Identifying Characteristics of PPP Projects for Healthcare Facilities for the Elderly Based on Payment Mechanisms in China

Dai, Ke; Li, Sining; Kim, Jung In; Suh, Min Jae

doi:10.1061/(asce)me.1943-5479.0000966

Cited by 9 publications

(8 citation statements)

References 44 publications

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“…Fourth, qualitative comparative analysis (QCA) is useful to identify complex relationships between a set of causal conditions and EIA outcomes (Befani and Sager 2006). Therefore, this approach identifies multiple configurations (i.e., combinations) of conditions resulting in equifinality (i.e., the same outcome) (Dai et al 2021). This combinatorial effect of potential causal conditions is relevant for this study to analyze the complexity of relationships between causal conditions that produce a specific EIA effectiveness outcome.…”

Section: Reasons For Adopting Fsqcamentioning

confidence: 99%

“…The Boolean configuration of crisp-set QCA may lead to contradictory configurations and loss of information, which affected the analysis (Dai et al 2021). To reduce the loss of information and inconsistent configurations of crisp-set QCA, two alternative QCA techniques were introduced, namely, multivalue and fuzzy-set QCA (Rihoux and Lobe 2012).…”

Section: Theoretical Basis Of Qualitative Comparative Analysismentioning

confidence: 99%

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Environmental Impact Assessment Effectiveness in Public–Private Partnerships: Study on the Colombian Toll Road Program

et al. 2023

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Public-private partnership (PPP) has been positioned as a relevant contracting method for developing large-scale infrastructure projects, which entail potentially high-magnitude negative impacts on the environment. The effectiveness of their Environmental Impact Assessment (EIA) is crucial to achieving sustainable development of these large-scale infrastructure projects. To unravel the drivers for the EIA effectiveness and the multiple combinations built by the complexity of these drivers, this paper analyzes 28 road PPP projects from Colombia employing a fuzzy-set qualitative comparative analysis (fsQCA) approach. This paper decodes conjectural causal links between specific conditions grouped in superordinate clusters (i.e., consultants' capability, project features, and communities' participation) and EIA effectiveness dimensions (i.e., normative, procedural, substantive, and transactive). Findings revealed that no single combination of causal conditions ensures multidimensional EIA effectiveness. This study demonstrated that EIA effectiveness relies significantly on the integration of specific features of three external stakeholders: consultants, nonpreferred proponents, and communities. This study constitutes the first empirical multidimensional identification of the combination of conditions that generate EIA effectiveness in road PPPs.

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Section: Reasons For Adopting Fsqcamentioning

confidence: 99%

Section: Theoretical Basis Of Qualitative Comparative Analysismentioning

confidence: 99%

Environmental Impact Assessment Effectiveness in Public–Private Partnerships: Study on the Colombian Toll Road Program

et al. 2023

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“…It was, therefore, recommended by some scholars that artificial intelligence (AI) and machine learning (ML) can be used to enhance traceability and prediction, medical diagnosis and vaccine research with the help of some "big data" (Wu & Shan, 2021). It was also proposed that standardized data collection, sharing, and protection procedures are important in tackling the problem of lacking the proper summary and reflection on the emergency response experience (Wu & Shan, 2021) and the payment mechanisms for the eldercare facilities (Dai et al, 2021). Except for information leakage, the COVID pandemic also raised various challenges regarding epidemic prevention and control.…”

Section: Processes Of Public Hospitals In Chinamentioning

confidence: 99%

“…The second motivation for optimizing healthcare open data was to amend the problems or enhance the efficiency of the existing medical information management process (Bao & Jiang, 2016;Li et al, 2016;Song et al, 2019b;Xu & Tan, 2016;Li et al, 2020). For the second group, some studies attempted to integrate the medical resource to ensure that the medical services and data are more accessible (Gong et al, 2020;Liu et al, 2018;Tian et al, 2020;Zhang et al, 2017), while other were designed for helping the epidemics (i.e., COVID) governance and information sharing (Fan et al, 2017;Hasan et al, 2021;Wu & Shan, 2021;Dai et al, 2021) and chronic disease care (Sun et al, 2013). Unfortunately, there are still some areas waiting to be improved from the process's perspective, including the unequally distributed medical resources between different ranked hospitals, the medical information leakage and low utilization, and the lack of proper control and environment for the management of medical data quality, preservation, and integration.…”

Section: Processes Of Public Hospitals In Chinamentioning

confidence: 99%

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Creating an Open Data City for Healthcare: A Critical Review of Data Management Strategy and Development in China

Fang

Chen

et al. 2023

J. Manage. Eng.

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The unexpected increased cases of COVID-19 pressured the healthcare system to be exposed to unprecedented challenges, where healthcare management is a complex but essential process to manage and coordinate all information and resources. Critical problems are emerging in this new routine and demanding a higher efficiency of medical data sharing. It is becoming emergent to improve the performances of city systems and create an open data city for reliable information and data sharing (e.g., medical and testing) for better public awareness and healthcare services. This research aims to critically review past efforts in open data city for healthcare from the perspective of data management strategy and development. China was selected as a representative due to its fast development in healthcare infrastructure and medical big data, where 79 out of 4,611 articles have been selected, reviewed, and analyzed. A mixed-method approach has been implemented to review and assess the existing efforts of open data city for healthcare through latitudinal and longitudinal analyses from five aspects based on socio-technical systems: technology, people, infrastructure, processes, and culture. The gaps, missions, and challenges of developing an open data city for healthcare have also been summarised, and an open data city healthcare reinforcement 2 framework has been proposed accordingly. This research contributes a new multi-dimensional way to rethink the development of open data city in healthcare and helps establish the state-of-the-art of open data city.

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Analyzing Causes of Disputes in Public–Private Partnership Construction Projects

Nabi,

Assaad,

El-adaway

2024

Lecture Notes in Civil Engineering

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Identifying Characteristics of PPP Projects for Healthcare Facilities for the Elderly Based on Payment Mechanisms in China

Cited by 9 publications

References 44 publications

Environmental Impact Assessment Effectiveness in Public–Private Partnerships: Study on the Colombian Toll Road Program

Environmental Impact Assessment Effectiveness in Public–Private Partnerships: Study on the Colombian Toll Road Program

Creating an Open Data City for Healthcare: A Critical Review of Data Management Strategy and Development in China

Analyzing Causes of Disputes in Public–Private Partnership Construction Projects

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