4.5 Article

Energy consumption, air pollution, and public health in China: based on the Two-Stage Dynamic Undesirable DEA model

Journal

AIR QUALITY ATMOSPHERE AND HEALTH
Volume 14, Issue 9, Pages 1349-1364

Publisher

SPRINGER
DOI: 10.1007/s11869-021-01025-7

Keywords

Energy efficiency; Pollution efficiency; Health efficiency; Two-Stage Dynamic Undesirable DEA model

Funding

  1. National Natural Science Found Projects of China [71673196]
  2. New Century Excellent Talents Support Plan for Universities in Fujian Province, Innovation Strategy Research Project of Fujian Province [2020R0140]

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This study constructed a Two-Stage Dynamic Undesirable DEA model, integrating energy consumption, air pollution, and public health in the same framework to address the gaps in existing literature. Findings indicate significant variations in efficiency values of variables across different regions, with coal efficiency showing a fluctuating downward trend.
The rapid development of China's economy has largely relied on energy consumption, which has caused serious air pollution and affected public health, and economic development, energy consumption, air pollution, and public health have nowadays become the focus of academic attention. However, the previous literature failed to consider undesirable output when constructing the Dynamic Network DEA model to study the efficiencies of energy consumption, air pollution, and public health. As a result, past studies did not employ those three issues in a structure to effectively reflect and solve the problems. Therefore, this paper constructs the Two-Stage Dynamic Undesirable DEA model and puts energy consumption, air pollution, and public health into the same framework in order to fill the gap in the literature. Findings show that the production consumption efficiency stage is better than the health protection stage, and that the efficiency values of variables vary significantly in different regions. The efficiency of tumor and tuberculosis is the lowest, with oil consumption and birthrate efficiencies are the best, followed by coal, nitrogen oxide (NOx), and dust efficiencies. Coal efficiency exhibits a fluctuating downward trend, whereas the efficiencies of electricity, air pollutants, tuberculosis, and tumor tend to fluctuate upwards during the research period. In consideration of the varying performances of different regions in the two stages, we put forward suggestions based on these findings to improve the efficiencies of energy, environment, and public health in China.

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