{"title":"对印尼和菲律宾地区经济和收入关系的空间分析","authors":"Duwi Yunitasari, A. Firdaus","doi":"10.19184/bisma.v16i1.13804","DOIUrl":null,"url":null,"abstract":"Indonesia and the Philippines are agrarian island countries, where there are spatial linkages which can be seen from the value of Gross Regional Domestic Product (GRDP) of the two countries. This study aims to analyze how the spatial dependencies of GRDP between provinces in Indonesia and between regions in the Philippines. In addition, it also aims to see the influence of the Government’s Original Local Revenue (PAD) on GRDP. The analytical tool used in this study is Moran's I, Lagrange Multiplier (LM) Test, Ordinary Least Square, Spatial Autoregressive Model (SAR), and Spatial Error Model (SEM) using Geoda software. The results of the analysis show that there is spatial dependencies in the two countries with clustered patterns, in which if the GRDP in the study area increases, it will increase the GRDP value in the surrounding area or those in direct contact. Based on the results of the analysis, the SAR model is the best model because it can be used to model economic growth in Indonesia and the Philippines. The results of modeling between provinces in Indonesia show that PAD has a significant effect on GRDP. The results of inter-provincial modeling in Indonesia show that PAD has a significant influence on GRDP. The same thing is also seen in the results of modeling between regions in the Philippines, which also shows that PAD has a significant influence on GRDP. \nKeywords: GRDP, LM, Moran’s I, SAR, Spatial Dependencies","PeriodicalId":416067,"journal":{"name":"BISMA: Jurnal Bisnis dan Manajemen","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"ANALISIS SPASIAL KETERKAITAN PEREKONOMIAN WILAYAH DAN PENDAPATAN DAERAH DI INDONESIA DAN FILIPINA\",\"authors\":\"Duwi Yunitasari, A. Firdaus\",\"doi\":\"10.19184/bisma.v16i1.13804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Indonesia and the Philippines are agrarian island countries, where there are spatial linkages which can be seen from the value of Gross Regional Domestic Product (GRDP) of the two countries. This study aims to analyze how the spatial dependencies of GRDP between provinces in Indonesia and between regions in the Philippines. In addition, it also aims to see the influence of the Government’s Original Local Revenue (PAD) on GRDP. The analytical tool used in this study is Moran's I, Lagrange Multiplier (LM) Test, Ordinary Least Square, Spatial Autoregressive Model (SAR), and Spatial Error Model (SEM) using Geoda software. The results of the analysis show that there is spatial dependencies in the two countries with clustered patterns, in which if the GRDP in the study area increases, it will increase the GRDP value in the surrounding area or those in direct contact. Based on the results of the analysis, the SAR model is the best model because it can be used to model economic growth in Indonesia and the Philippines. The results of modeling between provinces in Indonesia show that PAD has a significant effect on GRDP. The results of inter-provincial modeling in Indonesia show that PAD has a significant influence on GRDP. The same thing is also seen in the results of modeling between regions in the Philippines, which also shows that PAD has a significant influence on GRDP. \\nKeywords: GRDP, LM, Moran’s I, SAR, Spatial Dependencies\",\"PeriodicalId\":416067,\"journal\":{\"name\":\"BISMA: Jurnal Bisnis dan Manajemen\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BISMA: Jurnal Bisnis dan Manajemen\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.19184/bisma.v16i1.13804\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BISMA: Jurnal Bisnis dan Manajemen","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19184/bisma.v16i1.13804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
印度尼西亚和菲律宾都是农业岛国,从两国的区域国内生产总值(GRDP)的价值可以看出,这两个国家存在空间联系。本研究旨在分析印尼省与省之间、菲律宾地区与地区之间的空间依赖关系。此外,它还旨在了解政府原始地方收入(PAD)对GRDP的影响。本研究使用的分析工具是Moran’s I,拉格朗日乘数(LM)检验,普通最小二乘法,空间自回归模型(SAR)和空间误差模型(SEM),使用Geoda软件。分析结果表明,两国具有空间依赖性,研究区GRDP增加,会带动周边或直接接触区域的GRDP值增加。根据分析结果,SAR模型是最好的模型,因为它可以用来模拟印度尼西亚和菲律宾的经济增长。印尼各省间模型分析结果表明,PAD对GRDP有显著影响。印尼省际模型结果表明,PAD对GRDP有显著影响。在菲律宾不同区域间的建模结果中也可以看到同样的情况,这也表明PAD对GRDP有显著的影响。关键词:GRDP, LM, Moran 's I, SAR,空间依赖性
ANALISIS SPASIAL KETERKAITAN PEREKONOMIAN WILAYAH DAN PENDAPATAN DAERAH DI INDONESIA DAN FILIPINA
Indonesia and the Philippines are agrarian island countries, where there are spatial linkages which can be seen from the value of Gross Regional Domestic Product (GRDP) of the two countries. This study aims to analyze how the spatial dependencies of GRDP between provinces in Indonesia and between regions in the Philippines. In addition, it also aims to see the influence of the Government’s Original Local Revenue (PAD) on GRDP. The analytical tool used in this study is Moran's I, Lagrange Multiplier (LM) Test, Ordinary Least Square, Spatial Autoregressive Model (SAR), and Spatial Error Model (SEM) using Geoda software. The results of the analysis show that there is spatial dependencies in the two countries with clustered patterns, in which if the GRDP in the study area increases, it will increase the GRDP value in the surrounding area or those in direct contact. Based on the results of the analysis, the SAR model is the best model because it can be used to model economic growth in Indonesia and the Philippines. The results of modeling between provinces in Indonesia show that PAD has a significant effect on GRDP. The results of inter-provincial modeling in Indonesia show that PAD has a significant influence on GRDP. The same thing is also seen in the results of modeling between regions in the Philippines, which also shows that PAD has a significant influence on GRDP.
Keywords: GRDP, LM, Moran’s I, SAR, Spatial Dependencies