Identifying predictors of environmentally significant behaviors (ESBs) can inform interventions to mitigate and adapt to climate change. Most past research, and the theories that shape it, focus on factors residing within individuals rather than within their social context. This paper argues for greater emphasis on social variables, as complements to person-level variables, in predicting ESBs. A sample of 2868 Australian survey panel members completed an online questionnaire containing measures of five personal variables, five social variables, and four types of ESBs. All predictors were positively associated with all ESBs. Controlling for sociodemographic and person-level variables, the block of social predictors explained unique variance in all criteria, especially in a measure of pro-environmental behavior. The strongest predictors were personal norm and community involvement. The social variables also had indirect and moderating effects. Better understanding, and improved interventions, can come from closer analysis of the roles of social variables in shaping ESBs.

识别对环境具有重要意义的行为（ESB）的预测因素可以为缓解和适应气候变化的干预措施提供信息。过去的大多数研究及其形成的理论都关注个体内部的因素，而不是其社会背景的因素。本文主张在预测 ESB 时更加重视社会变量，作为个人层面变量的补充。2868 名澳大利亚调查小组成员样本完成了一份在线调查问卷，其中包含五个个人变量、五个社会变量和四种 ESB 的测量值。所有预测因子均与所有 ESB 呈正相关。控制了社会人口统计和个人层面的变量，社会预测变量组解释了所有标准中的独特差异，特别是在环保行为的衡量标准中。最有力的预测因素是个人规范和社区参与。社会变量也具有间接和调节作用。更深入地分析社会变量在塑造 ESB 中的作用可以更好地理解并改进干预措施。