Analyzing the Environmental Footprint and Its Determinants in China: An Integrated Assessment of the EKC and Pollution Haven Hypotheses

This study provides a comprehensive empirical investigation into the determinants of China's environmental footprint from 1990 to 2023, with a specific focus on testing the Pollution Haven Hypothesis (PHH) and the Environmental Kuznets Curve (EKC) in the context of travel and tourism. Employing the EKC framework, we analyze the dynamic impacts of eco-tourism, economic growth, energy consumption, trade openness, and foreign direct investment on ecological degradation. The methodology involves advanced statistical tests to establish the existence of a long-run equilibrium relationship among the variables. The findings confirm an inverted U-shaped EKC relationship between travel and tourism development and the environmental footprint, indicating that the sector initially exacerbates environmental degradation but, beyond a certain threshold of economic development, contributes to its amelioration. Further results indicate that energy utilization and trade openness significantly intensify the environmental footprint. Crucially, foreign direct investment is found to escalate environmental degradation, thereby providing robust empirical support for the Pollution Haven Hypothesis in the Chinese context. Consequently, this study recommends that policymakers prioritize the transition towards sustainable tourism models, accelerate the diversification of the energy mix towards cleaner sources, and strategically channel foreign direct investment into less polluting service sectors.

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Publication Details

Journal
Journal of Visualized Experiments
Published
2026-01-30
DOI
https://doi.org/10.3791/69911
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
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article

Analyzing the Environmental Footprint and Its Determinants in China: An Integrated Assessment of the EKC and Pollution Haven Hypotheses

Xingyao Zhou, Xiaobing Xu, Siqi Wang, Xingguo Huang et al.
Journal of Visualized Experiments
Energy, Environment, Economic Growth
article

Analyzing the Environmental Footprint and Its Determinants in China: An Integrated Assessment of the EKC and Pollution Haven Hypotheses

Xingyao Zhou, Xiaobing Xu, Siqi Wang, Xingguo Huang, Tianqi Wang
article en

Abstract

This study provides a comprehensive empirical investigation into the determinants of China's environmental footprint from 1990 to 2023, with a specific focus on testing the Pollution Haven Hypothesis (PHH) and the Environmental Kuznets Curve (EKC) in the context of travel and tourism. Employing the EKC framework, we analyze the dynamic impacts of eco-tourism, economic growth, energy consumption, trade openness, and foreign direct investment on ecological degradation. The methodology involves advanced statistical tests to establish the existence of a long-run equilibrium relationship among the variables. The findings confirm an inverted U-shaped EKC relationship between travel and tourism development and the environmental footprint, indicating that the sector initially exacerbates environmental degradation but, beyond a certain threshold of economic development, contributes to its amelioration. Further results indicate that energy utilization and trade openness significantly intensify the environmental footprint. Crucially, foreign direct investment is found to escalate environmental degradation, thereby providing robust empirical support for the Pollution Haven Hypothesis in the Chinese context. Consequently, this study recommends that policymakers prioritize the transition towards sustainable tourism models, accelerate the diversification of the energy mix towards cleaner sources, and strategically channel foreign direct investment into less polluting service sectors.

Journal of Visualized Experiments(227)
King's College London (GB), Yangzhou Polytechnic Institute (CN), King's College School (GB), China National Institute of Standardization (CN), Lanzhou University of Finance and Economics (CN), Renmin University of China (CN)
Decent work and economic growth
Openalex Percentile: Top 77%
Energy, Environment, Economic Growth
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