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Enabling the green total factor productivity of the construction industry with the prospect of digital transformation

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dc.contributor.author Li, Hui es_ES
dc.contributor.author Peng, Xiaqing es_ES
dc.contributor.author Zhang, Jingxiao es_ES
dc.contributor.author Ballesteros-Pérez, Pablo es_ES
dc.contributor.author Philbin, Simon Patrick es_ES
dc.contributor.author Li, Zhaoling es_ES
dc.contributor.author Tang, Xiaoying es_ES
dc.contributor.author Cheng, Jiawei es_ES
dc.date.accessioned 2024-11-21T19:11:03Z
dc.date.available 2024-11-21T19:11:03Z
dc.date.issued 2023-04 es_ES
dc.identifier.issn 1387-585X es_ES
dc.identifier.uri http://hdl.handle.net/10251/212126
dc.description.abstract [EN] This research study adopts 30 provinces, municipalities and autonomous regions in China as the research object in order to explore the green total factor productivity (GTFP) of the construction industry with the prospect of digital transformation. Based on construction industry panel data from 2011 to 2017, the CCR model and PCE model evaluation model are used to measure the GTFP of the construction industry in the context of digital transformation. The results of the research study identify the following: (A) the PCE model was able to differentiate all decision units and complete ranking. (B) The GTFP of the construction industry in East, North, South-Central and Southwest China is relatively high, while that in Northeast and Northwest China is low. Thus, there is room for improvement in Northeast and Northwest China to a certain extent. (C) The higher the optimism of decision makers about the digital transformation of the construction industry is, the higher the GTFP of the construction industry; additionally, when decision makers become increasingly more optimistic about the digital transformation of the construction industry, the GTFP of the construction industry decreases to a certain extent, while when decision makers become increasingly less optimistic about the digital transformation of the construction industry, the GTFP of the construction industry increases to a certain extent. es_ES
dc.description.sponsorship This research is supported by the National Social Science Fund projects (No. 20BJY010); National Social Science Fund Post-financing projects (No. 19FJYB017); Sichuan-tibet Railway Major Fundamental Science Problems Special Fund (No. 71942006); Qinghai Natural Science Foundation (No. 2020-ZJ-736); List of Key Science and Technology Projects in China's Transportation Industry in 2018-International Science and Technology Cooperation Project (No. 2018-GH-006 and No. 2019-MS5-100); Shaanxi Social Science Fund (No. 2017S004); Xi'an Construction Science and Technology Planning Project (No. SZJJ201915 and No. SZJJ201916); Xi'an Science Technology Bureau Fund (No. 201805070?RK1SF4(6)); and Fundamental Research for Funds for the Central Universities (Humanities and Social Sciences), Chang'an University (No. 300102282601). es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Environment, Development and Sustainability es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Digital transformation es_ES
dc.subject Prospect theory es_ES
dc.subject Construction industry es_ES
dc.subject Green total factor productivity (GTFP) es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.title Enabling the green total factor productivity of the construction industry with the prospect of digital transformation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10668-023-03165-5 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSFC//71942006-4/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MOST//2018-GH-006/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MOST//2019-MS5-100/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CHD//300102282601/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Xi'an Science Technology Bureau//SZJJ201915/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Xi'an Science Technology Bureau//SZJJ201916/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Xi'an Science Technology Bureau//201805070RK1SF4/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSSFC//20BJY010/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSSFC//19FJYB017/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSSFC//2017S004/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Natural Science Foundation of Qinghai//2020-ZJ-736/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Li, H.; Peng, X.; Zhang, J.; Ballesteros-Pérez, P.; Philbin, SP.; Li, Z.; Tang, X.... (2023). Enabling the green total factor productivity of the construction industry with the prospect of digital transformation. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-03165-5 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10668-023-03165-5 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\487100 es_ES
dc.contributor.funder Chang'an University es_ES
dc.contributor.funder Xi'an Science Technology Bureau es_ES
dc.contributor.funder National Social Science Fund of China es_ES
dc.contributor.funder Natural Science Foundation of Qinghai es_ES
dc.contributor.funder Ministry of Science and Technology, China es_ES
dc.contributor.funder National Natural Science Foundation of China es_ES
dc.subject.ods 08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos es_ES
dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES
dc.subject.ods 17.- Fortalecer los medios de ejecución y reavivar la alianza mundial para el desarrollo sostenible es_ES


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