dor_id: 4149281

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650.#.4.x: Biología y Química

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://www.revistascca.unam.mx/rica/index.php/rica/index

351.#.#.b: Revista Internacional de Contaminación Ambiental

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

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850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://www.revistascca.unam.mx/rica/index.php/rica/article/view/54588/47217

100.1.#.a: Fu, Xiaoxi; Sun, Xuecheng

524.#.#.a: Fu, Xiaoxi, et al. (2023). Analysis of packaging recycling patterns using mathematical modeling. Revista Internacional de Contaminación Ambiental; Vol. 38, 2023: Environmental Science and Policy for Sustainable Development; 109-116. Recuperado de https://repositorio.unam.mx/contenidos/4149281

245.1.0.a: Analysis of packaging recycling patterns using mathematical modeling

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

264.#.0.c: 2023

264.#.1.c: 2023-04-12

653.#.#.a: Express packaging; recycling; mathematical modeling; optimization; Express packaging; recycling; mathematical modeling; optimization

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico claudio.amescua@atmosfera.unam.mx

884.#.#.k: https://www.revistascca.unam.mx/rica/index.php/rica/article/view/54588

001.#.#.#: 105.oai:ojs.pkp.sfu.ca:article/54588

041.#.7.h: spa

520.3.#.a: With the rapid development of online shopping platforms, China’s express industry has embraced explosive growth, but, at the same time, numerous significant social problems also occur. Regarding the problems, how to deal with the large number of packaging from express delivery has become a growing concern for governments, e-commerce platforms, express enterprises, and ordinary consumers. Abandoned express packaging increases the cost of express enterprises and aggravates the environmental burden. Therefore, based on previous research, this paper tried to establish two recycling models and analyze their benefits through mathematical model deduction. By comparing the results, this paper aimed to set up a model to maximize express enterprises’ revenue from recycling packaging. According to the results, regardless of the governmental subsidies, the revenue from recycling packaging was bound up with the environmental awareness of residents and the recycling price. Through the comprehensive analysis, the author hopes that the results could provide express enterprises with the option of the best recycling model in different contexts and help governments formulate more appropriate recycling policies.

773.1.#.t: Revista Internacional de Contaminación Ambiental; Vol. 38 (2023): Environmental Science and Policy for Sustainable Development; 109-116

773.1.#.o: https://www.revistascca.unam.mx/rica/index.php/rica/index

022.#.#.a: ISSN impreso: 0188-4999

310.#.#.a: Trimestral

300.#.#.a: Páginas: 109-116

264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

doi: https://doi.org/10.20937/RICA.54588

harvesting_date: 2023-11-08 13:10:00.0

856.#.0.q: application/pdf

file_creation_date: 2023-04-12 20:24:47.0

file_modification_date: 2023-04-12 20:24:48.0

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245.1.0.b: Analysis of packaging recycling patterns using mathematical modeling

last_modified: 2024-03-19 14:00:00

license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es

license_type: by-nc

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