{"id":55,"date":"2016-03-02T11:35:03","date_gmt":"2016-03-02T11:35:03","guid":{"rendered":"http:\/\/bsmrau.edu.bd\/karim\/?page_id=55"},"modified":"2023-07-31T03:13:13","modified_gmt":"2023-07-31T03:13:13","slug":"international-journal","status":"publish","type":"page","link":"https:\/\/gau.edu.bd\/mila\/international-journal\/","title":{"rendered":"International Journal"},"content":{"rendered":"<ul>\n<li>Noorunnahar, M., <strong>Mila, F. A.*<\/strong>, and Haque, F. T. I. (2023). Does the supply response of maize suffer from climate change in Bangladesh? Empirical evidence using ARDL approach. <em>Journal of Agriculture and Food Research<\/em>, 14 (2023), 100667. (Scopus and ESCI Indexed, Best Quartile: Q1, Impact Factor: 3.80). DOI: https:\/\/doi.org\/10.1016\/j.jafr.2023.100667<\/li>\n<li><strong>Mila, F. A.<\/strong>, Nahar, A., Hossain, M. E. and Amin, M. R. (2023). Spatial Price Transmission in the Onion Markets of Bangladesh: An Application of NARDL Approach, <em>PLOS One<\/em>, 18(4): e0284555 (Scopus and ESCI Indexed, Best Quartile: Q1, Impact Factor: 3.75). DOI: https:\/\/doi.org\/10.1371\/journal.pone.0284555<\/li>\n<li>Noorunnahar, M., Chowdhury, A. H., and <strong>Mila, F. A.<\/strong>* (2023). A tree-based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the Annual Rice Production in Bangladesh. <em>PLOS One<\/em>, 18(3), e0283452 (Scopus and ESCI Indexed, Best Quartile: Q1, Impact Factor: 3.75). DOI: https:\/\/doi.org\/10.1371\/journal.pone.0283452<\/li>\n<li><strong>Mila, F. A.<\/strong>, Nahar, A., Amin, M. R*., Ahmed, A. and Culas, R. J. (2022). Empirical Assessment of Onion Supply Chain Constraints in Bangladesh: A Pre-Covid to Covid situation. <em>Journal of Agriculture and Food Research<\/em>, 10 (2022), 100418. (Scopus and ESCI Indexed, Best Quartile: Q1, Impact Factor: 3.80). DOI: https:\/\/doi.org\/10.1016\/j.jafr.2022.100418<\/li>\n<li>Nahar, A., <strong>Mila, F. A<\/strong>*., Culas, R. J. and Amin, M. R. (2022). Assessing the Factors and Constraints for Value Chain Development of Dairy Food Products in Bangladesh. <em>Heliyon<\/em>, 8 (10), e10787. (Scopus and ESCI Indexed, Best Quartile: Q1, Impact Factor: 4.00). DOI: https:\/\/doi.org\/10.1016\/j.heliyon.2022.e10787<\/li>\n<li><strong>Mila, F. A.<\/strong>, Noorunnahar, M., Nahar, A*., Acharjee, D. C., Parvin, M. T. and Culas, R. J. (2022). Modeling and Forecasting of Tea Production, Consumption and Export in Bangladesh. <em>Current Applied Science and Technology<\/em>, 22 (2), 1-20. (Scopus Indexed, Best Quartile: Q4, Cite Score: 0.72). DOI: 10.55003\/cast.2022.02.22.009.<\/li>\n<li>Parvin, M. T*., Birner, R. &amp; <strong>Mila, F. A.<\/strong> (2020). Factors Determining the Loan Repayment Performance of a Government Microcredit Program for the Handloom Weavers in Bangladesh. International Journal of Business and Management Science, 10(1), 101-116. ISSN 1985-692X.<\/li>\n<li><strong>Mila, F. A*<\/strong>., &amp; Parvin, M. T. (2019). Forecasting Area, Production and Yield of Onion in Bangladesh by Using ARIMA Model, <em>Asian Journal of Agricultural Extension, Economics &amp; Sociology<\/em>, 37(4), 1-12. DOI: 10.9734\/ajaees\/2019\/v37i430274.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Noorunnahar, M., Mila, F. A.*, and Haque, F. T. I. (2023). Does the supply response of maize suffer from climate change in Bangladesh? Empirical evidence using ARDL approach. Journal of Agriculture and Food Research, 14 (2023), 100667. (Scopus and ESCI Indexed, Best Quartile: Q1, Impact Factor: 3.80). DOI: https:\/\/doi.org\/10.1016\/j.jafr.2023.100667 Mila, F. A., Nahar, A., Hossain, [&hellip;]<\/p>\n","protected":false},"author":786069,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-55","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"description\" content=\"Noorunnahar, M., Mila, F. A.*, and Haque, F. T. I. (2023). Does the supply response of maize suffer from climate change in Bangladesh? Empirical evidence using ARDL approach. Journal of Agriculture and Food Research, 14 (2023), 100667. (Scopus and ESCI Indexed, Best Quartile: Q1, Impact Factor: 3.80). DOI: https:\/\/doi.org\/10.1016\/j.jafr.2023.100667 Mila, F. 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