• Journal of the Korea Safety Management & Science
• /
• v.23 no.1
• /
• pp.81-94
• /
• 2021

In SMEs, technological innovation is recognized as an important tool in terms of sustainable growth. This study analyzed the determinants of technological innovation by using the information of the corporate panel DB composed of local SMEs. The internal factors were added with technological innovation capacity and production capacity and the industrial cluster environment was first applied to external factors. Also, whether the industrial cluster environment influences technological innovation through R&D capabilities, the mediating effect was tested with the Sobel Test. Among the internal and external factors, the most important determinant was marketing ability, and a policy was proposed to develop measures to increase R&D capability with mediating effect. Among the technological innovation variables, which are dependent variables, the most determinant factor was the proportion of new product sales. For this, it is considered that additional research such as longitudinal research with the concept of repetition and parallax using the corporate panel DB is necessary.

• Journal of Digital Convergence
• /
• v.15 no.9
• /
• pp.463-470
• /
• 2017

The aim of this research is to examine patterns of design governance used by Northern European countries to respond to social crises and understand design governance as a tool for sophistication of social services and social integration. Design governance as applied in Sitra of Finland, MindLab of Denmark and the Gulliver project of Germany encourages using design methodology for analyzing and solving problems related to social phenomena based on involvement of the private, public, industrial, and academic groups. Especially, the citizens are actively involved in developing problem-solving ideas and designing new policy with other governance members, rather than simply providing information or one-time participation. In the cases discussed in this study, design governance reduce unnecessary administrative and financial consumption and inconvenience caused by complicated rules, based on field-oriented approach, regional characteristics, pluralism, and respect for diversity. Therefore, future design policy paradigm will need to evolve into concept of policy design and pluralistic monitoring centered on design governance based on participation of private sector to lead policy development, from the current system in which only few officials decide policy.

• Journal of Korean Society on Water Environment
• /
• v.28 no.6
• /
• pp.804-812
• /
• 2012

This study contemplated domestic and other country's effluent limitation standards and suggested a methodology to establish technology-base limitation value. Current effluent limitation regulates industrial point sources discriminated by discharge flow rate and by regional distinction in Korea. Discharged $BOD_5$ load from large-scale plants(flow rate above $2,000\;m^3/day)$ exceeds 50% of overall industrial wastewater, which present rationale for discrimination based on plant size. However, regional distinction and pollutant- specific regulation might be insufficient to meet practical effectiveness of wastewater management policy, due to the nearly same limitation. Water quality data and treatment methods were investigated in hospital industry. And their distribution of effluent $BOD_5$ concentrations was statistically analyzed to suggest limitation value. Effluent $BOD_5$ concentrations showed lognormal distribution and $95^{th}$ percentile was corresponded to 87.9 mg/L, which could be suggested as tentative effluent limitation in hospital industry. The $95^{th}$ percentile of log-transformed distribution showed similar value of 86.5 mg/L. This study demonstrated reasonable methodology for establishing effluent limitation reflecting wastewater characteristic and treatment technology in separately categorized industry.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.3
• /
• pp.1081-1089
• /
• 2013

The purpose of this paper is to suggest the formation plan of green cluster for the enhancement of green industry competitiveness in Korea. For this reason, this paper has the analysis to find out regional competitiveness and effective factors in the green industry. The major findings are as follows. First, the renewable energy industry was competitive at Gyeonggi, Gyeongnam, Chungbuk, Chungnam, Ulsan, Jeonnam, and the carbon reduction industry was competitive at Ulsan, Gyeonggi, Gyeongbuk,, Chungnam, Seoul, Chungbuk, Inchon. Second, the most important factors of the renewable energy industry was factor condition, such as business, labor, research and development; while in the carbon reduction industry was sector of structure and rivalry, such as performance, policy and institution, market share, industry specialization. Third, it showed that the green industry was more competitive at the local area with the better industrial infrastructure. So, we need to focus on the green of existing industry-infrastructure, and the strategy of selection and concentration, for the enhancement of green industry competitiveness in Korea.

• Journal of the Economic Geographical Society of Korea
• /
• v.6 no.2
• /
• pp.307-326
• /
• 2003

In Korea, as the state has played a vital role for industrial development, the location and development of industrial complexes have not been merely decided by economic factors but political and social factors as well. The location of industrial complexes in Chonbuk province has not been decided by industrial enterprises to be located there, but by investment strategies of the state. In the early stage of industrialization, Chonbuk could not attract a large-scale major complex because it had relatively inferior infrastructure for industry and uneasy access to overseas export markets, as compared to the capital region or the Southeast region of the country, and it has been left behind as a periphery in the national industrial system. Since 1980, the spatial policies for lessening regional disparities had much contributed to the development of industrial complexes in this province. The industrial complexes leading to the development of manufacturing activities in this region have also great influenced on structural changes of manufacturing as well as changes in the structure of the regional economy. Especially, capital goods manufacturing tends to increase in this region as the development of sectors required relative higher skill and technology mainly occurs in these complexes. And where the large-scale industrial complexes are located greatly influences the locational patterns of manufacturing in this province. The patterns of the industrial complexes in this region have concentrated in Chonju, Iksan, and Kusan, which are the largest cities in this province. Given these three cities to be very closely proximate, it seems to be easy to build network between them to develop the manufacturing activities in the near future.

• Journal of the Economic Geographical Society of Korea
• /
• v.27 no.1
• /
• pp.38-52
• /
• 2024

Digital transformation industry contributes to the improvement of productivity in overall industrial production, the smart green industry for carbon neutrality and sustainable growth is growing as a future industry. The purpose of this paper is to explore the status and role of the industry in the future industry innovation ecosystem through the analysis of the growth drivers and location pattern changes of the smart green industry. The industry is on the rise in both metropolitan and non-metropolitan areas, and the growth of the industry can be seen in non-metropolitan and non-urban areas. In particular, due to the smart green industrial complex pilot project, the creation of Gwangju Jeonnam Innovation City, and the promotion of new and renewable energy policies, the emergence of core aggregation areas (HH type) in the coastal areas of Honam and Chungcheongnam-do, and the formation of isolated centers (HL type) in the Gyeongsang region, new and renewable energy production companies are being accumulated in non-metropolitan areas. Therefore, the smart green industry is expected to promote the formation of various specialized spokes in non-urban areas in the future industrial innovation ecosystem that forms a multipolar hub-spoke network structure, where policy factors are the triggers for growth.

• Journal of the Korean association of regional geographers
• /
• v.13 no.4
• /
• pp.461-475
• /
• 2007

To understand the changing regionality of the Yanbian Korean Autonomous Prefecture(YKAP) in China within the world-economy, this paper examined the spatial division of labor in agriculture and industry with three divisions of period through the regional geography of world-system In the Japanese colonial period(l909$\sim$1949), the YKAP was made into a typical peripheral agricultural and industrial region which was exploited by the Japanese empire. In the socialist period(1949$\sim$1978) which China separated from the world-system, the YKAP was transformed into a socialistic agricultural and industrial region. In the reform and open-door period(1978$\sim$present), the YKAP still plays a role as a peripheral region due to the late open-door policy in 1992 of Chinese government on the border land and else, while most littoral areas of China are developed into a semi-peripheral region. Therefore if the YKAP continues to exist in the future, it is a critical matter to raise the position of the YKAP within the world-economy into a semi-periphery as soon as possible to increase the ratio of Korean ethnic in the YKAP.

• Journal of Korean Society of Rural Planning
• /
• v.4 no.1
• /
• pp.98-107
• /
• 1998

For efficient development of rural facilities, choice of their optimum locations would be an important issue, however, existing research works concentrated much more an allocation policy of urban industrial complex and public facilities than rural ones. In this study, because agricultural-cum-industrial complex has been the most widely developed representative one of rural facilities, it was selected as a case study facility. As a pre-study to system development, existing governmental location-decision system was checked and interviewing survey carried out to find out on-spot problems. And, being based on literature review and survey analysis results, 4-step optimum locational decision model was developed , formulation of locational goal system, ranking tabulation on components, determination of significance values of components, calculation of component scores. Finally, through the case study works on 3 sites, system applicability was checked, Considering together the simplicity problem of existing guidelines and the interviewing survey results favoring the diversified viewpoints, it would be necessary to develop multifaceted support system for locational decision making. 3-tier classification steps from the higher, middle to lower one were used and their underpinning viewpoints were sorted as on regional development, entrepreneurship, spatial rationality, from which a tentative locational goal system was formulated. Through the expert group checking, final locational goal system was determined having 3 of the higher classification items, 7 of the middle ones, 23 of the lower ogles. For ranking tabulation, 3 types of ranking criteria were arranged which were based on statistical analysis using mean and standard deviation(Type I ), its existence or not 1 good or not(Type E ), and the others(Type E ). From the significance evaluation results, regional development and entrepreneurship aspects were valued much higher than spatial rationality aspect. And, in the middle step, items as spread effects of regional economy, accessibility and social potentialities were highly valued while infrastructural development level and natural condition being low. The application results of the system to 3 case study total. However, the detailed ones differed among study the influencing effects on regional economy, and contrast greater the infrastructural development level. Conclusively, final evaluation values well represented the characteristics of each area. If this system be complemented and applied comprehensively by the successive studies, it would be developed to a general model of locational decision supporting system for rural facilities.

• Journal of the Korean Geographical Society
• /
• v.49 no.6
• /
• pp.935-948
• /
• 2014

As chronic diseases have become more prevalent and problematic, effective cares for major chronic diseases have been a locus of the healthcare policy. In this regard, this study examines how region-specific characteristics affect the prevalence of hypertension in South Korea. To analyze, we combined a unique multi-year data set including key indicators of health conditions and health behaviors at the 237 small administrative districts. The data are collected from the Annual Community Health Survey between 2009 and 2011 by Korea Centers for Disease Control and Prevention and other government organizations. For the purpose of investigating regional variations, we estimated using Geographically Weighted Regression (GWR) and decision tree model. Our finding first suggests that using the multi-year data is more legitimate than using the single-year data for the geographical analysis of chronic diseases, because the significant annual differences are observed in most variables. We also find that the prevalence of hypertension is more likely to be positively associated with the prevalence of diabetes and obesity but to be negatively associated with population density. More importantly, noticeable geographical variations in these factors are observed according to the results from the GWR. In line with this result, additional findings from the decision tree model suggest that primary influential factors that affect the hypertension prevalence are indeed heterogeneous across regional groups. Taken as a whole, accounting for geographical variations of health conditions, health behaviors and other socioeconomic factors is very important when the regionally customized healthcare policy is implemented to mitigate the hypertension prevalence. In short, our study sheds light on possible ways to manage the chronic diseases for policy makers in the local government.

• Journal of Environmental Impact Assessment
• /
• v.17 no.6
• /
• pp.335-348
• /
• 2008

The purpose of this study is to classify the cities on sustainability assessment score studied in advance using cluster analysis, to present efficient management and policy direction based on analysis of sustainability index in 45 cities of all over Gyeongsangnam and Gyeongsangbuk-do. According to the results of cluster analysis, 45 cities were classed into 4 clusters by "livable-welfare city", "environmental -ecological city", "scientific-technological city", and "industrial-economic city". The livable-welfare cities must keep superior environmental sustainability, promote small and medium sized business on regional characteristic. The environmental-ecological cities have to change agriculture into future environmental industry such as ecotourism, bio-industry and landscape agriculture. The scientific-technological cities are going to need support of government scale such as income enlargement of citizen and stable job security. Finally, the industrial-economic cities must increase environmental management plants and improve quality of life through securing green spaces, maintaining public peace and applying UIS because of low quality of environment and life.