Empirical Study on the Impact of Bio-energy Policy on Economy based on Decision Tree Classification

Abstract

China is currently in the critical stage of strategic structural adjustment, and the successful structural transformation not only means a qualitative leap in China's overall economic development, but also plays an important role in improving China's energy utilization efficiency. Facing the double pressures of international energy security and environmental degradation, biomass energy, as a new renewable energy source, has attracted unprecedented attention from all countries in the world. Developing biofuels has become a guide of energy policies in many countries including China. In this paper, a decision tree classification model is established to measure energy efficiency. Through theoretical analysis and empirical research, the impact of Bio-energy policy changes on economy is explored. The empirical results show that the adjustment of industrial structure has a significant impact on energy and environment, and the variables are highly sensitive, and the marginal cost of emission reduction is increasing. The conclusion of the study has forward-looking reference value for implementing the strategy of energy diversification and substitution, developing bioenergy and adjusting the policy system of agricultural development.