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dc.contributor.author | Zhou, Zhiwu | es_ES |
dc.contributor.author | Alcalá-González, Julián | es_ES |
dc.contributor.author | Yepes, V. | es_ES |
dc.date.accessioned | 2022-12-16T19:00:08Z | |
dc.date.available | 2022-12-16T19:00:08Z | |
dc.date.issued | 2022-12-12 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/190797 | |
dc.description.abstract | [EN] Human beings are now facing the increasingly urgent problem of global ecological environment pollution. To verify the scientific nature of environmental governance by governments of various countries, researchers need to provide a scientific basis and practical support for governments to adjust and formulate new policies and regulatory measures at any time through data analysis. This paper applies visual literature, aggregate analysis, engineering data programming, advanced mathematical science algorithms, and innovation entropy theory, and through this study obtains sustainable impact data from eight Chinese provinces in the 21st century, including environmental, economic, and social impacts. The results show that China¿s sustainable data should grow from 2021 to about 2044. After 2045, it will be stable, and there will be negative growth in a short period. The overall life cycle assessment (LCA) and social impact assessment (SIA) continue to remain in the positive range. There will be no negative growth in aggregate data and zero or negative emissions before 2108. The final research data are accurately presented in the form of annual emissions, which provide a scientific and theoretical basis for the government to formulate medium- and long-term ecological regulations and plans. | es_ES |
dc.description.sponsorship | This research was funded by the financial support of the Spanish Ministry of Science and Innovation (project: PID2020-117056RB-100), along with FEDER funding | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Sustainability | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Life cycle cost (LCC) | es_ES |
dc.subject | Life cycle assessment | es_ES |
dc.subject | Social impact assessment | es_ES |
dc.subject | Environment | es_ES |
dc.subject | Bridge | es_ES |
dc.subject | Carbon emissions | es_ES |
dc.subject.classification | INGENIERIA DE LA CONSTRUCCION | es_ES |
dc.title | Research on Sustainable Development of the Regional Construction Industry Based on Entropy Theory | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/su142416645 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PRE2021-097197//OPTIMIZACION HIBRIDA DEL CICLO DE VIDA DE PUENTES Y ESTRUCTURAS MIXTAS Y MODULARES DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO PRESUPUESTOS RESTRICTIVOS / | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117056RB-I00/ES/OPTIMIZACION HIBRIDA DEL CICLO DE VIDA DE PUENTES Y ESTRUCTURAS MIXTAS Y MODULARES DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO PRESUPUESTOS RESTRICTIVOS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports | es_ES |
dc.description.bibliographicCitation | Zhou, Z.; Alcalá-González, J.; Yepes, V. (2022). Research on Sustainable Development of the Regional Construction Industry Based on Entropy Theory. Sustainability. 14(24):1-23. https://doi.org/10.3390/su142416645 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/su142416645 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 23 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 14 | es_ES |
dc.description.issue | 24 | es_ES |
dc.identifier.eissn | 2071-1050 | es_ES |
dc.relation.pasarela | S\479038 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.subject.ods | 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación | es_ES |