Government Expenditure and CO₂ Emissions in Pakistan: An Empirical Analysis

Authors

  • Bilawal BS Economics Student, Department of Economics, Institute of Management Science, Peshawar, Khyber Pakhtunkhwa, Pakistan.
  • Adiba Fishan BS Economics Student, Department of Economics, Institute of Management Science, Peshawar, Khyber Pakhtunkhwa, Pakistan.
  • Iftihaj Ali BS Economics Student, Department of Economics, Institute of Management Science, Peshawar, Khyber Pakhtunkhwa, Pakistan.

DOI:

https://doi.org/10.55737/trt/v-v.260

Keywords:

Government Expenditure, CO₂ Emissions, Environmental Quality, ARDL, Energy Use, Trade Openness, Clean Energy, Cointegration

Abstract

The research analyzes short-run and long-run relationship between government expenditure and CO₂ emissions per capita in Pakistan from 1990 to 2020. It uses ARDL Bounds test to check cointegration among CO₂ emissions, government expenditure, GDP per capita, Energy use and Trade openness. All variables are I(1) integration. F-Bound statistics 8.31 exceeds one percent finite sample upper critical bound establishing robust cointegration. Government expenditure (coefficient 0.0542, p-value <0.05) shows that it has positive and significant long-run effect on CO₂ emissions. It means that one percent increase in expenditure to GDP ratio is associated with 5.4 percent(approximately) increase in CO₂ per capita emissions. Energy use per capita is the influential factor among them (elasticity= 2.44, p-value< 0.01). trade openness has small negative and significant effect ( -0.010, p<0.05) and GDP per capita is statistically insignificant. The error correction coefficient -0.603 (p<0.01) indicates that about 60 percent of short run deviation are corrected annually. CUSUM test confirms that parameters are stable. CUSUM sq tells us possible variance instability from around 2015 onwards, which may be the reason of macro fiscal changes due to CPEC period. This is acknowledged as limitation of this research. The findings suggest that environmental criteria should be integrated into Pakistan’s fiscal policy.

Author Biographies

  • Bilawal, BS Economics Student, Department of Economics, Institute of Management Science, Peshawar, Khyber Pakhtunkhwa, Pakistan.

    Corresponding Author: [email protected]

  • Adiba Fishan, BS Economics Student, Department of Economics, Institute of Management Science, Peshawar, Khyber Pakhtunkhwa, Pakistan.

    BS Economics student, Department of Economics, Institute of Management Science, Peshawar

References

Andreoni, J., & Levinson, A. (2001). The simple analytics of the environmental Kuznets curve. Journal of Public Economics, 80(2), 269-286. https://doi.org/10.1016/s0047-2727(00)00110-9

Bai, J., & Perron, P. (2003). Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18(1), 1-22. https://doi.org/10.1002/jae.659

Barra, C., & Zotti, R. (2018). Investigating the non-linearity between national income and environmental pollution: international evidence of Kuznets curve. Environmental Economics and Policy Studies, 20(1), 179–210. https://doi.org/10.1007/s10018-017-0189-2

Di Bucchianico, S., Di Serio, M., Fragetta, M., & Melina, G. (2025). Time-varying impacts of government spending on CO₂ emissions. IMF Working Papers, 2025(132), 1. https://doi.org/10.5089/9798229013772.001

Grossman, G., & Krueger, A. (1991). Environmental impacts of a North American Free Trade Agreement. https://doi.org/10.3386/w3914

Jafri, M. A., Liu, H., Ullah, S., Majeed, M. T., Anwar, S., & Mustafa, S. (2023). Designing a clean environmental framework for Pakistan: Analyzing the nonlinear impact of aggregate demand drivers on CO₂ emissions. Environmental Science and Pollution Research, 30(7), 19292-19303. https://doi.org/10.1007/s11356-022-23483-x

Le, H. P., & Ozturk, I. (2020). The impacts of globalization, financial development, government expenditures, and institutional quality on CO₂ emissions in the presence of environmental Kuznets curve. Environmental Science and Pollution Research, 27(18), 22680-22697. https://doi.org/10.1007/s11356-020-08812-2

Li, X., Liu, Z., & Ali, T. (2024). Energy–economy–Carbon emissions: Impacts of energy infrastructure investments in Pakistan under the China–Pakistan economic corridor. Sustainability, 16(23), 10191. https://doi.org/10.3390/su162310191

Narayan, P. K. (2005). The saving and investment nexus for China: Evidence from cointegration tests. Applied Economics, 37(17), 1979-1990. https://doi.org/10.1080/00036840500278103

Nguyen, T. P., & Duong, T. T. (2025). Asymmetric effects of fiscal policy and foreign direct investment inflows on CO₂ emissions—An application of nonlinear ARDL. Sustainability, 17(6), 2503. https://doi.org/10.3390/su17062503

Oh, J. (2023). The effects of local government expenditures on carbon dioxide emissions: Evidence from Republic of Korea. Sustainability, 15, 14913. https://doi.org/10.3390/su152014913

Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. https://doi.org/10.1002/jae.616

Tshiaba, S. M., & Liao, G. (2025). An expanded STIRPAT model analysis of China’s carbon neutrality pathways. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-29341-3

Waheed, A., Khan, M. I., & Fischer, T. B. (2025). Assessing environmental policy coherence in Pakistan: Implications for the sustainability of Belt and Road initiative's China-Pakistan economic corridor plan (2017-2030). Journal of Environmental Policy & Planning, 27(5), 573-598. https://doi.org/10.1080/1523908x.2025.2490265

World Bank. (2024). World Development Indicators [Dataset]. https://databank.worldbank.org

Zivot, E., & Andrews, D. W. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251-270. https://doi.org/10.1080/07350015.1992.10509904

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Published

2026-05-30

How to Cite

Bilawal, Fishan, A., & Ali, I. (2026). Government Expenditure and CO₂ Emissions in Pakistan: An Empirical Analysis. The Regional Tribune, 5(5), 236-247. https://doi.org/10.55737/trt/v-v.260