马鲁古省经济结构的变化及其对贫困的影响

Fibryano Saptenno, Janni Effendi, Muh Ridhwan Assel
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引用次数: 0

摘要

用于衡量经济结构变化及其对贫困影响的指标是第一产业增长因子(GR)、第二产业增长因子(GS)和第三产业增长因子(GT),它们是影响经济结构变化(YR、YS、YT)、人均收入和贫困水平的因素。到目前为止,马鲁古省仍然隶属于一个贫穷的省份。本研究旨在分析2009-2018年马鲁古省经济结构的变化及其对贫困的影响。本研究的数据收集方法采用文献技术。而确定经济结构的数据分析技术则采用区位商(LQ)分析和移位份额分析。同时,为了衡量经济结构对贫困水平的影响,通过两阶段分析进行。第一阶段是直接分析经济结构对贫困水平的影响,第二阶段是通过对劳动力的吸收来分析经济结构对贫困水平的影响。所用的分析技术是路径分析技术。基于研究结果(1)从2009-2018年马鲁古省区域国内生产总值(GRDP)的Shift Share分析来看,马鲁古省经济结构以第一产业为主,从9个产业的Shift Share分析的总构成来看,对GRDP贡献最大的三个产业分别是农业、建筑业和服务业。而2009-2018年马鲁古省就业的Shift Share分析结果显示,第一产业的Shift Share构成值为负,为-31775名工人,其吸收劳动力的速度比省级同一产业慢。通过路径分析的数据分析结果表明:(2)经济结构对就业的贡献和显著影响高达55%;(3)经济结构对贫困率有直接影响,对贫困率有显著影响(约为40%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CHANGES IN ECONOMIC STRUCTURE AND THEIR EFFECT ON POVERTY IN MALUKU PROVINCE
The indicators used to measure changes in economic structure and their effect on poverty are the Primary Sector Growth Factor (GR), Secondary Sector Growth (GS), and Tertiary Sector Growth (GT) are factors that affect Economic Structure Change (YR, YS, YT ), Per capita Income, and Poverty Level. So far, Maluku Province is still attached to a poor province. This study aims to analyze changes in economic structure and their effect on poverty in Maluku Province for the 2009-2018 period. The data collection method in this study uses documentation techniques. While the data analysis technique to determine the economic structure uses Location Quetient (LQ) analysis and Shift Share analysis. Meanwhile, to measure the influence of the economic structure on the poverty level, it is carried out through a two-stage analysis. The first stage is to directly analyze the effect of the economic structure on the poverty level, then the second stage is to analyze the effect of the economic structure on the poverty level through the absorption of labor. The analytical technique used is Path Analytic technique. Based on the results of the study (1) From the Shift Share analysis of the Gross Regional Domestic Product (GRDP) of Maluku Province in 2009-2018, it shows that the economic structure in Maluku Province is dominated by the primary sector, as seen from the total component of the Shift Share analysis of the nine sectors, there are The three sectors that contribute the most to GRDP are agriculture, construction, and services. While the results of the Shift Share analysis on the employment of Maluku Province in 2009-2018, the primary sector has a negative Shift Share component value of -31775 workers, which is slower to absorb labor than the same sector at the provincial level. The results of data analysis through Path Analysis show that (2) the economic structure contributes and has a significant effect on employment as much as 55%; (3) The economic structure contributes directly and has a significant effect on the poverty rate by 40%.
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