Sujan Chandra Paul FCA
(Associate Professor)Department of Accounting And Information Systems
Faculty of Business Studies
Contact
Email:
scpaul@bu.ac.bd
Phone:
01914636366
Short Biography:
Research Interests:
Experience
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Research Activities
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Resources
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Publication
| Sl. | Details |
|---|---|
| 1 | Nusrat Jahan , Sujan Chandra Paul FCA , Determinants of FDI inflows to Next 11 countries: A panel data analysis International Journal of Research in Business and Social Science ,06 September 2021 |
| 2 | Md. Mehedi Hassan , Nusrat Jahan , Sujan Chandra Paul FCA , Tandra Mondal , Nexus Between FDI and Production Indices: Evidence from Asian Countries Asian Journal of Empirical Research ,2021 |
| 3 | Ashim Kumar Nandi , Md. Asiqur Rahman , Nusrat Jahan , Sujan Chandra Paul FCA , Nexus Between FDI, Agriculture, and Rural Development: Evidence from Asian Countries Asian Journal of Agriculture and Rural Development ,2021 |
| 4 | Nahida Sultana , Nusrat Jahan , Sujan Chandra Paul FCA , Impact of Covid-19 on Foreign Direct Investment: Evidence from Bangladesh Innovation in Economy & Policy Research ,14 April 2022 Read more |
| 5 |
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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| 6 |
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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| 7 |
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 |
| 8 | Paul, S.C., Jahan, N., Nandi, A.K., & Rahman, M.A. (2021). Nexus between FDI, agriculture, and rural development: evidence from Asian countries. Asian Journal of Agriculture and Rural Development, 11(4), 311-3 19. DOI: 10.18488/journal.ajard.2021.114.311.319 [Q3; Scopus indexed]. Read more |
| 9 | Paul, S.C., Nandi, A.K., Zohora, F.T., & Hosen, M.A. (2025). Impact of Foreign Direct Investment on Educational Attainment: Empirical Evidence from Asian Countries. International Journal of Research in Business and Social Science, 14(4), 229–239. https://doi.org/10.20525/ijrbs.v14i4.3944 [ProQuest’s Social Sciences Database, ProQuest’s [ABI/INFORM], and EBSCO indexed]. Read more |
