爪哇岛建筑业GRDP地理与时间加权回归分析

Sugi Haryanto, M. Aidi, A. Djuraidah
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引用次数: 2

摘要

建筑业是国民经济中具有战略价值的行业之一。一个地区的经济活动用地区国内生产总值(GRDP)来衡量。建筑业经济活动的发展情况可以从建筑业的生产总值中看出。地理和时间加权回归(GTWR)模型是地理加权回归(GWR)模型的发展,考虑了地点和时间的多样性。本研究采用二次数据,即建筑业GRDP数据作为响应变量,并采用人口数量、地方财政收入、面积、建筑企业数量四个解释变量。本研究的目的是确定影响每个县/市的因素,并利用GTWR模型每年观察爪哇建筑部门的GRDP。GTWR模型更有效地描述了2010-2016年爪哇岛各县/市建筑部门的GRDP价值。这可以通过均方根误差(RMSE)、平均绝对偏差(MAD)和平均绝对百分比误差(MAPE)的值的减小来表明。
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Analysis of Geographically and Temporally Weighted Regression (GTWR) GRDP of the Construction Sector in Java Island
The construction sector is one of the sectors that have strategic value in the national economy. Economic activity in an area is measured using the Gross Regional Domestic Product (GRDP). The development of economic activities in the construction sector can be seen from the GRDP of the construction sector. The Geographically and Temporally Weighted Regression (GTWR) model is a development of the Geographically Weighted Regression (GWR) model taking into account the diversity of locations and times. This study used secondary data, namely the data of GRDP the construction sector as a response variable and four explanatory variables, namely the number of population, local revenue, area, and the number of construction establishments. The purpose of this study is to determine the factors that influence each regency/municipality and each year observing the GRDP of the construction sector in Java with the GTWR model. GTWR model is more effective to describe the value of GRDP the construction sector of regencies/municipalities in Java Island in 2010-2016. This is indicated by the decrease in values of Root Mean Square Error (RMSE), Mean Absolute Deviation (MAD), and the Mean Absolute Percentage Error (MAPE).
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CiteScore
0.10
自引率
0.00%
发文量
11
审稿时长
15 weeks
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