DC Field Value Language
dc.contributor.author이병훈-
dc.contributor.other장철수-
dc.contributor.other송성환-
dc.date.accessioned2018-11-15T09:48:03Z-
dc.date.available2018-11-15T09:48:03Z-
dc.date.issued2013-05-21-
dc.identifier.otherRE36-1-03-
dc.identifier.urihttp://repository.krei.re.kr/handle/2018.oak/20374-
dc.description.abstractThe objective of this study is to account for the influencing factors of the exports of wood sector and to draw out the implication for exports strategies. This study estimated the spatial gravity model to consider spatial autocorrelation effects among export countries using spatial econometrics approaches. The empirical results of this study are as follows. The export of wood products are positively influenced by the number of Korean residents, exchange rates variables. On the other hand, the export countries' production level and distance have negative effects on the dependent variable. As additional findings, The general gravity-type model was enhanced by adding the spatial autocorrelation effect. The results of goodness of fit test confirmed the spatial gravity models are more accurate than using general gravity model.-
dc.description.abstractThe objective of this study is to account for the influencing factors of the exports of wood sector and to draw out the implication for exports strategies. This study estimated the spatial gravity model to consider spatial autocorrelation effects among export countries using spatial econometrics approaches. The empirical results of this study are as follows. The export of wood products are positively influenced by the number of Korean residents, exchange rates variables. On the other hand, the export countries' production level and distance have negative effects on the dependent variable. As additional findings, The general gravity-type model was enhanced by adding the spatial autocorrelation effect. The results of goodness of fit test confirmed the spatial gravity models are more accurate than using general gravity model.-
dc.description.tableofcontents1. 서론2. 분석 자료와 모형3. 분석 결과4. 요약 및 결론-
dc.publisher한국농촌경제연구원-
dc.title공간중력모형을 이용한 목재류 수출의 결정요인 분석-
dc.title.alternativeA study on Determinants of Timber Export Using Spatial Gravity Model-
dc.typeKREI 논문-
dc.citation.endPage63-
dc.citation.startPage49-
dc.contributor.alternativeNameLee, Byounghoon-
dc.contributor.alternativeNameChang, Cheolsu-
dc.contributor.alternativeNameSong, Seonghwan-
dc.identifier.bibliographicCitationpage. 49 - 63-
dc.subject.keyword공간적 효과-
dc.subject.keyword공간계량경제-
dc.subject.keyword공간중력모형-
dc.subject.keywordSpatial effect-
dc.subject.keywordSpatial econometrics-
dc.subject.keywordSpatial gravity model-
Appears in Collections:
학술지 논문 > 농촌경제 / JRD
Files in This Item:
공간중력모형을 이용한 목재류 수출의 결정요인 분석.pdf (367.54 kB) Download

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.