• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.69-81
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• 2021

The aim of this paper is to identify the key determinants in the Gulf Cooperation Council (GCC) countries for Foreign Direct Investment (FDI) inflows by using a balanced data panel for the period from 1995 to 2018. This study covers GCC countries in their entirety. The study uses ten explanatory variables, namely, trade ratio, gross domestic product, external balance, fuel exports, gross savings, international tourism, military expenditure, net foreign assets, services value added, and total natural resources. The authors have tried to find the best fit model from the differences methods considered such as OLS, GLS regression with the help of Hausman test, and country by country regressions as additional analysis. The study revealed a significantly positive association between inflation, trade ratio, gross domestic product, gross savings, and net foreign assets with FDI. On the contrary, international tourism was revealed to have a negative association with FDI. The sample of all GCC countries chosen for this study has not been considered widely by any earlier study. Moreover, this study covered many determinants of FDI that add to the previous literature. It is a significant contribution to the current research body and stresses the originality of this paper.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.615-626
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• 2020

The purpose of this study is to analyze the determinants of risk factor model for the Jordanian banking stocks from 2006 to 2018. This study employs the Five-factor Fama and French's (2015) methodology and uses the annual returns of all Jordanian banks including 2 Islamic and 13 commercial banks listed on the Amman Stock Exchange (ASE) over a period of 13 years. The results show that the factors of value and profitability have an important role in evaluating the expected return in Jordanian banking stocks. Moreover, the value HML and profitability RMW factors provide the highest cumulative returns among these five factors, while the investment CMA and size SMB factors are still around zero cumulative returns. For the market factor, it provides the least negative cumulative returns. The results showed that the largest correlation is between value and investment factors which means that banks with a high book to market value become banks with a conservative investment strategy. The result of the sub-periods confirmed the value and profitability results. The findings of this study suggest that the five-factor Fama and French model is the choice of building an investment portfolio, especially the factors of value and profitability.

• The Journal of Fisheries Business Administration
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• v.22 no.1
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• pp.77-100
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• 1991

This study has made an attempt to analyze the determinants of Foreign Direct Investment (FFI) by Korean Fishery firms. The questionaire survey on individual firm's recognition and the determinants of Foreign Fishery Investment (FFI) was performed, yielding the following results. First, the main object of FFI is to reserve fishing ground. The result of the statistical analysis shows that import ratio for domestic market (DOM) is a significant variable of FFI. These two facts indicate our FFI is resouree-oriented in terms of the object and motive. Second, FFI is primaily determined by firm-related factors rather than country- related factors. The significant variable in firm-related factfors is the number of departments of the investing firm (DEPT). Another notable result is that fishing fee is not an influential variable in FFI decision.

• KDI Journal of Economic Policy
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• v.36 no.4
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• pp.33-69
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• 2014

We investigate determinants of fund investment flows using Korean equity investment funds. Unlike previous studies which analyzed net-flows (inflow minus outflow), we analyze fund investment inflows and outflows separately that should properly reflect investors' fund selection and redemption decision. We find similar effects of past return, fund age on net-flows to existing studies based on US market data. The analysis of determinants of inflows shows that inflows are related to past return, fund age and sales fee as net-flows. In contrast, outflows are found to behave quite differently from inflows. Apparently, asymmetry exists between fund investment inflows and outflows at the Korean fund selection market. Specifically, high past returns increase fund investment inflows while increase, rather than decrease, fund outflows. Moreover, 'convexity' is detected both in inflows and outflows: higher past returns accelerate outflows as well as inflows. Effects of sales fee also differ between inflows and outflows. In the 'affiliated' fund sample, sales fee is negatively related to inflows while positively related to outflows. In the 'unaffiliated' fund sample, sales fee is positively related to inflows, but no significant relationship exists with outflows. Empirical findings of this paper imply that the rational investor's fund selection view cannot provide a consistent explanation of the Korean fund selection market. In particular, the positive and convex relationship between past returns and fund outflows is inconsistent with the rational investor view. The fact that investor's fund investment appears to display 'disposition effect', which has been reported by studies of individual investors' stock investment behaviour suggests that the behavioral finance view should be a part of explanation for the Korean fund selection market. In addition, the strikingly different patterns between the 'affiliated' funds and the 'unaffiliated' funds, imply that brokers' incentive structure is another prevailing factor for fund investment flows.

• Clean Technology
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• v.17 no.2
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• pp.181-188
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• 2011

In this study, the complementary or crowding-out effects of public R&D subsidy on private R&D investment in the cleaner production were analysed between the effects and the major determinants (company size, R&D investment intensity, ratio of government investment, R&D manpower intensity). Among 207 firms' projects, the number of the complementary effect was 95 (45.9%) while that of crowding-out effect was 38 (18.4%). Resulting from logistic regression, the higher the R&D investment of sponsored companies is, the more complementary effect they show, responding to public R&D subsidy, and increase own R&D investment. The other determinants, however, showed no significant effects on firms' R&D investment. To heighten the effect of public cleaner production R&D, it is need to increase the priority of R&D investment intensity among the determinants. And to increase the performance of governmental R&D investment, further studies for the individual public R&D programs are necessary.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.191-197
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• 2020

OFDI is one of the key issues around the world in the development of economics, in 2013, Chinese President Xi JinPing proposed "One Belt One Road" initiative on conference of Asia-Africa international conference with its core policy as (Outward Foreign Direct Investment).With the steady development of China's "One Belt One Road", further advancement of Korea-China FTA, and rapid expansion of close economic relations between two countries, China is bound to increase OFDI to Korea. The paper empirically studied its determinants of Chinese OFDI to Korea, with PANELDATA data introduced combining time series with cross-section, result shows GRDP, HV, YNTL, FWYS, XFZS are all verified as determinants of Chinese OFDI to Korea, while, several suggestions are proposed for Korea to attract Chinese OFDI.

• Journal of Korean Society of Forest Science
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• v.90 no.5
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• pp.643-649
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• 2001

The case study of the Cooperatives' members and Sincere Forest Managers/Forest Successors was carried out to find the determinants affecting the forest investment of private forest owners and analyze their effects on it. For this the landowners' forest investment probability function was estimated using the logistical regression model. The results showed that the forest investment of the Cooperatives' members was the function of forest area, stand age, forest income, and technical assistance. Three of the variables (forest income, forest area, and technical assistance) exhibited a positive effect on the forest investment as expected, while stand age showed a negative effect unlike the expectation of the study. In case of Sincere Forest Managers and Forest Successors forest area, distance(1)(distance from forest to road accessible by vehicle), knowledge of financing program, and forest income were significant indicators for the forest investment. All these variables showed the expected signs; forest area, knowledge of financing, and forest income had a positive effect on the forest investment, and distance(1) showed a negative effect.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.31-44
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• 2020

Accelerators that invest in early startups, as well as nursery and overall management, have recently emerged as "key players" in the startup ecosystem. This can be proved by the case where the number of domestic accelerators registered in the Korean Ministry of SMEs and Startups has recently reached 208. Accelerators provide the necessary education for early-stage companies, including guidance for a certain period of time, and support startups in ways such as demo days to attract subsequent investment after the seed investment. There is not much research in academia about what factors impact on these accelerators when making investment decisions at the time of seed investment. In this study, we checked the meaning and function of the accelerator and tried to analyze what factors affect on accelerators when making a decision to invest in startups. The research method is based on a literature survey of previous studies on investment decision-making factors of venture capital and angel investors, and a lens model and judgment analysis method through empirical research targeting 43 accelerator investment decision-makers. Empirical analysis shows that accelerators have three of the key factors to consider when choosing the first startup to invest and educate; entrepreneurs' entrepreneurial traits, their product and service expertise and a potential return on success. This will provide an opportunity for early startups to gain strategic access to accelerators when they need money or need a structured educational program. Also, the results obtained through this research will be a kind of guideline for startups to attract accelerators' investment. The significance of this study is that discriminatory evidence was presented on the accelerator determinants of investment, and it would be highly suggestive to startups and related public institutions.

• Knowledge Management Research
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• v.12 no.4
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• pp.41-54
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• 2011

Given the prevalence of home trading systems, it has become important to examine user behaviors in a stock investment environment. In this vein, this paper developed an integrated model to deeply understand the key determinants of user's continuance intention to use investment information through constructs prescribed by incorporating trust and perceived risk into expectation-confirmation model. The proposed research model was tested by using survey data collected from 160 users who have experience with stock investment. PLS (partial least squares) was employed for the analysis of the data. The findings of this study showed that the proposed framework provides a statistically significant explanation of the variation in continuance intention to search investment information. The findings revealed that trust and perceived risk are more prevalent predictors of continuance intention to use investment information compared to perceived usefulness. It was also found that user satisfaction serves as the salient antecedents of continuance intention to use investment information. The theoretical and practical implications of the findings were described.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.147-157
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• 2023

This paper investigates the financial factors affecting angel investors' investment decisions for 818 firms from 2009 to 2018 in the Korean venture investment market. We construct a quasi-experimental design using propensity scoring matching and compare the investment determinants between investment firms and matching firms. The main empirical findings are as follows. First, we find that angel investors are more likely to choose firms based on a firm's growth such as profit and assets rather than profitability or financial stability. In addition, we identify that they prefer the firm not only higher intangible assets but also higher R&D expenditures. Second, we find that angel investors consider both growth and activity ratios in the firms for over three years and have entered the mid-stage of startups. Overall, we confirm that the investment decision of angel investors mainly focuses on the venture startups' growth trend or future growth potential rather than the realized profitability or financial stability. We also infer that the possibility of performance creation is an important investment factor along with growth for the mid-stage startup.