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您的检索式：作者名="Samina Sabir"
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| 1 | Institutions and FDI:evidence from developed and developing countries显示文摘This study investigates the impact of institutional quality on Foreign Direct Investment(FDI)inflows using panel data for low,lower-middle,upper-middle and high-income countries for the sample period of 1996-2016 using the system Generalized Method of Moments(GMM).The empirical results confirm that institutional quality has a positive impact on FDI in all group of countries.The magnitude of the coefficients of control of corruption,government effectiveness,political stability,regulatory quality,rule of law,and voice and accountability for FDI inflows are greater in developed countries than in developing countries.We conclude that institutional quality is a more important determinant of FDI in developed countries than in developed countries.However,GDP per capita,agriculture value-added as a percentage of GDP,and inflation influence FDI inflows negatively in developed countries,while GDP per capita,trade openness,agriculture value-added as a percentage of GDP,and infrastructure have positive and statistically significant impacts on FDI inflows in developing countries.Trade openness as a percentage of GDP and infrastructure positively affect FDI in developed countries.From our analysis,we infer that institutional quality is a more important determinant of FDI in developed countries than in developing countries. | Samina Sabir Anum Rafique Kamran Abbas | 2019 | Financial Innovation2019，5，1： | 1 |
| 2 | A Neural Study of the Fractional Heroin Epidemic Model显示文摘This works intends to provide numerical solutions based on the nonlinear fractional order derivatives of the classical White and Comiskey model(NFD-WCM).The fractional order derivatives have provided authentic and accurate solutions for the NDF-WCM.The solutions of the fractional NFD-WCM are provided using the stochastic computing supervised algorithm named Levenberg-Marquard Backpropagation(LMB)based on neural networks(NNs).This regression approach combines gradient descent and Gauss-Newton iterative methods,which means finding a solution through the sequences of different calculations.WCM is used to demonstrate the heroin epidemics.Heroin has been on-growth world wide,mainly in Asia,Europe,and the USA.It is the fourth foremost cause of death due to taking an overdose in the USA.The nonlinear mathematical system NFD-WCM discusses the overall circumstance of different drug users,such as suspected groups,drug users without treatment,and drug users with treatment.The numerical results of NFD-WCM via LMB-NNs have been substantiated through training,testing,and validation measures.The stability and accuracy are then checked through the statistical tool,such asmean square error(MSE),error histogram,and fitness curves.The suggested methodology’s strength is demonstrated by the high convergence between the reference solutions and the solutions generated by adding the efficacy of a constructed solver LMB-NNs,with accuracy levels ranging from 10?9 to 10?10. | Wajaree Weera Thongchai Botmart Samina Zuhra Zulqurnain Sabir Muhammad Asif Zahoor Raja Salem Ben Said | 2023 | Computers, Materials & Continua2023，，2： | 0 |
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