IMPLEMENTATION OF SEM-PLS MODELING ON THE IMPACT OF THE REGIONAL COMPETITIVENESS INDEX ON SOCIOECONOMIC MACRO VARIABLES

P. Sihombing, A. M. Arsani, Dyah Purwanti, Sigit Budiantono
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Abstract

The Regional Competitiveness Index (RCI) is one of the essential indicators to measure the ability of a region to compete with other regions in the economic, social, and environmental fields. Increasing regional competitiveness is one of the goals desired by every local government to encourage economic growth and community welfare. This study aims of the research to find out the relationship between the Regional Competitiveness Index (RCI) and socioeconomic macroeconomic variables such as the growth of Gross Regional Domestik Bruto (GRDP), Human Development Index (HDI), Foreign Investment, Domestic Investment, Regional Income and poverty rates in Indonesia in 2022 in Indonesia. The data used are publication data from the National Innovation Research Agency (BRIN) and the Statistic Indonesia (BPS) in 2022. The analysis model used is the PLS Structural Equation Model (SEM) model with SmartPLS software. The results showed that RCI significantly positively affected HDI, GRDP growth, Domestic Investment, Foreign Investment, and Regional Income. On the other hand, RCI significantly negatively affects the percentage of poor people. A comprehensive and targeted policy is needed so that the Regional Saiang Power Index continues to increase. In addition, supervision is needed related to programs that have been running related to regional competitiveness
区域竞争力指数对社会经济宏观变量影响的sem-pls模型的实现
区域竞争力指数(RCI)是衡量一个地区在经济、社会、环境等领域与其他地区竞争能力的重要指标之一。提高地区竞争力是每个地方政府为促进经济增长和社会福利所希望实现的目标之一。本研究的研究目的是找出区域竞争力指数(RCI)和社会经济宏观变量之间的关系,如总区域国内生产总值(GRDP)的增长,人类发展指数(HDI),外国投资,国内投资,区域收入和贫困率在印度尼西亚在印度尼西亚2022年。所使用的数据是国家创新研究机构(BRIN)和印度尼西亚统计局(BPS)在2022年发布的数据。使用的分析模型是使用SmartPLS软件的PLS结构方程模型(SEM)模型。结果表明,RCI对HDI、GRDP增长、国内投资、外国投资和区域收入均有显著的正向影响。另一方面,RCI对贫困人口比例有显著的负面影响。需要一项全面和有针对性的政策,以便区域Saiang电力指数继续上升。此外,还需要对正在进行的与地区竞争力相关的项目进行监督
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