• Journal of Korea Trade
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• v.27 no.3
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• pp.161-178
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• 2023

Purpose - purpose of this paper is to analyze the effects of the investment facilitation levels of 11 RCEP countries (excluding Myanmar, Brunei, and Laos due to lack of data) on China's outward foreign direct investments(OFDI) using balanced panel data from 2010 to 2019. Design/methodology - First, four investment facilitation measurement indicators (regulatory environment, infrastructure, financial market, ease of doing business) were selected,investment facilitation scores of the 11 countries were obtained using the principal component analysis, an investment gravity model was established with nine explanatory variables (investment facilitation level, market size, population, geographic distance, degree of opening, tax level, natural resources, whether the country is an APEC member or not, and whether a valid bilateral investment treaty with China has been concluded) were used to establish an investment gravity model, and regression analyses were conducted with OLS and system GMM. Findings - The results of the regression analyses showed that investment facilitation levels had the greatest effect on China's OFDI, all four first-level indicators had positive effects on China's OFDI, and among them, the institutional environment had the greatest effect. In addition, it was shown that explanatory variables such as market size, population, geographical distance, degree of openness, natural resources, and whether or not a valid bilateral investment treaty has been concluded would have positive effects on China's OFDI, while tax levels and APEC membership would impede China's OFDI to some extent. Originality/value - Since the Regional Comprehensive Economic Partnership (RCEPT) came into effect not long ago, there are not so many studies on the effects of investment facilitation levels of RCEP member states on China's OFDI, and the investment facilitation measurement index constructed in this paper is relatively systematic and scientific because it includes all the contents of investment facilitation related to the life cycle of company's foreign direct investments.

• The Journal of Fisheries Business Administration
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• v.44 no.2
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• pp.101-109
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• 2013

This study is aimed to analyze investment effects of fisheries R&D projects of the National Fisheries Research and Development Institute(NFRDI). In the analysis, Granger causal relations between R&D investment and fisheries production are tested. In addition, time-lag effects of fisheries R&D investment are estimated with an impulse response analysis and investment effects of R&D projects are estimated by changes of social surplus. Results indicate that there exists an Granger-causality between R&D investment and fisheries production and fisheries production responds to the fisheries R&D shock about three years after the initial shock. The magnitudes of the impacts increase until a peak is reached 5~7 years and the impacts decline to zero after 25 years. As investment effects, it is shown that the internal rate of returns of fisheries R&D investment is 55.2%.

• International Commerce and Information Review
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• v.10 no.3
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• pp.163-195
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• 2008

This paper want to do the feasibility analysis that it uses financial statements in order to attract foreign investment to enter in the Busan area. And this paper would be presented the plan about foreign investment revitalization. To that end, this paper would be deployed the following methods and scope. First, It defines to the concept of foreign investment, foreign investment region, and foreign-invested enterprises, I wish to loot at the economic effects of positive and negative effects through foreign investment. Second, this study's scope would be set up foreign investment area of Busan, and investigate the land development cost of invested enterprises, construction cost of enterprises burden, expected revenues, etc. Third, it classified three industry for the feasibility analysis of entered enterprises, so would be yield industry-specific analysis using financial statements to be pre-research. Forth, this paper is suggested a revitalization plan for efforts to attract foreign investment, for the future through economic effective analysis of foreign invested-enterprises.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.69-76
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• 2020

The study examines lagged economic effects of research and development (R&D) investment on the market value of manufacturing firms listed on the Shanghai Stock Exchange or the Shenzhen Stock Exchange in China. This study applies panel data analysis methods to address the following issues: 1) There might be an adjustment lag in the impact of R&D investment on corporate market value, and 2) Unobserved firm effects must be taken into account. The balanced panel data includes a total of 1,462 observations with 34 cross-sections of manufacturing firms listed on Chinese stock markets and with 27 time-specific quarterly periods from 2007 to 2017. The results indicate that the R&D investment of Chinese manufacturing firms tends to yield favorable market value of the firm with some adjustments to time. The results show that R&D investment exhibits a strong positive impact on their market value of manufacturing firms in Chinese stock markets. Moreover, R&D investment has a positive time-lag effect on the market value of the firm. Interestingly, the R&D investment of Chinese manufacturing firms generate a relatively constant positive effect on their market value, supporting the notion that the corresponding returns of R&D investment for such firms yield lagged but added market values.

• Knowledge Management Research
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• v.20 no.1
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• pp.27-43
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• 2019

This paper examines spillover effects of R&D investment in the ICT industry to other industries by analyzing panel data composed of 6 manufacturing industries for the period of 1983~2011. Major findings are as follows; (1) The increase of R&D investment in ICT industry has a significantly positive relationship with the increase in the value-added of the remaining 5 industries with 3~10 year lags, depending on the source of R&D funds and R&D stage. (2) More specifically, public R&D shows the spillover effects during 3~7-year lag periods, whereas private R&D started to exert spillover effects from 9-year lag. The result implies that the public R&D appropriately targets projects with more spillover effects. (3) Basic research, applied research, and development showed the spillover effects for the period of 9~10, 7~10, and 10-year lag, respectively. (4) The R&D investment in 5 other industries such as machinery, chemicals, and materials does not have positive spillover effects to the remaining industries. Few studies have been done to analyze the R&D spillover effects to other industries, with certain limitations. This study contributes to the existing literature by analyzing the spillover effects of the different R&D funds and R&D stages, and by considering various time-lag effects.

• Asia pacific journal of information systems
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• v.25 no.1
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• pp.61-81
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• 2015

Investment in research and development (R&D) is critical in the information technology (IT) firms, where newer and better technology is a quintessential goal that directly affects innovation and competitive advantage. This study investigates how R&D investment influences firm performance and value, and how the effect of R&D investment differs between IT hardware and software firms. We also analyze the relationship between firm age and R&D investment in order to identify learning effects on continuous R&D investment. The empirical investigation in this study, based on longitudinal archival data from 2001 to 2010, found a significant effect of R&D investment on firm performance in IT firms. Further, this study demonstrates causal relationship between firm age, and verifies that learning effects are present in R&D investment. Moreover, the results are found to differ between IT hardware and IT software firms.

• 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.

• Korea Trade Review
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• v.47 no.1
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• pp.181-198
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• 2022

This paper investigates the arbitrage effect by the covered interest parity (CIP) deviation, as well as other push or pull factor effect on capital inflows and ouflows in the Korean bond market, by utilizing OLS, TSLS, IRF and VDC in EC model. The sample period covers February 2002 to December 2020. It is found that, the swap basis reflecting the CIP deviations have the significant effects on both debt investment inflows and debt investment outflows. Also, it is found that, the Korean risk factors have decreasing effects on foreigner's investment in the Korean bonds, while the global risk factors have decreasing effects on Korean resident's investment in the foreign bonds.

• Korean System Dynamics Review
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• v.12 no.1
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• pp.5-37
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• 2011

This article aims to clarify what is the best investment behavior in Capital Intensive Industries(hereinafter CIIs) which show repeated business cycles. In CIIs, investments is centered in the period of upturns and goes beyond the adequate level because of the time that takes to completion of facilities. This over-investment causes oversupply and downturn, and in period of downturn, investments shrinks under the adequate level. The repeated change of over-investment and under-investment is the reason for the business cycles. In this article, a simulation model replicating the business cycles in CIIs was constructed and the effects of various investment strategies was tested. The results are as follows. First, the investment behavior following market condition causes the ongoing fluctuation of profits. Second, strategic increase in flexibility such as adjustment of facility utilization and shortening of facility construction time contributes to the increase in profit and stabilization of income. Third, in relation to market condition, the constant investment is more profitable in stagnated market and the counter-market investment is more profitable in growing market. In sum, it is desirable not to synchronize their investment with those of competitors.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.115-133
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• 2024

Purpose: The purpose of research is to explore the factors influencing the intention to adopt altcoin investments, based on the Unified Theory of Acceptance and Use of Technology. Through this, it seeks to elucidate the key factors impacting altcoin investment adoption, and provide a comprehensive understanding of the crypto-currency market and investor behavior. Methods: This study analyzed factors affecting altcoin investment intentions using frequency and descriptive analyses, and verified socio-demographic differences with t-tests and ANOVA. Exploratory factor and correlation analyses were conducted for research tool validity and relationship assessment among variables. Hypotheses were tested through regression analysis, integrating control, independent, and moderating variables, along with interaction terms, to establish the model and examine moderating effects. Results: As a result, it is revealed that higher age and experience in crypto-currency investment are associated with intention to invest. Among the independent variables, performance expectancy, social influence, facilitating conditions, and personal innovativeness have positive effects to investment intention to invest, while effort expectancy had a negative effect. The moderating variable, perceived risk, also negatively affected the intention to invest. Notably, significant moderating effects of perceived risk were observed in the relationships between investment intention and both performance expectancy and personal innovativeness. Conclusion: This study provides empirical verification into consumers' intentions to invest in altcoins, offering insights into investors' behavior and decision-making processes based on a practical understanding of altcoin investment acceptance.