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All Journal International Journal for Advanced Research
Desry Rasmita Tarigan
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Analysis of Economic Sector Potential using the LQ and Shift Share Method in Batu Bara Regency for the 2019-2023 Period Nurita Pasaribu; Hotman Siboro; Desry Rasmita Tarigan
International Journal of Advanced Research Vol. 1 No. 5: February 2025
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/4417ng10

Abstract

This study aims to analyze the economic sector potential in Batu Bara Regency for the period 2019-2023 using the Location Quotient (LQ) and Shift Share Analysis (SSA) methods. The main objective is to identify key base and non-base sectors that significantly contribute to regional economic growth and to understand the dynamics of structural changes in the economy. The results indicate that sectors such as agriculture, forestry, fisheries, manufacturing, construction, and trade are base sectors with dominant contributions to the local economy, while the mining and financial services sectors are categorized as non-base sectors that have shown limited development. The SSA analysis reveals that the agriculture sector holds a significant competitive advantage, while other sectors face challenges in competitiveness at the provincial and national levels. Based on these findings, it is recommended that the local government prioritize the development of base sectors through policies that support productivity, innovation, and market expansion, in order to foster sustainable economic growth.
The Influence of the Agricultural Sector on Poverty Levels in Rural Areas of North Sumatra 2015-2024 Ginting, Renata Olivia; Novita Sari Br Kaban; Hernita Siagian; Desry Rasmita Tarigan; Muammar Rinaldi
International Journal of Advanced Research Vol. 2 No. 2: August 2025
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/9y577695

Abstract

This study aims to analyze the influence of the agricultural sector on poverty rates in rural areas of North Sumatra during the period 2015–2024. The background of this study is based on the fact that most rural residents depend on the agricultural sector for their livelihoods, but the poverty rate is still relatively high. This study uses a quantitative approach with secondary data from the Central Statistics Agency (BPS) and simple linear regression analysis using SPSS version 2022. The results of the study show that the agricultural sector has a significant effect on poverty rates, as indicated by the significance value of the T test and F test of 0.009 (<0.05). A negative regression coefficient of -0.022 indicates an inverse relationship, namely that an increase in the contribution of the agricultural sector tends to reduce poverty rates. The R² value of 0.599 indicates that 59.9% of the variation in poverty rates is explained by the agricultural sector, while the remaining 40.1% is influenced by other factors. This study concludes that strengthening the agricultural sector through increased productivity, access to technology, and sustainable policy support is an important strategy in reducing poverty in rural areas of North Sumatra.
Co-Authors Ginting, Renata Olivia Hernita Siagian Hotman Siboro Muammar Rinaldi Novita Sari Br Kaban Nurita Pasaribu