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The Role of Affordability on the Adoption of Residential Point-of-Use Drinking Water Filtering Systems in China

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  • Junya Wu

    (Institute of Environmental and Natural Resources Law, School of Law, Hohai University, No. 8 Focheng Road, Jiangning District, Nanjing 211100, China)

Abstract

Access to clean drinking water is fundamental to human health, but a significant portion of China’s population lacks this essential resource due to low water quality. Point-of-use (POU) water filtering systems, offering ease of installation and maintenance, have emerged as a viable solution for providing clean drinking water in China. However, despite their advantages, the adoption rate remains below 20%. This study investigates whether and how price affordability affects the adoption of residential POU water filtering systems in China. In doing so, we conduct a quantitative analysis of the national POU water filtering systems sales and household income data from 2007 to 2022 in China. Our results show that the ratio of the initial purchase price to per capita disposable income and the adoption rate of POU systems in China are strongly positively correlated. Our findings shed light on potential pathways to facilitating their wider adoption, not only in China but also in other emerging countries.

Suggested Citation

  • Junya Wu, 2024. "The Role of Affordability on the Adoption of Residential Point-of-Use Drinking Water Filtering Systems in China," Sustainability, MDPI, vol. 16(2), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:623-:d:1316879
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    References listed on IDEAS

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    1. Bong‐Soo Lee & Jiangang Peng & Guanzheng Li & Jing He, 2012. "Regional Economic Disparity, Financial Disparity, and National Economic Growth: Evidence from China," Review of Development Economics, Wiley Blackwell, vol. 16(2), pages 342-358, May.
    2. Charles J. Kowalski, 1972. "On the Effects of Non‐Normality on the Distribution of the Sample Product‐Moment Correlation Coefficient," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 21(1), pages 1-12, March.
    3. Xiaotong Wen & Feiyu Chen & Yixiang Lin & Hui Zhu & Fang Yuan & Duyi Kuang & Zhihui Jia & Zhaokang Yuan, 2020. "Microbial Indicators and Their Use for Monitoring Drinking Water Quality—A Review," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
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