Abstract
Health is a basic need for human survival and development. To achieve the goal of access to basic medical and health services for everyone, the operational performance of the health industry should be improved, and the allocation of resources in the health industry should be optimized. Because of this, we conduct an empirical analysis to evaluate the performance of community health service centers using cross-evaluation. In this study, we apply the data envelopment analysis (DEA) cross-efficiency model to empirically analyze the performance of 9 local community health service centers in Hefei, China. Through the empirical study, we obtain the following research results. (1) Haitang has the best performance among all community health service centers, whereas Sanxiaokou is the worst. (2) The performance of more than half of the community health service centers is significantly imbalanced. (3) Bozhoulu and Lindian do not perform well in all dimensions, that is, they have an imbalanced development. (4) Shuanggang is balanced but does not perform well in all dimensions. We conduct an empirical analysis with real-world data from 9 local community health service centers using the classical DEA cross-efficiency model and compare the results of the cross-efficiency (cross-evaluation) and CCR efficiency (self-evaluation) to better understand each community health service center’s performance.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
The data that support the findings of this study are openly available on request.
References
Abid N, Ikram M, Wu J, Ferasso M (2021) Towards environmental sustainability: exploring the nexus among ISO 14001, governance indicators and green economy in Pakistan. Sustain Prod Consump 27:653–666. https://doi.org/10.1016/j.spc.2021.01.024
Ahmad M, Iram K, Jabeen G (2020) Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China. Environ Res 190:109995. https://doi.org/10.1016/j.envres.2020.109995
Awartani B, Aktham M, Cherif G (2016) The connectedness between crude oil and financial markets: evidence from implied volatility indices. J Commod Mark 4(1):56–69. https://doi.org/10.1016/j.jcomm.2016.11.002
Badri Ahmadi H, Hashemi Petrudi SH, Wang X (2017) Integrating sustainability into supplier selection with analytical hierarchy process and improved grey relational analysis: a case of telecom industry. Int J Adv Manuf Technol 90(9–12):2413–2427. https://doi.org/10.1007/s00170-016-9518-z
Baloch ZA, Tan Q, Iqbal N, Mohsin M, Abbas Q, Iqbal W, Chaudhry IS (2020) Trilemma assessment of energy intensity, efficiency, and environmental index: evidence from BRICS countries. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-020-09578-3
Chen CF, Li J, Shuai J, Nelson H, Walzem A, Cheng J (2021) Linking social-psychological factors with policy expectation: using local voices to understand solar PV poverty alleviation in Wuhan, China. Energy Policy 151:112160. https://doi.org/10.1016/j.enpol.2021.112160
Cheng H, Chen H, Li Z, Cheng X (2020) Ensemble 1-D CNN diagnosis model for VRF system refrigerant charge faults under heating condition. Energy Build 224. https://doi.org/10.1016/j.enbuild.2020.110256
Chien F, Pantamee AA, Hussain MS, Chupradit S, Nawaz MA, Mohsin M (2021) Nexus between financial innovation and bankruptcy: evidence from information, communication and technology (ict) sector. Singap Econ Rev. https://doi.org/10.1142/S0217590821500181
Fargnoli R (2020) Adapting the EU economic governance to new macroeconomic and political realities. Intereconomics. https://doi.org/10.1007/s10272-020-0922-0
Feng H, Fu S, Xu Y (2021) Fault diagnosis of rotating machinery based on BN-1DCNN model. Zhendong Yu Chongji/J Vib Shock 40(19):302–308. https://doi.org/10.13465/j.cnki.jvs.2021.19.038
Fornell C, Larcker DF (1981) Structural equation models with unobservable variables and measurement error: algebra and statistics. J Mark Res 18(3):382. https://doi.org/10.2307/3150980
Graham JR, Harvey CR (2001) The theory and practice of corporate finance: Evidence from the field. J Financ Econ 60(2–3):187–243
Guo LL, Qu Y, Tseng ML (2017) The interaction effects of environmental regulation and technological innovation on regional green growth performance. J Clean Prod 162:894–902
Hair JF Jr, Matthews LM, Matthews RL, Sarstedt M (2017) PLS-SEM or CB-SEM: updated guidelines on which method to use. Int J Multivar Data Anal 1(2):107. https://doi.org/10.1504/ijmda.2017.10008574
Humphrey JE, Hunter D, Hoang K, Wei WC (2020) Managerial rents vs. shareholder value in closed-end funds: evidence from China. Pac Basin Financ J 64. https://doi.org/10.1016/j.pacfin.2020.101453
Iqbal W, Tang YM, Chau KY, Irfan M, Mohsin M (2021) Nexus between air pollution and NCOV-2019 in China: application of negative binomial regression analysis. Process Saf Environ Prot. https://doi.org/10.1016/j.psep.2021.04.039
Irfan M, Hao Y, Ikram M, Wu H, Akram R, Rauf A (2021) Assessment of the public acceptance and utilization of renewable energy in Pakistan. Sustain Prod Consump 27:312–324
Jiang H, Hu XY, Mosel S, Knauer SK, Hirschhäuser C, Schmuck C (2019) A branched tripeptide with an anion-binding motif as a new delivery carrier for efficient gene transfection. ChemBioChem 20(11):1410–1416. https://doi.org/10.1002/cbic.201800728
Lea C, Flynn MD, Vidal R, Reiter A, Hager GD (2017) Temporal convolutional networks for action segmentation and detection. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017-Janua, 1003–1012. https://doi.org/10.1109/CVPR.2017.113
Li J, Yan X (2020) Process monitoring using principal component analysis and stacked autoencoder for linear and nonlinear coexisting industrial processes. J Taiwan Inst Chem Eng 112:322–329. https://doi.org/10.1016/j.jtice.2020.06.001
Li N, Shi H, Song B, Tao Y (2020) Temporal-spatial neighborhood enhanced sparse autoencoder for nonlinear dynamic process monitoring. Processes 8(9). https://doi.org/10.3390/pr8091079
Li W, Chien F, Hsu CC, Zhang YQ, Nawaz MA, Iqbal S, Mohsin M (2021) Nexus between energy poverty and energy efficiency: Estimating the long-run dynamics. Resour Policy. https://doi.org/10.1016/j.resourpol.2021.102063
Liu S, Wang J, Shen B, Zhai J, Hao H, Zhao L (2017) Poly(vinylidene fluoride) nanocomposites with a small loading of core-shell structured BaTiO3@Al2O3nanofibers exhibiting high discharged energy density and efficiency. J Alloy Compd 696:136–142. https://doi.org/10.1016/j.jallcom.2016.11.186
Liu X, Dong X, Li S, Ding Y, Zhang M (2021) Air pollution and high human capital population migration: an empirical study based on 35 major cities in China. Sustain Prod Consump 27:643–652
Ma Y, Shi H, Ma H, Wang M (2013) Dynamic process monitoring using adaptive local outlier factor. Chemom Intell Lab Syst 127:89–101. https://doi.org/10.1016/j.chemolab.2013.06.004
Mohsin M, Hanif I, Taghizadeh-Hesary F, Abbas Q, Iqbal W (2021) Nexus between energy efficiency and electricity reforms: a DEA-based way forward for clean power development. Energy Policy. https://doi.org/10.1016/j.enpol.2020.112052
Mohsin M, Taghizadeh-Hesary F, Panthamit N, Anwar S, Abbas Q, Vo XV (2020) Developing low carbon finance index: evidence from developed and developing economies. Financ Res Lett. https://doi.org/10.1016/j.frl.2020.101520
Pinto E, Morrison-Saunders A, Bond A, Pope J, Retief F (2019) Distilling and applying criteria for best practice EIA follow-up. JEAPM. https://doi.org/10.1142/S146433321950008X
Pramborg B (2005) Foreign exchange risk management by Swedish and Korean nonfinancial firms: a comparative survey. Pac Basin Financ J 13(3):343–366. https://doi.org/10.1016/j.pacfin.2004.04.003
Radonjič G, Tominc P (2006) The impact and significance of ISO 14001 certification on the adoption of new technologies: The case of Slovenia. Manag Environ Qual Int J 17(6):707–727. https://doi.org/10.1108/14777830610702539
Shao Z, Er MJ (2016) An online sequential learning algorithm for regularized Extreme Learning Machine. Neurocomputing 173:778–788. https://doi.org/10.1016/j.neucom.2015.08.029
Sun HP, Tariq G, Haris M, Mohsin M (2019) Evaluating the environmental effects of economic openness: evidence from SAARC countries. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-019-05750-6
Sun L, Cao X, Alharthi M, Zhang J, Taghizadeh-Hesary F, Mohsin M (2020) Carbon emission transfer strategies in supply chain with lag time of emission reduction technologies and low-carbon preference of consumers. J Clean Prod. https://doi.org/10.1016/j.jclepro.2020.121664
Swanepoel F, Retief F, Bond A, Pope J, Morrison-Saunders A, Houptfleisch M, Fundingsland M (2019) Explanations for the quality of biodiversity inputs to environmental impact assessment (EIA) in areas with high biodiversity value. J Environ Assess Policy Manag. https://doi.org/10.1142/S1464333219500091
Tiep NC, Wang M, Mohsin M, Kamran HW, Yazdi FA (2021) An assessment of power sector reforms and utility performance to strengthen consumer self-confidence towards private investment. Econ Anal Policy. https://doi.org/10.1016/j.eap.2021.01.005
Treiblmaier H, Sillaber C (2021) The impact of blockchain on e-commerce: a framework for salient research topics. Electron Commer Res Appl 48:101054. https://doi.org/10.1016/j.elerap.2021.101054
Ullah K, Rashid I, Afzal H, Iqbal MMW, Bangash YA, Abbas H (2020) SS7 vulnerabilities—a survey and implementation of machine learning vs rule based filtering for detection of SS7 network attacks. IEEE Commun Surv Tutorials 22(2):1337–1371. https://doi.org/10.1109/COMST.2020.2971757
Vos R, Cattaneo A (2021) Poverty reduction through the development of inclusive food value chains. J Integr Agric 20(4):964–978. https://doi.org/10.1016/S2095-3119(20)63398-6
Zhu J, Shi H, Song B, Tao Y, Tan S (2020) Information concentrated variational auto-encoder for quality-related nonlinear process monitoring. J Process Control 94:12–25
Zhu Q, Qin SJ (2019) Supervised diagnosis of quality and process faults with canonical correlation analysis. Ind Eng Chem Res 58(26):11213–11223. https://doi.org/10.1021/acs.iecr.9b00320
Funding
This work is supported by Humanities and Social Sciences Research Project of Anhui Provincial Education Department (SK2019A1062).
Author information
Authors and Affiliations
Contributions
Min Wang: conceptualization, methodology, writing—original draft, writing—review and editing, data curation, visualization, funding acquisition.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
I declare that I have no human participants, human data or human tissues.
Consent for publication
I do not have any individual person’s data in any form.
Conflict of interest
The author declares no competing interests.
Additional information
Responsible Editor: Philippe Garrigues
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Wang, M. Economic performance evaluation of community health service centers: a DEA-based cross-efficiency study. Environ Sci Pollut Res 30, 18660–18673 (2023). https://doi.org/10.1007/s11356-022-23048-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-022-23048-y