AGRICULTURE EXPORT STIMULANT TO THE ECONOMIC AND FINANCIAL PERFORMANCE OF PAK

Abstract

Purpose: The study examines how agricultural exports boost the economic growth of Pakistan in the long run and suggest policy implications during 1995-2018 using time series data. Methodology: Principal Component Analysis is used to construct an agricultural export index consisting of rice, raw cotton, fruits, and vegetables as variables. This quantitative study checked the structural stability of the model with cumulative-sum & cumulative-sum of the square. Rolling window analysis highlights the long-run yearly effect of the coefficient of the model. The result of variance decomposition method proof bidirectional causality where robust result proof using Fully modified ordinary least square and Dynamic ordinary least square techniques. Unit root at first difference proof stationery whereas cointegration has a long-run relationship between agricultural export and economic growth. Main Finding: The statistical estimation proofs the positive long-run association of agricultural exports with economic growth. Results explored a 26 percent increase in the economy of Pakistan by exporting agricultural goods. Application of this Study: This study helps to develop the economies if they face problems of low agricultural productivity. The agricultural export is sensitive to domestic indicators, and domestic policy can promote agricultural export, and create new potential markets. The originality of the Study: The study is suggested the agriculture techniques and their performance in developing economies.