巴基斯坦矿产资源丰富，是我国“全天候战略合作伙伴”和重要的矿业投资国家之一。本文从政治法律、经济金融、资源开采、社会文化和基础设施5个风险层面出发，通过构建巴基斯坦矿业投资环境风险评价指标体系，采用改进的CRITIC法确定指标权重，再利用TOPSIS法集结指标信息，最后结合深度学习模型对巴基斯坦矿业投资环境进行评价和预测。研究结果表明：（1）逆全球化风险、资源丰富度、社会稳定、环境规制、信用风险和腐败风险是巴基斯坦矿业投资环境的主要影响因素；（2）2000—2022年巴基斯坦矿业投资环境评分总体呈螺旋上升态势，风险等级降低到中等风险后呈稳定状态。各一级指标中除基础设施风险评分总体呈动态下降趋势外，政治法律风险、经济金融风险、社会文化风险以及资源开采风险评分均呈波动上升趋势；（3）2023—2033年巴基斯坦矿业投资环境由中等风险降为较低风险水平，稳中向好。

Pakistan is rich in mineral resources and is one of China’s “all-weather strategic partners” and an important mining investment country.Based on the five risk levels of politics and law，economy and finance，resource extraction，social culture and infrastructure，this paper constructs a mining investment environmental risk evaluation index system in Pakistan from a dynamic perspective.The weight of indicators is determined by the improved CRITIC method，and the index information is collected by the TOPSIS method to explore the possible risk factors of Pakistan’s mining investment environment，so that the evaluation results are more accurate，scientific and referenceable.The deep learning model was used to predict the mining investment environment in Pakistan from 2023 to 2033，which provides a reference for the risk prevention of Pakistan’s mining investment environment in the future.The results show that：（1）Anti-globalization risk，resource abundance，social stability，environmental regulation，credit risk and corruption risk sink are the main influencing factors of Pakistan’s mining investment environment.（2）From 2000 to 2022，Pakistan’s mining investment environment score generally showes a spiraling trend，and the risk level was stable after being reduced to medium risk.In addition to the overall dynamic downward trend of infrastructure risk scores，the political and legal risks，economic and financial risks，social and cultural risks and resource exploitation risk scores all show a fluctuating upward trend.（3）From 2023 to 2033，Pakistan’s mining investment environment will be reduced from medium risk to low risk level，stable and improving.