Browsing by Author "Mohsin, A.K.M."

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Differential Game Model and Coordination Model for Green Supply Chain Based on Green Technology Research and Development
(Heliyon, 2021) Mohsin, A.K.M.; Hossain, Syed Far Abid; Tushar, Hasanuzzaman; Iqbal, Mohammed Masum; Hossain, Alamgir
The purpose of this paper is to establish a green supply chain differential game model for green technology research and development based on a secondary green supply chain composed of a single manufacturer and a single retailer. It compares the differential game equilibrium solutions under centralized and decentralized decision-making. The green supply chain members are coordinated through the dynamic wholesale price mechanism, and numerical simulation is used as a methodology, to verify and explain the results. The study found that compared to decentralized decision-making, the level of green technology and the total profit of green channels are higher under centralized decision-making. When the coordination parameters are within a certain range, the dynamic wholesale price mechanism can coordinate the behavior of manufacturers and retailers. The result also discovers that under the dynamic wholesale price mechanism, with the increase of investment cost coefficient, or the increase of price sensitivity or the decrease of consumer's environmental awareness, the green technology level, product green degree, price, retailer's profit, and the total profit of green channel is decreased. In contrast, the wholesale price and manufacturer's profits are increased.
Examining the synergy of green supply chain practices, circular economy, and economic growth in mitigating carbon emissions: Evidence from EU countries
(2024-12-24) Mohsin, A.K.M.; Gerschberger, Markus; l Plasch, Michae; Ahmed, Sayed Farrukh; Rahman, Arifur; Rashed, Md.
Integrating green supply chain strategies and circular economy (CE) practices holds substantial potential for promoting environmental sustainability and reducing CO2 emissions. This study investigates the synergy between green supply chain practices, circular economy, and economic growth (RGDP) impacts on carbon emissions in 13 selected European Union (EU) countries, using a comprehensive panel dataset from 2000 to 2022. We employ both linear and nonlinear panel ARDL models, along with causality tests, to examine how CO2 emissions respond to changes in green supply chain management (GSCM), real GDP (RGDP), and various recycling practices, including bio-waste, municipal waste, and packaging waste. Our findings reveal that GSCM practices significantly reduce carbon emissions in the long run, while economic growth (RGDP) and municipal waste generation correlate positively with increased CO2 emissions. Interestingly, the nonlinear ARDL model highlights that only recycling packaging waste (RWP) exhibits a positive long-run effect on reducing emissions. Additionally, the method of moments quantile regression (MMQR) analysis indicates that the impact of GSCM is more pronounced at higher quantiles of CO2 emissions, whereas the effect of RGDP on emissions remains inconsistent. These results underscore the crucial need to adopt and enhance green supply chain practices within a circular economy framework to achieve substantial carbon emission reductions, holding significant implications for carbon emissions policies in the selected EU countries.
Green Logistics and Environment, Economic Growth in the Context of the Belt and Road Initiative
(Daffodil International University, 2022-06-05) Mohsin, A.K.M.; Tushar, Hasanuzzaman; Hossain, Sayed Far Abid; Chisty, Kazi Khaled Shams; Iqbal, Mohammed Masum; Kamruzzaman, Md.; Rahman, Siddiqur
Infrastructure development has been a priority area since the Belt and Road Initiative (BRI) was proposed. This paper uses the generalized method of moments (GMM) to analyze the relationship between the green logistics, environment and economic growth based on panel data of countries along the BRI from 2007 to 2018. It is found that fossil fuels are the core of logistics operation activities, and the more fossil fuels are used, the more detri- mental to the sustainable development of the environment. "The green logistics is negatively correlated with fossil fuel energy consumption and carbon emissions per capita in countries along the Belt and Road. At the same time, the green logistics can also bring more export opportunities for these countries and increase the national income per capita. The development of the green logistics is of great significance to the countries' environment and sustainable economic development along the Belt and Road.
Impacts of renewable and disaggregated non-renewable energy consumption on CO2 emissions in GCC countries: A STIRPAT model analysis
(2024-05-15) Abdullah Abbas Amer, Ebrahim Abbas; d Ali Meyad, Ebrahim Mohamme; Meyad, Ali M.; Mohsin, A.K.M.
This research investigates the effects of renewable (REC) and disaggregated non-renewable energy consumption (coal, oil, and natural gas) on CO2 emissions (CO2) in GCC countries, employing the STIRPAT model. The research also compares the impact of various non-renewable energy (NREC) sources to identify their contributions to CO2 emissions. Demographic factors like population and economic growth are considered main determinants of CO2. Panel data econometric methods are used, including diagnostic tests and unit root tests, to found long-run relationships among the variables. The study reveals significant positive associations between coal, natural gas, oil consumption and CO2, with oil having the highest impact. Conversely, REC shows a significant negative correlation with CO2. Economic growth and population are also linked to increased CO2. The findings emphasize the need for strategies promoting renewable energy usage, energy efficiency, public transportation, carbon pricing, and research in green technologies to alleviate CO2 and enhance sustainable development in the GCC countries.
Investigating the crowding effect of FDI on domestic investments: Evidence from Bangladesh
(2024-05-30) Ai-Jun, Guo; Farrukh Ahmed, Sayed; Mohsin, A.K.M.; Rahman, Arifur; Nahar Abdullah, Shamsul; Onn, Choo Wou; Saiyedul Islam, Mohammad
This study empirically investigates the crowding effect of Foreign Direct Investment (FDI) on domestic investments in Bangladesh, utilizing annual time series data from 1972 to 2022. Initially, unit root tests are conducted with and without considering structural breaks in the dataset. This study employs the Johansen test of cointegration to investigate the enduring association between the variables and utilizes the Vector Error Correction Model (VECM) to accommodate this relationship over the long term. Following the estimation of the VECM, formulas about the magnitude of the crowding effect (CE) are applied to examine the impact of FDI on domestic investment in Bangladesh. Results indicate that FDI positively influences domestic investments in both the short and long run.
Relationship Between Greenfield Investment and Economic Growth: Evidence From Bangladesh
(Elsevier, 2023-06-27) ai-jun, Guo; Ahmed, Sayed Farrukh; Mohsin, A.K.M.; Islam, K.M. Zahidul; Hossain, Syed Far Abid
The key purpose of the study is to investigate the relationship between Greenfield investment and economic growth of Bangladesh using annual time series data during the period 2003–2020. The study employs Toda-Yamamoto (T-Y) tests of Granger causality method that performs Modified Wald Test (MWALD) in order to establish causal relation among different variables. There are three steps in implementing the T-Y procedure. The first step involves using different tests (ADF, PP, and KPSS test) to identify the maximum order of integration of the variable. The second step requires selecting the optimal lag length (p) based on several lag length selection criteria. In the third step, MWALD approach is used for testing the vector auto regression model for causality. The results of the tests (ADF, PP, and KPSS) concluded that the maximum order of integration of the variables is two. Then, the optimal lag length of two (p = 2) has been selected based on several lag length selection criteria. Finally, the findings reveal the evidence of unidirectional causality from Real Greenfield Foreign Direct Investment (RGFDI) to Real Gross Domestic Product (RGDP). The key contribution of this study is to investigate the Greenfield investments-growth relationship for a country like Bangladesh.
Studies on cholera toxin with animal models including rats[abstract]
(1968) Aziz, K.M.S.; Mohsin, A.K.M.; Hare, K.W.; Phillips, R.A.
Using the rat as a cholera model
(1968) Aziz, K.M.S.; Mohsin, A.K.M.; Hare, W.K.; Phillips, R.A.