基于LM-BP神经网络模型，选取国际交往环境和本土发展环境8层面33个指标构建非洲农业投资环境评价指标体系，运用2011—2018年非洲49个国家的数据对非洲农业投资环境进行评价。结果表明：占比接近80%的非洲国家农业投资环境处于好的Ⅰ级和较好的Ⅱ级，6个国家处于投资环境较差的Ⅲ级，4个国家处于Ⅳ级；非洲沿海国家农业投资环境普遍优于内陆国家，西部和东南部国家农业投资环境相较中部国家更好，有5个国家农业投资环境出现优化升级；影响非洲农业投资环境的因素相互作用，中非双边政治经贸关系能有效改善中国农业企业在非投资环境。

Based on LM-BP neural network model, the evaluation index system of African agricultural investment environment is constructed to evaluate the African agricultural investment environment by selecting 33 indicators at 8 levels of international interaction environment and local development environment and employing the data of 49 African countries from 2011-2018. The results show that the agricultural investment environment in nearly 80% of the African countries is at Level I (good) and Level II (better), 6 countries are at level III (bad), and 4 countries Level IV. The agricultural investment environment of African coastal countries is generally better than that of inland countries, the agricultural investment environment of western and southeastern countries is comparatively better than that of central countries, and the agricultural investment environment of 5 countries has been optimized and upgraded. Owing to interaction of factors affecting African agricultural investment environment, the bilateral political and economic relations between China and Africa can effectively enhance Chinese agricultural enterprises’ investment environment in Africa.

F752