Economic and non-economic determinants of economic growth in Bangladesh: multivariate regression analysis
Autor(a) principal: | |
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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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Independent Journal of Management & Production |
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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|| |
_version_ |
1821318742256123904 |