Testing the neutrality of money, labor, and capital in Pakistan's agriculture sector

This study investigates the neutrality of money in Pakistan's agriculture sector by analyzing semi-annual data from 1991S1 to 2019S2. We employ the impulse response function, variance decomposition, Johansen cointegration, VECM, and the Granger causality test. The Johansen cointegration approach demonstrates a continuous relationship between the variables over time. The Granger causality test indicates no short-term causal relationship between agricultural productivity and the broad money supply. On the other hand, agricultural production has a short-term causal relationship with inflation and capital. Long-term outcomes corroborate the empirical findings of the cointegration test, suggesting the existence of a cointegration connection. The impulse-response and variance decomposition tests indicate that the broad money supply has a statistically significant positive effect on short- and long-term agricultural productivity. On the other hand, inflation has both short-term and long-term detrimental effects on agricultural productivity. Meanwhile, short-term and long-term labor and capital shocks symmetrically affect agricultural productivity. Consequently, our results refute the long-term money neutrality hypothesis. The results of this paper will assist policymakers and researchers in gaining a more comprehensive understanding of the impact of inflation, labor, capital, and the broad money supply on Pakistan's emerging economy.

Authors

Institutions

Publication Details

Journal
Asian Journal of Economics and Empirical Research
Published
2024-12-31
DOI
https://doi.org/10.20448/ajeer.v11i2.6311
Primary Topic
Economic Theory and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing the neutrality of money, labor, and capital in Pakistan's agriculture sector

Waqar Younas, Waleed Mulk, Shakil Ahmad, Syed Muhammad Sinaan Ali
Asian Journal of Economics and Empirical Research
Economic Theory and Policy
article

Testing the neutrality of money, labor, and capital in Pakistan's agriculture sector

Waqar Younas, Waleed Mulk, Shakil Ahmad, Syed Muhammad Sinaan Ali
article en

Abstract

This study investigates the neutrality of money in Pakistan's agriculture sector by analyzing semi-annual data from 1991S1 to 2019S2. We employ the impulse response function, variance decomposition, Johansen cointegration, VECM, and the Granger causality test. The Johansen cointegration approach demonstrates a continuous relationship between the variables over time. The Granger causality test indicates no short-term causal relationship between agricultural productivity and the broad money supply. On the other hand, agricultural production has a short-term causal relationship with inflation and capital. Long-term outcomes corroborate the empirical findings of the cointegration test, suggesting the existence of a cointegration connection. The impulse-response and variance decomposition tests indicate that the broad money supply has a statistically significant positive effect on short- and long-term agricultural productivity. On the other hand, inflation has both short-term and long-term detrimental effects on agricultural productivity. Meanwhile, short-term and long-term labor and capital shocks symmetrically affect agricultural productivity. Consequently, our results refute the long-term money neutrality hypothesis. The results of this paper will assist policymakers and researchers in gaining a more comprehensive understanding of the impact of inflation, labor, capital, and the broad money supply on Pakistan's emerging economy.

Asian Journal of Economics and Empirical ResearchVol. 11(2)
University of International Business and Economics (CN), Pakistan Institute of Development Economics (PK), Government of Khyber Pakhtunkhwa (PK)
Openalex Percentile: Top 53%
Economic Theory and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.