How Did the Comprehensive Commercial Logging Ban Policy Affect the Life Satisfaction of Residents in National Forest Areas? A Case Study in Northeast China and Inner Mongolia

Abstract

To protect the forest ecological environment, China implemented the Comprehensive Commercial Logging Ban Policy (CCLBP), yet it has a major impact on forest residents. Therefore, this study aimed to evaluate the CCLBP from the perspective of the satisfaction of residents. In this study, we used 242 questionnaires from residents in national forest areas in Northeast China and Inner Mongolia to evaluate satisfaction and its influencing factors by factor analysis combined with the entropy method and multiple linear regression, respectively. The results show that: (1) the overall policy satisfaction of residents in national forest areas is 60.9, which is lower than the theoretical neutral value of policy satisfaction. Increasing employment opportunities, transferring surplus employees and developing forest economy are important to improve the satisfaction of residents. (2) Life satisfaction was higher in the high-income group than in the low-income group. Increasing wage income can improve the satisfaction of residents in national forest areas. (3) The satisfaction of the worker group was significantly higher than that of the forest farmer group. Improving job stability and policy equity are important to promote life satisfaction of residents in national forest areas. (4) The satisfaction of the Yichun Forest Industry Group was significantly higher than the Inner Mongolia Forest Group. Natural resource endowment and adaptability to the CCLBP are the main factors affecting the satisfaction of different forest industry groups. At the same time, focusing on the institutional supply of external support policies in order to provide them access to information, employment advice and other services is very significant. This research provides a new approach to studying the CCLBP, which is of great practical significance for raising the wellbeing index of national forest areas.