• Title/Summary/Keyword: ENVIRONMENTAL POLICY CORRELATION

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Correlation analysis between climate indices and Korean precipitation and temperature using empirical mode decomposition : II. Correlation analysis (경험적 모드분해법을 이용한 기상인자와 우리나라 강수 및 기온의 상관관계 분석 : II. 상관관계 분석)

  • Ahn, Si-Kweon;Choi, Wonyoung;Shin, Hongjoon;Heo, Jun-Haeng
    • Journal of Korea Water Resources Association
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    • v.49 no.3
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    • pp.207-215
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    • 2016
  • In this study, it is analyzed how large scale climate variation has an effect on climate systems over Korea using correlation analysis between climate indices and Intrinsic Mode Functions (IMFs) of precipitation and temperature. For this purpose, the estimated IMFs of precipitation and temperature from the accompanying paper were used. Furthermore, cross correlation coefficients and lag time between climate indices and IMFs were calculated considering periodicities and tendencies. As results, more accurate correlation coefficients were obtained compared with those between climate indices and raw precipitation and temperature data. We found that the Korean climate is closely related with climate variations of $El-Ni{\tilde{n}}o$ in terms of periodicity and its tendency is followed with increasing sea surface temperature due to climate change.

A Meta-Analysis of Factors Related to Adolescent Problem Drinking (청소년 문제음주와 관련한 영향요인에 대한 메타분석)

  • Chung, Sulki;Kim, Ji Seon
    • Korean Journal of Health Education and Promotion
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    • v.31 no.1
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    • pp.71-83
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    • 2014
  • Objectives: This study examined the trend of alcohol-related research, with a specific focus on adolescent problem drinking, to provide evidence for prevention and intervention for adolescent alcohol problems and alcohol policy in Korea. Methods: A total of 17 studies examining adolescent problem drinking were included for meta-analysis. Using CMA (Comprehensive Meta-Analysis) 2.0, the effect sizes of correlation coefficients of variables related to adolescent problem drinking were analyzed. Results: 176 variables were extracted under 4 higher categories and 20 sub-categories. Variables were extracted using the four higher categories, namely individual, family, environmental, and demographics, as the theoretical framework. Results showed that most studies on adolescent problem drinking focused mostly on individual factors followed by family factors. Variables including drinking motivation, drinking expectancy, and peer relations showed relatively higher effect size. Conclusions: Study findings suggest the importance of balance between individual and environmental factors in examining problem drinking among adolescents. In order to provide evidence for alcohol policy, more attention should be given to macro environment that are known to influence adolescent drinking.

Quality of Life Using WHOQOL-Bref in Taegu (WHOQOL-Bref를 이용한 대구시민의 삶의 질)

  • 이종렬;박천만
    • Health Policy and Management
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    • v.10 no.3
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    • pp.129-154
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    • 2000
  • This study aims at providing the basic data necessary for developing a model of and the policies for the improved quality of life of the adult population by measuring and analyzing factors affecting the quality of life based on a WHOQOL-Bref survey of 1,200 persons above the age of 20 residing in Taegu Metropolitan City area. 1. The factors affecting their quality of life were measured as follows: The physical conditions got the highest point of 3.31 while the psychological conditions got 3.20 and the environmental conditions got the lowest point of 3.09. The overall quality of life was rated to be at 3.11 2. General conditions affecting the quality of life, such as the economic conditions, health conditions and stress all turned out to be variables having significant differences(p〈0.01) in all the factors affecting the quality of life. 3. Through the analysis, we also found out the positive correlation exists among all the factors determining the quality of life(p〈0.01), while the psychological factor turning out to have the highest correlation value(r=0.640) with the overall quality of life. 4. To find out the factors affecting all the aspects of quality of life, we also conducted a multiple regression analysis employing the general characteristics as an independent variable. The health, economic and stress conditions all turned out to be significant in all aspects(p〈0.01). Summarizing the above analysis, the quality of life has a high correlation with the psychological, physical and environmental conditions. It has also turned out that the health, economic and stress conditions have the greatest influence on the quality of life. Therefore, it is believed to be necessary that a comprehensive program be developed to promote the public health and to formulate a model for improvement of the people's quality of life that can enhance their physical, psychological and social health conditions.

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Bioclimatic Classification and Characterization in South Korea (남한의 생물기후권역 구분과 특성 규명)

  • Choi, Yu-Young;Lim, Chul-Hee;Ryu, Ji-Eun;Piao, Dongfan;Kang, Jin-Young;Zhu, Weihong;Cui, Guishan;Lee, Woo-Kyun;Jeon, Seong-Woo
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.20 no.3
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    • pp.1-18
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    • 2017
  • This study constructed a high-resolution bioclimatic classification map of South Korea which classifies land into homogeneous zones by similar environment properties using advanced statistical techniques compared to existing ecological area classification studies. The climate data provided by WorldClim(1960-1990) were used to generate 27 bioclimatic variables affecting biological habitats, and key environmental variables were derived from Correlation Analysis and Principal Component Analysis. Clustering Analysis was performed using the ISODATA method to construct a 30'(~1km) resolution bioclimatic classification map. South Korea was divided into 21 regions and the results of classification were verified by correlation analysis with the Gross Primary Production(GPP), Actual Vegetation map made by the Ministry of Environment. Each zones' were described and named by its environmental characteristics and major vegetation distribution. This study could provide useful spatial frameworks to support ecosystem research, monitoring and policy decisions.

An Empirical Study on the Relationship between Environmental and financial Performance : A Case in Korean Manufacturing Sector (환경성과와 재무성과의 상관관계에 관한 실증연구 - 우리나라 상장 제조업체를 중심으로 -)

  • Hong, Jong-Ho;An, Il-Hwan
    • Journal of Environmental Policy
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    • v.6 no.4
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    • pp.83-101
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    • 2007
  • We try to analyze the relationship between environmental and financial performance in the Korean manufacturing sector. The lack of reliable information on company-level environmental performance in Korea has inhibited research on this subject. This paper utilizes an objective data set called 'Monthly Environmental Violations Report,' published by the Korean Ministry of Environment, among others, in measuring the environmental performance of the listed companies. The result shows that low polluters tend to perform better financially than high polluters. In addition, the correlation between positive environmental performance and financial performance turns out to be statistically more significant than negative environmental and financial performance.

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Efficiency Study of Measurement Method by Flow Duration (유황별 유속측정 방법에 따른 유효성 연구)

  • Ham, Sang In;Lee, Jeong Hwan;Kim, Dae Young;Ha, Don Woo;Kim, Yoon Soo;Jung, Kang-Young;Lee, Yeong Jae;Kim, Gyeong Hyeon;Kim, Young Suk
    • Journal of Korean Society on Water Environment
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    • v.34 no.5
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    • pp.462-469
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    • 2018
  • There are differences in method and cycle of flow rate survey depending on purpose of the operating department. To verify and use results of flow data according to the purpose, flow data of the directly measured and tele monitoring system were compared to verify validity. Flow measurement in the Ministry of Environment is aimed at setting up a standard flow of target water quality for water quality management and securing flow data of low and normal water level seasons for water quality evaluation. In this study, correlation analysis result ($R^2$) of same time zone data by direct measurement and tele monitoring system (TMS) at Seombon D point, a unit watershed of Seomjin river, for six years ('10 ~ '15) according to implementation of Total Daily Maximum Load (TDML) was wading 0.716, boating 0.962 and on bridge 0.943, and effectiveness of measurement method was verified by characteristics of flow duration as a season of dry and low-water; normal and high water are appropriate for wading, boating, and on bridge respectively. Results revealed it is reasonable to use directly measured results using the wading and boating method for low water level and dry seasons, and TMS data for rainy seasons. It can be used important data for future policy decisions.

An Empirical Analysis on the Relation of Environmental and Financial Performances: Default Risk Approach (파산위험을 이용한 기업의 재무성과와 환경성과의 관계 분석)

  • Hong, Chung-Hun;Lee, Soo-Kyoung
    • Journal of Environmental Policy
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    • v.5 no.3
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    • pp.1-24
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    • 2006
  • As the social responsibility of corporations becomes more important, recently, many corporations have made constant efforts to preserve natural environment. Environmental investments had been traditionally thought as cost factors and sources of negative effects on a firm's financial performances. In this study, we explore the relation of financial and environmental performances of Korean corporations. We use default probability as well as ROE as indicators of financial performances. We find that there is positive correlation between ROE and environmental performance, and negative correlation between default probability and environmental performance. This implies that Korean corporations should recognize environmental investment as means of improving corporate value.

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Analysis Techniques for Accident Causes of Subcontract Work at Construction Site (전문 건설공사 재해원인 분석 기법에 관한 연구)

  • Son, Ki-Sang;Rhee, Kyung-Yong;Gal, Won-Mo
    • Journal of the Korean Society of Safety
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    • v.24 no.5
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    • pp.34-42
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    • 2009
  • There are many accident causes related to even an accident. As well four(4) stepped causes of one accident at construction sites are analyzed in the study. First, eleven(11) cause factors are set up at each step such as policy level, management, indirect, direct level which are discussed and determined by field experts with 15year experience or more. Therefore, one direct cause occurred in construction site can be connected to the previous cause than in direct and management, and policy problem of previous management. These questionnaires results are analyzed with three different methods such as weighing level by Delphi technique, correlation analysis, critical pass method. Three different methods show their characteristic to see which subcontract work is more dangerous or not. Subcontract or at a construction site can be use the above three different cases as they need at their site in order to make more effective countermeasures.

Korean Companies' Understanding of Carbon Pricing and Its Influence on Policy Acceptance and Practices (한국 기업의 탄소가격 정책에 대한 이해가 정책 수락 및 대응에 미치는 영향)

  • Suk, Sunhee
    • Environmental and Resource Economics Review
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    • v.26 no.4
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    • pp.577-612
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    • 2017
  • In response to climate change, Korea is attempting to shift the paradigm of energy and climate change policies by introducing carbon pricing based on market mechanisms. While policy adoption is proceeding at a rapid pace, the introduction of carbon pricing has been faced with great opposition from industry. This study measures to what extent Korean companies understand and accept carbon pricing, using data from a questionnaire survey covering energy consuming companies in 2012, when discussions between the government and such companies about the introduction of a domestic emission trading system were active. It further identifies how preparations and practices for carbon and energy management of companies correlate with their policy understanding and acceptance. The analysis results show that the surveyed companies indicate moderate understanding of, as well as resistance to carbon pricing policies, while appreciating the economic incentives and accepting the mandatory regulations in this phase. Companies' understanding is more related to characteristics, i.e., sector, size, etc. than external pressures. This study found that the extent to which companies understand policy is the essential factor in their policy acceptance and related practices. In particular, understanding of carbon policy significantly influences their managerial practices and voluntary activities for carbon and energy practices. This study substantiates the correlation between the level of policy understanding of a company and its carbon and energy practices - something that all countries seeking to introduce carbon pricing in response to climate change should consider prior to policy actually being implemented; in other words, enhancing the understanding of major policy subjects of the new instrument is a key policy strategy that should be elaborated as it will lead to better performance of companies and smoother policy implementation.

An Empirical Analysis on Correlation between Carbon Emission and Urban Spatial Structure (도시공간구조와 탄소배출량간 상관관계 실증 분석)

  • Ryu, Yoon-Jin;Sohn, Se-Hyoung;Kim, Do-Nyun
    • Journal of Korean Society for Atmospheric Environment
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    • v.28 no.3
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    • pp.273-281
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    • 2012
  • The government is carrying forward a sustainable development which reduces green-house gas and environmental pollution by preparing 'Low Carbon Green Development' policy basis as a new paradigm of national development. This study aims to understand the status of atmosphere contamination which Seoul has by finding correlation among social, economical indexes and carbon, the humanities and social characteristic materials which best express types of city and correlation and to suggest implications. According to the results of the analysis, first the carbon emission volume of Seoul recorded 0.56 ppm, Jongno, Jung-Gu, Kuro, Kangnam and Songpa were more than the average of Seoul and Kwangjin-Gu & Kangbuk-Gu, relative north east regions, Yeongdeungpo-Gu and Dongjak-Gu, south west regions showed lower CO occurrences. Second, according to the correlation and factor analysis, elements which affect CO emission volume of Seoul are largely represented by regional level, traffic level and development density level. Third, when the importance of influence factors based on the analyzed standard coefficient by a regression model, traffic and development density level were most important by recording traffic level (0.967), environmental level (0.385), regional level (0.530) and development density (0.561). Consequently, it was revealed that the traffic level most affected CO emission.