Climate Change and Agricultural Resilience: Assessing the impact of CO2 Emissions, Renewable Energy, Irrigation Infrastructure on Pakistan's Agricultural Productivity

This study examines the relationship between agricultural resilience and climate change in Pakistan, focusing on the roles of CO₂ emissions, renewable energy consumption, government expenditure on agriculture, and irrigation infrastructure in shaping agricultural productivity. Utilizing quarterly data spanning from 2004Q1 to 2023Q4, the analysis employs a dynamic econometric approach, incorporating unit root testing, Johansen cointegration, and robust least squares regression to assess both short-run dynamics and long-run equilibrium relationships. Empirical findings indicate that renewable energy consumption exerts a positive and marginally significant effect on agricultural value added, suggesting its potential in enhancing productivity through reduced reliance on fossil fuels and improved access to sustainable energy sources. Conversely, government spending on irrigation and farm infrastructure demonstrates a statistically significant negative impact on agricultural output, pointing to possible inefficiencies in public expenditure and transitional disruptions during infrastructure implementation. CO₂ emissions exhibit a negative but statistically insignificant association with agricultural performance, implying that their influence may be indirect, mediated by other variables, or observable only over extended time horizons. Diagnostic tests confirm the presence of long-run cointegration among the variables and generally support the adequacy of the estimated model, despite minor specification concerns. The results underscore the critical importance of effective governance, strategic investment in renewable energy, and the efficient allocation of public resources to enhance the adaptability and sustainability of Pakistan’s agricultural sector in the face of climate change.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.15561119
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Climate Change and Agricultural Resilience: Assessing the impact of CO2 Emissions, Renewable Energy, Irrigation Infrastructure on Pakistan's Agricultural Productivity

Zenodo (CERN European Organization for Nuclear Research)
Energy, Environment, Economic Growth
article

Climate Change and Agricultural Resilience: Assessing the impact of CO2 Emissions, Renewable Energy, Irrigation Infrastructure on Pakistan's Agricultural Productivity

article en

Abstract

This study examines the relationship between agricultural resilience and climate change in Pakistan, focusing on the roles of CO₂ emissions, renewable energy consumption, government expenditure on agriculture, and irrigation infrastructure in shaping agricultural productivity. Utilizing quarterly data spanning from 2004Q1 to 2023Q4, the analysis employs a dynamic econometric approach, incorporating unit root testing, Johansen cointegration, and robust least squares regression to assess both short-run dynamics and long-run equilibrium relationships. Empirical findings indicate that renewable energy consumption exerts a positive and marginally significant effect on agricultural value added, suggesting its potential in enhancing productivity through reduced reliance on fossil fuels and improved access to sustainable energy sources. Conversely, government spending on irrigation and farm infrastructure demonstrates a statistically significant negative impact on agricultural output, pointing to possible inefficiencies in public expenditure and transitional disruptions during infrastructure implementation. CO₂ emissions exhibit a negative but statistically insignificant association with agricultural performance, implying that their influence may be indirect, mediated by other variables, or observable only over extended time horizons. Diagnostic tests confirm the presence of long-run cointegration among the variables and generally support the adequacy of the estimated model, despite minor specification concerns. The results underscore the critical importance of effective governance, strategic investment in renewable energy, and the efficient allocation of public resources to enhance the adaptability and sustainability of Pakistan’s agricultural sector in the face of climate change.

Zenodo (CERN European Organization for Nuclear Research)
Pir Mehr Ali Shah Arid Agriculture University (PK), University of Haripur (PK)
Openalex Percentile: Top 51%
Energy, Environment, Economic Growth
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.