• 제목/요약/키워드: Econometrics Model|

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Exploring the Relationship between Place and Crime Using Spatial Econometrics Model

  • Lee, Soochang;Kim, Daechan
    • International Journal of Advanced Culture Technology
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    • 제9권2호
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    • pp.32-38
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    • 2021
  • The purpose of this study is to examine the spatial characteristics of violent and burglary crimes in South Korea. Violent crimes and burglary crimes depend on a spatial setting with good conditions for their criminal purposes. This study defines population density, racial heterogeneity, types of houses, and density of commercial facilities as variables of place affecting crime in cities and counties. The study collects data from 229 cities in Korea to analyze the effect of spatial characteristics on crime. We conduct additional analyses to meet the statistical requisites of the spatial econometrics model using the open-source software R and GeoDa 1.12.1.129. From the analytical result, population density, racial heterogeneity, apartments, and commercial areas relate to crime occurrence. We suggest the implication of the theoretical and practical contributions to the relationship between place and crime.

비명시적 평가지표를 활용한 농촌정책 평가 (A Quantitative Evaluation of Composite Indicators : Empirical Analysis of Comprehensive Rural Village Development Project)

  • 황재희;이성우
    • 농촌계획
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    • 제22권4호
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    • pp.25-36
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    • 2016
  • The purpose of this study is to construct a quantitative evaluation method that can analyze the policy effectiveness with the construction of a implicit composite index incorporating spatial econometrics models. In order to propose a methodological framework for the program evaluation, this study conducts an empirical analysis with the application of the Comprehensive Rural Village Development Project (CRVDP) which explicitly claims to achieve comprehensive goal of community development. The present study pays particular attention to quantifying the composite evaluation index and drawing net effect through the application of a series of spatial econometrics models. The spatial unit of the analysis is drawn at Eup-Myeon level in rural areas in Korea, and the time horizon is in between 2005 and 2010. We utilize the Korean Agricultural Census data in 2005 and 2010. Three steps of methodological processes are needed to satisfy the objective of the present study. First, we apply factor analysis to construct the composite index that represents comprehensive settlement environment in rural area. The index should be matched with the main objective of the CRVDP. Second, we apply the derived index to a series of spatial econometrics model as dependent variable. Lastly, utilizing the estimated coefficients of the econometrics models, we apply decomposition technique to estimate CRVDP's net effect from both cross-sectional and longitudinal perspectives. We find that the results of the decomposition analysis by the execution of the CRVDP are positively associated with the explicit object of the project.

특수목적관광 유형 간의 대체보완 및 총 관광수요와의 영향관계 -상관관계분석 및 계량경제모형의 활용- (Substitute or Complementary among Types of Special Interest Tourism and A Causal Relationship between Total Individual Tourism Demand and Each Types -Application of Correlation Analysis and Econometrics Models-)

  • 곽강희
    • 한국콘텐츠학회논문지
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    • 제11권8호
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    • pp.409-418
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    • 2011
  • 본 연구의 목적은 특수 목적관광유형들 간의 대체보완관계 및 총 개인관광수요와 각 유형의 특수목적관광 사이의 인과관계를 조사하기 위한 것이다. 서울에 거주하고 있는 500개의 표본 중에서 349개의 유효표본이 분석에 이용되었다. 통계적 분석방법으로서 상관관계분석은 대체보완관계의 파악을 위해 그리고 인과관계분석을 위해서는 계량경제모델이 적용되었다. 연구결과, 농촌관광과 해양관광은 상호 경쟁적 대체관계에 놓여 있었으며, 해양관광은 다른 어느 유형의 특수 관광보다 총 개인관광수요에 미치는 영향이 강하게 나타났다.

공간계량모형을 이용한 도시와 농촌의 비선호시설이 토지 가격에 미치는 영향 분석 (The Effects of Non-Preferred Facilities on Land Prices in Urban and Rural Areas using Spatial Econometrics)

  • 전정배;권성문
    • 농촌계획
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    • 제26권3호
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    • pp.103-113
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    • 2020
  • Land price can be affected by convenience or psychological repulsion like PIMFY (Please In My Front Yard) or NIMBY (Not In My Back Yard) for various facilities. The purpose of this study is to evaluate whether non-preferred facilities are related to NIMBY impact that negatively affect land prices using the spatial econometrics models which are spatial autoregressive models (SAR), spatial errors models (SEM), and general spatial model (SAC). The land price in urban area increases by 0.07-0.2% when the distance from aversion facilities increases by 1%. However, the land price in rural areas decreases when the distance from aversion or pollution facilities increase. Therefore, these facilities in rural areas located in the areas with higher land price because funeral homes located in center of rural administrative areas and charnel house or crematorium located in the fringe of urban areas. That is, this study explain the difference between land price and non-preferred facilities in urban and rural areas and why there are more N IMBY symptoms in urban areas.

Sufficient Conditions for Stationarity of Smooth Transition ARMA/GARCH Models

  • Lee, Oe-Sook
    • Journal of the Korean Data and Information Science Society
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    • 제18권1호
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    • pp.237-245
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    • 2007
  • Nonlinear asymmetric time series models have the growing interest in econometrics and finance. Threshold model is one of the successful asymmetric model. We consider a smooth transition ARMA model which converges a.s. to a threshold ARMA model and show that the smooth transition ARMA model admits a stationary measure, provided a suitable condition on the coefficients of the autoregressive parts of the different regimes is satisfied. Stationarity of a smooth transition GARCH model is also obtained.

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농업.농촌정책평가를 위한 정량적 분석모형 연구 (Quantitative Approaches for Agricultural and Rural Policy Evaluation)

  • 이성우;윤성도
    • 농촌계획
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    • 제14권4호
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    • pp.97-108
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    • 2008
  • The present study construct a new technique that can evaluate diverse rural policies, which have been applied to the rural development programs at the village level. The method incorporates spatial econometrics models with a decomposition method that has little been utilized before. We applies the technique to evaluate the rural development programs that have been carried out by the Korea Forest Service and. Korea Rural Development Agency. The technique proved to be quite useful in that the technique efficiently separate the direct effect caused by the government policy from the effect explained by the endowment effect such as regional or area characteristics, and residual effect that cannot be identified by the models. The present study concludes with suggesting more quantitative methods need to be developed to evaluate diverse government policy programs, which enables us to discern correct policy effects.

The Effects of Spatial Factors on the Incidence of Violent Crime in Korea, 2005-2015

  • Lee, Kyungjae;Choi, Eunji;Lee, Seongwoo
    • Asian Journal of Innovation and Policy
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    • 제10권2호
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    • pp.249-273
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    • 2021
  • While many criminal studies have focused on the motivation of offenders and avoidance of victimization in the micro perspective, there have been a number of theoretical developments emphasizing space as a direct factor that influences the incidence of crime. The main purpose of this study is to analyze the effects of regional characteristics and violent crime incidence in Korea. Applying diverse spatial econometrics models that have less been utilized in the crime literature, this study finds an important association between spatial accessibility and crime incidence. The results suggest that the type of predominant business and the level of road accessibility affect the vulnerability of areas with respect to the incidence of violent crime. This study concludes with some important implications for urban planners and policymakers with respect to crime control and prevention.

Innovative Spatial Analysis of Violent Crime Hot Spots in Korea: Implications for Urban Policy

  • Kyungjae, Lee
    • Asian Journal of Innovation and Policy
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    • 제11권3호
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    • pp.320-341
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    • 2022
  • Empirical applications to explain criminogenic events are abundant. While much of the research in criminal studies concentrates on understanding the motivations of offenders and preventing victimization from a micro perspective, there have been recent theoretical advancements that give priority to the role of spatial factors in directly impacting crime rates. The primary purpose of this study is to investigate the empirical inference between violent crime incidence and spatial characteristics of local areas focusing particularly on spatial accessibility conditions in the areas. Applying discrete spatial econometrics models, this study reveals a significant relationship between spatial accessibility and the formation of violent crime hot spots in South Korea. Along with other variables, it is revealed that road accessibility has a clear association with violent crime hot spots. Based on the findings, this study suggests some policy implications such as effective surveillance systems, land use restrictions, and advanced street lighting.

청년농업인의 거주지역 선택 결정요인 (Factors Influencing Young Farmers' Residential Location)

  • 황정임;최윤지;최정신;정용경
    • 농촌지도와개발
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    • 제26권4호
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    • pp.181-191
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    • 2019
  • The purpose of this study is to identify the characteristics of young farmers' residential location characteristics. Based on residential location theory and previous studies on the stated preference for residential environment of young farmers, this study develops a spatial econometrics model using housing and neighborhood variables, accessibility variables, natural environment variables and farm economics and management variables. The findings suggest that the higher rate of young farmers has a positive relationship with higher population density, higher housing price, closer distance to city centers and Eup districts compared to Myeon districts. In addition, areas which have higher rate of farmers with high sales and growing certain crops such as fruits and vegetables are revealed to have higher rate of young farmers. This study presents that maintaining rural vitality is also crucial for attracting young farmers to rural areas and remaining them in the farm as active agricultural workforce.

STRUCTURAL CHANGES IN DYNAMIC LINEAR MODEL

  • Jun, Duk B.
    • 한국경영과학회지
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    • 제16권1호
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    • pp.113-119
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    • 1991
  • The author is currently assistant professor of Management Science at Korea Advanced Institute of Science and Technology, following a few years as assistant professor of Industrial Engineering at Kyung Hee University, Korea. He received his doctorate from the department of Industrial Engineering and Operations Research, University of California, Berkeley. His research interests are time series and forecasting modelling, Bayesian forecasting and the related software development. He is now teaching time series analysis and econometrics at the graduate level.

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