Sustainable Urbanisation and the Role of Industrial Development in Modifying Environmental Change

This study examines the relationships among renewable energy, urbanisation, foreign direct investment (FDI), urban land area, trade openness, and CO₂ emissions in India and China, using data covering 1995–2024. The autoregressive distributed lag (ARDL) and nonlinear autoregressive distributed lag (NARDL) models are employed to estimate short- and long-run effects. The results indicate that the linear estimates of urbanisation have a statistically significant negative effect in China in the short run, whereas the nonlinear coefficient estimates show a positive effect on CO₂ emissions in India. FDI and renewable energy are reported to benefit both countries in the short run. The estimated coefficients for trade openness indicate a statistically significant negative relationship with CO₂ emissions in both countries. The results also suggest that positive nonlinear shocks to urbanisation in China and increases in urban land area have significant negative effects on CO₂ emissions in India and China. The study recommends that regional policymakers create an environment conducive to environmentally responsible businesses through supportive legislation and financial incentives.

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Publication Details

Journal
Data plus.
Published
2026-11-04
DOI
https://doi.org/10.62887/dataplus.004.02.00143
Primary Topic
Energy, Environment, Economic Growth
Type
article
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article

Sustainable Urbanisation and the Role of Industrial Development in Modifying Environmental Change

Sheng Yi, Touseef Mehmood, Hassaan T. Chohan
Data plus.
Energy, Environment, Economic Growth
article

Sustainable Urbanisation and the Role of Industrial Development in Modifying Environmental Change

Sheng Yi, Touseef Mehmood, Hassaan T. Chohan
article en

Abstract

This study examines the relationships among renewable energy, urbanisation, foreign direct investment (FDI), urban land area, trade openness, and CO₂ emissions in India and China, using data covering 1995–2024. The autoregressive distributed lag (ARDL) and nonlinear autoregressive distributed lag (NARDL) models are employed to estimate short- and long-run effects. The results indicate that the linear estimates of urbanisation have a statistically significant negative effect in China in the short run, whereas the nonlinear coefficient estimates show a positive effect on CO₂ emissions in India. FDI and renewable energy are reported to benefit both countries in the short run. The estimated coefficients for trade openness indicate a statistically significant negative relationship with CO₂ emissions in both countries. The results also suggest that positive nonlinear shocks to urbanisation in China and increases in urban land area have significant negative effects on CO₂ emissions in India and China. The study recommends that regional policymakers create an environment conducive to environmentally responsible businesses through supportive legislation and financial incentives.

Data plus.Vol. 4(2)
International Islamic University, Islamabad (PK), Government of Pakistan (PK), Thuongmai University (VN)
Openalex Percentile: Top 11%
Energy, Environment, Economic Growth
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Sustainable Urbanisation and the Role of Industrial Development in Modifying Environmental Change — Sheng Yi, Touseef Mehmood, et al. · Data plus. (2026) | TGRS Research Map | TGRS