• 제목/요약/키워드: Moran's I test

검색결과 18건 처리시간 0.023초

Spatial Price Competition in the Korean Retail Gasoline Market

  • Kim, Donghun;Lee, Jiyon
    • 자원ㆍ환경경제연구
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    • 제23권4호
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    • pp.553-581
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    • 2014
  • This paper analyzes competition among service stations in the Korean gasoline market. We consider spatial differentiation as a source of product differentiation as well as the characteristics of the stations and vertical contracts between refiners and retailers as factors causing changes in equilibrium prices in the Korean gasoline retail market. The effect of the government's price disclosure policy on the retail market competition is also analyzed. Moran's I test indicates that the prices of neighboring gas stations are spatially correlated in the market. It is also found that gasoline prices for vertically integrated stations are much lower than those for independent stations. In addition, unbranded stations charge lower prices than branded stations but also induce branded stations to price more competitively. Meanwhile, the government's price disclosure policy did intensify price competition in the retail gasoline market. It is inferred that the price disclosure policy contributed to retailers gaining more bargain power in price negotiation with refiners, causing an eventual increase in retail prices.

지리가중회귀분석을 이용한 은평뉴타운 지가 분석 (Analysis of Eunpyeong New Town Land Price Using Geographically Weighted Regression)

  • 정효진;이지영
    • Spatial Information Research
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    • 제23권5호
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    • pp.65-73
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    • 2015
  • 서울시는 강북의 노후화 및 강남과 강북의 경제 불균형을 해소하고자 뉴타운 사업을 시행하였고, 이에 따라 은평구는 시범지구로 지정되었으며 2013년 최종적으로 사업이 완료되었다. 이에 본 연구는 은평구에서 진행된 뉴타운 사업에 따라 발전된 사회적, 경제적 요소들이 지가에 미치는 영향의 정도를 공간 효과를 반영한 지리가중회귀모델을 이용하여 분석하였다. 분석결과 기존의 지가분석에서 주로 이용된 선형회귀모델에 비해 높은 설명력을 가지고 있었으며, AIC값과 잔차의 Moran'I를 통해 좀 더 적합한 모델로 판정하였다. 또한 지역적으로 회귀계수의 차이가 있었으며 부호가 다르게 나타나는 경우도 있어 선형회귀모델을 통한 전역적인 분석방법보다 자세한 설명이 가능해졌다. 추후 은평구 개발에 있어 공간적 특성을 고려하여 지역을 개발한다면 실효성 강화에 도움이 될 수 있을 것으로 판단된다.

Research on Factors Affecting South Korea's OFDI Based on a Spatial Measurement Model

  • Su, Shuai;Zhang, Fan
    • Journal of Korea Trade
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    • 제26권1호
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    • pp.99-112
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    • 2022
  • Purpose - This paper empirically investigates via a spatial lag model from the perspective of space economy to find the influencing factors of South Korea's OFDI along with 60 countries. Design/methodology - In the study of regional economic phenomena, we must first test the corresponding spatial correlation, and on this basis, complete the construction of the spatial model. For the target research object, after testing the spatial correlation, if there is spatial correlation, a spatial measurement model is needed. This paper uses the global Moran's I index for calculation. Based on the characteristics and research needs of the research object, this paper selects the spatial lag model to verify the existence of the spatial effect and factors affecting OFDI. Findings - Our results show that export scale, infrastructure, technology level, political stability, resource endowment, market size, distance and labor cost have a certain impact on Korea's OFDI, but at present the distance and market size factors are the most important influencing factors for South Korea's OFDI, The technical level and political stability have little effect on South Korea's OFDI, and are not main factors determining South Korea's OFDI. Originality/value - Through spatial measurement verification, it was found that the spatial effect has a significant impact on OFDI, along with more than 60 countries. On this basis, relevant suggestions are put forward, which have strong practical significance for South Korea's OFDI to achieve healthy and sustainable development.

Spatial Characteristics and Driving Factors Toward the Digital Economy: Evidence from Prefecture-Level Cities in China

  • WANG, Haita;HU, Xuhua;ALI, Najabat
    • The Journal of Asian Finance, Economics and Business
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    • 제9권2호
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    • pp.419-426
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    • 2022
  • The digital economy is becoming an increasingly important source of regional competitiveness enhancement. The purpose of this research is to examine the spatial distribution characteristics of China's digital economy from 2016 to 2019. Moran's I analysis was performed to see if China's digital economy has spatial self-correlation. The Getis-Ord General G test was used to determine the clustering type of China's digital economy. In addition, we used OLS and GWR methodologies to figure out what drives China's digital economy level. The findings show that the digital economy is rapidly expanding throughout China; yet, there is a significant regional imbalance in the digital economy level in China, and the agglomeration of the digital economy is increasing over time. Furthermore, the findings reveal that human capital, information staff, telegram income, and Internet access are vital factors in the development of the digital economy. To close the digital economy gap, policymakers must invest in human capital and technology innovation. Simultaneously, the government must speed up the development and implementation of electronic information services.

주택유형이 범죄에 미치는 영향 분석 - 서울시 25개 자치구를 중심으로 - (Analysis for the Effect of Housing Types on Crime - Focused on the 25 Autonomous Districts in Seoul Metropolis -)

  • 박승훈
    • 한국주거학회논문집
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    • 제25권3호
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    • pp.85-92
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    • 2014
  • The purpose of this study is to explore the relationship between housing types and crime and to suggest the appropriate strategies and interventions of housing policies for crime prevention. For spatial analysis of crime data, spatial autocorrelation is tested by Moran's I Test. A Ordinary Least Squares-based regression model is employed because crime data used in this study fails to show spatial autocorrelation. Results show that housing type variables except non-residential housing type are not associated with crime. Among land-use characteristics, the percentage of commercial areas is likely to better explain crime occurrence rather than housing types. It is surprising that residents' satisfaction to housing environment has a positive direction in its relationship with crime even though it cannot have a statistical significance. However, fear of crime shows a negative direction with crime although it fails to have a statistical significance. The findings of this study can contribute to understand the association between housing types and crime when setting housing policies for crime prevention.

범죄연구에 있어 가변적 공간단위 문제(MAUP)의 스케일효과 검증 : 전국 읍면동과 시군구를 대상으로 한 성범죄 분석 (Test of the Scale Effect of MAUP in Crime Study: Analyses of Sex Crime Using Nation-Wide Data of Eup-Myon-Dong and Si-Gun-Gu)

  • 정진성;박종하
    • 한국콘텐츠학회논문지
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    • 제15권10호
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    • pp.150-159
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    • 2015
  • 본 연구는 지역사회 차원의 범죄연구에 있어 분석단위의 규모에 따라 결과가 달라지는 MAUP의 스케일 효과를 검증하고자 했다. 특히, 국내 최초로 전국의 모든 읍면동과 시군구를 대상으로 최근 이슈의 중심에 서있는 성범죄에 대한 공간적 자기상관, 변수들 간의 상관관계, 인과관계 분석을 시도했다. 분석 결과, 성범죄율의 자기상관은 가설과 달리 시군구의 Moran's I가 읍면동보다 큰 반면, 상관계수와 회귀분석의 결정계수는 가설에 맞게 대부분 시군구에서 더 큰 것으로 드러났다. 이는 합역수준이 높아질수록 자료의 통합으로 인해 발생하는 평균효과 때문으로 사료되었다. 성범죄의 원인에 대해서는 두 가지 특이한 점이 발견되었는바, 첫째, 비아파트거주비율이 읍면동과 시군구 단위에서 모두 성범죄를 감소시켰고, 둘째, 숙박음식업 비율은 읍면동 단위에서만 성범죄를 증가시키는 것으로 드러났다. 이는 향후 지역특성(예, 도시 vs. 시골, 풍요지역 vs. 빈곤지역)에 따른 세부적인 분석과 독립변수가 분석 단위별로 갖는 차별적 의미에 대한 추가적인 연구가 필요함을 시사한 결과였다. 본 연구가 지역사회 범죄연구를 촉진하고 성범죄에 대한 효과적인 대안 마련에 기여할 수 있기를 바란다.

공간 자기상관성을 고려한 산불피해지 경계 형성과 경관특성변수들과의 관계 (Relationships Between Edge Formation of Burned Forests and Landscape Characteristics with Consideration on Spatial Autocorrelation)

  • 이상우;원명수;이현주
    • 한국산림과학회지
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    • 제102권1호
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    • pp.113-121
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    • 2013
  • 가장자리는 산불 피해 후 산림생태계 변화 및 회복과정에 중요한 역할을 하는 것으로 알려져 있다. 본 연구는 산불피해지의 공간 자기상관성을 고려하여 산불피해지 가장자리 형성과 경관특성변수들과의 관계 분석에 목적을 두고 수행되었다. 연구대상지로는 2000년도에 발생한 삼척 산불피해지를 선정하였으며, 대상지내 경관특성변수 측정을 위하여 산불피해지 전 지역을 포함하도록 500 $m^2$ 격자를 생성하였다. 연구에 사용된 경관 특성 변수들로는 표고, 경사, TWI(Topographic Wetness Index), SRI(Solar Radiation Index)을 사용하였고, 연료유형변수와 토지피복 변수를 포함시켰다. 격자들은 산불피해지 경계선과 교차하는 격자는 가장자리로 그 외의 격자들은 내부지역으로 설정하였다. 공간자기 상관을 보정하기 위하여 경관 변형된 t-검정과 상관분석을 실시하였다. 분석 결과 산불피해지 경계 형성과 양의 관계를 보이는 변수는 TWI, SRI, 물, 전, 답, 개발지, 나대지이며, 음의 관계를 보이는 경관특성변수는 경사, 표고, 그리고 모든 연료 유형 변수들이었다. 특히 TWI은 r=0.437로 경계형성과 강한 양의 관계를 보였다. 따라서 산불 피해지의 경계는 산림과 이질적인 토지피복 혹은 토지이용이 존재하는 경우와 경사가 완만하고 표고는 낮으며, 토양 및 지표면의 상대습도가 높은 지형에서 형성될 가능성이 높은 것으로 나타났다.

Spatial modeling of mortality from acute lower respiratory infections in children under 5 years of age in 2000-2017: a global study

  • Almasi, Ali;Reshadat, Sohyla;Zangeneh, Alireza;Khezeli, Mehdi;Teimouri, Raziyeh;Naderi, Samira Rahimi;Saeidi, Shahram
    • Clinical and Experimental Pediatrics
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    • 제64권12호
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    • pp.632-641
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    • 2021
  • Background: Over the past few decades, various goals have been defined to reduce the mortality of children caused by acute lower respiratory infections (ALRIs) worldwide. However, few spatial studies to date have reported on ALRI deaths. Purpose: We aimed to assess the spatial modeling of mortality from ALRI in children under 5 years of age during 2000-2017 using a global data. Methods: The data on the mortality of children under 5 years old caused by ALRI were initially obtained from the official website of the World Health Organization. The income status of their home countries was also gathered from the Country Income Groups (World Bank Classification) website and divided into 5 categories. After that, in the ArcGIS 10.6 environment, a database was created and the statistical tests and related maps were extracted. The Global Moran's I statistic, Getis-Ord Gi statistic, and geographically weighted regression were used for the analyses. In this study, higher z scores indicated the hot spots, while lower z scores indicated the cold spots. Results: In 2000-2017, child mortality showed a downward trend from 17.6 per 100,000 children to 8.1 and had a clustered pattern. Hot spots were concentrated in Asia in 2000 but shifted toward African countries by 2017. A cold spot that formed in Europe in 2007 showed an ascending trend by 2017. Based on the results of geographically weighted regression test, the regions identified as the hot spots of mortality from ALRI in children under 5 years old were among the middle-income countries (R2=0.01, adjusted R2=8.77). Conclusion: While the total number of child deaths in 2000-2017 has decreased, the number of hot spots has increased among countries. This study also concluded that, during the study period, Central and Western Africa countries became the main new hot spots of deaths from ALRI.