Research on Residents' Emotional Tendency to Electricity Price Policy Based on Big Text Data from Social Media

Abstract

Abstract: The research on residents' emotional tendencies of electricity price policy is of great significance for improving residents' emotions and ensuring the effect of electricity policy. However, residents' policy emotions are often neglected. Based on 149950 real-time text data and natural language processing methods, we construct a new policy emotion variable, and study the time-varying characteristic, seasonal characteristic and policy emotion mechanism of policy emotion tendencies. The key results are:

(1) residents show positive emotional tendencies towards electricity price policy in the full sample;

(2) the heat of residents' emotional tendencies is characterized by three stages: pre-middle-post, and residents' emotional tendencies diverge towards a positive orientation in the third stage;

(3) in summer, residents' negative emotional tendencies have the highest heat and obvious convergence characteristic, mainly around 0. In winter, policy emotional tendencies diverge in a positive direction;

(4) the main causes of residents' negative emotional tendencies come from smart meters, electric heating, new energy development and electric power sector. The driving forces of residents' positive emotional tendencies include policy cognition, public participation and policy programme.

Keywords: Electricity price policy; Emotional tendencies; Emotional mechanism; Big text data