• 수산경영론집
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• 제43권3호
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• pp.75-87
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• 2012

Today, the Korean fisheries is undergoing significant hardships, both domestically and internationally. While declining amount of catch, ascending international oil prices and others pose a compelling challenge to the fishing sector, the ever strengthening influence of international institutions related to fisheries and international trade organizations also compel to bring about myriad of changes in the realm of fishery products. Against the backdrop, this study attempted to examine the fisheries catch, aquaculture, service, processing fields in terms of its rippling effect and of how the industry has been changed by analyzing the past and present through an input-output analysis. As for research methods, 168 items of the input-output tables in 2000, 2005, 2009, and 2010 were integrated to form and classify 32 sectors (28 basic sectors + catch, aquaculture, fishery service, processed fishery products) so as to generate production inducement coefficient, sensitivity coefficient, and impact coefficient. The analysis results revealed that : though the linkage effect of fishery industry was not very sizable, the impact coefficient of the processed fishery products was high; the consumption and investment coefficient sector among production inducement coefficient was on an upturn trend ; the export coefficient was tended to decline. In the future research, it is necessary to carry out a study based on the integration of detailed classification (404 sector) and a study and analysis of fishery industry by different regions through the inter-regional input-output tables. The fishery industry is one of the crucial industries in Korea. The fishery industry is not only important in its own right but also significant as it exerts influence over other industries. Therefore, it is required that there should be more investment and supports for the development of the fishery industry, and pay efforts to ensure that the investment and development could lead to mutual growth for both the fishery and other various industries.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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• pp.35-52
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• 2020

Purpose Local governments in each region actively hold local festivals for the purpose of promoting the region and revitalizing the local economy. Existing studies related to local festivals have been actively conducted in tourism and related academic fields. Empirical studies to understand the effects of latent variables on local festivals and studies to analyze the regional economic impacts of festivals occupy a large proportion. Despite of practical need, since few researches have been conducted to predict the number of visitors, one of the criteria for evaluating the performance of local festivals, this study developed a model for predicting the number of visitors through various observed variables using a machine learning algorithm and derived its implications. Design/methodology/approach For a total of 593 festivals held in 2018, 6 variables related to the region considering population size, administrative division, and accessibility, and 15 variables related to the festival such as the degree of publicity and word of mouth, invitation singer, weather and budget were set for the training data in machine learning algorithm. Since the number of visitors is a continuous numerical data, random forest, Adaboost, and linear regression that can perform regression analysis among the machine learning algorithms were used. Findings This study confirmed that a prediction of the number of visitors to local festivals is possible using a machine learning algorithm, and the possibility of using machine learning in research in the tourism and related academic fields, including the study of local festivals, was captured. From a practical point of view, the model developed in this study is used to predict the number of visitors to the festival to be held in the future, so that the festival can be evaluated in advance and the demand for related facilities, etc. can be utilized. In addition, the RReliefF rank result can be used. Considering this, it will be possible to improve the existing local festivals or refer to the planning of a new festival.

• 벤처창업연구
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• 제10권5호
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• pp.93-103
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• 2015

주거환경은 거주자의 독특한 특성에 영향을 받는 물리적인 측면뿐만 아니라 사회적, 경제적, 문화적 등 많은 환경적 요소들과 밀접하게 관련되어 있다. 본 연구는 주거선택속성의 이론을 바탕으로 서초구의 이미지와 지각된 가치를 매개로 애호도에 미치는 영향을 규명하고, 경험적으로 주거환경의 선택속성이 애호도와의 관계에서 이미지와 지각된 가치의 매개효과를 분석하고자 한다. 분석방법은 설문지를 배포하여 SPSS 통계 프로그램을 사용하여 분석하였으며, 그 결과는 다음과 같다. 주거선택속성은 지역 명성, 녹색환경, 편리성, 부동산 가치, 안전성, 주택상태의 6개 요인으로 나타났으며, 분석결과 주거선택속성은 애호도에 정적인 영향을 미치는 것으로 나타났다. 둘째, 매개효과를 검증하기 위해 3단계 회귀분석을 사용한 결과 이미지와 지각된 가치는 정적인 영향을 미침으로서 매개효과가 규명되었다. 이러한 결과는 서초구의 애호도를 증가시키기 위해서는 물리적인 환경요소뿐만 아니라 이미지와 지각된 가치를 관리하는 것이 필요하다.

• 정보화정책
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• 제18권4호
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• pp.103-137
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• 2011

1990년대 이후 인터넷 등 정보화기기의 급속한 발전 및 보급으로 디지털 디바이드(Digital Divide : 정보격차)는 정보화 사회의 주요 정치, 경제, 사회적 이슈로 떠올랐다. 또 정보격차 문제를 규명하고 이를 해결하기 위한 많은 정책적 노력과 학문적 연구들이 진행되어 왔다. 이에 본 연구는 지난 2000년부터 2011년까지 약 10년간 진행된 정보격차와 관련된 다양한 연구들을 체계적으로 정리하고자 했다. 이를 위해 Engineering Village 2(EV2) 데이터베이스를 활용, 정보격차와 관련된 기존 연구들에 대한 자료를 수집했으며 연구자가 설정한 기준에 따라 이를 분석하고 분석결과를 정리했다. 20여년 간의 관심과 지속적인 노력에도 불구하고 정보격차는 여전히 현재진행형인 이슈로 기존의 연구경향을 분석 정리한 본 연구는 향후 정보격차에 대한 후속연구에도 도움이 될 수 있을 것으로 기대된다.

• 노동경제논집
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• 제25권2호
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• pp.1-32
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• 2002

본 연구에서는 경기변동에 따라 그리고 지역에 따라 달라지는 실업률에 임금이 얼마나 유연하게 반응하는가를 분석한다. 분석의 주된 결과는 다음과 같다. 첫째, 최근의 패널데이터에 근거한 많은 외국의 연구 결과와 마찬가지로 실질임금의 경기순응성(procyclicality)은 매우 크게 추정되었다. 실업률이 1퍼센티지 포인트 하락할 때 실질임금률은 약 3.25% 상승하는 것으로 나타났다. 또한 실질임금의 경기순응성은 여성보다는 남성에게 있어서 더 크게 나타났다. 둘째, Blanchflower and Oswald(1990, 1994, 1995)가 발견한 임금곡선(wage curve)이 우리나라에서도 존재하는 것으로 나타났다. 그러나 그 탄력성의 절대값은 0.1보다는 작게 나타났다. 또한 실질임금률과 지역실업률의 관계는 영구적인 부분(permanent component)에 있어서나 일시적인 부분(transitory element)에 있어서나 부(-)의 상관관계가 있는 것으로 나타났다. 셋째, 본 연구에서 가장 선호하는 모형인 지역실업률과 총실업률을 동시에 포함시킨 임금함수의 추정에서, 임금은 주로 총실업률에 의해 결정되며 지역 실업률의 효과는 미미한 것으로 나타났다. 이는 임금이 일차적으로는 지역노동시장 여건에 의해 결정된다는 Blanchflower and Oswald(1994)의 주장이 적어도 우리나라 노동시장에서는 성립하지 않음을 의미한다. 또한 우리나라에서는 총실업률이든 지역실업률이든 시간지연효과는 거의 없는 것으로 나타났다.

• 산경연구논집
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• 제8권5호
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• pp.77-85
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• 2017

Purpose - The purpose of this study is to investigate the variables that lead consumers to visit traditional markets and buy market goods. Thus, the current research examined the relationship between satisfaction and return intention as among the factors influencing loyalty. Research design, data, and methodology - This study was conducted to examine the effects of the perceived level of factors on loyalty and how it influenced consumers' visits to traditional markets in 125 adult adolescents and women living in Mok-po area. The results of the questionnaire were obtained. The statistical data of the questionnaire were verified by SPSS. Results - In this study, consumers' perception level of eight loyalty factors can be perceived by the traditional Korean market. The empirical analysis is summarized as follows. First, by selecting five representative variables influencing intention to return to traditional markets, Mok-po area consumers were affected by the intention to revisit according to the intensity of recognition level among these variables. Second, the higher the perceived level of product price, quality of access (accessibility) among the factors that consumers perceive as important factors in visiting traditional markets were heightened. Third, Mokpo residents are aware of the main important factors of visiting the market such as receiving a friendly atmosphere (image) about traditional market, market environment (hygiene and cleanliness), connection with the local economy, and customer service such as kindness, refund and return. These loyalty factors did not affect consumers' intention to revisit. In other words, image, environment, regional economic linkage, and these factors did not have a positive effect on revisit intention. Conclusions - The empirical analysis of this study suggests that factors that directly affect loyalty among the key factors that play a major role in visiting traditional markets should be identified and developed as loyalty factors. It is necessary to identify the key factors influencing the satisfaction and loyalty of traditional market users, and operate a system that systematically and comprehensively manages and evaluates them. In order to do this, the government, the local governments, and related organizations should regularly conduct loyalty and satisfaction surveys on visa recognition levels and establish strategies for dramatic improvement measures.

• 농촌계획
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• 제19권1호
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• pp.109-122
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• 2013

The rapid rural urban migration and aging has generated an over-depopulation problems in rural areas since the 1980s. The purpose of this study constructs the marginal size of rural over-depopulated village through the analysis of the residential disparities such as farmer's ratio, basic life service accessibility, and levels of social and economic factors for each village community. This marginal scale could support evaluating diverse rural policies, which have been planned to apply to the rural development programs at the village level. The major challenges for over-depopulated villages are the lack of basic facilities, production infrastructures and inactive communities in the village. Therefore, the quantitative analysis of rural residential disparities according to rural village scale can provide the criteria for rural over-depopulated villages. We utilized Korea Agricultural Survey Data(2010) including specific residential condition of village level. The present study adopt multinomial-logit model for quantitative analysis of different village scales and decomposition techniques to separate the direct effect by the village scale factor from the endowment effects by regional or area characteristics, and residual effect by unknown factors. The present study found that the minimum scale of a rural over-depopulated village was 40 and 60 houses for the respective conditions of farmer's ratios less than 50% and greater than 75%. It was concluded based on the study findings that threshold scale could support evaluating the diverse rural policies, which have been planned to apply to the rural development programs at the village level.

• 한국의사학회지
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• 제22권2호
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• pp.15-22
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• 2009

In this thesis, the emphasis is laid especially on the culture & structure of Huizhou Province, China as the prime mover of the specifically-regional Huizhou $X{\bar{i}}n^{\prime}{\bar{a}}n$ medicine. Huizhou was the home town & stronghold of Neo-coufucian masters Cheng-Zhu (Cheng brothers and Zhu-hsi)". The tradition of the region as "The arts province" resulted in the flourishing trend of nurturing prominent Confucian-doctors. The remarkable all round activities of Huizhou Merchants (新安商人 $X{\bar{i}}n^{\prime}{\bar{a}}nsh{\bar{a}}ngr{\acute{e}}n$), as the reigning power merchant at the period were the second mover of the Zeitgeist. Their nation-wide network all over China made it possible to gain valuable inlormation and access to news including the field of medicine in time. Some merchants actually have "abandoned their own jobs to become doctors of medicine". This Confucian-Merchant culture was one of intrinsic characteristics of Huizhou region, inducing "Pragmatic Scholarship". With the enlargement of the population of Confucian-tumed doctors and improvement of the societal status of doctors, the resultant occupational triad of local Confucian govemment officials, local $X{\bar{i}}n^{\prime}{\bar{a}}nsh{\bar{a}}ngr{\acute{e}}n$ merchants, and local doctors was established after the Middle-Ming Dynasty. Ultimately, the two prime movers of the concomitant development of medicine in the Province Huizhou in this study are concluded to be the synergy effects of the Neo-Confucian tradition and economic power of the prevalent Huizhou Merchants ($X{\bar{i}}n^{\prime}{\bar{a}}nsh{\bar{a}}ngr{\acute{e}}n$).

• 한국농림기상학회지
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• 제6권3호
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• pp.149-163
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• 2004

Evapotranspiration (ET) is a critical component of the hydrologic cycle which influences economic activities as well as the natural ecosystem. While there have been numerous studies on ET estimation for homogeneous areas using point measurements of meteorological variables, monitoring of spatial ET has not been possible at landscape - or watershed - scales. We propose a site-specific application of the land surface model, which is enabled by spatially interpolated input data at the desired resolution. Gyunggi Province of South Korea was divided into a regular grid of 10 million cells with 30m spacing and hourly temperature, humidity, wind, precipitation and solar irradiance were estimated for each grid cell by spatial interpolation of synoptic weather data. Topoclimatology models were used to accommodate effects of topography in a spatial interpolation procedure, including cold air drainage on nocturnal temperature and solar irradiance on daytime temperature. Satellite remote sensing data were used to classify the vegetation type of each grid cell, and corresponding spatial attributes including soil texture, canopy structure, and phenological features were identified. All data were fed into a standalone version of SiB2(Simple Biosphere Model 2) to simulate latent heat flux at each grid cell. A computer program was written for data management in the cell - based SiB2 operation such as extracting input data for SiB2 from grid matrices and recombining the output data back to the grid format. ET estimates at selected grid cells were validated against the actual measurement of latent heat fluxes by eddy covariance measurement. We applied this system to obtain the spatial ET of the study area on a continuous basis for the 2001-2003 period. The results showed a strong feasibility of using spatial - data driven land surface models for operational monitoring of regional ET.

• 환경정책연구
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• 제8권3호
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• pp.115-138
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• 2009

본 연구의 목적은 중국의 28개 성과 자치주를 대상으로 성장회계분석에 기초하여 전통적 생산성 성장과 환경조정 생산성 성장을 비교함으로써 각 지역의 생산성에 미치는 환경요소의 효과와 경제성장의 주된 요소를 실증적으로 계측하고자 함이다. 추가적으로 환경조정 생산성 변화를 측정하기 위해서 중극 지역별 SOx의 존재가격을 측정할 것이다. 1997년~2005년 동안 중국은 장기적으로 10.06%인 고도의 경제성장률을 보였다. 지역별로 동부의 성장이 가장 빠르고 중부의 성장률이 가장 낮다. 전통적 총요소생산성은 평균적으로 3.56%로 나타났고 지역별로 동부가 가장 높았다. 환경조정된 생산성 증가율은 평균적으로 3.57%로서 전통적 생산성 증가율과 큰 차이는 나지 않았다. 이는 세 지역에서 오염저감활동이 적극적으로 이루어지지 못하고 있음을 보여준다. 따라서 정책적으로 중국 정부에서는 환경 규제를 부단히 강화시키거나 제정된 환경규제를 엄격히 집행할 필요가 있다.