The hidden costs of inflation: A critical analysis of industrial development and environmental consequences

The study draws attention to the associations between monetary and economic elements and their potential environmental impacts. The study uses time series data from 1960 to 2022 to examine the connection between CO2 emissions, industrial growth, GNE, and inflation in China. The researchers utilized the well-known econometric technique of nonlinear autoregressive distributed lag (NARDL) to examine nonlinear correlations between these variables. The results reveal that GDP, inflation, and economic development influence long-term CO2 emissions. The strong positive correlation between gross national expenditures and economic activity increases CO2 emissions. In the short run, CO2 emissions are positively and statistically significantly affected by inflation. While inflation temporarily affects CO2 emissions, this effect dissipates with time. Industrial activity increases CO2 emissions, and China's fast industrialization has damaged the environment. The energy-intensive fertiliser manufacturing process and fossil fuels increase CO2 emissions. The research shows how government officials and academics may collaborate to create tailored measures to alleviate the environmental impacts of economic activity.

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Publication Details

Journal
PLoS ONE
Published
2024-08-05
DOI
https://doi.org/10.1371/journal.pone.0297413
Citations
5
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
5.65

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The hidden costs of inflation: A critical analysis of industrial development and environmental consequences

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5 citations
PLoS ONE
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The hidden costs of inflation: A critical analysis of industrial development and environmental consequences

Liaqat Ali Waseem, Muneeb Ahmad, Dan Zheng, Abdullah Addas, Syed Ali Asad Naqvi, Kashif Sharif
article en
5 citations

Abstract

The study draws attention to the associations between monetary and economic elements and their potential environmental impacts. The study uses time series data from 1960 to 2022 to examine the connection between CO2 emissions, industrial growth, GNE, and inflation in China. The researchers utilized the well-known econometric technique of nonlinear autoregressive distributed lag (NARDL) to examine nonlinear correlations between these variables. The results reveal that GDP, inflation, and economic development influence long-term CO2 emissions. The strong positive correlation between gross national expenditures and economic activity increases CO2 emissions. In the short run, CO2 emissions are positively and statistically significantly affected by inflation. While inflation temporarily affects CO2 emissions, this effect dissipates with time. Industrial activity increases CO2 emissions, and China's fast industrialization has damaged the environment. The energy-intensive fertiliser manufacturing process and fossil fuels increase CO2 emissions. The research shows how government officials and academics may collaborate to create tailored measures to alleviate the environmental impacts of economic activity.

PLoS ONEVol. 19(8)
Prince Sattam Bin Abdulaziz University (SA), King Abdulaziz University (SA), Government College University, Faisalabad (PK), Riphah International University (PK), Southwestern University of Finance and Economics (CN), University of Agriculture Faisalabad (PK)
Prince Sattam bin Abdulaziz University
Decent work and economic growth
Openalex Percentile: Top 4%
Climate Change Policy and Economics
5.65
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