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How Does Industrial Waste Gas Emission Affect Health Care Expenditure in Different Regions of China: An Application of Bayesian Quantile Regression

Author

Listed:
  • Xiaocang Xu

    (Upper Yangtze river economic research center/School of Economics, Chongqing Technology and Business University, Chongqing 400067, China)

  • Zhiming Xu

    (Department of Business, ESCP Europe Business School, 75011 Paris, France)

  • Linhong Chen

    (School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing 400067, China
    School of Public Administration, Sichuan University, Chengdu 610065, China)

  • Chang Li

    (College of Business Administration, Wonkwang University, Jeonbuk 54538, Korea)

Abstract

Industrial development has brought about not only rapid economic growth, but also serious environmental pollution in China, which has led to serious health problems and heavy economic burdens on healthcare. Therefore, the relationship between the industrial air pollution and health care expenditure (HCE) has attracted the attention of researchers, most of which used the traditional empirical methods, such as ordinary least squares (OLS), logistic and so on. By collecting the panel data of 30 provinces of China during 2005–2016, this paper attempts to use the Bayesian quantile regression (BQR) to reveal the impact of industrial air pollution represented by industrial waste gas emission (IWGE) on HCE in high-, middle-, low-income regions. It was found that double heterogeneity in the influence of IWGE on HCE was obvious, which revealed that people in high-, middle-, low-income regions have significantly different understandings of environmental pollution and health problems. In addition, the BQR method provided more information than the traditional empirical methods, which verified that the BQR method, as a new empirical method for previous studies, was applicable in this topic and expanded the discussion space of this research field.

Suggested Citation

  • Xiaocang Xu & Zhiming Xu & Linhong Chen & Chang Li, 2019. "How Does Industrial Waste Gas Emission Affect Health Care Expenditure in Different Regions of China: An Application of Bayesian Quantile Regression," IJERPH, MDPI, vol. 16(15), pages 1-12, August.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:15:p:2748-:d:253757
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    Cited by:

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    2. Xinpeng Xing & Jianhua Wang & Tiansen Liu & He Liu & Yue Zhu, 2019. "How Energy Consumption and Pollutant Emissions Affect the Disparity of Public Health in Countries with High Fossil Energy Consumption," IJERPH, MDPI, vol. 16(23), pages 1-18, November.
    3. Chong Wang & Wei Lu & Ryuzo Ohno & Zongchao Gu, 2020. "Effect of Wall Texture on Perceptual Spaciousness of Indoor Space," IJERPH, MDPI, vol. 17(11), pages 1-14, June.
    4. Xiuquan Huang & Xiaocang Xu & Qingqing Wang & Lu Zhang & Xin Gao & Linhong Chen, 2019. "Assessment of Agricultural Carbon Emissions and Their Spatiotemporal Changes in China, 1997–2016," IJERPH, MDPI, vol. 16(17), pages 1-15, August.
    5. Linhong Chen & Yue Zhuo & Zhiming Xu & Xiaocang Xu & Xin Gao, 2019. "Is Carbon Dioxide (CO 2 ) Emission an Important Factor Affecting Healthcare Expenditure? Evidence from China, 2005–2016," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    6. Hang Yin & Yixiong Huang & Kuiming Wang, 2021. "How Do Environmental Concerns and Governance Performance Affect Public Environmental Participation: A Case Study of Waste Sorting in Urban China," IJERPH, MDPI, vol. 18(19), pages 1-16, September.
    7. Xiaocang Xu & Xiuquan Huang & Jun Huang & Xin Gao & Linhong Chen, 2019. "Spatial-Temporal Characteristics of Agriculture Green Total Factor Productivity in China, 1998–2016: Based on More Sophisticated Calculations of Carbon Emissions," IJERPH, MDPI, vol. 16(20), pages 1-16, October.

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