MEMODELKAN PRODUK DOMESTIK REGIONAL BRUTO DI INDONESIA MENGGUNAKAN REGRESI DATA PANEL SPASIAL

N. Astuti, NI Luh Putu Suciptawati, M. Susilawati
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Abstract

Gross regional domestic product (GRDP) is one of the important indicators to determine economic conditions in a region. The magnitude of the growth rate of GRDP is developed by the progress of regional economic development, both carried out by the government and the private sector in order to improve the welfare of the population. The purpose of this study is to examine the business sector that has the most significant influence on GRDP in Indonesia by applying spatial panel data regression. The results show that the best model in modeling GRDP in Indonesia is the spatial lag common effect which has an  value of 83,13% while the independent variables that are significant to the increase in GRDP can be divided into two, namely significant positive and significant negative effects. The variables that have a significant and positive effect on GRDP are agriculture, forestry, and fisheries , mining and quarrying  electricity and gas supply, water supply, waste management, waste and recycling, construction, financial services and insurance, real estate, and other services. wholesale and retail trade; car and motorcycle repair, transportation and warehousing, company services education services .
利用空间数据面板的回归,为印尼的国内地区生产总值建模
地区生产总值是决定一个地区经济状况的重要指标之一。GRDP增长率的大小是由政府和私营部门为改善人口福利而进行的区域经济发展的进展所决定的。本研究的目的是通过应用空间面板数据回归来检验对印尼GRDP影响最大的商业部门。结果表明,印尼GRDP建模的最佳模型是空间滞后共同效应,其值为83,13%,而对GRDP增加有显著影响的自变量可分为两类,即显著正效应和显著负效应。对GRDP产生重大积极影响的变量包括农业、林业和渔业、采矿和采石电力和天然气供应、供水、废物管理、废物和回收、建筑、金融服务和保险、房地产和其他服务。批发和零售贸易;汽车摩托车维修、运输仓储、公司服务教育服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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24 weeks
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