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中国广西建筑业生产效率影响因素的动态计量经济学分析。

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

机构信息

Liuzhou Institute of Technology, Liuzhou, 545616, Guangxi, China.

出版信息

Sci Rep. 2022 Oct 20;12(1):17509. doi: 10.1038/s41598-022-22374-y.

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.

摘要

中国的建筑业在中国的城市化进程中扮演了重要的角色,改善了中国的城市景观和国家生产生活设施水平,但中国一些地区的建筑业生产力仍处于相对较低的水平。以中国西南部广西壮族自治区的建筑业为例,本文分析了影响区域建筑业全要素生产率水平的相关指标,并运用动态测量方法构建了指标之间的统计关系,得出:(1)从业人员数量、企业数量、劳动生产率和建筑利润率对广西建筑业全要素生产率有正向影响,但区域建筑业总产值的提高并没有带动技术装备率的提高;(2)广西建筑业全要素生产率的投入产出指标之间存在动态均衡关系,产出指标对投入指标的正向驱动作用不明显;投入指标对产出指标的影响更大,正向影响更显著。据此,本文还提出了相应的建议,以促进广西建筑业的技术生产水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff5d/9585032/a3751fcc68d1/41598_2022_22374_Fig1_HTML.jpg

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