Comparing Economics, Environmental Pollution and Health Efficiency in China
As the modern economy develops rapidly, environmental pollution and human health have also been threatened. In recent years, relevant research has focused on subjects such as energy and economic, environmental pollution and health issues. Yet this has not considered the use of water resources and th...
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Published in | International journal of environmental research and public health Vol. 16; no. 23; p. 4827 |
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Abstract | As the modern economy develops rapidly, environmental pollution and human health have also been threatened. In recent years, relevant research has focused on subjects such as energy and economic, environmental pollution and health issues. Yet this has not considered the use of water resources and the impact of wastewater pollutant emissions on the economy and health. This article has combined the following factors like water consumption with wastewater discharge, pollutant concentration in sewage and local medical care expenditure and put them into the model of water resources, energy and health measurement, and a two-stage dynamic data envelopment analysis (DEA) model considering undesirable outputs is applied to 30 provinces (including autonomous regions and municipalities) to calculate the total efficiency, production efficiency and health efficiency in 2014–2017.The results show that the total efficiency values of most provinces are between 0.2 and 0.4, providing large room for improvement. Production efficiency and health efficiency have increased in recent years, but the health efficiency values of most provinces are still so low that they have dragged back the overall efficiency. The key impact indicators of different provinces are different, and each province should formulate different policies according to its own specific conditions so as to purposefully to deepen the energy, economic and medical reforms in each province, and also to promote sustainable economic development while improving health efficiency. |
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AbstractList | As the modern economy develops rapidly, environmental pollution and human health have also been threatened. In recent years, relevant research has focused on subjects such as energy and economic, environmental pollution and health issues. Yet this has not considered the use of water resources and the impact of wastewater pollutant emissions on the economy and health. This article has combined the following factors like water consumption with wastewater discharge, pollutant concentration in sewage and local medical care expenditure and put them into the model of water resources, energy and health measurement, and a two-stage dynamic data envelopment analysis (DEA) model considering undesirable outputs is applied to 30 provinces (including autonomous regions and municipalities) to calculate the total efficiency, production efficiency and health efficiency in 2014–2017.The results show that the total efficiency values of most provinces are between 0.2 and 0.4, providing large room for improvement. Production efficiency and health efficiency have increased in recent years, but the health efficiency values of most provinces are still so low that they have dragged back the overall efficiency. The key impact indicators of different provinces are different, and each province should formulate different policies according to its own specific conditions so as to purposefully to deepen the energy, economic and medical reforms in each province, and also to promote sustainable economic development while improving health efficiency. As the modern economy develops rapidly, environmental pollution and human health have also been threatened. In recent years, relevant research has focused on subjects such as energy and economic, environmental pollution and health issues. Yet this has not considered the use of water resources and the impact of wastewater pollutant emissions on the economy and health. This article has combined the following factors like water consumption with wastewater discharge, pollutant concentration in sewage and local medical care expenditure and put them into the model of water resources, energy and health measurement, and a two-stage dynamic data envelopment analysis (DEA) model considering undesirable outputs is applied to 30 provinces (including autonomous regions and municipalities) to calculate the total efficiency, production efficiency and health efficiency in 2014-2017.The results show that the total efficiency values of most provinces are between 0.2 and 0.4, providing large room for improvement. Production efficiency and health efficiency have increased in recent years, but the health efficiency values of most provinces are still so low that they have dragged back the overall efficiency. The key impact indicators of different provinces are different, and each province should formulate different policies according to its own specific conditions so as to purposefully to deepen the energy, economic and medical reforms in each province, and also to promote sustainable economic development while improving health efficiency.As the modern economy develops rapidly, environmental pollution and human health have also been threatened. In recent years, relevant research has focused on subjects such as energy and economic, environmental pollution and health issues. Yet this has not considered the use of water resources and the impact of wastewater pollutant emissions on the economy and health. This article has combined the following factors like water consumption with wastewater discharge, pollutant concentration in sewage and local medical care expenditure and put them into the model of water resources, energy and health measurement, and a two-stage dynamic data envelopment analysis (DEA) model considering undesirable outputs is applied to 30 provinces (including autonomous regions and municipalities) to calculate the total efficiency, production efficiency and health efficiency in 2014-2017.The results show that the total efficiency values of most provinces are between 0.2 and 0.4, providing large room for improvement. Production efficiency and health efficiency have increased in recent years, but the health efficiency values of most provinces are still so low that they have dragged back the overall efficiency. The key impact indicators of different provinces are different, and each province should formulate different policies according to its own specific conditions so as to purposefully to deepen the energy, economic and medical reforms in each province, and also to promote sustainable economic development while improving health efficiency. |
Author | Wu, Fengping Zhang, Lina Huang, Huinan Shi, Zhen Sun, Xinrui |
AuthorAffiliation | 1 Business School, Hohai University, Nanjing 211100, China; 20051726@hhu.edu.cn 2 School of Business Administration, Hohai University, Changzhou 213022, China; 1763510216@hhu.edu.cn (H.H.); 1763510127@hhu.edu.cn (X.S.); 20191001@hhu.edu.cn (L.Z.) |
AuthorAffiliation_xml | – name: 2 School of Business Administration, Hohai University, Changzhou 213022, China; 1763510216@hhu.edu.cn (H.H.); 1763510127@hhu.edu.cn (X.S.); 20191001@hhu.edu.cn (L.Z.) – name: 1 Business School, Hohai University, Nanjing 211100, China; 20051726@hhu.edu.cn |
Author_xml | – sequence: 1 givenname: Zhen orcidid: 0000-0001-6988-1676 surname: Shi fullname: Shi, Zhen – sequence: 2 givenname: Fengping surname: Wu fullname: Wu, Fengping – sequence: 3 givenname: Huinan surname: Huang fullname: Huang, Huinan – sequence: 4 givenname: Xinrui surname: Sun fullname: Sun, Xinrui – sequence: 5 givenname: Lina surname: Zhang fullname: Zhang, Lina |
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Keywords | health efficiency two-stage dynamic DEA model pollutant emissions production efficiency |
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SubjectTerms | Air pollution China Cities Data envelopment analysis Economic models Efficiency, Organizational Environmental Pollution Health risk assessment Humans Outdoor air quality Public health |
Title | Comparing Economics, Environmental Pollution and Health Efficiency in China |
URI | https://www.ncbi.nlm.nih.gov/pubmed/31805634 https://www.proquest.com/docview/2329596027 https://www.proquest.com/docview/2322742014 https://pubmed.ncbi.nlm.nih.gov/PMC6926634 |
Volume | 16 |
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