环境纠纷指导性案例中的利益衡量方法及其运用优化
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引用本文:尤 婷.环境纠纷指导性案例中的利益衡量方法及其运用优化[J].湖南大学学报社会科学版,2023,(3):134-141
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作者单位
尤 婷 (中南大学 法学院湖南 长沙 410083) 
中文摘要:利益衡量是一种主观性较强的裁判方法,环境纠纷指导性案例中运用利益衡量方法,能为类案提供某种客观的标准,实现“同案同判”。目前,环境纠纷指导性案例运用利益衡量方法在平衡具体利益、逻辑步骤与操作方法等方面有着详细的阐述,可为司法活动提供审判的模板。环境纠纷指导性案例中运用利益衡量方法具有合理解释法律、解决法律冲突、弥补法律漏洞等功能。但环境纠纷指导性案例中运用利益衡量方法时存在宏观思维定位缺失、利益标准不清晰等要素缺陷、说理不充分和异议表达制度有瑕疵的说理缺陷等。为此,未来发布的环境纠纷指导性案例应在明确利益衡量合理定位的基础上,进一步完善利益衡量要素、加强判决文书中利益衡量的说理等,为规范环境纠纷指导性案例中的利益衡量作出创新。
中文关键词:环境纠纷  指导性案例  利益衡量方法  运用优化
 
The Method of Measuring Interests in the Guiding Cases of Environmental Disputes and Its Application Optimization
Abstract:Interest measurement is a subjective method of judgment. The use of interest measurement in guiding cases of environmental disputes can provide some objective criteria for similar cases and achieve the same judgment in the same case . At present, the guiding cases of environmental disputes have been elaborated in detail in terms of balancing specific interests, logical steps and operational methods by using the method of interest measurement, which can provide a template for judicial activities. The use of the method of interest measurement in the guiding cases of environmental disputes has the functions of reasonable interpretation of laws, resolution of legal conflicts, and remedy of legal loopholes. However, when using the method of interest measurement in the guiding cases of environmental disputes, there are some defects such as lack of macro thinking orientation, unclear interest standards, inadequate reasoning and defective objection expression system. For this reason, in the future environmental dispute guidance cases, on the basis of clarifying the reasonable positioning of interest measurement, we should further improve the elements of interest measurement, strengthen the reasoning of interest measurement in the judgment documents, and make innovations to standardize the interest measurement in the environmental dispute guidance cases.
keywords:environmental disputes  guiding case  balance of interests  application optimization
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