DEINDUSTRIALIZATION AMONG ASEAN COUNTRIES AND RELATED AFFECTING FACTORS

This study aims to identify the causes of deindustrialization among ASEAN countries with years of analysis from 2000 to 2017. Secondary data in this study were obtained from CEIC and the analysis method used an econometric model approach to panel data. The variable used to describe deindustrializati...

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Main Authors: Sari N.A., Syahruddin
Format: Article
Language:English
Published: Russian Journal of Agricultural and Socio-Economic Sciences 2019-08-01
Series:Russian Journal of Agricultural and Socio-Economic Sciences
Subjects:
Online Access:https://rjoas.com/issue-2019-08/article_19.pdf
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spelling doaj-cc4dd37a8c634d44b72c893d5aede1392020-11-25T00:41:14ZengRussian Journal of Agricultural and Socio-Economic SciencesRussian Journal of Agricultural and Socio-Economic Sciences2226-11842019-08-0192817718610.18551/rjoas.2019-08.19DEINDUSTRIALIZATION AMONG ASEAN COUNTRIES AND RELATED AFFECTING FACTORSSari N.A.0Syahruddin1University of Kutai KartanegaraUniversity of Kutai KartanegaraThis study aims to identify the causes of deindustrialization among ASEAN countries with years of analysis from 2000 to 2017. Secondary data in this study were obtained from CEIC and the analysis method used an econometric model approach to panel data. The variable used to describe deindustrialization in this study (dependent variable) is manufacturing value added (MANVASUR) and the share of manufacturing in GDP (MANSHA). The results of the analysis show that per capita income, population, and economic openness have a significant effect on manufacturing value added (MANVASUR), while the share of manufacturing in GDP (MANSHA) is influenced by the wealth of natural resources, population, and economic openness. The population and per capita income of ASEAN member countries are positively related to the added value of the industrial sector, while economic openness is negatively related. This means that the more open the economy of a country, on the contrary the value added of the industrial sector actually decreases. Economic openness and natural resource wealth of ASEAN countries are positively related to the contribution (share) of the industrial sector to GDP, while the population is negatively marked by contribution (share) industrial sector to GDP. That means, the fewer the population, the less human resources involved in industry and industry will involve a lot of technology (capital intensive).https://rjoas.com/issue-2019-08/article_19.pdfDeindustrializationmanufacturingpopulationeconomic opennessincome per capita
collection DOAJ
language English
format Article
sources DOAJ
author Sari N.A.
Syahruddin
spellingShingle Sari N.A.
Syahruddin
DEINDUSTRIALIZATION AMONG ASEAN COUNTRIES AND RELATED AFFECTING FACTORS
Russian Journal of Agricultural and Socio-Economic Sciences
Deindustrialization
manufacturing
population
economic openness
income per capita
author_facet Sari N.A.
Syahruddin
author_sort Sari N.A.
title DEINDUSTRIALIZATION AMONG ASEAN COUNTRIES AND RELATED AFFECTING FACTORS
title_short DEINDUSTRIALIZATION AMONG ASEAN COUNTRIES AND RELATED AFFECTING FACTORS
title_full DEINDUSTRIALIZATION AMONG ASEAN COUNTRIES AND RELATED AFFECTING FACTORS
title_fullStr DEINDUSTRIALIZATION AMONG ASEAN COUNTRIES AND RELATED AFFECTING FACTORS
title_full_unstemmed DEINDUSTRIALIZATION AMONG ASEAN COUNTRIES AND RELATED AFFECTING FACTORS
title_sort deindustrialization among asean countries and related affecting factors
publisher Russian Journal of Agricultural and Socio-Economic Sciences
series Russian Journal of Agricultural and Socio-Economic Sciences
issn 2226-1184
publishDate 2019-08-01
description This study aims to identify the causes of deindustrialization among ASEAN countries with years of analysis from 2000 to 2017. Secondary data in this study were obtained from CEIC and the analysis method used an econometric model approach to panel data. The variable used to describe deindustrialization in this study (dependent variable) is manufacturing value added (MANVASUR) and the share of manufacturing in GDP (MANSHA). The results of the analysis show that per capita income, population, and economic openness have a significant effect on manufacturing value added (MANVASUR), while the share of manufacturing in GDP (MANSHA) is influenced by the wealth of natural resources, population, and economic openness. The population and per capita income of ASEAN member countries are positively related to the added value of the industrial sector, while economic openness is negatively related. This means that the more open the economy of a country, on the contrary the value added of the industrial sector actually decreases. Economic openness and natural resource wealth of ASEAN countries are positively related to the contribution (share) of the industrial sector to GDP, while the population is negatively marked by contribution (share) industrial sector to GDP. That means, the fewer the population, the less human resources involved in industry and industry will involve a lot of technology (capital intensive).
topic Deindustrialization
manufacturing
population
economic openness
income per capita
url https://rjoas.com/issue-2019-08/article_19.pdf
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AT syahruddin deindustrializationamongaseancountriesandrelatedaffectingfactors
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