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.

Authors

1-Mehmood Kakar
PhD Scholar, Department of economics, Federal Urdu University, Islamabad, Pakistan.

2-Adiqa Kiani
Associate professor, Department of economics, Federal Urdu University, Islamabad, Pakistan.

3-Asia Baig
Demonstrator,Department of Economics, Abdul Wali Khan University, Mardan, KP, Pakistan.

Keywords

Agriculture, Productivity, ARDL

DOI Number

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

Page Nos

1-12

Volume

I

Issue

I