Proceedings of the 2016 International Forum on Management, Education and Information Technology Application 2016
DOI: 10.2991/ifmeita-16.2016.11
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of the development level of construction industry based on factor analysis in Sichuan province, China

Abstract: Abstract. To understand the development level status of construction industry in Sichuan province, China, this study selected 11 economical indicators of construction industry to evaluate the development level of construction industry in 21 cities (prefectures) of Sichuan province by using factors analysis. The results show that 11 economic indicators can be induced to 2 comprehensive factors (i.e., scale factor and efficiency factor). The development level status of construction industry of 21 cities (prefect… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 2 publications
(2 reference statements)
0
1
0
Order By: Relevance
“…We think that the reasons for the differences between sectors may be related to population, energy structure, and energy efficiency (29,90). In addition, the level of industry development may also be the main reason for the difference, and scholars usually use economic and social indicators for comprehensive measurement (91)(92)(93). Some studies have shown economic development and carbon emissions are linked through the Environmental Kuznets Curve (EKC) 1 mechanism (94)(95)(96).…”
Section: Discussionmentioning
confidence: 99%
“…We think that the reasons for the differences between sectors may be related to population, energy structure, and energy efficiency (29,90). In addition, the level of industry development may also be the main reason for the difference, and scholars usually use economic and social indicators for comprehensive measurement (91)(92)(93). Some studies have shown economic development and carbon emissions are linked through the Environmental Kuznets Curve (EKC) 1 mechanism (94)(95)(96).…”
Section: Discussionmentioning
confidence: 99%