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Environmental Kuznets curve for pollutants emissions in China's textile industry: an empirical investigation

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  • Laili Wang
  • Xuemei Ding
  • Xiongying Wu

Abstract

This study investigates the relationships between pollutants emissions and economic growth in China's textile industry for the period 1992-2007. Four kinds of pollutants emissions (i.e. carbon dioxide emissions, sulphur dioxide emissions, waste gas emissions and wastewater discharges) are focused on. In particular, the study aims at testing whether relationship between pollutants emissions and value-added of industry, as depicted in environmental Kuznets curve, holds in the long run or not. By employing unit root tests and Johansen method of co-integration, the results provide support for a unique and inverted N-shaped relationship between each pollutant emissions and economic growth of China's textile industry. Indeed, there were two turning points for each EKC-pollutant model. The results also indicate that China's textile industry has been making progress on pollutants reduction through structural adjustment and technologies improvement.

Suggested Citation

  • Laili Wang & Xuemei Ding & Xiongying Wu, 2014. "Environmental Kuznets curve for pollutants emissions in China's textile industry: an empirical investigation," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 17(1), pages 14-29.
    • Handle: RePEc:ids:ijetma:v:17:y:2014:i:1:p:14-29
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    Cited by:

    1. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2017. "Residential energy environmental Kuznets curve in the EU-28," Energy, Elsevier, vol. 125(C), pages 44-54.
    2. Yi Li & Yan Luo & Yingzi Wang & Laili Wang & Manhong Shen, 2017. "Decomposing the Decoupling of Water Consumption and Economic Growth in China’s Textile Industry," Sustainability, MDPI, vol. 9(3), pages 1-17, March.

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