• Title/Summary/Keyword: Regional Analysis

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Regional Change and Location of Industrial Complex: A Case of Yeochon National Industrial Complex of Korea (공업단지의 입지와 지역변화에 관한 연구: 여천산단을 사례로)

  • 이정록
    • Journal of the Economic Geographical Society of Korea
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    • v.5 no.2
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    • pp.137-155
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    • 2002
  • The purpose of this study is concerned with the relationship between the location of industrial complex and regional changes. Yeochon National Industrial Complex(YNIC) was dedicated as an industrial site in 1967 according to a part of the Korean government's plan of developing for heavey chemical industry. Yeochun city has been changed with location and establishment of YNIC since 1969. The establishment of YNIC have influence upon the increase of population and employment, urban development, and growth of regional economy within research areas including of Yeochun city, Yeochun county, and Yeosu city. In addition, with the establishment of YNIC, the regional economical structure was progressed from farm and fishery oriented sector to manufacturing oriented sector, thus the petrochemical business related companies hold a majority among regional manufacturing structure. We used the shift-share analysis and regional growth rate differential analysis in order to examine the characteristics revealed in the transformation of employment and industrial structure. The petrochemical related manufacturing and construction industries provided a great influence on the growth of regional employment.

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Impact Analysis on the Regional Economy Affected by Environmental Regulations (환경규제가 지역경제에 미치는 파급효과 분석)

  • 김호언
    • Journal of the Korean Regional Science Association
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    • v.15 no.3
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    • pp.1-13
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    • 1999
  • Since the 1990's, the most important environmental issue on the earth is characterized by "global worming problem". The United Nations Framework Convention on Climate Change (UNFCCC) plays an significant role to solve this problem on a worldwide scale. The main purpose of this paper is to analyse the impact of $CO_2$ reduction on the Daegu regional economy through 1995 regional input-output coefficients derived from the 1995 national input coefficients table by using non-survey method. The sectoral impacts on output, income, and employment were computed under the decline-unequalized assumption in final demand influenced by $CO_2$ reduction. This article has six main sections. Section 1 is an introduction to this paper. Section 2 explains briefly the derivation method of the regional technical coefficients. Section 3 describes the model building through input-output multipliers. In section 4 regional data on output, income, employment and final demand are computed to estimate the regional impacts. Section 5 deals with impact analysis on the Daegu economy. Section 6 contains a brief summary and concludintg remarks. The research findings of this study can be summarized as follows. In 1995, under the assumption of 10% decrease on an average in final demand sectors, the economy of the region studied decreased \3600 billion of output, ₩1114 billion of income, and 49919 man-years of employment. The percent ratios of each value to the total showed 9.4%, 9.7%, and 9.2%, respectively. The dominant sectors associated with impact analysis within the region are chemicals and chemical products, paper, printing and publishing, and textiles and leather, etc; nevertheless, the least dominant sector is non-metallic mineral products. products.

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Analysing the Effects of Regional Factors on the Regional Variation of Obesity Rates Using the Geographically Weighted Regression (공간분석을 이용한 지역별 비만율에 영향을 미치는 요인분석)

  • Kim, Da Yang;Kwak, Jin-Mi;Seo, Eun-Won;Lee, Kwang-Soo
    • Health Policy and Management
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    • v.26 no.4
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    • pp.271-278
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    • 2016
  • Background: This study purposed to analyze the relationship between regional obesity rates and regional variables. Methods: Data was collected from the Korean Statistical Information Service (KOSIS) and Community Health Survey in 2012. The units of analysis were administrative districts such as city, county, and district. The dependent variable was the age-sex adjusted regional obesity rates. The independent variables were selected to represent four aspects of regions: health behaviour factor, psychological factor, socio-economic factor, and physical environment factor. Along with the traditional ordinary least square (OLS) regression analysis model, this study applied geographically weighted regression (GWR) analysis to calculate the regression coefficients for each region. Results: The OLS results showed that there were significant differences in regional obesity rates in high-risk drinking, walking, depression, and financial independence. The GWR results showed that the size of regression coefficients in independent variables was differed by regions. Conclusion: Our results can help in providing useful information for health policy makers. Regional characteristics should be considered when allocating health resources and developing health-related programs.

Analysis of Productivity by Environmental Factors in Regional Base Public Hospitals (지역거점 공공병원의 환경적 요인에 따른 생산성 분석)

  • Lee, Jinwoo
    • Korea Journal of Hospital Management
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    • v.22 no.3
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    • pp.46-60
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    • 2017
  • The purpose of this study is to analyze the difference of productivity according to environmental factors among 25 Regional base public hospitals. Also this study is to propose a method to improve the productivity of Regional base public hospitals in the future by improving the public performance and stable management performance by studying the productivity variables affecting profitability. The survey period was based on the last three years, and 25 Regional base public hospitals were selected for the survey. The dependent variable is the total capital medical marginal profitability and the medical profit marginal profitability which are the indicators of profitability. The independent variable, productivity, is classified into three indicators: capital productivity, labor productivity, and value added productivity. The ANOVA analysis method was used to analyze the productivity difference according to the frequency factor and the environmental factors of the Regional base public hospitals. Finally, we conducted a hierarchical regression analysis to examine the productivity variables affecting profitability. The results of this study showed that there were differences in productivity due to environmental factors such as hospital size, competition in the local medical market, and differences in management performance. The difference in productivity and profitability depending on the environmental factors suggests that it is difficult for Regional base public hospitals in each regional base to perform a balanced public service. In order to overcome this, it is necessary to provide balanced medical services such as government financial support expansion, regional medical demand forecasting and facility infrastructure construction.

Monitoring and Exposure Assessment of Pesticide Residues in Domestic Agricultural Products (국내 유통 다소비 농산물의 잔류농약 모니터링 및 노출평가)

  • Kang, Namsuk;Kim, Seongcheol;Kang, Yoonjung;Kim, Dohyeong;Jang, Jinwook;Won, Sera;Hyun, Jaehee;Kim, Dongeon;Jeong, Il-Yong;Rhee, Gyuseek;Shin, Yeongmin;Joung, Dong Yun;Kim, Sang Yub;Park, Juyoung;Kwon, Kisung;Ji, Youngae
    • The Korean Journal of Pesticide Science
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    • v.19 no.1
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    • pp.32-40
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    • 2015
  • This study was implemented to evaluate food safety on residual pesticides in agricultural products of Korea and to use as a data base for the establishment of food policy. A total of 196 pesticide upon these products were analyzed using multi class pesticide multiresidue methods of Korean Food Code, and 232 samples of 15 agricultural products collected from 9 regions were supplied for this study. In the results, 64 kinds of pesticides were detected in 53 samples, chlorpyrifos and procymidone of them were shown a high frequency of detection in the analyzed pesticides. Among them, two samples (chlorpyrifos in perilla leaves and picoxystrobin in peach) were detected over Maximum Residue Limits (MRLs). The levels of the detected pesticide residues were within safe levels. Also, the intake assessment for pesticide residues including chlorpyrifos at multi pesticide residue monitoring were carried out. The result showed that the ratio of EDI (estimated daily intake) to ADI (acceptable daily intake) was 0.001~0.902% which means that the detected pesticide residues were in a safe range so that residual pesticides in the agricultural products in Korea are properly controlled.

Big Data Empirical Analysis on the Impact of Investment and Nurturing Support on Gross Regional Product (투자 및 육성지원이 지역내총생산에 미치는 영향에 관한 빅 데이터 실증분석)

  • An, Dong-gyu;Shin, Choong-ho
    • Industry Promotion Research
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    • v.5 no.3
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    • pp.45-51
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    • 2020
  • This study analyzed the influence of investment and fostering support on gross regional product by utilizing big data using multiple regression analysis. Gross regional product (GRDP) is an index that intensively contains the production scale, expenditure level, income level, and industrial structure of each region, and is an important data used for regional economic analysis and national policy establishment. In order to properly carry out the country's major national tasks, it is necessary to accurately grasp the regional economy, and as a result, interest in regional gross domestic product is rapidly increasing. In particular, foreign investment has a significant impact on the economy of the host country, and many empirical analyzes are being conducted. In this study, correlation analysis and multiple regression analysis were conducted to examine the influence of foreign investment and domestic development support on gross regional product, and as a result, it was concluded that investment and support as a whole had a positive effect on gross regional product.

Detection and Monitoring of Benzylpenicillin Residues in Livestock and Marine Products (유통 축·수산물 중 잔류벤질페니실린의 검출 및 모니터링)

  • Lee, Hyo Jeong;Kang, Young Won;Lee, Soo Min;An, Kyung A;Lee, Ryun Kyung;Seo, Sang Cheol;Lee, Ju Hee;Im, Moo Hyeog;Lee, Jeong Rim;Hong, Choong Man;Chang, Moon Ik;Cho, Yoon Jae
    • Korean Journal of Food Science and Technology
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    • v.46 no.3
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    • pp.288-294
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    • 2014
  • Penicillin and its salts, including the benzatine, procaine, and sodium salts, have been widely used in human and veterinary medicine. Owing to their low toxicity, they currently form the most important group of antibiotics. However, overdose and abuse of these antibiotics may lead to potential risk in human health. Therefore, this study was conducted to validate the analysis method established by the Korea Food Code in 2012 and to monitor the levels of benzylpenicillin residues in products with reference to the maximum residue level (MRL). Of the 232 product samples tested, benzylpenicillin was detected in 11 livestock products and 2 marine products. Benzylpenicillin concentrations were found to be lower than the MRL in 12 products; however, the concentration of benzylpenicillin was found to be greater than the MRL in 1 pork product. The limit of quantification (LOQ) for benzylpenicillin was found to be 0.001-0.002 mg/kg, with an average recovery of 90.4-115.3%. Calibrations showed good linearity of 0.995 over a range of 0.002-0.05 mg/kg.

Spatial Distribution of Diabetes Prevalence Rates and Its Relationship with the Regional Characteristics (당뇨병 유병률의 지역 간 변이와 지역 특성과의 관계 분석)

  • Jo, Eun-Kyung;Seo, Eun-Won;Lee, Kwang-Soo
    • Health Policy and Management
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    • v.26 no.1
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    • pp.30-38
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    • 2016
  • Background: This study purposed to analyze the relationship between spatial distribution of Diabetes prevalence rates and regional variables. Methods: The unit of analysis was administrative districts of city gun gu. Dependent variable was the age- and sex- adjusted diabetes prevalence rates and regional variables were selected to represent three aspects: demographic and socioeconomic factor, health and medical factor, and physical environment factor. Along with the traditional ordinary least square (OLS) regression analysis, geographically weighted regression (GWR) was applied for the spatial analysis. Results: Analysis results showed that age- and sex-adjusted diabetes prevalence rates were varied depending on regions. OLS regression showed that diabetes prevalence rates had significant relationships with percent of population over age 65 and financial independence rate. In GWR, the effects of regional variables were not consistent. These results provide information to health policy makers. Conclusion: Regional characteristics should be considered in allocating health resources and developing health related programs for the regional disease management.

An Analysis of the Effect of Regional Strategic Industries on Regional Economic Growth -The Case of ChungNam Province- (지역전략산업의 지역경제성장 효과분석 -충청남도를 중심으로-)

  • Kim, Dae-Jung;Kim, Tae-Yeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.4
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    • pp.2085-2092
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    • 2014
  • This study aims at finding the effects, problems and implication of the regional economic growth led by regional strategic industries in the Chungnam Province. It identifies the contribution of regional strategic industries in the regional economic growth even though there is somewhat difference between the sub-sectors of the industries. It also finds out some problems with the selection and implementation processes. In order to improve the regional industrial policy, it need to apply portfolio type of regional industrial development strategy on according to the typology of the industrial growth stages.