sustainability-logo

Journal Browser

Journal Browser

Sustainable Ecological Efficiency

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Social Ecology and Sustainability".

Deadline for manuscript submissions: closed (26 March 2023) | Viewed by 8891

Special Issue Editor


E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Naples Federico II, Napoli, Italy
Interests: efficiency and productivity analysis; technology and innovation economics; utilities and infrastructure economics; project economics and evaluation; environmental and resource economics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

There is a growing social concern about the negative externalities associated with the industrial progress, urbanization, and traditional economic activities due to environment deterioration and resource depletion. Thus, achieving sustainable development and implementing business activities which create value with less environmental impact, such as pollution prevention, waste reduction, material recycling, closed-loop supply chain management, and adoption of environmental management systems, have become important goals for many countries in the world. Transforming the traditional model of economic growth into a new model based on the circular economy and resource conservation paradigms, which is more ecological efficient, is the main challenge to overcome for the coming years.

Coordination between industrial activities, technology progress, urbanization development, resource usage, and environment preservation represent important elements in the pursuit of sustainable development. Recently, the concept of ecological efficiency has received significant attention in the literature on sustainable development as it provides an indicator to assess to what extent such coordination among economic needs, resource availability, and environmental concerns is effective.

Originally developed to push manufacturing companies to adopt more environmentally sustainable competitive strategies, the ecological efficiency concept refers to the need to create more goods and services (more value), utilizing a lower amount of resources and having a lower environmental impact (i.e., generating less waste and pollution).

While the ecological efficiency concept has been developed as a useful tool for the manufacturing industry to create greater business value with a smaller environmental impact and resource consumption, its implementation has been expanded beyond the manufacturing side to the economy-wide level, providing local and national governments with a practical tool to support their journey toward the sustainable growth of the society, helping them to design more effective socioeconomic policies that meet environmental goals.

Particularly, ecological efficiency indicators can be used to measure and benchmark the ecological efficiency of different industries, compare the ecological efficiency of the economic growth patterns of countries, identify policy areas that should be improved to gain economic benefit, monitor trends in the ecological efficiency improvement strategies over time, etc.

These indicators have been used to measure the ecological efficiency of manufacturing processes or plants, companies, industries, cities, regions or countries. Although many approaches and methods have been proposed to construct indicators capable of assessing ecological efficiency, such as single indicators or sets of indicators jointly used to measure the environment cost to economic activity ratio, nonparametric frontier methods, and parametric frontier methods, their measurement is still a subject of research, and there are still no standard indicators and measurement methods for measuring the economic and environmental components, as well as the overall eco-efficiency value.

This Special Issue will collect empirical and theoretical papers whose aim is to shed light on the measurement of ecological efficiency, contributing to an increase in understanding about current approaches, methods, practice, and policies related to its evaluation and utilization. Scholars from different fields, such as economics, management, engineering, psychology, social sciences, political science, etc., are invited to submit their studies.

Prof. Dr. Corrado lo Storto
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Conceptualization and measurement of the ecological efficiency at different levels (i.e., product or service, process, company, region, country)
  • Calculation of the ecological efficiency optimal value
  • Methods and techniques to measure the ecological efficiency
  • Ecological efficiency and long-term business sustainability
  • Critical factors affecting the ecological efficiency measurement
  • Utilization of the ecological efficiency indicator as a benchmarking tool
  • Trade-offs among environmental impact, resource usage, business goals, and societal needs and ecological efficiency
  • Effect of market structure, regulation intensity, and competition on ecological efficiency

Published Papers (5 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 323 KiB  
Article
Exploring the Role of Foreign Direct Investment and Environmental Regulation in Regional Ecological Efficiency in the Context of Sustainable Development
by Yumei Wu, Rong Wang and Fayuan Wang
Sustainability 2023, 15(11), 9104; https://doi.org/10.3390/su15119104 - 05 Jun 2023
Cited by 1 | Viewed by 927
Abstract
Eco-efficiency (EE) is an important indicator of regional sustainable development, which reflects the efficiency of regional economic development in using resources effectively to reduce environmental pressures, and foreign direct investment and environmental regulation are very important in promoting regional economic growth and enhancing [...] Read more.
Eco-efficiency (EE) is an important indicator of regional sustainable development, which reflects the efficiency of regional economic development in using resources effectively to reduce environmental pressures, and foreign direct investment and environmental regulation are very important in promoting regional economic growth and enhancing eco-efficiency. In this paper, we chose China’s panel data from 2009 to 2021, measured China’s regional eco-efficiency using the super-efficient SBM model, and explored environmental regulation and the impact of FDI on EE in different regions using the Tobit model, with conclusions as follows: (1) The average value of national EE in China during 2009–2021 was about 0.631, which was at a low level, and there were significant differences between regions, with the highest EE in the eastern region, and the central and western regions being lower than the national average. (2) FDI at the national level had a significant promoting effect on regional EE, with an elasticity coefficient of 0.0213, which verifies that the “pollution paradise” effect does not exist at national level. FDI promoted EE in the eastern region, while not being significant in the other two regions. The impact of the environmental regulation act on EE at the national level did not pass the significance test, but the impact passed the significance test with positive coefficients for both the eastern and central regions, while in the western region it was not significant. (3) Financial investment in science and technology promoted EE in the national, east, and central regions significantly, while not being significant in the western region. The economic development level of all regions was positively correlated with EE; the impact of urbanization on EE was significantly positive in national, central, and western regions, but was not significant in the eastern region. The industrial structure of all regions was not conducive to the improvement of EE, with the western region having the most negative impact on EE. The study in this paper represents an important addition and refinement to research in related fields. Full article
(This article belongs to the Special Issue Sustainable Ecological Efficiency)
22 pages, 2201 KiB  
Article
Multidimensional Measurement and Enhancement Strategies of the Provincial Ecological Niche in the Yellow River Basin
by Yanxia Wu, Shuaishuai Yang and Yushu Li
Sustainability 2022, 14(20), 13034; https://doi.org/10.3390/su142013034 - 12 Oct 2022
Cited by 1 | Viewed by 1115
Abstract
Provincial economic development in the VUCA era (V: volatility; U: uncertainty; C: complexity; A: ambiguity) is facing great challenges. Comprehensively measuring the provincial ecological niche and giving enhancement strategies are significant for the implementation of the Yellow River Strategy. By constructing the S–R–F [...] Read more.
Provincial economic development in the VUCA era (V: volatility; U: uncertainty; C: complexity; A: ambiguity) is facing great challenges. Comprehensively measuring the provincial ecological niche and giving enhancement strategies are significant for the implementation of the Yellow River Strategy. By constructing the S–R–F (Status–Relationship–Function) provincial ecological niche measurement framework using the SEM model (the structural equation modeling), this paper calculated the provincial ecological niche of the Yellow River Basin from 2005 to 2019 using an ecological niche width model, an ecological niche overlap model and an ecological niche suitability model and gave improvement strategies through spatial positioning. Results: (1) The ecological niche breadth in the Yellow River Basin is uneven, showing a spatial pattern of “low in the upper reaches, high in the lower reaches”. The ecological niche overlap changes from synchronous competition to hierarchical differentiation. The ecological niche suitability shows a transformation of “overall homogeneity but local variation”. (2) Qinghai and Gansu belong to subspace I of ecological niches; the strategies of ecological niche specialization, potential ecological niche and ecological niche synergy are appropriate. Shanxi, Inner Mongolia and Ningxia belong to subspace III; the strategies of ecological niche specialization, ecological niche separation, potential ecological niche and ecological niche synergy are suitable. Shandong belongs to subspace VI; the strategies of ecological niche generalization and ecological niche synergy are fitting. Henan, Sichuan and Shaanxi belong to subspace VIII; it is advisable to choose ecological niche generalization, ecological niche separation and ecological niche synergy strategies. The possible marginal contributions of this paper are: (1) applying the idea of fitting optimization to guide the construction of a provincial ecological status indicator system, applying the validation analysis in the SEM model to test the suitability and validity of a provincial ecological status indicator system and improving the scientificity and objectivity of the indicator system construction. (2) Correlating the measurement model with the connotation (state–relationship–function) of the provincial ecological niche, the perspective of ecological niche research and improving the theoretical support for the construction of a multidimensional measurement model. (3) Spatial positioning of provincial ecological niches to improve the relevance and effectiveness of strategies. Full article
(This article belongs to the Special Issue Sustainable Ecological Efficiency)
Show Figures

Figure 1

21 pages, 1282 KiB  
Article
Eco-Productivity Analysis of the Municipal Solid Waste Service in the Apulia Region from 2010 to 2017
by Corrado lo Storto
Sustainability 2021, 13(21), 12008; https://doi.org/10.3390/su132112008 - 29 Oct 2021
Cited by 9 | Viewed by 1688
Abstract
This paper presents a dynamic efficiency study of the solid waste management in the municipalities of the Apulia region (Southern Italy). The study employs the non-parametric Global Malmquist Index to measure the change in productivity of the municipal solid waste service from 2010 [...] Read more.
This paper presents a dynamic efficiency study of the solid waste management in the municipalities of the Apulia region (Southern Italy). The study employs the non-parametric Global Malmquist Index to measure the change in productivity of the municipal solid waste service from 2010 to 2017. Three different DEA-based models are implemented to measure productivity. The first model computes the service productivity solely from the economic perspective, while the second and third models compute the service productivity from both the economic and environmental perspectives. Adopting two distinct perspectives provides a more comprehensive insight into the performance of the waste management service considering the productivity and the eco-productivity of service provision. The results from the productivity analysis show that, between 2010 and 2017, the municipal solid waste sector was still facing a transitional period characterized by low cost-efficiency and productivity growth measurements. Vice versa, the efficiency and productivity indicators improve when the analysis is performed accounting for the environmental impact. Indeed, both the eco-efficiency and eco-productivity measures increase from 2010 to 2017. Findings demonstrate the critical importance to include environmental indicators in the efficiency and productivity analysis. Full article
(This article belongs to the Special Issue Sustainable Ecological Efficiency)
Show Figures

Figure 1

19 pages, 6958 KiB  
Article
China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach
by Liangen Zeng
Sustainability 2021, 13(6), 3143; https://doi.org/10.3390/su13063143 - 12 Mar 2021
Cited by 17 | Viewed by 1741
Abstract
From the Kyoto Protocol to the Copenhagen Conference and the Paris Agreement, eco-environmental problems have gradually become a matter of common concern worldwide. Eco-efficiency (EE) is an essential indicator for measuring levels of sustainable development. This study uses an epsilon-based measure (EBM) model [...] Read more.
From the Kyoto Protocol to the Copenhagen Conference and the Paris Agreement, eco-environmental problems have gradually become a matter of common concern worldwide. Eco-efficiency (EE) is an essential indicator for measuring levels of sustainable development. This study uses an epsilon-based measure (EBM) model with undesirable outputs to evaluate the EEs of 30 Chinese provinces during the research period 2008 to 2017, and a spatial Durbin model (SDM) to search for the impact factors of EE. The results indicate that most provinces in China have a low EE level. The EE value of the eastern area is higher than are those for the central, western, or northeastern areas. The EE in China as a whole demonstrates an inverted V-shaped trend with a high point in 2011. The SDM shows that economic development level, foreign trade dependence, and technological progress exert significant positive effects on EE, while population density exerts significant negative influences on EE. This paper provides scientific bases for the formulation of policies resulting in sustainable development. Full article
(This article belongs to the Special Issue Sustainable Ecological Efficiency)
Show Figures

Figure 1

15 pages, 2184 KiB  
Article
Assessment of Ecological Efficiency and Environmental Sustainability of the Minjiang-Source in China
by Junlong Li, Chuangneng Cai and Feng Zhang
Sustainability 2020, 12(11), 4783; https://doi.org/10.3390/su12114783 - 11 Jun 2020
Cited by 14 | Viewed by 2597
Abstract
Ecological sustainability is treated as a main reflection of the synergy among social development, economic growth and environmental protection, while ecological efficiency is an index used to reflect the sustainable development of the ecological environment. The super efficiency model with undesirable outputs (SE-SBM) [...] Read more.
Ecological sustainability is treated as a main reflection of the synergy among social development, economic growth and environmental protection, while ecological efficiency is an index used to reflect the sustainable development of the ecological environment. The super efficiency model with undesirable outputs (SE-SBM) model was applied to measure the eco-efficiency of the 12 counties in the Minjiang-Source, China, in 2005–2017. The spatial and temporal evolution and spatial differentiation of the eco-efficiency were analyzed. The results showed that the eco-efficiency of 67.7% of the 12 counties remains at a low level but with an increasing trend. A typical spatial aggregation effect was found with the characteristics of “high in the east and low in the west”. The Malmquist-Luenberger index shows a trend of fluctuation with the same trend between scale efficiency and technical efficiency changes. The results proved the positive effect of technological progress on local eco-efficiency. Environmental regulation has a positive impact on eco-efficiency in the short term and an inhibition effect in the long run. Hence, technological innovation and industrial adjustment will be an effective way to improve the eco-efficiency of the Minjiang-Source and promote its sustainability. Full article
(This article belongs to the Special Issue Sustainable Ecological Efficiency)
Show Figures

Figure 1

Back to TopTop