• Asia-Pacific Journal of Business
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• v.7 no.2
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• pp.61-76
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• 2016

This study aims to establish ways of how languages are used as determination factors for investment decisions among Asian countries where used languages are diversified. According to the analysis result, language segmentation of the investing country increases investment whereas the language segmentation of the invested countries is analyzed as the decreasing factor of investment. Also, it is analyzed that the further the linguistic distance between the investing country and the invested country the more investment increases. In the aspects of approached language distance and investment time selection, along with the increased linguistic distance, the elasticity to foreign direct investment is apprehended to be more flexible than other forms of investment. Such result shows the more segmented the languages of the targeted invested country the more investment cost will increase and therefore the results in linguistic distance can be explained as diversification of the invested country and the result to the forming of bridgehead at the invested area.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.845-853
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• 2021

The stock market shows the current health of an economy, and investment performance represents it. This study aims to clarify the relationship between financial behavior and investment decisions as well as its impact on investment results. Determine the influence of behavioral factors on individual investors' investment decisions and investment performance on the Vietnam stock market. The study surveyed 250 investors. The main analytical methods used are Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). Research results show that Heuristic, Prospect, Market, and Herding directly and positively affect investment decision-making. Besides, the above factors have a direct and positive effect on investment performance. In particular, the Prospect factor has the strongest influence on investment decision-making and investment performance. The major findings of this study suggested that the important role of Heuristic, Prospect, Market, and Herding on Investment Decision-making and Investment Performance. Prospect had the strongest impact on Investment decision-making (β = 0.275). Heuristic had the second strongest impact (β = 0.257), then Herding (β = 0.202), and finally Market (β = 0.189) had the weakest effect. Regarding Investment Performance, the Prospect factor has a higher degree of impact than Heuristic Herding and Market.

• The Journal of Fisheries Business Administration
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• v.34 no.1
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• pp.31-44
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• 2003

The purpose of this study is to investigate empirically interaction among the financing decision, investment decision, and profitability by using 41 fisheries corporations in Korea, and to suggest implications of the empirical results for government's financial policy for fisheries corporations. Sample period is 19 years from 1982 till 2000. This analysis method employs the two stage least squares(2SLS) estimation method. From the results of regression analysis by 2SLS estimation method, the adjusted $R^2$ values were high and the overall F values indicated significant. The empirical results of this study are as follows; (1) determinant factors of capital structure model for fisheries are profitability, firm-size, fisheries investment of total asset, and business risk. As pecking order theory explains, the higher is profitability the lower is debt ratio. The larger firm-size, the higher is debt ratio. The higher is fisheries investment of total asset and business risk, the higher is debt ratio. (2) determinant factors of investment model for fisheries are the change of sales, business risk, and debt ratio. These factors have positive relation to fisheries investment of total asset (3) determinant factors of profitability model for fisheries are fisheries investment of total asset and debt ratio. These factors have negative relation to profitability. On the basis of analysis results, on the government's financial policy for fisheries corporations, I suggests that with interest rate reduction, the government should lend more funds to solve the crisis in the financial structure of the fisheries firms

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.595-605
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• 2021

The objectives of this research are to see if the phenomena of "demand following" and "supply leading" exist in the business cycle, as well as to look at how liquidity and output react to changes in credit risk, investment-saving gap, inflation, exchange rate, and growth rate of real national output. Employing quarterly data of Maluku and North Maluku (2008-2019), this study utilizes VAR/VECM for inferential analysis. This research found three important findings. First, liquidity and output growth influenced each other in the long run. Second, the determinants of output growth for Maluku are liquidity, investment-saving gap, and inflation, while the determinants of liquidity are output-growth, the gap of investment-saving, and inflation. Third, the determinants of output growth for North Maluku are liquidity, credit risk, investment-saving gap, inflation, exchange rate, and the national output-growth, while the determinants of liquidity are output-growth, credit risk, investment-saving gap, inflation, exchange rate, and national output-growth. The findings of this study supported the hypothesis of demand following and supply leading theory in the Maluku and North Maluku business cycles. This study concludes that economic development would improve if supported by liquidity adequacy through increased deposit growth.

• Journal of Korea Trade
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• v.24 no.6
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• pp.37-60
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• 2020

Purpose - The purpose of this study is to investigate the direct and indirect impact of innovation space factors on the growth of semiconductor enterprises. Design/methodology - This empirical study uses the financial statements of 83 semiconductor listed companies in 23 provinces from 2004 to 2019 approved by CSRC (2019). A stepwise regression and backward regression are employed in order to examine the role of innovation space to expand technology investment in promoting business growth and uses South Korean Samsung's investment in China as a test case. Findings - Results indicate that innovation space, technology input, geographical area, owner's background, operating years and financing liabilities all contribute to a boost in business growth. Factors such as carbon emission, financial liberalization, government efficiency, technology input, and financing liabilities further influence management growth. Innovation space follows a nonlinear pattern, and this plays a positive role in magnifying the influence of technology on management growth. Additionally, operations of the state-owned companies and expansionary financing enterprises are influenced by the external economy. Regarding the spatial distribution, the Samsung investment in 24 companies in China shows that Samsung focuses on the acquisition of scarce resources for semiconductor production as a component of its investment and innovation strategy. Originality/value - Even though prior research has considered the concepts studied here, this study contributes to empirically evaluate the direct impact of innovation space on business growth, and the indirect impact of innovation space on business growth through technology investment. This study includes an in-depth discussion of the practical effects that innovation space has on China's economy, using a case of South Korean Samsung's investment in China as a test the empirical findings.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.13 no.1
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• pp.81-110
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• 2002

The temporary tax deduction on investment cutting the corporate income tax within 10% of the amount of investment is aimed at stimulating the investment for economic activity. 25 business sectors are applied to this tax law and in tourism, the accommodation registered by tour promotion law and international convention plan business belong to it. I'd like to mention the problem of the temporary tax deduction on investment amount for hotels and suggest better solutions. This tax law is so temporary applied that we shouldn't get tax deduction after June 30, 2002. So, we can't get income tax deduction on the investment out of the available period. And further more this tax law has a rule not real investment but solely new project investment for hotels. There are numbers of difference between real investment and new project investment. The amount of investment is based on an object of acquisition taxation. And also there are numbers of difference between real investment and an object of acquisition taxation. For example, landscape construction is a great part of hotel construction but it's not an object of acquisition taxation. For running hotel business, we also need lots of equipments such as linens utensils for restaurant and decorations for hotel interior. But these are also excluded from this tax law. As you know, these equipments can be regarded as product equipments in manufacture industry. Therefore we should take the specificity of hotel investment into consideration and expand the role of the temporary income tax deduction on investment amount for hotels.

• Asia pacific journal of information systems
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• v.27 no.4
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• pp.233-244
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• 2017

IT portfolio, meaning the ratio of investment with four different purposes of IT, is widely used for evaluating the adequacy of investment and its performance within firms. Despite of such a useful framework looking at investment on IT, IT portfolio in agriculture industry seems to be differentiated from other industries. In this study, we compared IT portfolios of farms: grain, field fruit and vegetable, greenhouse fruit, greenhouse vegetable, beef cattle and pig. We classified farms by their return on equity (ROE) in order to analyze the relationship between IT portfolio of each crop and performance. Then, we found patterns of IT portfolios of top-performance farms compared to all farms for each agricultural product. Lastly, peculiarities of each crop are interpreted and discussed to find out top-performance farms' IT investment patterns. From our study, it could be inferred that monotonous IT investments may not be as effective.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.169-178
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• 2021

This research aims to test, firstly, how the disclosure of corporate social responsibility (CSR) helps to moderate the effect of family ownership on investment efficiency; secondly, how CSR disclosures mediate the effect of corporate governance on investment efficiency. STATA was used to analyze archival data collected from a total sample of 210 manufacturing companies listed on the Indonesian Stock Exchange (IDX), which were in the family businesses category for the period of 2016-2018. The first finding is that CSR moderates the effect of family ownership on investment efficiency. This implies that family businesses are very careful about investing. They will avoid risky decisions that may increase the economic wealth, but reduce the socio-emotional wealth. To maintain socio-emotional wealth, they tend to choose an underinvestment strategy and are more concerned with the prestige and good reputation of their families and dynasties than with economic wealth. Thus, CSR disclosures can reduce the underinvestment strategy of family businesses listed on the IDX. The second finding is that CSR disclosures are able to mediate the effect of corporate governance on investment efficiency. CSR activities play a major role in decision-making, and through CSR disclosures, corporate governance has a greater effect on investment efficiency.

• Asia Pacific Journal of Business Review
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• v.6 no.2
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• pp.61-76
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• 2022

Based on the concept of advertising expenditure, manufacturing firm performance, and enterprise life cycle, this research conducts the listed Chinese manufacturing listed in 2016-2018 as the research sampling and divides these listed companies into three periods: growth, maturity, and decline. Next, this paper conducts empirical research from three aspects: advertising expenditure or investment and manufacturing firm performance, lag effect of advertising expenditure, and outcome effect and lag effect of advertising investment. It is found that in different stages of manufacturing enterprises, different advertising expenditures will have different impacts on the performance of manufacturing enterprises. In the growth stage, the advertising investment of manufacturing enterprises will significantly affect the performance results of the current period, and there will be the long-term lag effect. In contrast, the mature stage of enterprises' advertising investment has a shorter period of lag effect, while in the recession stage, the mature stage of manufacturing enterprises' advertising investment will have a shorter period of lag effect. The empirical results are not significant. This study provides a reference for manufacturing enterprises in different stages in the decision-making of advertising investment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.2
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• pp.62-68
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• 2019

The growth and employment effects of R&D investment were analyzed according to business size, export value and manufacturing sectors so as to suggest improvement directions for effective industry policies. The effect of R&D investment was considered simultaneously from the two perspectives of growth and employment effect, and the causality analysis was carried out by using a path analysis. The result of the path analysis confirmed significant differences in the growth effect of R&D investment depending on business size. However, the effect of increasing employment was difficult to obtain statistically significant results for any various combinations of business size and export value. This is a mixture of directions for the effects of R&D investment on employment, which could be due to the failure to consider appropriate time lags between investment and effect. Efficiency analysis by industry sectors confirmed significant differences in efficiency depending on business size, but differences depending on export value were difficult to identify. In order to derive improvement policy by industry sector according to business size and export value, the direction of selective support policy and universal support policy was derived for six industry groups by combining the return to scale in the efficiency analysis and R&D concentration. Hirschman-Herfindahl index is used for calculating R&D concentration.