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Testing long-run relationship between agricultural gross domestic product and fruits production: evidence from Pakistan Ciência Rural
Ullah,Arif; Khan,Dilawar; Zheng,Shaofeng.
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...
Tipo: Info:eu-repo/semantics/article Palavras-chave: ARDL model; Johansen approach; Agricultural GDP; Fruits production.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000500202
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Factors influencing the adoption of improved cultivars: a case of peach farmers in Pakistan Ciência Rural
Ullah,Arif; Khan,Dilawar; Zheng,Shaofeng; Ali,Uzair.
ABSTRACT: This study aimed to investigate factors influencing the adoption of improved cultivars (ICs) in peach production in Khyber Pakhtunkhwa province of Pakistan. A total of 270 respondents were randomly selected from the three different cultivated areas of Khyber Pakhtunkhwa, namely, Peshawar, Nowshera and Swat. Binary choice model was used in this study to categorise the ICs of peach farmers into adoption and non-adoption. The study identifies that socio-economic, institutional farm resources, and climatic factors are influencing the adoption of ICs of peach production. Results of the estimated model reveal that farmer’s age, education, household size, membership, cell phone, farm size, extension services and the role of the non-government...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Improved cultivars; Peach; Technology; Agriculture.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018001100200
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