Financial inclusion, environmental technology, and sustainable environment in China: evidence from an N-shaped EKC

Financial inclusion (FI) and technological innovation (TI) are pivotal in advancing SDG 13 (Climate Action) by enabling access to sustainable solutions and promoting low-carbon technologies. FI allows marginalized communities and businesses to invest in renewable energy (RE) and energy-efficient technologies, while TI drives the development of clean energy solutions and CO 2 emissions (CO 2 E) reducing innovations. Together, they empower societies to take significant action against climate change, fostering a global transition to a low-carbon economy and helping achieve the targets of SDG 13. Previous studies have focused exclusively on the impact of either FI or TI on CO 2 E in China under the N-shaped Environmental Kuznets Curve (EKC). To address this gap, the current study examines the combined effects of FI and TI on CO 2 E within the EKC framework for the Chinese economy. This study utilizes the Autoregressive Distributed lag (ARDL), fully Modified ordinary least square (FMOLS), and Dynamic ordinary least square (DOLS) methods by using the time series quarterly data from 2006Q1 to 2022Q4. The ARDL long-run and short-run results confirm that there is an inverted N-shaped EKC between GDP and CO 2 E. While FI, TI, and RE have negative effects on CO 2 E. This study has several policy recommendations for policymakers to promote environmental sustainability in China.

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Publication Details

Journal
Frontiers in Environmental Science
Published
2025-05-23
DOI
https://doi.org/10.3389/fenvs.2025.1578559
Citations
5
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
15.66
Controls
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article

Financial inclusion, environmental technology, and sustainable environment in China: evidence from an N-shaped EKC

Ijaz Uddin, Wei Sun, Qiang Li
5 citations
Frontiers in Environmental Science
Energy, Environment, Economic Growth
15.66
article

Financial inclusion, environmental technology, and sustainable environment in China: evidence from an N-shaped EKC

Ijaz Uddin, Wei Sun, Qiang Li
article en
5 citations

Abstract

Financial inclusion (FI) and technological innovation (TI) are pivotal in advancing SDG 13 (Climate Action) by enabling access to sustainable solutions and promoting low-carbon technologies. FI allows marginalized communities and businesses to invest in renewable energy (RE) and energy-efficient technologies, while TI drives the development of clean energy solutions and CO 2 emissions (CO 2 E) reducing innovations. Together, they empower societies to take significant action against climate change, fostering a global transition to a low-carbon economy and helping achieve the targets of SDG 13. Previous studies have focused exclusively on the impact of either FI or TI on CO 2 E in China under the N-shaped Environmental Kuznets Curve (EKC). To address this gap, the current study examines the combined effects of FI and TI on CO 2 E within the EKC framework for the Chinese economy. This study utilizes the Autoregressive Distributed lag (ARDL), fully Modified ordinary least square (FMOLS), and Dynamic ordinary least square (DOLS) methods by using the time series quarterly data from 2006Q1 to 2022Q4. The ARDL long-run and short-run results confirm that there is an inverted N-shaped EKC between GDP and CO 2 E. While FI, TI, and RE have negative effects on CO 2 E. This study has several policy recommendations for policymakers to promote environmental sustainability in China.

Frontiers in Environmental ScienceVol. 13
North China Electric Power University (CN), Abdul Wali Khan University Mardan (PK), Weifang University of Science and Technology (CN), Weifang University (CN), Shandong Institute of Business and Technology (CN)
Openalex Percentile: Top 1%
Energy, Environment, Economic Growth
15.66
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Financial inclusion, environmental technology, and sustainable environment in China: evidence from an N-shaped EKC — Ijaz Uddin, Wei Sun, et al. · Frontiers in Environmental Science (2025) | TGRS Research Map | TGRS