• 제목/요약/키워드: local variables

검색결과 1,200건 처리시간 0.028초

재정변수 및 비재정변수가 지역경제에 미치는 영향: 16개 시도를 중심으로 (Effect of Fiscal and Non-fiscal Variables on Regional Economy: The Case of 16 Wide-area Autonomous Communities in Korea)

  • 박완규;김두수
    • 한국경제지리학회지
    • /
    • 제17권3호
    • /
    • pp.554-566
    • /
    • 2014
  • 본 연구에서는 1998년부터 2012년까지 15년간의 16개 시 도 패널자료를 이용하여 자치단체의 세입 세출 등 재정변수들 및 인구, 고령인구비율, 실업률, 부양비 등 비재정변수들과 1인당 GRDP로 정의한 지역경제력 간의 관계를 분석하였다. 구체적으로 그랜저 인과관계 분석을 시행하였고, 지역경제력으로 일 방향 또는 양 방향 인과관계가 존재하는 변수들을 설명변수로 한 회귀분석을 시행한 후 통계적으로 유의한 영향을 미치는 변수들에 대해 누적적 영향 유무를 검정하였다. 그 결과 1인당 지방세액, 1인당 사회개발비, 중위연령 등은 양(+)의 영향을 미치는 것으로 나타났으나 부양비는 음(-)의 영향을 미치는 것으로 나타났다. 또한 1인당 보조금, 1인당 지방세액, 1인당 사회개발비, 중위연령 등은 지역경제력에 누적적 영향을 미치고 있다.

  • PDF

하이퍼텍스트상의 Local Map 구조에 대한 사용편의성 평가 (Usability evaluation of the local map structures on a hypertext)

  • 한성호;최필성
    • 대한산업공학회지
    • /
    • 제21권3호
    • /
    • pp.397-407
    • /
    • 1995
  • Use of a hypertext is growing as multimedia and hypermedia systems become popular. The major difference between hypertext-based and ordinary user interfaces is navigation. Typically, there are two major navigation problems in a hypertext compared to the ordinary user interface: "Disorientation" and "Cognitive Overload". To reduce or eliminate these problems of the hypertext system, a variety of aiding tools have been proposed. Among them, a local map is a good tool for helping users navigate through screens, especially for a large and complex system. This study examined three major design variables of a local map in a hypertext: breadth, depth, and functionality of a map. A human factors experiment was conducted to investigate the effects of these variables. Based upon the results of the experiment, design guidelines are suggested.

  • PDF

주성분 분석을 이용한 농업생산기반의 재해 취약성 평가에 관한 연구 (A Study on the Vulnerability Assessment for Agricultural Infrastructure using Principal Component Analysis)

  • 김성재;김성민;김상민
    • 한국농공학회논문집
    • /
    • 제55권1호
    • /
    • pp.31-38
    • /
    • 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.

Regularity of Maximum Likelihood Estimation for ARCH Regression Model with Lagged Dependent Variables

  • Hwang, Sun Y.
    • Journal of the Korean Statistical Society
    • /
    • 제29권1호
    • /
    • pp.9-16
    • /
    • 2000
  • This article addresses the problem of maximum likelihood estimation in ARCH regression with lagged dependent variables. Some topics in asymptotics of the model such as uniform expansion of likelihood function and construction of a class of MLE are discussed, and the regularity property of MLE is obtained. The error process here is possibly non-Gaussian.

  • PDF

이산설계공간에서 직교배열표를 이용한 순차적 알고리듬의 국부해 (Local Solution of a Sequential Algorithm Using Orthogonal Arrays in a Discrete Design Space)

  • 이정욱;박경진
    • 대한기계학회논문집A
    • /
    • 제28권9호
    • /
    • pp.1399-1407
    • /
    • 2004
  • Structural optimization has been carried out in continuous design space or in discrete design space. Generally, available designs are discrete in design practice. However, the methods for discrete variables are extremely expensive in computational cost. An iterative optimization algorithm is proposed for design in a discrete space, which is called a sequential algorithm using orthogonal arrays (SOA). We demonstrate verifying the fact that a local optimum solution can be obtained from the process with this algorithm. The local optimum solution is defined in a discrete design space. Then the search space, which is a set of candidate values of each design variables formed by the neighborhood of a current design point, is defined. It is verified that a local optimum solution can be found by sequentially moving the search space. The SOA algorithm has been applied to problems such as truss type structures. Then it is confirmed that a local solution can be obtained by using the SOA algorithm

이산설계공간에서 직교배열표를 이용한 순차적 알고리듬의 국부해 (Local Solution of Sequential Algorithm Using Orthogonal Arrays in Discrete Design Space)

  • 이정욱;박경진
    • 대한기계학회:학술대회논문집
    • /
    • 대한기계학회 2004년도 춘계학술대회
    • /
    • pp.1005-1010
    • /
    • 2004
  • The structural optimization has been carried out in the continuous design space or in the discrete design space. Generally, available designs are discrete in design practice. But methods for discrete variables are extremely expensive in computational cost. In order to overcome this weakness, an iterative optimization algorithm was proposed for design in the discrete space, which is called as a sequential algorithm using orthogonal arrays (SOA). We focus to verify the fact that the local solution can be obtained throughout the optimization with this algorithm. The local solution is defined in discrete design space. Then the search space, which is the set of candidate values of each design variables formed by the neighborhood of current design point, is defined. It is verified that a local solution can be founded by moving sequentially the search space. The SOA algorithm has been applied to problems such as truss type structures. Then it is confirmed that a local solution can be obtained using the SOA algorithm

  • PDF

The Effect of Good Governance on Financial Performance: An Empirical Study on the Siri Culture

  • SALEH, Haeruddin;ROSADI, Imran;MANDA, Darmawati;MAULANA, Zulkifli;IDRIS, Syahril
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제8권5호
    • /
    • pp.795-806
    • /
    • 2021
  • This study analyzes and assesses the effect of good governance consisting of accountability, transparency, and participation on the financial performance of Pare-Pare City local government moderated by the basic values of Siri culture in the form of Lempu (honesty), Amaccangeng (intelligence), and Awaraningeng (courage). The population of this research is 200 local government employees (respondents). The results of data analysis showed that accountability and participation variables had no significant effect on the financial performance of the Pare-Pare City local government. However, the transparency variable has an influence on local government financial performance. It is hoped that all these 3 variables (accountability, transparency, and participation) will have a significant effect on local government financial performance. To achieve this, it is necessary to apply cultural values that exist in society so that cultural values can provide greater guidance in the management of regional finances. The results provide a better understanding of the importance of Siri's cultural value in the implementation of public services to the community. With Siri's cultural values in the form of Lempu, Amaccangeng, and Awaraningeng embedded in their behavior, government employees can improve performance and avoid deviant behavior or corruption. The novelty of this research is a form of analysis by using local cultural values (the basic values of Siri culture) as the moderating variable.

Modeling Fashion Brand Authenticity Toward Brand Usage Intention: Evidence from Indonesia

  • GINTING, Magdalena L.;SIHOMBING, Sabrina O.;ANTONIO, Ferdi;PRAMONO, Rudy
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제9권6호
    • /
    • pp.381-387
    • /
    • 2022
  • The growth of local fashion brands in Indonesia is interesting because of the speed with which new designs are made, many variants are created, and local brands are developed. However, when it comes to buying local fashion products, the brand isn't the sole consideration. As a result, the marketing effectiveness of local fashion brands needs to be examined more thoroughly. The purpose of this study was to understand more about brand authenticity and how it affects brand usage intentions. The unit of analysis in this study was Generation Z, who purchase from local fashion companies online. A quantitative research methodology was used. The data was analyzed using the PLS-SEM method to test the hypotheses with the dependent variables. The variables were the intention of using the brand, the quality of the brand relationship, and the authenticity of the brand. The results of this study indicated that brand authenticity had an effect on brand usage intent and brand relations quality mediates the positive effect of brand authenticity on brand usage intent.

지방의회의 재정지출 결정요인과 예산권한에 관한 연구: 광역지방의회를 중심으로 (A Study on the Budget Policy Determinant Factors and the Budget Power of the Local Council: Focus on Metropolitan Council)

  • 신혜리;박정수
    • 의정연구
    • /
    • 제27권2호
    • /
    • pp.111-143
    • /
    • 2021
  • 지방자치법 전부개정안이 통과되면서 지방행정 환경의 변화가 예고되고 있다. 특히 지방의회의 역량을 강화하고 책임성 확보를 위한 전문성 강화에 주목하여 현 지방의회의 예산심의과정에 있어서 권한 분석이 필요하다. 의회의 예산권한은 지갑의 힘(power of the purse), 예산통제권한 등 다양한 용어로 표현되며 의회의 예산심의과정에서의 통제와 견제 역할에 주목하고 있다. 본 연구는 재정지출 결정요인인 정치행정적, 사회경제적 변수가 지방의회의 예산권한에 영향을 미치는 요인을 분석하고자 했다. 의회의 예산권한을 예산수정률과 본회의 예산안 처리일수로 설정하고 다양한 변수들이 예산권한에 미치는 영향을 확인하였다. 그 결과 지방의회는 예산수정에 소극적이며, 견제와 통제 역할이 미흡함을 확인했다.

SHAP 기반 NSL-KDD 네트워크 공격 분류의 주요 변수 분석 (Analyzing Key Variables in Network Attack Classification on NSL-KDD Dataset using SHAP)

  • 이상덕;김대규;김창수
    • 한국재난정보학회 논문집
    • /
    • 제19권4호
    • /
    • pp.924-935
    • /
    • 2023
  • Purpose: The central aim of this study is to leverage machine learning techniques for the classification of Intrusion Detection System (IDS) data, with a specific focus on identifying the variables responsible for enhancing overall performance. Method: First, we classified 'R2L(Remote to Local)' and 'U2R (User to Root)' attacks in the NSL-KDD dataset, which are difficult to detect due to class imbalance, using seven machine learning models, including Logistic Regression (LR) and K-Nearest Neighbor (KNN). Next, we use the SHapley Additive exPlanation (SHAP) for two classification models that showed high performance, Random Forest (RF) and Light Gradient-Boosting Machine (LGBM), to check the importance of variables that affect classification for each model. Result: In the case of RF, the 'service' variable and in the case of LGBM, the 'dst_host_srv_count' variable were confirmed to be the most important variables. These pivotal variables serve as key factors capable of enhancing performance in the context of classification for each respective model. Conclusion: In conclusion, this paper successfully identifies the optimal models, RF and LGBM, for classifying 'R2L' and 'U2R' attacks, while elucidating the crucial variables associated with each selected model.