Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis

Detalhes bibliográficos
Autor(a) principal: Majumder, Shapan Chandra
Data de Publicação: 2022
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Independent Journal of Management & Production
Texto Completo: http://www.ijmp.jor.br/index.php/ijmp/article/view/1545
Resumo: This study focuses on the scenario of the economic development of Bangladesh. The major objective of the study is to examine the economic and non-economic determinants of the economic growth of the country. This study employs the Multivariate OLS regression and GLM technique to explore the influences of those variables to the economic growth and development of the country. The empirical results show that agriculture, industry, and service sector contribution to real GDP are positive where industry and service sectors are statistically significant. The results of the economic determinant model illustrate that the capital, labor forces, imports, and total reserve of the country positively influence the economic development of the country which are significant also. The OLS estimation shows that coefficients of non-economic determinants such as control of corruption and bureaucratic quality are positively significant to influence the economy. The results also present that internal conflict, democratic accountability, and rule and order situation negatively affect the economic growth in Bangladesh. The GLM estimation shows the control of corruption, rule, and order also a positive effect on economic growth. These empirical findings are consistent with the exploratory analysis and practices.
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spelling Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysisEconomic DeterminantsNon-Economic DeterminantsGovernance QualityInfrastructureEconomic GrowthMultivariate OLSThis study focuses on the scenario of the economic development of Bangladesh. The major objective of the study is to examine the economic and non-economic determinants of the economic growth of the country. This study employs the Multivariate OLS regression and GLM technique to explore the influences of those variables to the economic growth and development of the country. The empirical results show that agriculture, industry, and service sector contribution to real GDP are positive where industry and service sectors are statistically significant. The results of the economic determinant model illustrate that the capital, labor forces, imports, and total reserve of the country positively influence the economic development of the country which are significant also. The OLS estimation shows that coefficients of non-economic determinants such as control of corruption and bureaucratic quality are positively significant to influence the economy. The results also present that internal conflict, democratic accountability, and rule and order situation negatively affect the economic growth in Bangladesh. The GLM estimation shows the control of corruption, rule, and order also a positive effect on economic growth. These empirical findings are consistent with the exploratory analysis and practices.Independent2022-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.ijmp.jor.br/index.php/ijmp/article/view/154510.14807/ijmp.v13i2.1545Independent Journal of Management & Production; Vol. 13 No. 2 (2022): Independent Journal of Management & Production; 693-7182236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/1545/2136Copyright (c) 2021 Shapan Majumderhttp://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessMajumder, Shapan Chandra2022-05-01T13:22:54Zoai:www.ijmp.jor.br:article/1545Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2022-05-01T13:22:54Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false
dc.title.none.fl_str_mv Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis
title Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis
spellingShingle Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis
Majumder, Shapan Chandra
Economic Determinants
Non-Economic Determinants
Governance Quality
Infrastructure
Economic Growth
Multivariate OLS
title_short Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis
title_full Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis
title_fullStr Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis
title_full_unstemmed Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis
title_sort Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis
author Majumder, Shapan Chandra
author_facet Majumder, Shapan Chandra
author_role author
dc.contributor.author.fl_str_mv Majumder, Shapan Chandra
dc.subject.por.fl_str_mv Economic Determinants
Non-Economic Determinants
Governance Quality
Infrastructure
Economic Growth
Multivariate OLS
topic Economic Determinants
Non-Economic Determinants
Governance Quality
Infrastructure
Economic Growth
Multivariate OLS
description This study focuses on the scenario of the economic development of Bangladesh. The major objective of the study is to examine the economic and non-economic determinants of the economic growth of the country. This study employs the Multivariate OLS regression and GLM technique to explore the influences of those variables to the economic growth and development of the country. The empirical results show that agriculture, industry, and service sector contribution to real GDP are positive where industry and service sectors are statistically significant. The results of the economic determinant model illustrate that the capital, labor forces, imports, and total reserve of the country positively influence the economic development of the country which are significant also. The OLS estimation shows that coefficients of non-economic determinants such as control of corruption and bureaucratic quality are positively significant to influence the economy. The results also present that internal conflict, democratic accountability, and rule and order situation negatively affect the economic growth in Bangladesh. The GLM estimation shows the control of corruption, rule, and order also a positive effect on economic growth. These empirical findings are consistent with the exploratory analysis and practices.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/1545
10.14807/ijmp.v13i2.1545
url http://www.ijmp.jor.br/index.php/ijmp/article/view/1545
identifier_str_mv 10.14807/ijmp.v13i2.1545
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/1545/2136
dc.rights.driver.fl_str_mv Copyright (c) 2021 Shapan Majumder
http://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Shapan Majumder
http://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Independent
publisher.none.fl_str_mv Independent
dc.source.none.fl_str_mv Independent Journal of Management & Production; Vol. 13 No. 2 (2022): Independent Journal of Management & Production; 693-718
2236-269X
2236-269X
reponame:Independent Journal of Management & Production
instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
instname_str Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron_str IJM&P
institution IJM&P
reponame_str Independent Journal of Management & Production
collection Independent Journal of Management & Production
repository.name.fl_str_mv Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
repository.mail.fl_str_mv ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||
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