Literature DB >> 36266419

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

Ting Ouyang1, Fengtao Liu2, Bingzhang Huang1.   

Abstract

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.
© 2022. The Author(s).

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Year:  2022        PMID: 36266419      PMCID: PMC9585032          DOI: 10.1038/s41598-022-22374-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  1 in total

1.  A Note on Using and Unbiased Weight Matrix in the ADF Test Statistic.

Authors:  W Chan; Y F Yung; P M Bentler
Journal:  Multivariate Behav Res       Date:  1995-10-01       Impact factor: 5.923

  1 in total

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