world oil price and interest rates on VN-Index in the long run. On the other hand, in the short term, there are relationships between variables; specifically, interest rates and exchange rates have a negative impact on the VN-Index, while the world oil price and the fluctuation of money supply M2 of the previous one and two months showed an impact in the same direction on this index. The differences in the regression results on the impact of exchange rate and oil price on the VN-Index compared to previous studies come from the characteristics of Vietnam's stock market, with the large capitalization of companies in the oil and gas sector, and the structure of Vietnam's economy with export heavily depends on FDI sector.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1125-1125
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• 2001

Micro-scale test methods are producing small-sample size where the conventional physical and chemical tests can not be used (high standard deviation, uncertain sampling conditions, low repeatability). Different small-scale test methods were developed recently for determination of physico-chemical, functional, rheological properties of wheat or wheat dough using miniaturized instruments with sophisticated sample preparation/handling and mechanics (RVA, 2 g mixograph, micro-Z-arm mixer, small-scale noodle maker, micro-baking method etc.). The small-scale methodologies can be used as basic research tools or as technology supported measurements and can be also essential in the early selection for quality traits in breeding programs. The milling as a sample preparation step is essential procedure providing good quality flour or semolina samples from small amount of grain (5-10 g) in a reproducible and reliable way. The aim of present study was to use NIR as quality control tool, and to evaluate the recently developed and manufactured micro-scale lab mill (FQC-2000) produced by Inter-Labor Co. Ltd., Hungary. The milling characteristics of the new instrument were compared to other laboratory mills and the effects of milling action on the chemical composition of fractions were analysed. The fractions were tested with both chemical and near infrared spectroscopic methods. The micro-scale milling resulted significantly different yields, particle size distributions and different fractions from compositional point of view. The near infrared spectra were sensitive enough to distinguish the fractions obtained by different milling procedures. Quantitative NIR calibration equations were developed and tested in order to measure the chemical composition of characteristic milling fractions. Special qualification procedure the PQS (Polar Qualification System) method was used for detecting the differences between fractions obtained by macro and micro-milling procedures. The results and the limitations of PQS method in this application will be discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3472-3477
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• 2011

Many researchers have studied to investigate causes of volatility and they have used macro economic variables. This paper defined the volatility as that of stock. Researches on the volatility of stock and corporate performances are not adequate yet. Therefore, this paper estimate the volatility and corporate performances using ROA and Tobin Q. Results show the following suggestions, first, there is negative effect on the volatility of stock when we use ROA as the corporate performances. Second, there is positive effect on the volatility of stock when we use Tobin Q as the corporate performances.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.295-302
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• 2020

The paper aims to investigate the impact of foreign direct investment (FDI) on private investment with a sample having 49 developing countries in Asia (17 countries) and Africa (32 countries) during the period of 1990-2017. Unlike previous studies, we split the data into three groups for further analysis, including the Asian, African and the full-panel samples. The results confirm a crowding-in effect which shows that foreign direct investment promotes private investment on all three research samples. Besides, the lagged private investment has a positive and significant effect on itself in the next period which reflects the inertia in the trend of private investment in recipient countries. In the full-panel sample, there are some macro factors such as GDP per capita, trade openness, and electricity that also have a positive and statistically significant impact on private investment. Besides, when more deeply estimate with smaller samples, we find that trade openness and labour force have a positive and significant in Africa, on the other hand, not in Asia. However, the domestic credit variable has a negative and significant effect on private investment only in Asian developing countries. Furthermore, there is only a positive and significant impact of the electricity variable on private investment in Asia.

• East Asian Journal of Business Economics (EAJBE)
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• v.3 no.4
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• pp.9-15
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• 2015

The exchange rate is a very important macro variable that has influence on the whole economy and has, therefore, been the topic of many discussions amongst policymakers, academics and other economic agents. The issue of whether to have a fixed, pegged or floating exchange rate regime was highly debated during the 1970s. The purpose of this paper is to investigate what factors determine the exchange rate in Somalia. Quantitative research methodology has been employed to develop regression model using time series data for the period of 12 years. The regression model has been developed based on Quantity theory of money, purchasing power parity and uncovered interest rate parity theory. Somalia is on the countries where the highest exchange rate volatility exists; for example in 2012, the rate jumped 29% percent and two weak later dropped 21%, when Turkish humanitarian aid agencies injected the market a lot of U.S dollar. Based on my study using regression model for time series data of 12 years, the four factors are mainly attributable for the exchange rate volatility of Somalia; these factors include the balance of payment, inflation rate, money supply (mostly come from remittance and NGOs) and Bank profits.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.755-767
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• 2020

The objective of this study is to examine and provide guidelines for regional governments, communities, and the private sector in planning and implementing poverty-reduction activities that are more effective, efficient, and targeted. Besides, this research's specific aims are: 1) increasing the rate of regional economic growth through optimization of potential sources of local income, 2) increasing per-capita income, and 3) reducing poverty, unemployment, and social-economic inequality of the community. The study was conducted in North Morowali District, Central Sulawesi Province, Indonesia, in 2018-2019. The research approach used quantitative and qualitative descriptive analysis. Data sources include sources from the Focus Group Discussion (FGD) and Regional Statistics. The results of this study are based on the Millennium Development Goals (MDG's) indicators that there are four priority scales in poverty reduction, namely, Health and Infrastructure (Priority I), Education (Priority II), Food stability (Priority III), and Population and Employment (Priority IV). Therefore, as a solution to poverty alleviation strategies, the cost approach through regional economic optimization and local income sources and community empowerment factors are essential. Apart from that, the involvement between elements (government, organizations, society, universities, and institutions) is expected to continue as an effort to realize poverty reduction can be optimally overcome.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.551-559
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• 2021

The maturity structure of corporate debt is one of the significant financing choices that a firm must make simultaneously while deciding how to finance its operational and investment decisions. Even though the capital structure is one of the scrutinized topics of interest in the corporate finance literature, scarce studies have investigated corporate debt maturity, even less so in the context of emerging markets. The choice of a suitable debt maturity structure is exceptionally relevant for firms. It can enable them to avoid mismatch by aligning assets in line with liabilities, addressing agency-related problems, sidestep the ill effects of cost of capital, and signaling the firms' earning quality and value. The study investigates the firm-specific and macroeconomic determinants significant for the debt maturity structure of Vietnamese corporate firms. A sample of 722 non-financial firms listed on the Ho Chi Minh and Hanoi Stock Exchange in Vietnam from 2007 to 2018 was taken to test the hypothesis. The study's methods fixed effects panel data analysis provides empirical evidence that firm size, firms' quality, liquidity, leverage, asset maturity, tax impact, and macro variables are significantly related to the debt maturity structure.

• Journal of East Asia Management
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• v.4 no.2
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• pp.39-62
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• 2023

Online and offline mixed teaching mode has become an important way to promote the connotative development of higher education. Under the background that offline teaching has become mature, in order to further promote the development of online education, and promote the implementation of the mixed teaching mode, to mix and to provide basis for the construction of the mixed teaching mode, this study takes the online learning effect as the evaluation basis, adopts the online questionnaire survey to conduct statistical analysis of the online learning behavior of 2213 college students, and discusses the differentiation phenomenon of online learning groups from the micro, meso and macro perspectives. It is found that there are significant differences in the online learning effect of college students in terms of the type of learning platform, whether the school implements the online offline mixed teaching mode, education background, grade (bachelor's degree), and region. Colleges and universities should strengthen the promotion of online and offline mixed teaching mode; The online learning platform should improve the platform function and strengthen the functional differentiation design of learning resources for students. Education departments pay attention to the learning effect of online learners in different regions, and bridge the gap in regional education.