Third-party Logistics in Bio-medical Waste System: a Path Towards a Risk-free Sector

Dwivedi, Naman; Sharma, Hritika; Shanker, Saket; Barve, Akhilesh

doi:10.1007/s41660-022-00259-x

Cited by 6 publications

(3 citation statements)

References 90 publications

(117 reference statements)

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“…Chemical treatment, incineration, and landfills rank low due to their higher environmental and financial costs. Dwivedi et al [19] analyzed the factors influencing third-party medical waste management and revealed the salient factors that led to the failure of the medical waste management system in India. Firstly, the causal relationship between factors was described by the unique Interval-Valued Intuitionistic Fuzzy Set of the Decision Experiment and Evaluation Laboratory.…”

Section: Medical Waste Efficiency Evaluationmentioning

confidence: 99%

A Two-Stage Data Envelopment Analysis Approach Incorporating the Global Bounded Adjustment Measure to Evaluate the Efficiency of Medical Waste Recycling Systems with Undesirable Inputs and Outputs

Song,

Ren,

Chen

et al. 2024

Sustainability

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With the ever-increasing focus on sustainable development, recycling waste and renewable use of waste products has earned immense consideration from academics and policy makers. The serious pollution, complex types, and strong infectivity of medical waste have brought serious challenges to management. Although several researchers have addressed the issue by optimizing medical waste management networks and systems, there is still a significant gap in systematically evaluating the efficiency of medical waste recycling systems. Therefore, this paper proposes a two-stage data envelopment analysis (DEA) approach that combines the virtual frontier and the global bounded adjustment measure (BAM-VF-G), considering both undesirable inputs and outputs. In the first stage, the BAM-G model is used to evaluate the efficiency of medical waste recycling systems, and the BAM-VF-G model is used to further rank super-efficient medical waste recycling systems. In the second stage, two types of efficiency decomposition models are proposed. The first type of models decompose unified efficiency into production efficiency (PE) and environment efficiency (EE). Depending upon the system structure, the second type of models decompose unified efficiency into the efficiency of the medical waste collection and transport subsystem (MWCS) and the efficiency of the medical waste treatment subsystem (MWTS). The novel approach is used to measure the efficiency of the medical waste recycling systems in China’s new first-tier cities, and we find that (1) Foshan ranks the highest in efficiency, followed by Tianjin and Qingdao, with efficiency values of 0.386, 0.180, and 0.130, respectively; (2) the EE lacks resilience and fluctuated the most from 2017 to 2022; and (3) the efficiency of MWCSs has always been lower than that of MWTSs and is a critical factor inhibiting the overall efficiency of medical waste recycling systems.

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Section: Medical Waste Efficiency Evaluationmentioning

confidence: 99%

A Two-Stage Data Envelopment Analysis Approach Incorporating the Global Bounded Adjustment Measure to Evaluate the Efficiency of Medical Waste Recycling Systems with Undesirable Inputs and Outputs

Song,

Ren,

Chen

et al. 2024

Sustainability

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show abstract

“…Chemical treatment, incineration, and landfills rank low due to their higher environmental and financial costs. Dwivedi et al (2022) analyzed the factors influencing third-party MW management and revealed the salient factors that led to the failure of the MW management system in India. Firstly, the causal relationship between factors was described by the unique Interval-Valued Intuitionistic Fuzzy Set (IVIFS) of the Decision Experiment and Evaluation Laboratory (DEMATEL).…”

Section: Mw Efficiency Evaluationmentioning

confidence: 99%

A two-stage Data Envelopment Analysis Approach Incorporating Global Bounded Adjustment Measure to evaluate the efficiency of medical waste recycling systems with undesirable inputs and outputs

Song,

Ren,

Chen

et al. 2024

Preprint

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With the ever-increasing focus on sustainable development, recycling waste and renewable use of waste products has earned immense consideration from academics and policy-makers. The serious pollution, complex types, and strong infectivity of medical waste (MW) have brought serious challenges to management. Although several researchers have addressed the issue of the MW by optimizing MW management networks and systems, there is still a significant gap in systematically evaluating the efficiency of MW recycling systems. Therefore, this paper proposes a two-stage data envelopment analysis (DEA) approach that combines the virtual frontier and the global bounded adjustment measure (BAM-VF-G), considering both undesirable inputs and outputs. In the first stage, the BAM-G model is used to evaluate the efficiency of MW recycling systems, and the BAM-VF-G model is used to further rank super-efficient MW recycling systems. In the second stage, two types of efficiency decomposition models are proposed. The first type of models decomposes unified efficiency into production efficiency (PE) and environment efficiency (EE). Depending upon the systems structure, the second type of models decomposes unified efficiency into the efficiency of the MW collection and transport subsystem (MWCS) and the efficiency of the MW treatment subsystem (MWTS). The novel approach is used to measure the efficiency of the MW recycling systems in China's new first-tier cities (CNFCs), and we find that: (1) Foshan ranks the highest in efficiency, followed by Qingdao and Dongguan, with efficiency values of 0.3593, 0.1765, and 0.1530, respectively. (2) EE has always been lower than PE and is a critical factor influencing the overall efficiency of MW recycling systems in CNFCs. (3) The MWCS lacks resilience, with an efficiency 0.042 lower than that of the MWTC. Following the outbreak of COVID-19, the efficiency of the MWCS has been decreasing year by year, reaching only 0.762 in 2021, which is a decline of 0.111 compared to 2017.

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“…The authors declare no conflict of interest. (Dwivedi, et al, 2022) Table A2. Components that support the sustainability practice in the healthcare sector.…”

Section: Conflict Of Interestmentioning

confidence: 99%

Opportunities and challenges of empowering SMEs for sustainable Healthcare delivery

Akinola,

Obokoh

2024

J. Infras. Policy. Dev.

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This paper examines the sustainability practices implemented by healthcare establishments, mainly Small and Medium enterprises (SMEs), We focus on identifying opportunities with challenges involved. This systematic literature analyses 47 studies that explore sustainability practices in the healthcare system globally. The finding from the studies reveals that healthcare organizations with SMEs adopt diverse measures like renewable energy, a reduction, and a response procurement in minimizing the impact on the environment and ensuring financial stability. The challenges SMEs face comprise limited financial resources, lack of expertise, with difficulties accessing information and support. Furthermore, we suggest opportunities for SMEs to enhance sustainability practices with partnerships with other organizations and investing in educating employees. Implementation of sustainability practices will improve the financial stability, and environmental impact, with the wellbeing of healthcare stakeholders. The empirical evidence, comparative studies with cross-disciplinary are needed in exploring the effectiveness of the different suitability practices, potential trade-offs, synergies between sustainability and other organizational goals, the effect of sustainability practice in the financial with non-financial performance on SMEs in healthcare establishment are positive, with cost-effectiveness, efficiencies operations, improving brand reputations and engaging the employee. Established factors like regulating frameworks and government initiatives play a major role in the influence of adopting sustainability practices with cultural factors.

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Third-party Logistics in Bio-medical Waste System: a Path Towards a Risk-free Sector

Cited by 6 publications

References 90 publications

A Two-Stage Data Envelopment Analysis Approach Incorporating the Global Bounded Adjustment Measure to Evaluate the Efficiency of Medical Waste Recycling Systems with Undesirable Inputs and Outputs

A Two-Stage Data Envelopment Analysis Approach Incorporating the Global Bounded Adjustment Measure to Evaluate the Efficiency of Medical Waste Recycling Systems with Undesirable Inputs and Outputs

A two-stage Data Envelopment Analysis Approach Incorporating Global Bounded Adjustment Measure to evaluate the efficiency of medical waste recycling systems with undesirable inputs and outputs

Opportunities and challenges of empowering SMEs for sustainable Healthcare delivery

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