• 환경영향평가
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• 제20권6호
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• pp.891-905
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• 2011

Climate vulnerability index is usually defined as a function of the climate exposure, sensitivity, and adaptive capacity, which requires adequate selection of proxy variables of each variable. We selected and used 9 proxy variables related to climate exposure in the literature, and diagnosed the adequacy of them for application in Korean peninsula. The selected proxy variables are: four variables from temperature, three from precipitation, one from wind speed, and one from relative humidity. We collected climate data over both previous year (1981~2010) and future climate scenario (A1B scenario of IPCC SERES) for 2020, 2050, and 2100. We introduced the spatial and temporal diagnostic statistical parameters, and evaluated both spatial and time variabilities in the relative scale. Of 9 proxy variables, effective humidity indicated the most sensitive to climate change temporally with the biggest spatial variability, implying a good proxy variable in diagnostics of climate change vulnerability in Korea. The second most sensitive variable is the frequency of strong wind speed with a decreasing trend, suggesting that it should be used carefully or may not be of broad utility as a proxy variable in Korea. The A1B scenario of future climate in 2020, 2050 and 2100 matches well with the extension of linear trend of observed variables during 1981~2010, indicating that, except for strong wind speed, the selected proxy variables can be effectively used in calculating the vulnerability index for both past and future climate over Korea. Other local variabilities for the past and future climate in association with climate exposure variables are also discussed here.

• 한국물환경학회지
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• 제28권3호
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• pp.444-452
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• 2012

This study aims at assessing vulnerability of water quality and aquatic ecosystem to climate change by using proxy variables. Vulnerability to climate change is defined as a function of exposure to climate, sensitivity, and adaptive capacity. Detailed proxy variables were selected considering availability and then standardized by re-scaling concept. After adequate weights were assigned to standardized proxy variables by Delphi technique, vulnerability index was calculated. As results, vulnerability of adjacent regions to coastal areas include water quality and aquatic ecosystem is relatively higher than that of inland areas, and especially adjacent region to the western and southeast seas, and Jeju show high vulnerabilities. Vulnerability in the future was performed based on A1B scenario (IPCC, 2000). Temporally, the increase of vulnerability from 2050s to 2100s may be larger than the increase from 2000s to 2050s. Because vulnerability index was estimated through the relationship among various proxy variables, it is important to consider characteristics of local region with measurements and policies for reduction of sensitivity and enhancement of adaptive capacity on climate change. This study is expected to be useful in planning adaptation measures and selecting priority to the policy on climate change.

• 한국농공학회논문집
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• 제55권1호
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• pp.31-38
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• 2013

The purpose of this study was to evaluate climate change vulnerability over the agricultural infrastructure in terms of flood and drought using principal component analysis. Vulnerability was assessed using vulnerability resilience index (VRI) which combines climate exposure, sensitivity, and adaptive capacity. Ten flood proxy variables and six drought proxy variables for the vulnerability assessment were selected by opinions of researchers and experts. The statistical data on 16 proxy variables for the local governments (Si, Do) were collected. To identify major variables and to explain the trend in whole data set, principal component analysis (PCA) was conducted. The result of PCA showed that the first 3 principal components explained approximately 83 % and 89 % of the total variance for the flood and drought, respectively. VRI assessment for the local governments based on the PCA results indicated that provinces where having the relatively large cultivation areas were categorized as vulnerable to climate change.

• The Journal of Asian Finance, Economics and Business
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• 제9권10호
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• pp.105-113
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• 2022

The purpose of this paper is to analyze the relationship between the ratio of non-controlling shareholder interests (minority equity ratio, MER) and the measurement error in real activities manipulation (RM) proxy for Japanese firms. Many Japanese firms have practiced stakeholder-oriented corporate governance systems. Previous studies suggest that the higher the MER, the more Japanese businesses tend to employ management techniques for the group's sales growth while also reallocating resources inside the group to reduce principal-principal conflicts. Such differences in management strategies by firms could lead to measurement error in the RM proxy. The analysis uses 16,450 firm-years listed on the Tokyo Stock Exchange. The results of our analysis show that there is a positive relationship between MER and the RM proxy, and high persistence of RM proxies, suggesting that the RM proxies may contain measurement error. We also find that MER is correlated with variables associated with management strategy and that controlling for these variables can reduce the measurement error of RM proxy in firms with large MER. This study extends previous research on measurement error in RM proxy by relating them to ownership structure and corporate governance. This paper would contribute to researchers examining issues related to RM.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.11-14
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• 2003

The dynamics of unobservable short rate are frequently estimated directly by using a proxy. We estimate the biases resulting from this practice ("proxy problem"). To solve this problem, State-Space models have been proposed by many researchers. State-Space models have been used to estimate the unobservable variables from the observable variables in econometrics. However, applications of State-Space models often result in a misleading interpretation of the underlying processes especially when the absorbability of the State-Space model and the assumption of noise processes in the state vector are not properly considered. In this study, we propose the exact State-Space model that properly considers the faults of previous researchers to solve the proxy problem.

• 한국아동복지학
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• 제26호
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• pp.113-137
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• 2008

본 연구는 빈곤 관련 선행연구들이 빈곤의 영향을 측정할 때 빈곤지위, 빈곤대리지표, 빈곤동반 위험요소들을 혼용함으로써 빈곤과 사회정서적 발달 간의 관계를 일관되게 분석해내지 못했다는 문제제기에서 출발한다. 이에 빈곤이 아동의 사회 정서발달에 미치는 영향을 보다 면밀히 분석하기 위하여 욕구소득비 기준으로 산정한 절대빈곤 지위와 기존 국내 선행연구에서 활용된 다양한 빈곤관련 대리 지표를 비교분석하였다. 또한 절대 빈곤 지위를 통제한 상태에서 중요한 빈곤동반 위험요소의 영향력을 분석함으로써 빈곤의 효과와 이러한 빈곤동반 위험요소의 영향력을 체계적으로 비교, 고찰하였다. 분석 대상 자료는 아동가구에 대한 소득정보 및 아동 발달 자료가 체계적으로 수집된 서울아동패널의 1차년도 자료를 활용하였다. 분석 결과, 최저생계비 이하 절대빈곤지위가 공공부조 수급 여부, 주관적인 사회 경제적 지위, 주관적인 경제적 어려움, 영구임대아파트 거주 여부와 같은 빈곤 대리변수들에 비해 보다 일관되게 사회정서적 발달영역과 유의미한 상관을 보였다. 빈곤 지위의 영향력을 통제한 상태에서 빈곤 동반 위험요소의 영향력을 살펴본 결과에서는 아동학대나 구조적 결손 등과 같은 보다 많은 빈곤 동반 위험에 처한 아동들이 사회정서적 발달에 취약한 것으로 나타남을 확인할 수 있었다. 결론에서는 이러한 결과를 바탕으로 빈곤 아동에 분석에서 고려해야 할 연구방법론적 함의와 더불어 빈곤아동에 대한 실천적, 정책적 개입 방향을 포괄적으로 제시하였다.

• Industrial Engineering and Management Systems
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• 제12권4호
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• pp.406-415
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• 2013

The present study examines a set of financial ratios in predicting the up or down movements of stock prices in the context of a securities law, the Sarbanes-Oxley Act of 2002 (SOA), controlling for macroeconomic variables. Using the logistic regression with proxy betas to alleviate the incompatibility problem between the firm-specific financial ratios and macroeconomic indicators, we report evidence that financial ratios are meaningful predictors of stock price changes, which subdue the influence of macroeconomic indicators on stock returns, and more importantly that the SOA truly improves the stock price predictability of financial ratios for the markup sample. The empirical results further suggest that industry and time effects exist and that for the markdown sample the SOA actually deteriorates the predictive power of financial ratios.

• 가정과삶의질연구
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• 제18권2호
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• pp.45-60
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• 2000

The purpose of this study was to examine the relationship between household productivity and market productivity of the married men in their early adulthood. Proxy variables of the household productivity were housework time, family cohesion·adaptability and family economic resource. Also proxy variables of the market productivity were job performance, job satisfaction and wage. The main result were as follows: First, men's housework time is insignificantly related to men's job performance, job satisfaction, and wage. But men's housework time is reduced as men's wage. Second, family cohesion·adaptability is significantly and positively related to the married men's job performance. The married men's job performance is significantly and positively related to the family cohesion·adaptability.

• Environmental Analysis Health and Toxicology
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• 제30권sup호
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• pp.3.1-3.11
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• 2015

Objectives This study presents the indicators and proxy variables for the quantitative assessment of green chemistry technologies and evaluates the relative importance of each assessment element by consulting experts from the fields of ecology, chemistry, safety, and public health. Methods The results collected were subjected to an analytic hierarchy process to obtain the weights of the indicators and the proxy variables. Results These weights may prove useful in avoiding having to resort to qualitative means in absence of weights between indicators when integrating the results of quantitative assessment by indicator. Conclusions This study points to the limitations of current quantitative assessment techniques for green chemistry technologies and seeks to present the future direction for quantitative assessment of green chemistry technologies.

• 농촌지도와개발
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• 제30권1호
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• pp.43-52
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• 2023

This study aims to examine the effects of GDP as a proxy variable of income, consumer price index as a proxy variable of price, and foot-and-mouth disease and avian influenza as derby variables on rural tourism demand. The independent variables in this research were gross domestic product(GDP), consumer price index(CPI), and dummy variable(DM) such as food & mouth disease & highly pathogenic avian influenza. Results showed that GDP affected tourism demand positively whereas DM influenced negatively. The study suggested that it was important for policy-mconsider GDP and DM when making decision on strategic tourism management. In conclusion, first, gross domestic product was found to have a statistically significant effect on rural tourism demand. Second, avian influenza was found to have a statistically negative effect on rural tourism demand. The results of this study can be used to establish a reasonable rural tourism policy in the future economic dimension.