Impact of Attributional Style of Behavior Outcome on the Sustainable Development of Residents’ Energy-Saving Behavior: Differences in Policy Responses of Residents

Author:

Yue Ting1,Zhou Jing1,Zhang Yingkai1,Li Mengting1,Wang Qianru1,Long Ruyin23,Liu Junli1

Affiliation:

1. School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China

2. School of Business, Jiangnan University, Wuxi 214122, China

3. The Institute for Jiangnan Culture, Jiangnan University, Wuxi 214122, China

Abstract

In the context of promoting the construction of an energy-saving and environment-friendly society, it is crucial to promote the sustainable development of residents’ energy-saving behaviors, determine how attributional styles of behavior outcome affect residents’ energy-saving behaviors, and examine how different residents respond to intervention policies. Based on the attribution theory, this study constructs a theoretical model of the impact mechanism of the attributional style of behavior outcome on residents’ energy-saving behaviors. Regression analysis and the quadratic response model were used to test all 1254 valid questionnaires. The results show that the residents’ degrees of understanding, support, and implementation of the energy-saving policies presented inconsistent situations. Residents’ degrees of understanding and support of energy-saving policies positively promote the degree of implementation of energy-saving policies. The consistency of understanding and support has a non-linear influence on the degree of implementation of energy-saving policies. Additionally, the public’s understanding, support, and implementation of energy-saving policies have significant differences in the attribution style of behavioral outcomes. Finally, some relevant policy recommendations are put forward.

Funder

National Natural Science Foundation of China

Major Projects of the National Social Science Foundation of China

Key Projects of National Social Science Foundation of China

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference57 articles.

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4. Energy-saving behavior of urban residents in China: A multi-agent simulation;Yue;J. Clean. Prod.,2020

5. Chinese Government Website (2022, September 02). Action Plan for Carbon Dioxide Peaking before 2030, Available online: http://www.gov.cn/xinwen/2021-10/26/content_5645001.htm.

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