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Abstract: This study investigates the impact of number of educational institutions on literacy rate. Furthermore, it aims to determine which education institutions (primary schools, kindergarten schools, NGO schools, secondary schools, colleges, madrasahs and other educational institutions such as technical and vocational institutions, medical colleges, engineering colleges, agricultural and veterinary college, public or private universities) have a significant influence on increasing literacy rate. Data of 489 Upazilas (including City Corporations and Dhaka Metropolitan) were collected from Bangladesh Bureau of Statistics (BBS, District Statistics 2011). This research found that number of government primary schools, kindergarten schools, non-government secondary schools, schools & college (operating jointly), government college, non-government college and madrasah had positive impact on literacy rate. It was also found that number of registered primary schools, private primary schools, NGO schools, government secondary schools, kawmi madrasah, ebtedayee madrasah has no positive impact on Upazila literacy rate of Bangladesh. Key words: Literacy rate, primary school, secondary school, madrasah, college, university |
62 | Nusrat Jahan Benozir , Unpaid care work vs. paid work of women: Relative contribution to the GDP of Bangladesh Barishal University Journal of Social Sciences, Volume 3, Issue 1 ,June 2023 |
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Abstract: The purpose of the study is to present a new framework in the relationship among audit firm size, abnormal audit fees & independent auditor’s opinion by introducing positive and negative abnormal fees as a mediator variable. In this study merely uphold a systematic representation of relationship among Audit Firm Size, Abnormal Audit Fees & Auditor’s Independence. This study constructs a measure of auditor profitability as a proxy for audit quality and the paper is based on the idea that audit quality is influence by abnormal audit fees and audit firm size. So two model is developed here to find out the relation. Pearson’s co efficient of correlation will be shown to uphold the relation among them. Multiple regression will be used to check the developed hypothesis. The main contribution of this studies is i) To know about the auditor's fee structure for ensuring auditor quality, ii) Ensure the auditors independence and firm size Relationships, iii) Potential investment decision making, iv) Familiarizing with auditing criterion Keywords: audit quality, audit firm size, abnormal audit fee. Attachment Read more |
64 | Dr. Mallika Saha , Md. Asiqur Rahman , Corporate Governance and Firm Performance: A Study on Food and Allied Companies Journal of The Patuakhali Science and Technology University ,June, 2017 |
65 | Md. Asiqur Rahman , Prospects, Benefits and Challenges in the Adoptation Of IFRS For SMEs in Bangladesh Barishal University Journal Part III, Volume 4 ,2017 |
66 | Nusrat Jahan Benozir , Determinants of Capital Structure: A study on Listed manufacturing companies of Bangladesh Barishal University Journal of Business Studies, Vol. 6, Issue 2 ,December- 2019 |
67 | Nusrat Jahan Benozir , Impact of Capital Structure on Firm Performance: An Empirical Analysis on Pharmaceutical Industry of Bangladesh Barishal University Journal of Business Studies, Vol. 10, Issue I & II ,March 2024 Read more |
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AbstractThe aim of this study is explore the effect of foreign direct investment on agriculture and rural development. For this, panel data of 46 countries from Asia were accumulated for the time frame 1991–2018. The models OLS, POLS, 2SLS, and GMM are employed in this study. The study reveals that there is a favorable association between foreign direct investment and agricultural land as percentage of total land using the models OLS, POLS, 2SLS. In stark contrast, value added for agriculture, forestry, and fishing has an unfavorable association with foreign direct investment in all models employed in the study. Furthermore, female employment in agriculture has a negative association with foreign direct investment in OLS, 2SLS and GMM models, whereas male employment in agriculture has a negative association with foreign direct investment in the POLS model only. Land under cereal production has a favorable association with foreign direct investment in all models except POLS, and permanent cropland has a favorable association with foreign direct investment in all models except GMM. In addition, rural population has a positive relationship with foreign direct investment in OLS, POLS and 2SLS and a negative relationship with foreign direct investment in GMM.
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69 | Nusrat Jahan Benozir , Predictability of Stock Returns: A Weak Form Efficiency Test of the Dhaka Stock Exchange Jahangirnagar University Journal of Business Research, 25(01), 55–68. ,29 June 2025 Read more |
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AbstractThis study investigates the relationship between net profit after tax and total assets, total equities, total turnover, current assets and current liabilities. Unbalanced panel Data of 49 Companies from 5 industries listed in Dhaka Stock Exchanges from 2010-2019 were collected from the website of that companies. Ordinary Least Square (OLS), Pooled Ordinary Least Square (POLS), Driscoll-Kraay (DK), Second Stage Least square (2SLS), Generalized Methods of Moments (GMM) models are used in this study. This research found that total assets (TA) had significant positive relationship with net profit after tax (NPAT) in all models except POLS and GMM models, total turnover (TT) had significant positive relationship with net profit after tax in all models and current assets (CA) had significant negative relationship with net profit after tax in OLS and 2SLS model in food and allied sector. In Fuel and power sector, it is found that NPAT and TA had significant negative relationship in all models except GMM. In this sector, TE, TT, CA had significant positive relationship in different models but CL had insignificant relationship. In Pharmaceuticals and Chemical industry and Engineering sector, TE, TT, CA and CL had significant positive relationship in different models but in textile industry there is no significant relationship among these variables though the overall model is significant at 10% level.
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