This study discusses the effect of national road performance on the ring road section on economic growth in Sragen Regency area. The purpose of this study is to identify the performance of national roads and their effect on economic growth in Sragen Regency. This study uses quantitative methods with secondary data obtained from related parties and analyzed using the Structural Equation Model (SEM) method with smart Partial Least Square (PLS) 3.0 version software. The results of the study show that the average value of national road performance for the ring road in the 2018–2021 period is in good condition with Road Condition Index (RCI) value of 6.67. The results of the analysis using smart PLS 3.0 showed that road performance has a positive and significant effect on economic growth with a correlation value of 0.438 on the Gross Regional Domestic Product (GRDP) indicator per sub-district and 0.371 on the Per Capita Income indicator.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

The Influence of the Performance of National Road for Goods Transportation Routes on Economic Growth in Sragen Regency

  • Ade Sandhy Atmaja,
  • Ary Setyawan,
  • Budi Yulianto

摘要

This study discusses the effect of national road performance on the ring road section on economic growth in Sragen Regency area. The purpose of this study is to identify the performance of national roads and their effect on economic growth in Sragen Regency. This study uses quantitative methods with secondary data obtained from related parties and analyzed using the Structural Equation Model (SEM) method with smart Partial Least Square (PLS) 3.0 version software. The results of the study show that the average value of national road performance for the ring road in the 2018–2021 period is in good condition with Road Condition Index (RCI) value of 6.67. The results of the analysis using smart PLS 3.0 showed that road performance has a positive and significant effect on economic growth with a correlation value of 0.438 on the Gross Regional Domestic Product (GRDP) indicator per sub-district and 0.371 on the Per Capita Income indicator.