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Int J Environ Res Public Health. 2018 Sep 18;15(9). pii: E2046. doi: 10.3390/ijerph15092046.

Air Pollutant and Health-Efficiency Evaluation Based on a Dynamic Network Data Envelopment Analysis.

Author information

1
West China School of Public Health, Sichuan University, Wangjiang Road No. 29, Chengdu 610064, China. scdxzhangtao@163.com.
2
Department of Economics, Soochow University, 56, Kueiyang St., Sec. 1, Taipei 100, Taiwan. echiu@scu.edu.tw.
3
Business School, Sichuan University, Wangjiang Road No. 29, Chengdu 610064, China. liyinggs@scu.edu.cn.
4
Department of Economics, Soochow University, 56, Kueiyang St., Sec. 1, Taipei 100, Taiwan. eickyla@gmail.com.

Abstract

Environmental pollution and the associated societal health issues have attracted recent research attention. While most research has focused on the effect of air pollution on human health and local economies, few articles have discussed the environment, health, and economic development in in an integrated analysis. This paper used a Dynamic Network SBM Model to evaluate production and health efficiencies in Chinese cities and found that the production efficiency scores were slightly higher than the health efficiency scores, with the two-stage efficiency scores in most cities having significant fluctuations. Labor, fixed assets, energy, GDP, and lung disease and mortality reduction efficiencies in the first stage were generally high; however, the medical input efficiencies in the second stage were low, indicating that there was there significant room for improvement in many cities.

KEYWORDS:

Dynamic Network SBM (DNSBM) Model; air pollutant emissions; efficiency; health expenditure

PMID:
30231588
PMCID:
PMC6163775
DOI:
10.3390/ijerph15092046
[Indexed for MEDLINE]
Free PMC Article

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