2020
DOI: 10.1177/0020720920928459
|View full text |Cite|
|
Sign up to set email alerts
|

RETRACTED: Panel vector autoregression model to study the dynamic relationship between meteorological S&T and the economic development of meteorologically sensitive industries in China

Abstract: Based on the data of 31 provinces in China from 2007 to 2017, this paper adopts the panel vector autoregression model to study the dynamic relationship between meteorological science and technology capabilities and the economic development of meteorologically sensitive industries. Research results suggest that the effect of meteorological S&T on the economic development of sensitive industries related to meteorology is not remarkable, but the later plays a positive role in promoting the former. This means … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 4 publications
0
2
0
Order By: Relevance
“…Khan et al, 2020; Kuang et al, 2020). (3) Lag selection: The optimal lag period is selected to construct the PVAR model (Carrasco-Gutierrez et al, 2009; Shen & Li, 2023). This step helps determine the appropriate time frame to capture the dynamics of the variables.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Khan et al, 2020; Kuang et al, 2020). (3) Lag selection: The optimal lag period is selected to construct the PVAR model (Carrasco-Gutierrez et al, 2009; Shen & Li, 2023). This step helps determine the appropriate time frame to capture the dynamics of the variables.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In view of the above advantages of PVAR model, it is often used to recognize the complex relationship among multiple systems (e.g. Shen & Li, 2020;Berdiev & Saunoris, 2016). This paper mainly uses the PVAR model to further reveal the interaction between EcS, SS and EnS within the EE system, so as to design a series of comprehensive EE promotion policies.…”
Section: Panel Vector Autoregression (Pvar) Model and Its Applicationsmentioning
confidence: 99%