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The Catastrophe of Corruption in the Sustainability of Foreign aid:A Prediction of Artificial Neural Network Method in Indonesia

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Fudan Journal of the Humanities and Social Sciences 2023年第2期16卷 239-257页

作者： Ade Paranata Rishan Adha Hoang Thi Phuong Thao elin erlina sasanti Fafurida Doctoral School of Regional Policy and Economics University of PécsRákócziÚt 80Pécs 7622Hungary Department of Business Administration Chaoyang University of TechnologyNo.168Jifeng East RoadTaichung City 413Taiwan(ROC) Faculty of Economics and Business University of MataramMajapahit Str No.62Mataram 83115Indonesia Faculty of Economic Semarang State UniversityKelud Utara III StrSemarangIndonesia Faculty of Social and Political Science Muhammadiyah University of MataramAhmad Dahlan Str No.1Mataram 83115Indonesia Yersin Univerity 27Đường Tôn Thất TùngPhường 8Thành phốĐàLạtLâmĐồngVietnam

The rising corruption levels in Indonesia are becoming a cause for concern and raise doubts about their impact on the stability of foreign aid in the ***,this study aims to predict the long-term viability of foreign aid in Indonesia based on international perceptions of corruption and corruption cases in the *** were obtained from World Governance Indicators,the Indonesian Ministry of Finance,and the World Bank,and the study used a backpropagation artificial neural network(ANN)for *** results from ANN are compared to linear models and vector autoregression(VAR).The finding shows that ANN outperforms the other models based on the coefficient of determination and MSE ***,it highlights the strong relationship between corruption perception and foreign aid sustainability with an R-value of *** to the ANN estimation,gratification has a significant impact on foreign *** response to this finding,the study recommends the Indonesian government take action to combat corruption in maintaining the international trust and ensuring the stability of foreign aid.

关键词： Foreign aid Corruption Gratification Artificial neural network Indonesia

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