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Environmental Degradation and Labor Market Dynamics in China: Evidence from the Environmental Phillips Curve

  • Talal H. Alsabhan
  • , Syed Quaid Ali Shah
  • , Mohammad Jaboob
  • , Maran Marimuthu
  • , Muhammad Tahir*
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

The Environmental Phillips Curve (EPC) has recently been tested for several economies and regions. However, the EPC hypothesis has yet to be tested for the Chinese economy. Accordingly, this research study assesses the EPC hypothesis in China, exploring whether unemployment dynamics influence environmental degradation during China’s transition toward greener economic growth. Utilizing data from 1991–2023, the study employs the ARDL methodology to evaluate the EPC hypothesis in both long and short run dynamics. The ARDL results validate the EPC, revealing a negative and statistically significant association between unemployment and environmental degradation. Granger causality tests further confirmed unidirectional causality from unemployment to environmental degradation. Additionally, the findings affirm the classic inverted U-shaped EKC for China, while highlighting the detrimental influences of traditional energy consumption and trade openness on environmental quality. These insights offer valuable policy guidance, marking this as the pioneering study to rigorously test the EPC hypothesis in China.

Original languageEnglish
JournalChinese Economy
DOIs
StateAccepted/In press - 2026

Bibliographical note

Publisher Copyright:
© 2026 Taylor & Francis Group, LLC.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • ARDL
  • China
  • EPC hypothesis
  • unemployment

ASJC Scopus subject areas

  • General Economics, Econometrics and Finance

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