Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.14
no.3
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pp.47-58
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2019
The present study investigates the relationship between social competence and economic performance in social enterprises. Social enterprises simultaneously pursue social value creation and economic value creation, two of which are not easily compatible each other. This study explores the conditions under which these two values can synergize with each other and thereby, positively affect each other's performance. In particular, I examine how two important social competences, that is, social identity and social alliance, influence economic performance of social enterprises. Using the secondary data on social enterprises from Korea Social Enterprise Promotion Agency, I run OLS regression analyses to test hypotheses. I find that investment on social value creation, only when it aligns with social identity, has a statistically significant and positive relationship with economic performance of social enterprises. Further, the study finds evidence that social alliance in and of itself does not affect economic performance of social enterprises. However, social alliance does have a positive influence on social enterprises' economic performance, only when taking into account social alliance partners' organizational attributes and a focal social enterprise's degree of readiness to absorb expected gains from social alliance altogether. The present study improves our understanding on social entrepreneurship research by suggesting how social enterprises can enhance two seemingly incompatible values in a simultaneous manner. I also discuss potentially fruitful future research agenda based on the present paper's findings.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.9
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pp.323-332
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2019
The purpose of this study is to measure the effects on the regional economy from the Jeju International Wind Ensemble Festival. In order to examine the economic ripple effects of the festival, we examine its impact on the local economy using two regional (Jeju-National) industry-related models based on the 2013 Jeju Region Input and Output Table. We also compare how the Jeju International Wind Ensemble Festival is growing and affecting the regional economy through a comparison between 2017 and 2018. Comparing the results of a production-inducing and value added-effect analysis of the induced industries from investment expenditures for the Jeju International Wind Ensemble Festival, the production-inducing effects increased by 2.1 times-from 9.05 billion won in 2017 to 18.7 billion won in 2018. The value-added effect increased by 2.2 times, from nearly 4.3 billion won in 2017 to nearly 9.2 billion won in 2018. The analysis shows that the Jeju International Wind Ensemble Festival contributes greatly to an income increase for local residents. In order to enhance the effects of the Jeju International Wind Ensemble Festival, it is necessary to use policies that link culture and tourism in Jeju.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.7
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pp.528-534
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2019
This study analyzes the factors affecting China's carbon emissions from 1985 to 2016. In recent years, the whole industries of China are in the midst of industrialization and have several problems. Now, the low-carbon economy has become the main task of China's economic development. This study analyzes the factors affecting China 's carbon emissions by selecting relevant data onto the Chinese yearbook and using a time series model. The analysis shows that related industries continue to innovate and increase the use of green energy such as electricity, but coal is still the largest share of the energy consumed. As energy use efficiency increases and industrial R&D investment increases year by year, carbon emissions are increasing every year. In addition, there is a stereotype that industry is the biggest factor affecting carbon emissions. The research found that the impact of the industry on China's carbon emissions is declining gradually. While controlling industrial carbon emissions, keeping continue to improve technology development and focusing on carbon emissions from other industries are critical to reduce overall carbon emissions. Based on the empirical results, if we can change stereotypes starting from the nature of the data, we will quickly reach a low carbon sustainable development economy.
Objectives: This study investigated the different perceptions of customers toward traditional and non-traditional fast-food restaurants regarding restaurant healthfulness, corporate reputation, and the impact of corporate reputation on loyalty intentions through corporate social responsibility (CSR) motive. Methods: An online survey was conducted on U.S. residents who were aware of fast food restaurants' CSR activities. Participants selected one fast food restaurant participating in CSR activities, coded as either traditional (n = 117) or non-traditional (n = 48), and answered questions about the selected restaurant's healthfulness, reputation, CSR motives, and loyalty intentions. The participants' perceptions of healthfulness and corporate reputation of the two types of fast-food restaurants were compared. A mediation path of corporate reputation - CSR motive - loyalty intention was analyzed. Results: Non-traditional fast-food restaurants (5.02 ± 1.26) were perceived to be more healthful than traditional ones (3.93 ± 1.72). The participants perceived that compared to traditional fast-food restaurants, non-traditional ones had a better overall corporate reputation (P = 0.037), were more concerned about their customers (P = 0.029), better workplaces (P = 0.007), more environmentally and socially responsible (P < 0.001), and offered higher quality products and services (P = 0.042). Significant positive correlations were shown between restaurant healthfulness and corporate reputation (P < 0.001 for all reputation items). The suggested mediation path was supported with 95% CIs excluding zero, implying that when fast-food restaurants had a better reputation overall, were customer oriented, good employers, strong companies with a good product and service quality, social and environmental responsibility, the participants were more likely to perceive their CSR activities to be sincere and were hence loyal to that restaurant. Conclusions: Overall, participants were more favorable towards non-traditional fast-food restaurants which had a healthier image and better reputation than traditional ones. Therefore, fast food restaurants need to consider offering healthy food and enhance their image, which would maximize the return on their investment in CSR.
Recently, Southeast Asian people, its food, natural sceneries and so on have been increasingly exposed to Korean people through mass media and multi-cultural events. At the same time, Koreans can frequently encounter Southeast Asians in their everyday lives. Thus, specific images and discourses of Southeast Asia has been established in our society, which creates a new social trend called 'Southeast Asia phenomena'. In short, 'Southeast Asia phenomena' means a totality of Korean people's experience of Southeast Asian and their perception on the region. On the one hand, 'Southeast Asia phenomena' is a result of inflow of Southeast Asians and their culture into Korea. On the other hand, it is also a consequence of Korean people's understanding of Southeast Asia from their trip to Southeast Asia or from their interactions with Southeast Asian people. This article aims to analyze the origin and diffusion of 'Southeast Asian Phenomena' in Korea in the context of Southeast Asia focusing on 4 topics, that is, migrant workers, overseas investments, retirement migration, study-abroad categorized as human movement. This article is also about a country-by-country comparative analysis both at the macro level and the micro level. At the macro level, overseas investments and trade, human exchanges, positive perception to Koreans which considered to be the structural causes become a strong mechanism playing a important bridge role between Korea and Southeast Asia. So these create the high probability of the emergence of 'Southeast Asian Phenomena' At the micro level which is more direct causes of 'Southeast Asian Phenomena', the economic cause is the most important common cause for 4 Southeast Asian Phenomena. Additionally, Korean wave is also remarkable common cause creating 'Southeast Asian Phenomena' even it is not the origin in the context of Southeast Asia. The diffusion of 'Southeast Asian Phenomena' is different by the topics and the elements contributing to create the favorable situation for the diffusion are not only overseas investments and trade, human exchanges at the macro level but also policy elements at the micro level. The relative differences of the causes of 'Southeast Asian Phenomena' in the country-by-country analysis are found. Regarding overseas investments in Vietnam and Cambodia, the economic degree of freedom in Cambodia is higher than in Vietnam. Even Korean Wave has had the longer history in Vietnam, but the favorable perspectives on Korean Wave are stronger in Cambodia. For migrant workers from Vietnam and Indonesia, the economic causes in Vietnam are more significant than in Indonesia. The impact of Korean Wave is stronger in Vietnam than in Indonesia. In case of study-abroad, the social-cultural elements and policy elements are more diverse in Malaysia than in Korea. For the Korean retirees who immigrate to the Philippines and Malaysia, the economic causes in the Philippines is more significant in Malaysia.
This study is to examine the influence of Asian countries on the economic field, and to explain the characteristics and purposes of China's Belt and Road Initiative using data analysis. The purpose of this study is to identify and analyze the influence and characteristics of China's One-to-One Road Initiative on the economic sector by examining trade and investment in Asian countries adjacent to China. In particular, the One-to-One Road initiative is proceeding in a way that connects China and neighboring countries. It is to understand the dependence of the Asian countries in China on the Chinese economy. In addition, it is intended to derive implications by grasping and evaluating what the level is based on data. This study also attempts to grasp the influence and ripple effects of the one-on-one strategy on the Chinese economy and the North Korean economy, where dependence is deepening. Recently, the strategy for Asian countries through a one-to-one initiative in China has been restructured in the framework of the construction of the "21st century Maritime Silk Road" and emphasizes the cooperation mechanism led by the country. In progress of the one Belt and One Road, Chinese ICT companies are remarkable. This study looked at the influence of China's digital one Belt and One Road on Asian countries.
The Busan-Ulsan-Gyeongsangmando(BuUlGyeong) megacity aims to grow into the second metropolitan area by strengthening the growth and connectivity of the southeast region in Korea. In order to analyze the linkage between port logistics and regional economic development, this study focused on the economic community of BuUlGyeong. The findings are as follows. First, it was found that vessel entry and departure had a positive (+) significant effect on cargo volume. Second, the cargo volume was found to have a preemptive effect on the vessel entry and exit ports and the composite index. Third, the composite Index was found to have a significant positive (+) effect on cargo volume. From the results of the variance decomposition, it can be confirmed that the composite index has a weak impact on ship entry/exit and cargo volume. Based on the above findings, some policy implications are derived. First, regional governments in BuUlGyeong should provide incentives to revitalize the maritime economy such as the expansion of maritime port infrastructure and encouraging investment. Second, since an increase in cargo transport volume at major national ports linked to the BuUlGyeong region has a positive (+) effect on economy. Therefore it is necessary to expand actively port marketing and regular service for the country and ports. Third, investments should be made continuously to expand the marine port infrastructure such as the expansion of facilities so that global shipping companies can continue to call megacities in BuUlGyeong ports for super-large ships and cruises.
Investment demand for factory facilities has increased due to the balloon effect caused by housing price regulation. This study investigated the impact of the real estate market and macroeconomic factors on the bid price ratio of apartment auctions and factory auctions, focusing on the metropolitan area. To this end, we reviewed theories and previous studies on real estate auctions, and examined how macroeconomic variables affect bid price ratio of apartments and factories using the panel vector autoregressive model. It was found that the increase in the apartment bid price ratio increases as the participation in apartment auctions increases. However, as the factory bid price ratio increases, the factory bid price ratio does not increase, it was confirmed that the positive (+) relationship between the successful bid price ratio and the bid price ratioe does not exist, unlike previous studies. Based on the analysis results, it is suggested that the real estate market and macroeconomic factors should be considered for the stable operation of the related relevant auction system. This study has limitations in that it is limited to the metropolitan area. In the future, research that expands the scope of research to the whole country and provinces should be conducted.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.16
no.6
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pp.157-175
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2021
This study categorized 3,214 companies out of the tech firms supported by the Korea Technology Finance Corporation's "technology guarantee scheme" through technology assessment from 2017 to 2019 into Fourth Industrial Revolution-related companies and general SMEs. The impact of the management characteristics of these 1,752 tech firms on the determination of high-growth firms was then empirically analyzed. This study used the OECD(2007) definition to define a "high-growth firm" as "an enterprise with average revenue growth greater than 20% per annum, over a two-year period." As the two sample groups showed non-normal distribution, this study conducted the Mann-Whitney U test, a nonparametric test, to analyze the mean differences and bivariate logistic regression in which the normality assumption is less stringent. The independent variables include fundamental characteristics; a regional dummy; a technological level dummy; and the capabilities of company representatives, human capital, and technological innovation. The corresponding sub-variables are representatives' level of education and experience in the same industry, full-time workers, research personnel, the extent of intellectual property rights, investment in research and development, firm age, total assets, region_metropolitan area, region_central region, technological level_high technology, and technological level_medium technology. As a result, the research hypothesis about representatives' level of experience in the same industry, full-time workers, total assets, and technological level_high technology was supported for the Fourth Industrial Revolution-related companies. For the general SMEs, the research hypothesis about representatives' level of experience in the same industry, research personnel, total assets, and region_metropolitan area was supported.
The outlook for Korea's consumer price inflation rate has a profound impact not only on the Bank of Korea's operation of the inflation target system but also on the overall economy, including the bond market and private consumption and investment. This study presents the prediction results of consumer price inflation in Korea for the next three years. To this end, first, model selection is performed based on the out-of-sample predictive power of autoregressive distributed lag (ADL) models, AR models, small-scale vector autoregressive (VAR) models, and large-scale VAR models. Since there are many potential predictors of inflation, a Bayesian variable selection technique was introduced for 12 macro variables, and a precise tuning process was performed to improve predictive power. In the case of the VAR model, the Minnesota prior distribution was applied to solve the dimensional curse problem. Looking at the results of long-term and short-term out-of-sample predictions for the last five years, the ADL model was generally superior to other competing models in both point and distribution prediction. As a result of forecasting through the combination of predictions from the above models, the inflation rate is expected to maintain the current level of around 2% until the second half of 2022, and is expected to drop to around 1% from the first half of 2023.
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