TY - JOUR
T1 - A two-stage dynamic undesirable data envelopment analysis model focused on media reports and the impact on energy and health efficiency
AU - Chen, Huaming
AU - Liu, Jia
AU - Li, Ying
AU - Chiu, Yung Ho
AU - Lin, Tai Yu
N1 - Funding Information:
This study was supported by the National Natural Science Foundation of China (No.71773082); National Social Science Foundation Project of China (No. 17BXW066); Funding for Fundamental Research Business Expenses of Central Universities of Sichuan University in China (No. SKQY201764).
Funding Information:
Funding: This study was supported by the National Natural Science Foundation of China (No.71773082); National Social Science Foundation Project of China (No. 17BXW066); Funding for Fundamental Research Business Expenses of Central Universities of Sichuan University in China (No. SKQY201764).
Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - Past research on energy and environmental issues in China has generally focused on energy and environmental efficiencies with no models having included the public health associations or the role of the media. Therefore, to fill this research gap, this paper used a modified Undesirable Dynamic Network model to analyze the efficiency of China’s energy, environment, health and media communications, from which it was found that the urban production efficiency stage was better than the health treatment stage, and that the energy efficiencies across the Chinese regions varied significantly, with only Beijing, Guangzhou, Lhasa and Nanning being found to have high efficiencies. Large urban gaps and low efficiencies were found for health expenditure, with the best performances being found in Fuzhou, Guangzhou, Haikou, Hefei, Nanning, and Urumqi. The regions with the best media communication efficiencies were Fuzhou, Guangzhou, Haikou, Hefei, Lhasa, Nanning and Urumqi, and the cities with the best respiratory disease efficiencies were Fuzhou, Guangzhou, Haikou, Lhasa, Nanning, Wuhan, Urumqi, Xian, and Yinchuan. Overall, significant efficiency improvements were needed in health expenditure and in particular in respiratory diseases as there were major differences across the country.
AB - Past research on energy and environmental issues in China has generally focused on energy and environmental efficiencies with no models having included the public health associations or the role of the media. Therefore, to fill this research gap, this paper used a modified Undesirable Dynamic Network model to analyze the efficiency of China’s energy, environment, health and media communications, from which it was found that the urban production efficiency stage was better than the health treatment stage, and that the energy efficiencies across the Chinese regions varied significantly, with only Beijing, Guangzhou, Lhasa and Nanning being found to have high efficiencies. Large urban gaps and low efficiencies were found for health expenditure, with the best performances being found in Fuzhou, Guangzhou, Haikou, Hefei, Nanning, and Urumqi. The regions with the best media communication efficiencies were Fuzhou, Guangzhou, Haikou, Hefei, Lhasa, Nanning and Urumqi, and the cities with the best respiratory disease efficiencies were Fuzhou, Guangzhou, Haikou, Lhasa, Nanning, Wuhan, Urumqi, Xian, and Yinchuan. Overall, significant efficiency improvements were needed in health expenditure and in particular in respiratory diseases as there were major differences across the country.
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U2 - 10.3390/ijerph16091535
DO - 10.3390/ijerph16091535
M3 - Article
C2 - 31052235
AN - SCOPUS:85065669430
SN - 1661-7827
VL - 16
JO - International journal of environmental research and public health
JF - International journal of environmental research and public health
IS - 9
M1 - 1535
ER -