Evaluation of the eco-efficiency of waste treatment facilities in Korea

Yi, Sora; Lim, Hye Sook

doi:10.1016/j.jhazmat.2021.125040

Cited by 12 publications

(5 citation statements)

References 22 publications

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“…For example, and Ramli and Munisamy (2015) measured the eco-efficiency of manufacturing industry in the United States and Malaysia, respectively. In addition, the power sector (Arabi et al, 2016;Tenente et al, 2020), port transportation (Quintano et al, 2021), garbage disposal (Yi and Sook, 2021), food processing and consumption (Iten el at., 2021;Abdella et al, 2021), and other niche industries have also attracted extensive attention from researchers. The research on industry and enterprise level focuses on the evaluation of efficiency value, and the research aim is to reduce the additional environmental cost of industrial development.…”

Section: Introductionmentioning

confidence: 99%

Industrial eco-efficiency of resource-based cities in China: spatial–temporal dynamics and associated factors

Chen

Yin

et al. 2023

Environ Sci Pollut Res

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Promoting the greening of industry is the key to achieving high-quality and sustainable development of the urban economy. It is particularly important for resource-based cities (RBCs) that exploit natural resources as the leading industries. In this paper, the Windows-Bootstrap-DEA model was used to calculate the industrial eco-efficiency (IEE) of 114 RBCs in China from 2003 to 2016, and the regional differences and dynamic evolution characteristics of the IEE were analyzed. The panel Tobit model was used to explore the factors associated with IEE in RBCs. The results showed that the IEE of RBCs in China was at a low level during the study period, and the resource utilization process had not reached an optimal state. There were large regional differences in IEE, and there was a significant degree of spatial agglomeration. The results of conditional probability density estimation showed that the distribution of IEE had strong internal stability on the whole, and the distributions of IEE of RBCs in different regions, different resource types, and different development stages showed significant differences. The results of the panel Tobit model showed that per capita GDP, ownership structure, science and technology input, and industrial agglomeration had significant positive effects on IEE, while industrial structure and employment structure showed significant negative effects. The conclusions of this paper can provide a scientific decision-making basis for industrial transformation planning of RBCs.

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Section: Introductionmentioning

confidence: 99%

Industrial eco-efficiency of resource-based cities in China: spatial–temporal dynamics and associated factors

Chen

Yin

et al. 2023

Environ Sci Pollut Res

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“…Eco-efficiency accelerates the delivery of goods and services that are less harmful to the environment. It increases the industry's awareness of the environmental and economic advantages of a circular economy and the introduction of environmentally friendly designs with resource-efficient development [16].…”

Section: Introductionmentioning

confidence: 99%

A Frontier Approach to Eco-Efficiency Assessment in the World’s Busiest Sea Ports

Bulak

2024

Sustainability

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The maritime economy is at the forefront of unprecedented sustainability challenges. Addressing ecological externalities in port operations supports the decarbonization goals of the United Nations (UN) Climate Action program and port city transition towards resilient and sustainable urban units. This research brings out an empirical assessment of seaport performance from an eco–environmental point of sustainability with a non-parametric analysis. Most common indicators from the cross-sectoral Global Reporting Initiative (GRI) database for the 21 world’s busiest seaports are used for the analysis. This research integrates four different models with the inputs CO2 emission, electricity consumption, waste, and water consumption; and the outputs employees, revenue, and container throughput. Projection pathways are established for inefficient seaports to improve sustainability performance. The analysis shows that the seaports of Qingdao and Cartagena are the most sustainably performing seaports under the selected maritime sustainability indicators. This research supports port managers in understanding the strengths and weaknesses of their operations and helps frame strategic policies toward achieving overall sustainability in the maritime industry across SDG 14 (marine ecosystem) and SDG 13 (climate mitigation) goals of the 2030 Urban Agenda.

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“…In the context of MSW management, eco-efficiency evaluations can help to minimize both environmental impact and operational costs ( Cerciello et al, 2019 ; Lombardi et al, 2021 ). Within the circular economy context, such changes are vital for building a sustainable society ( Yi and Lim, 2021 ) contributing also to the achievement of the SDGs 11 and 12 defined by the United Nations (2015). 1 Eco-efficiency is defined as the production of more goods (products) and services with fewer resources (inputs) and less environmental impact ( Beltrán-Esteve et al, 2017 ; Delgado-Antequera et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

“…However, most of past research interpreted LCA and LCC results separately ( Chin et al, 2022 ) and therefore, they did not assess eco-efficiency. Relevant exceptions to this approach are Woon and Lo (2016) , Yi and Lim (2021) , Abdeljaber et al (2022) and Chi et al (2022) who compared the eco-efficiency of waste treatment technologies or facilities developing a synthetic eco-efficiency index. An alternative approach to LCA and LCC approaches to estimate eco-efficiency scores are frontier methods.…”

Section: Introductionmentioning

confidence: 99%

The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach

et al. 2022

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Eco-efficiency assessment of municipal solid waste (MSW) suppliers is a useful tool in the transition to a circular economy. Furthermore, it provides evidence of the economic and environmental performance of municipalities that can be used for decision-making and/or elaboration of regulatory policies. In this study, eco-efficiency scores were computed for a sample of 140 Chilean municipalities in the provision of MSW services. In doing so, the stochastic semi-parametric envelopment of data method was applied. It is a novel technique which overcomes the limitations of parametric (stochastic frontier analysis) and non-parametric (data envelopment analysis) methods previously employed to evaluate the eco-efficiency of MSW services. The average eco-efficiency of the 140 assessed municipalities was 0.332 which indicates that they could save 66.8% of their operational costs and recycling the same amount of waste. Moreover, 61.4% of the evaluated municipalities presented an eco-efficiency score which was lower than 0.4, whereas the other municipalities (38.6% of the sample) exhibited an eco-efficiency which raged between 0.4 and 0.80. Hence, none of the municipalities assessed was identified as eco-efficient which, implies that there is room for all municipalities to reduce operational costs in the management of MSW. Population density, tourism and location of the municipality were identified as factors influencing the eco-efficiency of the municipalities in MSW management.

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Evaluation of the eco-efficiency of waste treatment facilities in Korea

Cited by 12 publications

References 22 publications

Industrial eco-efficiency of resource-based cities in China: spatial–temporal dynamics and associated factors

Industrial eco-efficiency of resource-based cities in China: spatial–temporal dynamics and associated factors

A Frontier Approach to Eco-Efficiency Assessment in the World’s Busiest Sea Ports

The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach

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