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Measuring productivity of healthcare services under environmental constraints: evidence from China
BACKGROUND: Despite the growing literature on the efficiency and productivity of the Chinese healthcare system, less attention has been given to examining the undesirable outputs linked to healthcare services, including environmental pollution. Taking the atmospheric environmental pollution resultin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374832/ https://www.ncbi.nlm.nih.gov/pubmed/32698810 http://dx.doi.org/10.1186/s12913-020-05496-9 |
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author | Yu, Jinna Liu, Zhen Zhang, Tingting Hatab, Assem Abu Lan, Jing |
author_facet | Yu, Jinna Liu, Zhen Zhang, Tingting Hatab, Assem Abu Lan, Jing |
author_sort | Yu, Jinna |
collection | PubMed |
description | BACKGROUND: Despite the growing literature on the efficiency and productivity of the Chinese healthcare system, less attention has been given to examining the undesirable outputs linked to healthcare services, including environmental pollution. Taking the atmospheric environmental pollution resulting from the incineration of medical waste as an undesirable output of the healthcare system, this study analyzed the growth and decomposition of Total Factor Productivity (TFP) of healthcare services across 31 Chinese provinces during the period 2005–2016. METHODS: The Meta-frontier undesirable super-efficiency slack-based measure (SBM) model and the Global Malmquist-Luenberger (GML) Index were employed to analyze the growth and decomposition of TFP using the Max DEA software. RESULTS: The results revealed that the years 2009 and 2015 marked significant changes in TFP of healthcare services in Chinese provinces. During the study period, the rate of technological change (TC) slowly declined, whereas the rate of efficiency change (EC) steadily increased. With the national average being the benchmark, the results indicated that: the TFP of 17 provinces and cities exceeded the average, the EC of 16 provinces and cities exceeded the average, the TC of 9 provinces and cities exceeded the average, and the value in the Technology Gap Ratio (TGR) changes of 13 provinces and cities were above the national average. CONCLUSIONS: (1) The TFP of the healthcare services across China continued to decline slowly during the study period. (2) The effect of technical catch-up in the eastern, central, and western regions of China was significant across the three regions, whereas the effect of technical innovation was negative. (3) The TFP varied considerably among the Chinese provinces. These findings suggest that, under existing environmental constraints, relevant government departments should improve technical innovation in the supply of healthcare services and medical waste treatment, increase technical efficiency in the factor of healthcare production, strengthen regional health planning, and balance the development of regional healthcare. |
format | Online Article Text |
id | pubmed-7374832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73748322020-07-22 Measuring productivity of healthcare services under environmental constraints: evidence from China Yu, Jinna Liu, Zhen Zhang, Tingting Hatab, Assem Abu Lan, Jing BMC Health Serv Res Research Article BACKGROUND: Despite the growing literature on the efficiency and productivity of the Chinese healthcare system, less attention has been given to examining the undesirable outputs linked to healthcare services, including environmental pollution. Taking the atmospheric environmental pollution resulting from the incineration of medical waste as an undesirable output of the healthcare system, this study analyzed the growth and decomposition of Total Factor Productivity (TFP) of healthcare services across 31 Chinese provinces during the period 2005–2016. METHODS: The Meta-frontier undesirable super-efficiency slack-based measure (SBM) model and the Global Malmquist-Luenberger (GML) Index were employed to analyze the growth and decomposition of TFP using the Max DEA software. RESULTS: The results revealed that the years 2009 and 2015 marked significant changes in TFP of healthcare services in Chinese provinces. During the study period, the rate of technological change (TC) slowly declined, whereas the rate of efficiency change (EC) steadily increased. With the national average being the benchmark, the results indicated that: the TFP of 17 provinces and cities exceeded the average, the EC of 16 provinces and cities exceeded the average, the TC of 9 provinces and cities exceeded the average, and the value in the Technology Gap Ratio (TGR) changes of 13 provinces and cities were above the national average. CONCLUSIONS: (1) The TFP of the healthcare services across China continued to decline slowly during the study period. (2) The effect of technical catch-up in the eastern, central, and western regions of China was significant across the three regions, whereas the effect of technical innovation was negative. (3) The TFP varied considerably among the Chinese provinces. These findings suggest that, under existing environmental constraints, relevant government departments should improve technical innovation in the supply of healthcare services and medical waste treatment, increase technical efficiency in the factor of healthcare production, strengthen regional health planning, and balance the development of regional healthcare. BioMed Central 2020-07-22 /pmc/articles/PMC7374832/ /pubmed/32698810 http://dx.doi.org/10.1186/s12913-020-05496-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Yu, Jinna Liu, Zhen Zhang, Tingting Hatab, Assem Abu Lan, Jing Measuring productivity of healthcare services under environmental constraints: evidence from China |
title | Measuring productivity of healthcare services under environmental constraints: evidence from China |
title_full | Measuring productivity of healthcare services under environmental constraints: evidence from China |
title_fullStr | Measuring productivity of healthcare services under environmental constraints: evidence from China |
title_full_unstemmed | Measuring productivity of healthcare services under environmental constraints: evidence from China |
title_short | Measuring productivity of healthcare services under environmental constraints: evidence from China |
title_sort | measuring productivity of healthcare services under environmental constraints: evidence from china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374832/ https://www.ncbi.nlm.nih.gov/pubmed/32698810 http://dx.doi.org/10.1186/s12913-020-05496-9 |
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