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All Journal International Conference on Sciences Development and Technology
Lubis, Satia Negara
Universitas Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics

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Testing the Best Development Planning Collaboration Model in Moderating the Acceleration of Regional Economic Development Panjaitan, Dikky Anugerah; Lubis, Satia Negara; Sabrina, T.; Badaruddin, Badaruddin
International Conference on Sciences Development and Technology The 3rd ICoSDTech 2023
Publisher : International Conference on Sciences Development and Technology

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Abstract

Regional economic development is the ability to generate additional income or improve welfare. The effectiveness of the Sumatra Provincial Government in implementing economic development. This research aims to examine a collaborative development planning model that can support economic development in North Sumatra Province. Structural Equation Model (SEM) was adopted as an analytical framework using a quantitative approach with a focus on cause-and-effect relationships and influences. The results show that only the Top-Down Planning Pattern has a direct impact on Regional Economic Development. Apart from that, the collaborative model of Dawes & Eglene, Djumara, and Ansell & Gash can increase regional economic development. Based on data analysis, the Collaborative model is proven to be effective compared to the direct influence of Bottom-Up and Top-Down planning. Meanwhile, Bottom-Up planning which is strengthened by the Djumara model was chosen as the most effective in increasing regional economic development. Among the three collaboration models, Djumara and Ansell & Gash have a positive impact on this variable. However, through indirect testing, Dawes & Eglene, Djumara, and Ansell & Gash can mediate or improve these variables. Based on the results, Bottom-Up planning through the Djumara model is most effective in increasing regional economic development. This model is recommended as a shortcut to effective development planning using Collaborative Culture, Leadership, Strategy, and Team Processes.
Forward and Backward Linkages of Economic Sectors and Determination of Leading Sectors in Southeast Aceh Regency Roza, Denny Febrian; Lubis, Satia Negara; Sihombing, Luhut; Kesuma, Sinar Indra
International Conference on Sciences Development and Technology The 3rd ICoSDTech 2023
Publisher : International Conference on Sciences Development and Technology

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Abstract

This study examines the forward and backward linkages of economic sectors in Southeast Aceh Regency, Indonesia, to identify leading sectors that can drive regional economic growth. Using input-output analysis, the research evaluates the interdependence between sectors by assessing how changes in one sector influence others through supply chains (backward linkages) and demand distribution (forward linkages). The findings reveal key sectors with strong linkages, indicating their potential to stimulate economic activity and generate multiplier effects. The study identifies agriculture, mining, and manufacturing as sectors with significant backward linkages, while trade and services exhibit strong forward linkages. Based on these linkages, the research proposes strategic recommendations for prioritizing leading sectors to enhance regional development. The results provide valuable insights for policymakers in Southeast Aceh Regency to design targeted economic policies, optimize resource allocation, and foster sustainable growth. This study contributes to the broader understanding of regional economic dynamics and offers a framework for identifying leading sectors in similar contexts
Co-Authors Badaruddin, Badaruddin Kesuma, Sinar Indra Panjaitan, Dikky Anugerah Roza, Denny Febrian Sabrina, T. Sihombing, Luhut