This research is to find out how the resort industry influences on local community. The residents in Gwangju, Chuncheon, Wonju in Gangwon were the targets for accomplishing this goal from August 10th to September 20th in 2007. We first examined the differ

제주 지방 기상청을 대상으로 하는 지역 규모 단시간 수치예보 시스템을 구축하였다. 기상청 본청에서 하루 2회 제공되는 30 km해상도의 수치예보 자료로는 지방 기상청의 예보관들이 우리 나라와 같이 복잡한 지형에서 발생하는 그 지역의 국지 악기상을 파악하기에는 무리가 있다. 지역 규모의 고해상도 수치예보를 위해 LAPS와 MM5를 자료분석과 예보 모델로 이용하였다. LAPS는 양질의 수치예보 초기자료를 생산해 내기 위해 종관 관측 자료뿐만 아니라 위성 및 레이더 등의 비 종관 관측자료도 자료동화에 이용한다. MM5 모델은 16노드의 펜티엄 PC로 구성된 클러스터에서 수행되었으며 이 시스템은 분산병렬 클러스터 컴퓨터로 가격대비 성능이 매우 우수한 미니 슈퍼컴퓨터이다. 자료동화 모델, 수치예보 모델 그리고 PC-클러스터를 종합한 지역 규모 단시간 수치예보 시스템을 한라 단시간 예측 시스템이라 명명하였으며 이 시스템은 현재 제주 지방 기상청에서 독자적으로 운영되고 있다. 기상청 본청에서 제공되는 수치예보 정보로는 탐지할 수 없었던 1999년 7월 9일 제주 지역의 집중호우 사례에 대하여 본 시스템을 검증한 결과 모델이 예측한 강수량이 실제 강수량을 잘 재현하였다. 한라 단시간 예측 시스템은 2000년 4월부터 하루 4회 제주 지방기상청에서 독자적으로 운영되고 있다.

Indonesia’s most eastern provinces enjoy special autonomy status but still suffer from the highest poverty level in the entire nation. Using the Williamson index to test the Simon Kuznets theory, this study examines development equality at pre-and post-special autonomy in the provinces of Papua and West Papua. It uses gross domestic products per capita and population from 29 regencies/cities in Papua and 13 regencies/cities in West Papua to measure the Williamson index in addition to in-depth interviews with legislative members and document analysis to validate the findings. The study found that the regional development gap before special autonomy is relatively smaller than that existing after special autonomy. The Kuznets’ curve is not proven in the special autonomy era, meaning that the imposition of autonomy status has led to the creation of a higher development gap in these provinces. Although the special autonomy status has prompted an increased opportunity for political participation by the indigenous people, greater challenges are posed by the lack of human resources, poor government administration, difficult geographical access and the issue of land acquisition. Continuous development initiatives followed up with adequate supervision, greater transparency and law enforcement from government bureaucrats and legislatures are recommended to reduce the inequality.

Since climate change increases the risk of extreme rainfall events, concerns on flood management have also increased. In order to rapidly recover from flood damages and prevent secondary damages, fast collection and treatment of flood debris are necessary. Therefore, a quick and precise estimation of flood debris generation is a crucial procedure in disaster management. Despite the importance of debris estimation, methodologies have not been well established. Given the intrinsic heterogeneity of flood debris from local conditions, a regional-scale model can increase the accuracy of the estimation. The objectives of this study are 1) to identify significant damage variables to predict the flood debris generation, 2) to ascertain the difference in the coefficients, and 3) to evaluate the accuracy of the debris estimation model. The scope of this work is flood events in Ulsan city region during 2008-2016. According to the correlation test and multicollinearity test, the number of damaged buildings, area of damaged cropland, and length of damaged roads were derived as significant parameters. Key parameters seems to be strongly dependent on regional conditions and not only selected parameters but also coefficients in this study were different from those in previous studies. The debris estimation in this study has better accuracy than previous models in nationwide scale. It can be said that the development of a regional-scale flood debris estimation model will enhance the accuracy of the prediction.

The purpose of this paper is to examine the relationship between regional financial development and corporate investment efficiency as well as the relationship between firm-level characteristics and corporate investment efficiency. Using a large sample of A-listed companies in China from CSMAR database between 2003 and 2016, this paper explores corporate investment efficiency and its influencing factors in emerging market on the basis of heterogeneous stochastic frontier model. The results show that: (1) the average investment efficiency of Chinese listed companies is 74.5%, and the investment efficiency of large enterprises, state-owned enterprises and enterprises with relatively high financial development level is significantly higher; (2) compared with average corporate investment efficiency in the year 2003, the investment efficiency of different types of enterprises in 2016 is significantly higher, and the gap is gradually widening; (3) enterprise heterogeneity namely firm size, nature of property right, and institutional environment reflected by the level of regional financial development indirectly affects corporate investment efficiency by influencing the financing constraints and uncertainty. The findings suggest that to improve corporate investment efficiency in emerging market, financial market should be accelerated, regional balance should be restored and the differences among regions, industries and differences between public and private sectors should be eliminated.

This study aims to offer base line data for efficient conflicts control measures by first, analyzing the current situation of the regional comprehensive development project and second, identifying level, type and cause of the conflicts appeared during the development business promotion. For this purpose, theoretical side of this study establishes a basic frame by reviewing the existing researches in order to analyze the characteristics of the conflicts between the participation subjects in the development business, and the empirical side conducts survey and analysis on the awareness on these conflicts. As a result of the analysis, the survey revealed the followings. First, the respondents were aware of the overall promotions of the business quite positively, second, the conflicts were considered as a major obstacle against the development project promotion just as the other negative factors, third, majority of the responses on the seriousness of the conflicts were neutral which meant that the conflicts could be deepened by situations, fourth, most respondents had positive recognition on the needs of conflict control training and its effectiveness, and last but not least, most respondents of the survey revealed their intentions to take parts in trouble shooting from the conflicts. Based on the results above, we were able to extract several elements to consider preparing the countermeasures for the conflicts. First, specific plan should be arranged and institutionalized in order to control the conflicts between the residents at the initial stage of the development business or even before. Second, the specific plan must lower its threshold for easy participation of the residents in that region and make the residents main body of the conflict control. Third, enhanced conflict control education must be provided to the residents of the region where comprehensive development plan is in progress or being prepared.

China’s aviation cargo transportation has developed rapidly in recent years, airport logistics is the outcome of modern logistics and high-efficiency of traditional aviation cargo transportation. Because of the speed, convenience and safety of airport logistics, people increasingly tend to use airports to carry out activities in all aspects of logistics, the demand for airport logistics has exploded, and airport logistics has become an important factor to be considered in airport planning and later development now. The development of airport logistics has created the airport economy, the rise of the airport economy has become a new growth pole of the regional economy. At present, the construction of high-speed rails has caused bottlenecks in the development of aviation cargo transportation, and the advantages of airport logistics have been greatly weakened, therefore, airport logistics must find a solution out. Therefore, on the basis of summarizing the relevant literature, this article closely links airport logistics with related local industries, and seeks a new way for the coordinated development of airport logistics and regional economy. This article takes the Pudong New Area and Pudong Airport as examples to explore the driving factors for mutual boosting development between airport logistics and regional economy. Based on this, select Granger causality test to prove the causality between Pudong airport logistics and Pudong economy, and use the gray relational theory to calculate the gray relational degree of Pudong airport logistics and Pudong economy. According to the results of empirical analysis, summarized propose corresponding recommendations and provide effective suggestions for the Pudong government and related enterprises to promote coordinated development of airport logistics and regional economy.

This study aims is to explore of the theoretical concepts of regional imbalances and spatial inequality, analysis of spatial distribution of economic growth and identifying of “growth poles” for sustainable development in the regions of Kazakhstan. Based on the theoretical views, we conclude that the key direction of regional policy is the search and development of “growth poles”, which will distribute their potential equally to backward regions. The authors propose the methodological tools for presenting a standard form of evaluation of spatial distribution and inequality of the regions of Kazakhstan. This study confirms the importance of using of proposed methods and its application for objectively and realistically defines “growth poles” for sustainable development. Further, the obtained results showed the distribution of Kazakhstan's regions by economic growth and specialization with using modified index of KDI. According to the results of this theoretical and empirical study proved that distribution of the regions of Kazakhstan and results of KDI indexes shows that the spatial differentiation of economic development, but its level and dynamics are different in different respects. In addition, according to the conducted survey, we conclude that one of the most important tasks is sustainable growth based on “growth poles” for sustainable development.

In recent years, the population structure has been changed by the progresses of 6th-industrialization and transportation in farming areas. This study aims to suggest a regional development plan of farming areas in accordance with the demographic changes. Population structure indicators were derived from previous studies and literature review in order to identify the types of farming areas. Demographic indicators separated to depopulation and population growth in farming areas through a standardized scoring method. This research found that the division of economy is not only the most important division in any other regional development divisions but also necessary to develop new sources of non-farm income through traditional culture, natural environment. In the social division, it is necessary to secure the facilities for the formation of a sense of community to multicultural families and existing residents in farming areas. In the environmental division, it is desirable to improve the quality and satisfaction of life for residents such as the sidewalk and park that utilize ecological environment, culture, history for both depopulation and population region. In the physical division, there is a need for improvement of the facilities of basic living infrastructure service such as roads, water supply and sewerage systems. In the institution division, sustainable financial support of the central government policy for farming areas is crucial for the improvement of residential environment in the farming areas of depopulation and population region.

지방자치제도는 지역 간 경쟁구도를 견인하였고, 각 지역은 강력한 지역아이덴티티 구축 및 강화를 위한 차별화 전략을 필 요로 하게 되었다. 지역의 차별화란 지역고유의 역사, 자연, 산업, 생활, 문화, 가치 등의 요소를 통해 형성되는 특성화 이미 지 구축전략으로 이해할 수 있다. 이러한 맥락으로 지역의 특성화 이미지를 활용한 문화관광상품은 지역을 이해하는 연상 이미지 형성의 역할을 담당할 뿐 아니라, 관광활동 중 체득된 체험요소들을 기억하게 도와주는 회상자원이 될 수 있다는 점에 주목하였다. 이에 따라 지역 고유성을 대표하는 관광자원의 특성화 이미지 발굴 및 이를 활용한 문화관광상품 개발을 위한 연구를 진행하여, 독창적이고 지속가능한 지역아이덴티티 강화 전략의 하나로 제시하고자 한다. 연구의 공간적 범위로는 지역문화의 정체성을 핵심평가지표로 제시하고 있는 국제슬로시티의 기준을 통과하고 재지정에 성공한 전주한옥마을을 선정하였다. 선행연구 및 현장조사를 통하여 관광목적지에서 유통되는 대부분의 상품들이 그 독창 성과 차별성을 나타내지 못하는 현실을 반영하였으며, 특히 전주한옥마을의 지역아이덴티티 강화는 물론 오랜 시간 축척되 어온 도시브랜드 전략의 일관성을 담아내고자 노력하였다. 전주한옥마을의 문화적 정체성과 연결되는 대표자원을 선정하 고, 특성화 이미지 요소 발굴을 통한 디자인 전략을 도출하였으며, 이를 활용하여 실제 판매유통이 가능하도록 다양한 문화 관광상품 예시를 제안하였다는 점에서 연구의 의의와 차별성을 확인할 수 있다.

본 연구에서는 도시하천 유역의 신뢰성 높은 수문해석을 위해 지역적 성향을 고려한 도달시간 및 저류상수 공식을 개발하였다. 이를 위해 국내 대표 도시하천 유역인 중랑천, 탄천, 안양천, 홍제천 내 13개 유역을 대상으로 지역적 성향이 없는 유역특성인자와 지역적 성향이 있는 도시 및 강우특성인자를 분석하였으며, 단계적 다중회귀분석을 통하여 공식을 개발하였다. 개발된 공식은 국내외 경험식들과 함께 도시하천 유역에 대해 정확도를 비교 평가하였다. 분석결과 본 연구에서 개발한 공식의 계산값이 다른 경험식들에 비해 더욱 정확하게 모의하였으며 오차합, 평균오차, 평균제곱근오차 또한 가장 낮은 것으로 나타났다. 본 연구는 도시하천 유역이라는 지역적 성향을 고려하여 공식을 개발함으로써 기존 국내외 경험식들보다 더 나은 결과를 제시하였다는 측면에서 가치가 있다고 판단된다.

본 연구에서는 Bayesian 통계기법을 활용한 지역빈도해석 모형을 기반으로 외부 기상인자 및 공간정보에 의한 확률강우량의 변동성을 고려할 수 있는 Bayesian 지역빈도해석 기법을 개발하였다. 기존 지역빈도해석에서 분석시 확률분포형의 매개변수는 과거와 일정하다는 정상성을 기본 가정으로 연구를 진행해 왔다. 이는 평균의 변동성 및 확률강우량 추정시 최근 기후변화의 영향을 효과적으로 고려하지 못하는 단점이 존재하였다. 또한 우리나라의 경우 산악지형이 약 70% 이상을 차지할 정도로 지형적 및 계절적으로 강수량 패턴이 불분명하여 확률강우량 추정시 공간적 변동성을 고려할 수 있는 새로운 개념의 지역빈도해석의 필요성이 대두되고 있다. 최근 국내 연구에서는 유역내 면적강우량 환산시 극치계열의 강수자료를 이용하여 지점빈도해석(point frequency analysis, PFA) 또는 지역빈도해석(regional frequency analysis, RFA)을 수행하여 수자원 설계에 이용되고 있다. 그러나 기존 지역빈도해석연구에서 매개변수 산정시 외부인자(covariate)를 고려할 수 없는 단점이 존재하며, 불확실성을 정량적으로 해석하는데 어려움이 있다. 이와 더불어 기존 RFA에서는 관측지점을 중심으로 산정된 확률강우량은 Thiessen망을 통해 유역면적강우량으로 변환하여 사용하는 것이 일반적이나 우리나라의 산지특성과 여름철 강우처럼 시공간적 변동성이 큰 경우 면적평균강우를 추정하는데 있어서 오차가 크게 발생할 수 있다고 알려지고 있다. 이러한 이유로 본 연구에서는 Bayesian 통계기법을 활용하여 매개변수 추정시 기상인자 및 공간정보가 고려된 지역빈도해석을 수행할 수 있는 모형을 개발하였으며 다음과 같이 연구를 진행하였다. 첫째, 한강유역내 18개 관측소를 대상으로 연도별 여름강수량을 추출하고 이들 관측소의 여름강수에 물리적인 영향을 미치는 기상인자로서 SST(sea surface temperature)를 외부인자로 채택하였다. 둘째, 극치분포를 잘 재현한다고 알려져 있는 Gumbel 분포를 확률분포형으로 선정하였으며, Gumbel 분포 매개변수 산정시 앞서 추출한 SST와 한강 유역내 공간정보를 활용하여 매개변수를 산정하였다. 마지막으로 Bayesian 기법을 도입하여 산정된 매개변수의 불확실성 구간을 제시하였으며, 추정된 확률강우량 또한 불확실성 구간을 제시하여 신뢰성 있는 연구를 수행하였다.

The purpose of this study was to develop survey tools for diagnosis of capacity levels in business promotion of rural residents when performing a rural development project of a regional unit. The cases of previous studies were analyzed to select community capacity indicators related to a rural development project. Five indicators were derived : social capital, consciousness of participation, community spirit, and leadership. Based on the five indicators, measurement items of various capacities were selected and 54 survey items were selected through evaluation of experts twice. The pilot tests were conducted and targeted at Jeonnam song ho-jung village and Gyeongnam Haegeumgang village to identify derived survey items. In addition, descriptive statistic analysis and reliability analysis were conducted. As a result, survey items were corrected by reducing 10 items of the total 54 items. This results showed that using this tool could help us understand capacity levels of rural residents.

The regional rainfall intensity formula for Gimhae in Gyeongsangnam-do province is developed in this study. The nine points of rainfall observations were selected. In order to demonstrate the accuracy and the versatility of the proposed rainfall intensity formula, three regions under the jurisdiction of the Meteorological Agency near Gimhae, namely Busan, Changwon, Miryang observatories were selected. The present formula can be effectively employed for various design of hydraulic structures in Gimhae area since it is divided into several refined regions.

본 연구에서는 지역특성(위도, 경도, 고도)과 기후학적 특성(연최대강우량)을 계층적 Bayesian 모형안에서 연계하여 공간적 분석이 가능한 지역빈도해석 모형을 개발하였다. 기존 지역빈도해석은 강수지점의 지리적/지형적 특성을 반영한 해석이 어려운 단점이 있으며, 지점을 기준으로 해석된 확률강수량을 유역면적강우량으로 변환 시 불확실성이 큰 단점이 있다. 이에 본 연구에서는 계층적 Bayesian 기법을 이용하여 지역특성 및 기후학적 특성이 고려된 Gumbel 확률분포형의 매개변수를 추정하였으며, 이들 매개변수들을 공간적으로 보간하여 한강유역내 모든 지점에 대해서 확률강수량을 추정할 수 있도록 하였다. 결과적으로 기존 L-모멘트 방법과 유사한 결과를 확인할 수 있었으며 확률강수량의 불확실성 정량화와 더불어 지리적/지형적 영향을 고려한 해석이 가능하였다.

본 연구에서는 특성화를 전제로 식물원마다 지역경관자원이 잘 반영되기 위한 방향제공과 식물원 조성 시 비교적 적은 예산과 인력으로 최대한의 효과를 기대하기 위해서 지역경관자원을 활용한 식물원 계획지표를 개발하고 중요도를 분석하고자 하였다. 그 결과 상위계층(1계층)에서는 ‘자연자원(0.624)’이 가장 높게 나타났으며, ‘역사문화자원(0.203)’, ‘사회자원(0.172)’의 순으로 나타났다. 중간계층(2계층)에서는 ‘문화자원(0.592)’, ‘생태자원(0.454)’, ‘역사자원(0.408)’, ‘공동체자원(0.408)’, ‘산림자원(0.400)’의 순으로 비슷하게 나타났다. 하위계층(3계층)에 있어서는 ‘식생(0.688)’, ‘마을전통(0.641)’, ‘축제(0.581)’, ‘숲(0.557)’의 순으로 나타났다. 전체적으로 볼 때 중요도가 높은 것은 ‘식생(0.195)’, ‘숲(0.139)’이 높게 나타났으며, ‘초지(0.058)’, ‘습지(0.056)’가 다음 순이었다. ‘마을전통(0.053)’, ‘산(0.052)’, ‘지형지세(0.050)’도 계획 시에 중요한 지표가 될 수 있다. 그 외 ‘마을 상징물(0.050)’, ‘전설(0.044)’, ‘축제(0.041)’ 등의 항목도 중요한 지표로 판단되었다. 따라서 지역 경관자원을 활용한 식물원 조성방향을 설정하기 위해서는 ‘자연자원’의 ‘생태자원’, ‘산림자원’과 ‘역사자원’의 ‘마을전통’과 ‘문화자원’의 ‘전설’, ‘마을 상징물’과 ‘사회자원’으로서의 ‘축제’ 등이 중요한 계획지표라 할 수 있다. 따라서 지역경관자원을 활용한 식물원의 계획 시 기존의 자연자원 뿐만 아니라 지역의 정체성을 담을 수 있는 역사문화자원과 함께 사회자원을 수용할 수 있는 노력이 수반되어 할 것으로 사료된다.

The selection of land for fishing village development project, and the standard used to classify fishing villages has been determined based on the guidelines developed by fishing village cooperatives. The approach fishing village cooperatives follows is likely to classify fishing villages without first reflecting on the overall development environment of the region, such as other industries and workers in the area. It also acts as a barrier for business promotion or evaluation, because the cooperatives do not match the administrative districts, which are the units of administration, and the main policy enforcement agent in regional development. Against this background, this study aimed to identify categories to situate the development direction, as well as the size and distribution of fishing villages based on eup, myeon, and dong administrative units as defined by the Fishing Villages and Fishery Harbors Act. This study was based on the Census of Agriculture, Forestry, and Fisheries of 2010, and analyzed 826 eups, myeon, and dongs with fishery households using the principal component analysis, and 2-Step cluster analysis methods. Therefore, 95% of the variance was explained using the covariance matrix for types of fishing villages, but it was analyzed as one component focusing on the number and ratio of fishery households, and used the cluster-type analysis, which focused on the sizes of fishing villages. The clusters were categorized into three types: (1) the development type based on the number of fishermen in the eups, myeons and dongs was analyzed as village size (682); (2) administrative district size (121); and (3) total eups, myeons and dongs (23), which revealed that the size of most fishing villages was small. We could explain 73% of the variance using the correlation coefficient matrix, which was divided into three types according to the three principal component scores, namely fishery household power, fishery industry power, and fishing village tourism power. Most fishing villages did not have a clear development direction because all business areas within the region were diversified, and 552 regions could be categorized under the harmonious development type, which is in need of balanced development. The fishery industry type typified by industrial strength included 159 regions in need of an approach based on industrialization of fishery product processing. Specialized production areas, which specialized in producing fishery products, were 115 regions with a high percentage of fishermen. The analysis results indicated that various situations in terms of size and development of fishing villages existed. However, because several regions exist in the form of small village units, it was necessary to approach the project in a manner that directed the diversification of regional development projects, such as places for local residents to relax or enjoy tourism experiences within the region, while considering the overall conditions of the relevant eups, myeons, and dongs. Reinforcement of individual support for fishermen based on the Fisheries Act must take precedence over providing support for fishermen through regional development. In addition, it is necessary to approach the development of fishing villages by focusing on industrializing the processing techniques of fishery products. Areas specialized in the production of fishery products are required to consider the facilities for fisheries production, and must make efforts to increase fishery resources, such as releasing fry.

본 연구에서는 계층적 Bayesian 기법을 이용한 새로운 지역빈도해석 모형을 개발하는데 목적이 있으며 이를 통해서 신뢰성 있는 매개변수를 추정과 동시에 지역빈도해석 절차의 불확실성 평가를 용이하게 접근할 수 있도록 하였다. 본 연구에서 제안되는 계층적 Bayesian 기반 지역빈도해석 모형(HBRFA)의 적합성을 평가하기 위해서 모의실험을 수행하였다. 즉, 10개의 모의 관측소를 대상으로 Monte-Carlo 모의를 통한 평가를 수행하였으며 전체적으로 HBRFA 모형이 기존 L-모멘트 방법에 비해 편의를 줄여주는 것으로 평가되었다. 특히 재현기간이 증가될수록 편의가 두드러지게 감소되는 것을 확인할 수 있었다. 전라북도의 6개 강우지점을 대상으로 HBRFA 모형과 기존 L-모멘트 기반 지역빈도해석 결과를 비교하였다. 계층적 Bayesian 모형의 특징을 평가하고자 매개변수의 Shrinkage 과정을 정량적으로 도출하여 제시하였으며 추정된 지역확률강수량이 기존 L-모멘트 기법과 유사한 결과를 갖는 것을 확인할 수 있었다. 더불어 빈도별 확률강수량의 불확실성을 정량적으로 제시할 수 장점을 확인할 수 있었다.