This study tried to analyze the factors affecting consumers' vehicle selection for the spread of eco-friendly vehicles. We used the energy census data for this purpose, and although the energy census collects useful information from a large number of samples, it has been limitedly used to create simple statistics in many cases. Based on 2,771 transport sector microdata from the 2017 Energy Census, we collected vehicle price, fuel efficiency, and number of vehicle models, which are alternative characteristic variables that change according to consumers' choice, and converted and analyzed data to enable conjoint analysis. The analysis results in two-folds. First, it was confirmed that the official fuel efficiency of a vehicle and the fuel cost, which is affected by changes in the relative price of each fuel, are important variables in selecting an eco-friendly vehicle. In order to achieve the goal of spread of eco-friendly vehicles, it is necessary to develop technologies to improve fuel efficiency and set appropriate electric rates for charging electric vehicles. Second, an increase in the number of vehicle models through the expansion of the eco-friendly car industry and market also affects consumers' choice of eco-friendly vehicles, so efforts to expand the supply of eco-friendly vehicles will be an important factor. In addition, it is also significant that this study showed that the use of the energy census can be diversified by deriving meaningful policy implications using the results of the energy census periodically conducted in the country without a separate survey.
In this study, in order to derive the priority of indicators and sustainability areas of smart ports, which means ports in the digital era, previous studies and ESG, which have recently been indispensably introduced in all industries worldwide, were studied together. A hierarchical structure was established with upper evaluation items and 20 lower evaluation items in four areas (operational, environmental, social, and governance), and a relative evaluation method of weighting items among the AHP techniques was applied. The pairwise comparison questionnaire consisted of a 9-point scale proposed by Satty (1980). A survey was conducted targeting working-level workers who perform sustainability or ESG(Environmental, Social, Governance)-related work at four representative port authorities in Korea (Busan, Incheon, Ulsan, Yeosu Gwangyang). In order to increase the accuracy of the analysis results, AHP analysis was conducted on 17 questionnaires with a consistency ratio of 0.1 or less. As a result of the analysis, it was confirmed that among the four areas representing the sustainability of domestic smart ports, the operation area had the highest priority, followed by the environment area. In addition, looking at the overall priorities for the 20 detailed indicators, indicators such as operational efficiency, operational planning, energy management, and pollution measurement and management system were found to have high priority. On the other hand, it was confirmed that the social and the governance areas had relatively low importance compared to other areas.
In this study, daily data from January 2002 to June 2022 were used to investigate the relationship between risk-return relationship and market fear, uncertainty, stock market, and maritime freight index for the crude oil market. For this study, the time varying EGARCH-M model was applied to the risk-return relationship, and the wavelet consistency model was used to analyze the relationship between market fear, uncertainty, stock market, and maritime freight index. The analysis results of this study are as follows. First, according to the results of the time-varying risk-return relationship, the crude oil market was found to be related to high returns and high risks. Second, the results of correlation and Granger causality test, it was found that there was a weak correlation between the risk-return relationship and VIX, EPU, S&P500, and BDI. In addition, it was found that there was no two-way causal relationship in the risk-return relationship with EPU and S&P500, but VIX and BDI were found to affect the risk-return relationship. Third, looking at the results of wavelet coherence, it was found that the degree of the risk-return relationship and the relationship between VIX, EPU, S&P500, and BDI was time-varying. In particular, it was found that the relationship between each other was high before and after the crisis period (financial crisis, COVID-19). And it was found to be highly associated with organs. In addition, the risk-return relationship was found to have a positive relationship with VIX and EPU, and a negative relationship with S&P500 and BDI. Therefore, market participants should be well aware of economic environmental changes when making decisions.
This study analyzed the risk spillover of BDI on shipping company stock prices through the Copula-CoVaR method based on daily data from January 4, 2010, to October 31, 2022. The main empirical analysis results and policy implications are as follows. First, copula results showed that there was a weak dependence between BDI and shipping company stock prices, and PAN, KOR, and YEN were selected as the most fitting model for dynamic Student-t copula, HMM was selected as the rotated Gumbel copula, and KSS was selected as the best model. Second, in the results of CoVaR, it was confirmed that the upside (downside) CoVaR was significantly different from the upside (downside) VaR in all shipping companies. This means that BDI has a significant risk spillover on shipping companies. In addition, as for the risk spillover, the downside risk is generally lower than the upside risk, so the downside and upside risk spillover were found to be asymmetrical. Therefore, policymakers should strengthen external risk supervision and establish differentiated policies suitable for domestic conditions to prevent systematic risks from BDI shocks. And investors should reflect external risks from BDI fluctuations in their investment decisions and construct optimal investment portfolios to avoid risks. On the other hand, investors propose that the investment portfolio should be adjusted in consideration of the asymmetric characteristics of up and down risks when making investment decisions.
Journal of the Economic Geographical Society of Korea
/
v.26
no.1
/
pp.1-22
/
2023
This study proposes an integrated use of region and industry as a way to classify firms' innovation activities by type. Existing studies have used the method of determining innovative activities according to the components of the technological regimes and aggregating them by industry classification, but this method cannot fully reflect the heterogeneity within industries in an increasingly sophisticated innovation environment. Therefore, this study divides firms by region and industry and conducts a cluster analysis on the proportion of innovative activities by the components of the technological regimes to derive a total of four innovation types. Using the 2016 Korean Innovation Survey to classify innovation types in the manufacturing industry, we found that innovation activities are concentrated in Seoul, Busan, Incheon, and Chungnam/ Sejong/ Daejeon area, with different deviations by region and industry. The results of the aggregation of industrial innovation activities, weighted by corporate activity by region, show that the level of innovation activity in some manufacturing industries, such as petrochemicals, manufacturing of medical, precision and optical instruments, watches and clocks, is high, but the level of innovation in other sectors within the manufacturing industry is generally low.
Journal of the Korean Regional Science Association
/
v.40
no.2
/
pp.3-19
/
2024
The purpose of this study is to analyze the impact of attracting a university campus on the local economies of small and medium-sized cities, focusing on changes in local commercial neighborhoods(such as the number of startups, closures, and stores counts). For this study, a Difference-in-Difference(DID) analysis was used to compare the period before and after the attraction of university campuses in four local small and medium-sized cities. These include the Yangsan Campus of Pusan National University, the Jincheon Campus of Woosuk University, the Taean Campus of Hanseo University, and the Dangjin Campus of Hoseo University. The comparison was based on the number of startups, closures, and store counts, using local data provided by the Ministry of the Interior and Safety. The main findings of the study are as follows. First, attracting a university campus has a positive impact on the number of startups, both spatially and temporally. The spatial factors for the number of closures and stores showed a decrease, while the interaction terms representing the period before and after attracting the university campus all indicated an increase. Second, the number of startups in cultural and food-related sectors increase, reflecting the new demand created by attracting the university campus. However, there was also an increase in the number of closures, indicating rapidly changing consumption trends among university students. Third, physical environmental factors such as the number of building floors, land use zoning, and officially assessed land prices have a significant impact on the number of startups, closures, and stores. This supports the assertion that attracting university campus have a positive impact on the revitalization of local commercial neighborhoods.
To identify the problems in child rearing practice of employed mothers in urban poor area, all of 201 women with children under 6 years old living in Yun San 3 Dong, a poor area of Pusan city, were interviewed with a questionnaire by a trained interviewer from 10th April to 10th May 1989. Among 201 women, 51 women were employed and 150 women were unemployed. Of the employed mothers 78.5% got their jobs because of economical need and 31.4% of them worker for 60-69 hours per week. Their average monthly income was 100,000-190,000 Won in 33.4% and 200,000-290,000 Won in 25.4% Breast milk was fed in 66.0% of the children of unemployed mothers while 49.0 of the children of the employed mothers were breast-fed (p<0.05). The most common reason for not breast feeding was shortage of breast milk among unemployed mothers (58.9%) but that of the employed mothers was their job(63.6%). The basic immunization for children was completed in 70.5% of children of employed mothers as compared with 82.0% of the children of the unemployed mothers were completely immunized (p>0.1). Accident experience rate of children among the employed mothers was 23.5 a and that of the children of the unemployed mothers was 17.3% . The most common cause of acident in children of the unemployed mothers was carelessness while they were playing(34.6%) but in children of the employed mothers it was traffic accident(25.0%) and falling(25.0%). Most of the traffic accidents took place while the children's brother or sister of age under 14 years were baby sitting. When the accident took place 73.1% of the unemployed mothers were just at home, but 58.3% of the employed mothers were out of home for work. In case of the employed mothers, 58.7% of their children were looked after by an adult mainly grandparents, 15.7% by the children's brothers and sisters under 14 years old, and 3.9% of the children were left alone. A majority of the unemployed mothers wanted to get a job if someone could take care of their children. To facilitate the women employment and for the safety and health of the children, good nurseries for working mothers need to be established at a cost they can afford.
Journal of the Economic Geographical Society of Korea
/
v.8
no.1
/
pp.91-105
/
2005
The assessment (or the evaluation) of spatial disparity is the main concern for the study of spatial disparities or spatial inequalities. In order to evaluate the spatial disparity, the regional differences have to be counted quantitatively. Several measurements have been introduced for evaluating the development potentials of each region. Most of them are the composite indices of the socio-economic variables rather than the real potentials of the region. This study attempts to investigate the spatial disparity in Korea. For the purpose, the levels of opportunity potentials of the cities have been calculated by the Potential Model redefined by Lee(1995). The opportunity potentials have been calculated for the educational, cultural, medical service, environmental sectors, income, and consumption sectors, and the spatial patterns of various opportunity potentials have been analyzed. The spatial patterns of opportunity potentials show the severe concentration on the Metropolitan Seoul area through all sectors. The next level concentration appears at the other end of the Keuyng-Bu axis. And the cities relatively high opportunity potential values are distributed along the Keuyng-Bu axis. Remain parts of the country show quietly low opportunity potential values. In particular, the southern-west and the northern-east parts show relatively very low values. This pattern appears for all sectors except for the opportunity potential of the environmental sector. It means that the spatial disparity in Korea have been promoted and enhanced by the national development policies concentrated the investment on the large cities along the Keuyng-Bu axis during the last 40 years.
The world demand of ethanol as an alternative fuel for gasoline is increasing rapidly because of high oil price and global climate change. Most of ethanol is currently produced from corn grain or sugars in sugarcane and sugar beet. Because these sources compete with foods and animal feed and are not expected to be enough for future demand of ethanol. Thus, cellulosic ethanol from agricultural residues or wood has to be commercialized in near future. Typical cellulosic ethanol production consists of pretreatment, enzyme hydrolysis, fermentation and product separation. This paper reviews the principles and status of each step and discusses issues for cellulosic ethanol production.
The author have performed, from June to July 1976, a sociomedical study on the 314 prostitutes which was engaged in tourism in Dongrae, Busan. The obtained results were as follows: 1. Age distribution was from 20 years old to 34 years old and the highest as 36.6% was 23-25 years old group. Most of the respondents as 95.2% were under 31 years old group. 2. Distribution of respondents by educational level showed that the group below the graduated primary school was 47.2%, middle school 29.3% and high school 57.0% in that order. 5. By the occupation before be ruined, none was 34.5%, waitress at saloon 24.2%, hostess 14.3%. 4. By distribution of birth place, most of the respondents as 64.0% were Gyeongsang Do(37.9%) and Busan City (26.1%). 5. Distribution of respondents by family status showed that only mother was highest as 43.9% and 82.2% of respondents have been supported their family. 6. Monthly incomes of respondents were distributed from 50,000 Won to 250,000 Won, and 50,000-100,000 Won group was the highest as 46.2%. In monthly sundry expenses, 20,000-30,000 Won group was the highest as 27.1%. 7. Monthly supporting expenses to their family were distributed from 10,000 Won to 50,000 Won and the highest as 26.7% was 10,000-20,000 Won group. Savings per month were distributed from 10,000 Won to 60,000 Won and 50,000-60,000 Won group was the highest as 22.3%. 8. Distribution of respondents by status of luxury showed that experiences of drinking was 20.4% and smoking was 55.7%. 9. By motive of falling into the ruin, economical causes was 41.7%. Most of the respondents as 95.0% expected under 3 years in prearranged period of their occupation. 10. By number of monthly entertainment, 5-10 persons as 58.0% was the highest. 11, Distribution of respondents by status of venereal disease and pulmonary tuberculosis showed that positive of gonorrhea was 8.0%, syphilis 1.6%, and pulmonary tuberculosis was 1.6%.
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