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Dynamic econometric analysis on influencing factors of production efficiency in construction industry of Guangxi province in China

China's construction industry has assumed an important role in China's urbanization process, improving China's urban landscape and the level of national production and living facilities, but the productivity of the construction industry in some regions of China is still at a relativel...

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Autores principales: Ouyang, Ting, Liu, Fengtao, Huang, Bingzhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585032/
https://www.ncbi.nlm.nih.gov/pubmed/36266419
http://dx.doi.org/10.1038/s41598-022-22374-y
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author Ouyang, Ting
Liu, Fengtao
Huang, Bingzhang
author_facet Ouyang, Ting
Liu, Fengtao
Huang, Bingzhang
author_sort Ouyang, Ting
collection PubMed
description China's construction industry has assumed an important role in China's urbanization process, improving China's urban landscape and the level of national production and living facilities, but the productivity of the construction industry in some regions of China is still at a relatively low level. Taking the construction industry in Guangxi province in southwest China as an example, this paper analyzes the relevant indexes affecting the total factor productivity level of the regional construction industry and composes the statistical relationships among the indexes using dynamic measurement methods, and obtains that: (1) The number of employees, enterprises, labor productivity and construction profit have positive influence on the total factor productivity of Guangxi construction industry, but the improvement of regional construction gross product does not drive the improvement of technical equipment rate; (2) There is a dynamic equilibrium relationship between input and output indicators of total factor productivity of Guangxi construction industry, and the positive driving effect of output indicators on input indicators is not obvious; the influence of input indicators on output indicators is greater, and the positive influence is more. Accordingly, this paper also puts forward corresponding suggestions to promote the technical production level of Guangxi's construction industry.
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spelling pubmed-95850322022-10-22 Dynamic econometric analysis on influencing factors of production efficiency in construction industry of Guangxi province in China Ouyang, Ting Liu, Fengtao Huang, Bingzhang Sci Rep Article China's construction industry has assumed an important role in China's urbanization process, improving China's urban landscape and the level of national production and living facilities, but the productivity of the construction industry in some regions of China is still at a relatively low level. Taking the construction industry in Guangxi province in southwest China as an example, this paper analyzes the relevant indexes affecting the total factor productivity level of the regional construction industry and composes the statistical relationships among the indexes using dynamic measurement methods, and obtains that: (1) The number of employees, enterprises, labor productivity and construction profit have positive influence on the total factor productivity of Guangxi construction industry, but the improvement of regional construction gross product does not drive the improvement of technical equipment rate; (2) There is a dynamic equilibrium relationship between input and output indicators of total factor productivity of Guangxi construction industry, and the positive driving effect of output indicators on input indicators is not obvious; the influence of input indicators on output indicators is greater, and the positive influence is more. Accordingly, this paper also puts forward corresponding suggestions to promote the technical production level of Guangxi's construction industry. Nature Publishing Group UK 2022-10-20 /pmc/articles/PMC9585032/ /pubmed/36266419 http://dx.doi.org/10.1038/s41598-022-22374-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ouyang, Ting
Liu, Fengtao
Huang, Bingzhang
Dynamic econometric analysis on influencing factors of production efficiency in construction industry of Guangxi province in China
title Dynamic econometric analysis on influencing factors of production efficiency in construction industry of Guangxi province in China
title_full Dynamic econometric analysis on influencing factors of production efficiency in construction industry of Guangxi province in China
title_fullStr Dynamic econometric analysis on influencing factors of production efficiency in construction industry of Guangxi province in China
title_full_unstemmed Dynamic econometric analysis on influencing factors of production efficiency in construction industry of Guangxi province in China
title_short Dynamic econometric analysis on influencing factors of production efficiency in construction industry of Guangxi province in China
title_sort dynamic econometric analysis on influencing factors of production efficiency in construction industry of guangxi province in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585032/
https://www.ncbi.nlm.nih.gov/pubmed/36266419
http://dx.doi.org/10.1038/s41598-022-22374-y
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