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

被引:0
|
作者
Ting Ouyang
Fengtao Liu
Bingzhang Huang
机构
[1] Liuzhou Institute of Technology,
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 50 条
  • [21] ECONOMETRIC ANALYSIS AND ASSESSMENT OF FACTORS AFFECTING THE EFFICIENCY OF AGRICULTURAL PRODUCTION
    Amrahov, Vahid
    Mahmudov, Elmir
    Aliyev, Sabit
    Hajiyeva, Sabina
    [J]. SCIENTIFIC PAPERS-SERIES MANAGEMENT ECONOMIC ENGINEERING IN AGRICULTURE AND RURAL DEVELOPMENT, 2022, 22 (03) : 23 - 34
  • [22] Econometric Analysis and Policy Suggestions on the Influencing Factors of Vegetable Industry Development in Maoming
    Xu, Yanli
    Liu, Yihui
    [J]. 2019 5TH INTERNATIONAL CONFERENCE ON GREEN MATERIALS AND ENVIRONMENTAL ENGINEERING, 2020, 453
  • [23] Eco-Province Construction Performance and Its Influencing Factors of Shandong Province in China: From Regional Eco-Efficiency Perspective
    Jiang, Zhengju
    Guo, Fuyou
    Cai, Liping
    Li, Xiaoxiao
    [J]. SUSTAINABILITY, 2021, 13 (21)
  • [24] Dynamic analysis of agricultural green development efficiency in China: Spatiotemporal evolution and influencing factors
    Yiping Liu
    Chengpeng Lu
    Xingpeng Chen
    [J]. Journal of Arid Land, 2023, 15 : 127 - 144
  • [25] Dynamic analysis of agricultural green development efficiency in China: Spatiotemporal evolution and influencing factors
    LIU Yiping
    LU Chengpeng
    CHEN Xingpeng
    [J]. Journal of Arid Land, 2023, 15 (02) : 127 - 144
  • [26] Dynamic analysis of agricultural green development efficiency in China: Spatiotemporal evolution and influencing factors
    Liu, Yiping
    Lu, Chengpeng
    Chen, Xingpeng
    [J]. JOURNAL OF ARID LAND, 2023, 15 (02) : 127 - 144
  • [27] Multiple Regression Analysis on the Influencing Factors of Guilin Tourism Income, Guangxi ,China
    Song Yingnan
    Wang Jinye
    [J]. 2011 INTERNATIONAL CONFERENCE ON SOCIAL SCIENCES AND SOCIETY (ICSSS 2011), VOL 1, 2011, : 38 - 44
  • [28] Measuring convergence in the sugarcane industry in China's Guangxi province
    Zeng, Fangfang
    [J]. PLOS ONE, 2021, 16 (02):
  • [29] Spatiotemporal Evolution and Influencing Factors of Soybean Production in Heilongjiang Province, China
    Wang, Tianli
    Ma, Yanji
    Luo, Siqi
    [J]. LAND, 2023, 12 (12)
  • [30] Analysis of the Influencing Factors on China's Pharamaceutical Industry
    Xia Fang
    Tian Tian
    Zhang Rui-jie
    Nie Hai-yang
    [J]. 2016 23RD ANNUAL INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS. I AND II, 2016, : 977 - 982