• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.345-353
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• 2021

The impact of investment on economic growth has been studied by many authors around the world with different times and research methods. Therefore, there are conflicting opinions about the impact of investment on economic growth. To contribute empirical evidence, the objective of this study is to assess the impact of investment sources such as public investment, private investment, and foreign direct investment on economic growth in Vietnam in the short-run and long-run. The data used for the study is panel data from 63 Vietnamese provinces between 2000 and 2020. The inquiry method is PMG (Pool Mean Group) regression for economic growth (GDP) after testing the stationarity of the variables that meet the PMG regression condition as suggested by Pesaran et al. (1996) and Hamuda et al. (2013). The results show that: factors such as labor and trade openness have a negative impact on economic growth in the short term. In the long run, public investment has a negative effect on economic growth, while domestic private investment, foreign direct investment, trade openness, and labor have positive effects on economic growth. Labour contributes the most, followed by trade openness, foreign direct investment, and domestic private investment. Finally, the study provides policy implications for the Government of Vietnam.

• 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.

• Management & Information Systems Review
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• v.39 no.2
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• pp.163-179
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• 2020

Recently, impact investment has attracted attention all over the world. This is intended to effectively solve problems by combining private capital and various financial techniques with social and environmental needs, as it is recognized that it is difficult to solve social and environmental problems. Impact investment means a mixture of financial, social, and environmental aspects. This refers to an investment focused on such a blended value, through which it simultaneously achieves financial and social values such as return on investment. The purpose of this study is to study whether impact investment, which has become a new issue, is actually applicable in Korea. This study first considers the concept and method of impact investment, and a prior study on social enterprises and impact investment that pursue social values. In particular, after analyzing in detail the social performance-related bonds (SIB) and operational cases, we intend to explore the possible applicability of impact investment to Korea. The results and implications of this study are, first, changes in the government's attitude toward impact finance. The government should entrust innovative public works to market-proven service providers to enhance the professionalism and efficiency of public service projects. Second, the legal system must innovate. Impact investment should provide an institutional foundation to pursue social problem solving simultaneously, not maximizing financial performance. Third, when investing in public works in the private sector, impact investment must clearly demand social performance and clarify the evaluation accordingly. The project execution process should create an impact environment that is more free and active.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.1-15
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• 2023

Impact investment involves investing in companies that pursue both social value and financial returns. It focuses on addressing various social problems through innovative solutions while generating profits. The domestic impact investment ecosystem has experienced significant growth with the support of the government and public institutions. In 2021, it witnessed a 3.5-fold increase over three years, reaching a total of 700 billion won in operating assets. In order to foster qualitative growth alongside this quantitative expansion, it is crucial to conduct research specifically on impact investment, which sets it apart from conventional venture investment. This study aims to empirically analyze the unique factors that influence impact investment decisions. Firstly, the factors affecting investment decisions were identified through a literature analysis. Then, a consultation and Delphi survey involving 11 representatives and evaluators from impact investment companies was conducted to determine the major investment determinants. Subsequently, an AHP (Analytic Hierarchy Process) survey was carried out with 10 impact investment evaluators to ascertain the relative importance of these factors. The analysis revealed the following order of importance for the top factors: market>entrepreneur(team)>product/service>finance. Furthermore, the importance of specific factors was identified in the following order: market competition and entry barriers>new market creation>market growth and potential expansion>team expertise and capabilities. Unlike previous studies that primarily focus on general startup investment factors, this research demonstrates that impact investment places greater emphasis on market-related factors and considers the sustainability and profitability of the business model to be more important than the social impact of social ventures.

• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.17-32
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• 2023

In recent years, the need for social ventures that aim to grow while solving social problems through the efficiency and effectiveness of commercial organizations in the market has increased, while there is a limit to how much the government and the public can do to solve social problems. Against this background, the number of social venture startups is increasing in the domestic startup ecosystem, and interest in impact investors, which are investors in social ventures, is also increasing. Therefore, this research utilized judgment analysis technology to objectively analyze the validity and weight of judgment information based on the cognitive process and decision-making environment in the investment decision-making of impact investors. We proceeded with the research by constructing three classifications; first, investment priorities at the initial investment stage for financial benefit and return on investment as an investor, second, the political skills of the entrepreneurs (teams) for the social impact and ripple power, and social venture coexistence and solidarity, third, the social mission of a social venture that meets the purpose of an impact investment fund. As a result of this research, first of all, the investment decision-making priorities of impact investors are the expertise of the entrepreneur (team), the potential rate of return when the entrepreneur (team) succeeds, and the social mission of the entrepreneur (team). Second, impact investors do not have a uniform understanding of the investment decision-making factors, and the factors that determine investment decisions are different, and there are differences in the degree of the weighting. Third, among the various investment decision-making factors of impact investment, "entrepreneur's (team's) networking ability", "entrepreneur's (team's) social insight", "entrepreneur's (team's) interpersonal influence" was relatively lower than the other four factors. The practical contribution through this research is to help social ventures understand the investment determinant factors of impact investors in the process of financing, and impact investors can be expected to improve the quality of investment decision-making by referring to the judgment cases and analysis of impact investors. The academic contribution is that it empirically investigated the investment priorities and weighting differences of impact investors.

• Knowledge Management Research
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• v.9 no.1
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• pp.117-128
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• 2008

It is very crucial to establishing an evaluation framework for anayzing the investment effects of IT asset such as knowledge managment systems. However, evaluation by quantitative measures, in spite of its usefulness and reliability, may have weakness in examining wide range of effects of the IT investment. Hence, the purpose of this paper is to propose a novel framework to evaluate the performance in terms of wider range of informatization effects. To do so, knowledge management concepts has been adopted in the evaluation method, and Impact Of Investment(IOI) has been suggested. IOI is used to derive Value Of Investment(VOI) and then ROI.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.33-42
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• 2020

The neoclassical economic supporters have suggested that foreign direct investment and raw material (e.g., coal, electricity, gas, and oil) are critical economic growth inputs. Few previous studies have analyzed the relationship between foreign direct investment and energy consumption on economic growth. However, existing studies usually have applied the frequentist inference. The limitation of the frequentist inference is that, if the coefficient of the independent variable is not yet significant, then conclusions might be unreliable. By applying the Bayesian approach, the main aim of this study is to revisit the impact of foreign direct investment, electricity consumption, and urbanization on economic growth in six ASEAN countries from 1980 to 2016. The obtained outcome shows that the impact of electricity consumption is evident and positive on economic growth in both frequentist and Bayesian inferences. However, the influence of foreign direct investment is not identified by frequentist inference, while Bayesian inference provides evidence that foreign direct investment is a moderately positive impact on economic growth. The empirical result from Bayesian inference contributes to the literature on foreign direct investment modeling and could be of significant importance for a more efficient foreign direct investment attracting and achieve sustainability in the long-term.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.177-184
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• 2020

This paper analyzes factors affecting corporate investment decisions in economic groups listed on the Vietnam stock market. The panel data of the research sample includes 39 economic groups listed on the Vietnam stock market from 2009 to 2019. The Generalized Least Square (GLS) is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, the investment rate is a dependent variable. Cash-flow (CF), Investment opportunities (ROA), Fixed capital intensity (FCI), Leverage (LEV), Sales growth (GR), Size (SZ), Business risk (RISK) are independent variables in the study. The model results show that cash flow and sales growth have the same impact on investment decisions of economic groups in Vietnam. In addition, investment opportunities have a negative impact on the capital investment decisions of economic groups. The remaining factors include fixed capital intensity, leverage, firm size, and business risks that have a weak and insignificant impact on capital investment decisions of economic groups in Vietnam. The findings of this article are useful for business administrators, and helping business managers make the right financial decisions. Besides, the research results are also meaningful to money management agencies. The authors recommend that the State Bank of Vietnam should maintain a sustainable monetary policy.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.318-328
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• 2022

The purpose of this study is to analyze the impact of ownership concentration and R&D investment on earnings growth of listed companies in China. For this purpose, this study utilized 14,196 samples from 2,366 Chinese listed companies using the WIND database and conducted empirical analysis by Python. The results of the analysis are as follows. First, the data shows that ownership concentration has a positive (+) impact on revenue growth of Chinese listed firms. Second, ownership concentration has a postive(+) impact on R&D investment of Chinese listed firms. Third, the survey shows that R&D investment has a positive (+) impact on revenue growth of Chinese listed firms. Fourth, the impact of R&D investment on earnings growth of Chinese listed firms has time lag effect. Fifth, R&D investment has a partial mediating effect in ownership concentration and earnings growth of Chinese listed firms. Based on these analytical results, this study proposes measures to promote firms' earnings increase by optimizing ownership concentration and increasing R&D investment in Chinese listed firms.