Affiliations 

  • 1 School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, People's Republic of China
  • 2 School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, People's Republic of China. [email protected]
  • 3 Department of Economics, University of the Central Punjab, Lahore, Pakistan
  • 4 Schools of Economics, Finance, and Banking, Universiti Utara Malaysia UUM, 06010, Sintok, Kedah, Malaysia
  • 5 Lecturer in Department of Economics & Business Administration, University of Education Lahore, Multan Campus, Multan, Pakistan
PMID: 34797543 DOI: 10.1007/s11356-021-17438-x

Abstract

This study explores the impact of fiscal policy on environmental pollution, employing the vector autoregressive (VAR) model on annual data from 1976 to 2018 in Pakistan. We estimate the effect of total expenditure, total revenue, education expenditures, health expenditures, and other dynamic determinants such as gross domestic product (GDP), private investment, market rate, and crude oil price on carbon dioxide (CO2) emissions in particular. Further, this study creates impulse response functions to check the fiscal shocks, coordinating with five scenarios of public expenditures, segregated into government revenue, and education and health expenditures. The outcomes indicate that government spending in the public sectors (education and health) had a diminishing effect on CO2 emissions, whereas government revenue that was collected from taxes improved economic growth but at a cost of environmental pollution. In Pakistan, a fiscal policy scenario has been implemented that increases government expenditures to alleviate the effects of CO2 emissions. Therefore, policymakers should provide the right direction for the feasible distribution of resources in every public sector through a powerful structure, which will ultimately reduce the overall level of environmental deficit.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.