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Manufacturing Sector Competitive Advantage: Case Study of South Sumatra Province using the Dynamic Shift Share Method Sony Tian Dhora; Nairobi; Arivina Ratih Taher; Toto Gunarto; I Wayan Suparta
ENDLESS: INTERNATIONAL JOURNAL OF FUTURE STUDIES Vol. 5 No. 3 (2022): ENDLESS : International Journal of Future Studies
Publisher : Global Writing Academica Researching & Publishing

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Abstract

The manufacturing industry sector is one of the sectors that has become a priority and has become a reference for other sectors in the Province of South Sumatra. The manufacturing industry sector consists of 16 sub-sectors. This study aims to analyze the competitive advantage of the manufacturing sub-sector in South Sumatra Province in 2017-2021. The method used in this study uses dynamic shift share analysis. The results of this study obtained ten processing industry sub-sectors that have competitive advantages, namely coal and oil refining; food and Drink; textiles and apparel; leather goods from leather and footwear; paper and articles of paper for printing and reproduction of recorded media; chemical, pharmaceutical and traditional medicine; rubber, goods made of rubber and plastics; non-metal mineral goods; base metal; as well as furniture, and the remaining six sub-sectors do not have a competitive advantage. This competitive advantage assessment can be seen from the results of dynamic shift share analysis calculations which have positive and negative values. This means that if the value of competitive advantage is positive, it can be said that the sub-sector has a competitive advantage, while those that have a negative value then the sub-sector does not have a competitive advantage so that a development strategy is needed.
Influence Human Development Index, Open Unemployment Rate, and Product Gross Regional Domesticity Per Capita on Poverty in Indonesia Gharas Umara; Toto Gunarto; Dedy Yuliawan
Revenue Journal: Management and Entrepreneurship Vol 2 No 1 (2024): Revenue Journal: Management and Entrepreneurship
Publisher : CV. Bimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/rjme.v2i1.561

Abstract

Poverty problem has become a problem in societies and countries in this world. Indonesia continues to try to get out of the poverty zone, and the government at the central and regional levels is carrying out various efforts and programs to lower poverty in Indonesia. This research was conducted to see the influence of human development index (HDI) data, unemployment rate open (TPT), and GDP per capita of 34 Provinces in Indonesia on the Number of Poor populations of 34 Provinces in Indonesia in 2022. This research uses a quantitative method with a descriptive approach. The data source in this research is secondary data from the Central Statistics Agency (BPS) in the form of data on the number of poor people in 34 provinces in Indonesia, and data on 34 provinces in Indonesia human development index (HDI), unemployment rate open (TPT), and GDP per capita originate from the Central Statistics Agency (BPS). All research results, which are variable independent in this study, have a simultaneous relationship with the number of poor people. The Human Development Index (HDI) is negative and significant in a way statistics on the number of poor people, the open unemployment rate (TPT) has an influence positive and essential in a way statistics on the number of poor people and GDP per capita influential negative and significant in a way statistical to the total poor population.
The Influence of Digital Technology on Economic Growth in 8 Asean Countries Diana Berliyani; Dedy Yuliawan; Toto Gunarto
Revenue Journal: Management and Entrepreneurship Vol 2 No 2 (2024): Revenue Journal: Management and Entrepreneurship
Publisher : CV. Bimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/rjme.v2i2.564

Abstract

This study explores the impact of individual internet usage, foreign direct investment, and average years of schooling on economic growth in the ASEAN region during the period 2014-2020. The panel regression analysis method was employed to analyze secondary data obtained from the World Bank and UNDP. The results of the fixed-effects regression model indicate that the variables of individual internet usage (IUI) and foreign direct investment (FDI) have a positive and significant impact on economic growth, while the average years of schooling (MYS) do not have a significant impact. These findings are consistent with previous research findings indicating that internet usage and foreign direct investment significantly contribute to economic growth in the region. However, the average years of schooling do not have a significant influence on economic growth in this study's context. The study shows that internet usage and foreign direct investment have a significantly positive impact on economic growth in ASEAN, while the average years of schooling do not have a significant effect. These findings imply that economic development policies in ASEAN should focus on enhancing technology infrastructure and investment environments, as well as reevaluating the education system.
The Effect of Electricity Consumtion, FDI, and Unemployment on Economic Growth in Indonesia 1990-2021 Adi Rahmansyah; Dedy Yuliawan; Toto Gunarto
Revenue Journal: Management and Entrepreneurship Vol 2 No 1 (2024): Revenue Journal: Management and Entrepreneurship
Publisher : CV. Bimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/rjme.v2i1.568

Abstract

The traditional economic growth hypothesis was created by experts known as the old economist analysts, pioneered by Adam Smith, Robert Malthus, David Richardo, and John Stuart Plant. Given the traditional hypothetical assumptions, economic development is influenced by several variables, including the number of workers seen from the population, the amount of capital, geographical area, and technological development. Economic growth displays how monetary applications increase income or payments for a local area from one period to another. The economic case in Indonesia is still happening now; looking at what aspects affect economic growth, this study examined the variables of Electricity Consumption, FDI, and Unemployment. This exploration uses time series data regression, quantitative methods, and secondary data from the Ministry of Energy and Mineral Resources (MEMR), Central Bureau of Statistics (BPS), and World Development Indicator data from 1990-2021. The data is examined using Eviews 12 software. The experimental results show that the variables of electricity consumption and FDI affect economic growth in Indonesia positively and significantly, while unemployment affects economic growth in Indonesia negatively and significantly for the period 1990-2021.