液态食品PET包装绿色转型的政策文本评价、企业公开证据与优化路径

柳虎威, 周丽, 杨江龙, 梁凯博

包装工程(技术栏目) ›› 2026, Vol. 47 ›› Issue (19) : 203-214.

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包装工程(技术栏目) ›› 2026, Vol. 47 ›› Issue (19) : 203-214. DOI: 10.19554/j.cnki.1001-3563.2026.19.021
绿色包装与循环经济

液态食品PET包装绿色转型的政策文本评价、企业公开证据与优化路径

  • 柳虎威1,*, 周丽1, 杨江龙2, 梁凯博3
作者信息 +

Policy Text Evaluation, Corporate Disclosure Evidence and Optimization Pathways for Green Transformation of Liquid-food PET Packaging

  • LIU Huwei1,*, ZHOU Li1, YANG Jianglong2, LIANG Kaibo3
Author information +
文章历史 +

摘要

目的 评价我国液态食品聚对苯二甲酸乙二醇酯(PET)包装绿色转型相关政策文本的多维结构,分析企业公开资料中的绿色包装证据并识别二者在共同议题维度上的结构差异。方法 选取观察期内10项国家层面政策,构建含9个一级变量、36个二级变量的政策建模一致性(Policy Modeling Consistency,PMC)指数;以2024报告期5份中国业务边界清楚的品牌企业年度可持续发展或环境、社会与治理(ESG)报告为企业样本,对源头减量、易回收设计、再生材料、回收网络、碳信息和产业链协同进行0、0.5、1三级证据编码;以政策覆盖度、资料证据等级均值和资料证据识别率作同维度描述性并列,通过18个单因素权重扰动情景检验PMC排序稳健性。结果 10项政策PMC指数均值为7.30,其中6项优秀、4项良好;rPET治理适配性均值最低,为0.400。企业资料证据等级总均值为0.900,资料证据识别率总均值为0.967;源头减量和易回收设计的资料证据等级均值均为1.000,再生材料仅为0.400,其识别率为0.800。18个权重扰动情景与等权基准的Spearman秩相关系数为0.985~1.000,优秀政策数为6~7项。结论 所选宏观政策的文本结构总体较完整,但现行PET设计和再生塑料规则与食品直接接触要求、瓶到瓶质量控制及跨企业可比碳数据之间仍缺少系统衔接,应完善场景化标准、分级激励、高值闭环、碳数据和差异化生产者责任机制。

Abstract

The work aims to evaluate the multidimensional textual structure of national policies concerning the green transformation of polyethylene terephthalate (PET) packaging for liquid foods, examine green-packaging evidence in corporate disclosures, and identify structural differences across shared thematic dimensions. Ten national-level policies issued during the observation period were assessed using a policy modeling consistency (PMC) index comprising 9 primary and 36 secondary variables. Five annual sustainability or environmental, social and governance (ESG) reports for the 2024 reporting year, each with a clearly identifiable Chinese business boundary, formed the corporate sample. Evidence was coded on a three-level scale of 0, 0.5 and 1 across six dimensions of source reduction, design for recycling, recycled-material application, collection networks, carbon information, and value-chain coordination. Policy coverage, mean evidence level and evidence recognition rate were juxtaposed descriptively within each dimension. The robustness of PMC rankings was tested using 18 one-factor-at-a-time weight-perturbation scenarios. The mean PMC index was 7.30; six policies were rated excellent and four good. The mean score for rPET-governance applicability was the lowest, at 0.400. Across the corporate reports, the overall mean evidence level was 0.900 and the overall evidence recognition rate was 0.967. Both source reduction and design for recycling had a mean evidence level of 1.000, whereas recycled-material application scored 0.400 and had a recognition rate of 0.800. Spearman's rank correlations between the equal-weight baseline and the 18 perturbation scenarios ranged from 0.985 to 1.000, with 6 to 7 policies classified as excellent. The selected policies therefore exhibit relatively complete textual structures, but existing PET-design and recycled-plastics rules are not yet systematically aligned with direct food-contact requirements, bottle-to-bottle quality control and comparable corporate carbon data. Policy improvement should focus on scenario-specific standards, graded incentives, high-value closed-loop recycling, carbon data and differentiated extended producer responsibility mechanisms.

关键词

液态食品包装 / 聚对苯二甲酸乙二醇酯 / 政策建模一致性指数 / 企业公开披露 / 包装循环体系

Key words

liquid-food packaging / polyethylene terephthalate (PET) / policy modeling consistency (PMC) index / corporate disclosures / circular packaging system

引用本文

导出引用
柳虎威, 周丽, 杨江龙, 梁凯博. 液态食品PET包装绿色转型的政策文本评价、企业公开证据与优化路径[J]. 包装工程. 2026, 47(19): 203-214 https://doi.org/10.19554/j.cnki.1001-3563.2026.19.021
LIU Huwei, ZHOU Li, YANG Jianglong, LIANG Kaibo. Policy Text Evaluation, Corporate Disclosure Evidence and Optimization Pathways for Green Transformation of Liquid-food PET Packaging[J]. Packaging Engineering. 2026, 47(19): 203-214 https://doi.org/10.19554/j.cnki.1001-3563.2026.19.021
中图分类号: TB48    F272   

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基金

国家社会科学基金(24FGLB047); 北京市社会科学基金项目(25BJ03282); 北京经济管理职业学院科技英才支持计划(25KJYCLH01); 北京经济管理职业学院科技创新团队建设项目(24KJTD01)

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