Data/hora: 09/06/2024 17:40:16

Provedor de dados: 	65	
País: 	Brazil	
Título: 	Testing long-run relationship between agricultural gross domestic product and fruits production: evidence from Pakistan	
Autores: 	Ullah,Arif; Khan,Dilawar; Zheng,Shaofeng.	
Data: 	2018-01-01	
Ano: 	2018	
Palavras-chave: 	ARDL model; Johansen approach; Agricultural GDP; Fruits production.	
Resumo: 	ABSTRACT: This paper analyses the long-run relationship between agricultural gross domestic product (GDP) and fruits production of Pakistan’s economy over a period of 1961-2015 by employing Johansen and autoregressive distributed lag (ARDL) modern econometric technique. Three fruits were selected namely mango, apple and peach in this study. Augmented Dickey-Fuller and Phillips-Perron tests were used to check the data stationarity and conclude that the series are integrated of order one. The Johansen approach was applied to check the joint evolution of all the variables for co-integration. The Johansen test suggests that a long-run co-integration exists between agricultural GDP and fruits production. Results of the ARDL model (Bound test) detect the existence of long-run relationship between agricultural GDP and fruits production. The coefficient of the short-run form of ARDL model reveals that all the fruits have a positive impact on agricultural GDP. Moreover, the coefficients of the long-run form of ARDL model have apositive and significant influence on agricultural GDP of Pakistan. These results suggest that a 1% increase in mango, apple and peach production will increase agricultural GDP by 0.06%, 0.03% and 0.03% respectively. Finally, forecast error variance decomposition and impulse response function results depict that mango, apple and peach production significantly contributes to agricultural GDP in the case of Pakistan.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000500202	
Editor: 	Universidade Federal de Santa Maria	
Relação: 	10.1590/0103-8478cr20170854	
Formato: 	text/html	
Fonte: 	Ciência Rural  v.48 n.5 2018	
Fonte: 	info:eu-repo/semantics/openAccess