Given that there has been ecological degradation for a long time in Shanxi Province, China. This research addresses this situation by analyzing the energy structure and environmental risk in the past and in the future. Consequently, this study uses two indicator systems, ecosystem interaction system and environmental risk representation, to illustrate the environmental risk in an energy intensive region of China. And we build a BP-SVM model applying a back-propagation (BP) neural network and support vector machine (SVM) arithmetic to predict the future ecology-economy-society system interactions in Shanxi Province. At last, we classify the risk rank by using environmental risk representation indicators. The main conclusions from this research are as follows: Firstly, two indicator systems have advantages in describing the ecological-economy-society interaction especially the human society's impact on the ecosystem over a single indicator system. Secondly, by the BP-SVM model, there is a relatively high ecological risk rank in next few years in Shanxi Province, although it fluctuates occasionally. Finally, this study not only offers recommendations for the government to develop policies to transform from a coal-energy based system to a clean, safe, and efficient modern energy system, but also points out the implications for government administrations in energy intensive areas of developing countries to guide the economic transformation. INDEX TERMS Energy intensive region, environmental risk, ecosystem interaction prediction, risk recognition, policy implications.

Ecological poverty alleviation is a new idea that combines environmental protection and poverty alleviation, and the ecological industry poverty alleviation is an important part of it. The ecological poverty alleviation industry involves multiple bodies. Since different bodies have different strategic choices, there is a complex game relationship between them. From the perspective of evolutionary game, this article explores the game situation between local government and enterprises in the ecological poverty alleviation industry, and puts forward corresponding policy recommendations based on the results of game analysis.