Determinants of Agricultural Productivity: Empirical Evidence from Pakistan9apos9s Economy

Mehmood Kakar, Adiqa Kiani and Asia Baig
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Mehmood Kakar: PhD Scholar,
Adiqa Kiani: Associate professor,
Asia Baig: Demonstrator,

Global Economics Review, 2016, vol. 1, issue 1, 1-12

Abstract: This article examines the determinants of the total productivity of the agriculture sector which enhances the total agricultural productivity in Pakistan and analyzes the relations among variables used for the analysis from 1990 - 2017. The application of the auto regressive distributed lag technique ARDL was used to approximate various determinants. The area under cultivation, fertilizer consumption, agriculture credit, and rainfall show a positive effect on agriculture productivity, whereas agriculture employment and pesticide consumption show a positive but statistically insignificant effect on agricultural productivity in the long run. While in the short-run all determinants have a positive and significant effect on total agriculture productivity convergence towards equilibrium is shown by error correction term is 0.829.

Keywords: Agriculture; Productivity; ARDL (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:aaw:journl:v:1:y:2016:i:1:p:1-12

DOI: 10.31703/ger.2016(I-I).01

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