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Journal articles on the topic 'Eco efficiency'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 June 2024

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1

Grewe, Volker, and Florian Linke. "Eco-efficiency in aviation." Meteorologische Zeitschrift 26, no. 6 (December 8, 2017): 689–96. http://dx.doi.org/10.1127/metz/2017/0762.

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2

Cope, David R. "Eco-efficiency." Nature 362, no. 6416 (March 1993): 124–25. http://dx.doi.org/10.1038/362124b0.

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3

Kicherer, Andreas, Stefan Schaltegger, Heinrich Tschochohei, and Beatriz Ferreira Pozo. "Eco-efficiency." International Journal of Life Cycle Assessment 12, no. 7 (December 22, 2006): 537–43. http://dx.doi.org/10.1007/s11367-007-0305-9.

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Kicherer, Andreas, Stefan Schaltegger, Heinrich Tschochohei, and Beatriz Ferreira Pozo. "Eco-efficiency." International Journal of Life Cycle Assessment 12, no. 7 (December 22, 2006): 537–43. http://dx.doi.org/10.1065/lca2007.01.305.

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5

Huppes, Gjalt, and Masanobu Ishikawa. "Why Eco-efficiency?" Journal of Industrial Ecology 9, no. 4 (October 2005): 2–5. http://dx.doi.org/10.1162/108819805775248052.

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6

Zhao, Xinyue, Chaofan Zhang, and Shunwen Bai. "Eco-Efficiency of End-of-Pipe Systems: An Extended Environmental Cost Efficiency Framework for Wastewater Treatment." Water 12, no. 2 (February 8, 2020): 454. http://dx.doi.org/10.3390/w12020454.

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As a method for eco-efficiency analysis, environmental cost efficiency (ECE) indicators have been proposed for the end-of-pipe (EOP) systems that referred to the techniques achieving environmental benefit under economic cost. The wastewater treatment plant (WWTP) belongs to the EOP systems; however, few studies used the ECE indicators for the sustainability evaluation. Here, this study first proposed the following processes that had been excluded in the current ECE framework and thus limited the potential application in WWTP: (1) the direct impact of wastewater on receiving water, (2) the migration and transformation of water pollutants affected by the self-purification mechanisms of receiving water. To address the aforementioned processes, this study extended the framework of ECE indicators by means of incorporating the potential growth of microorganisms as the characterization state and integrating the water quality models with the characterization models. To investigate the applicability, a full-scale WWTP was selected as the study case and the eco-efficiency of the increasing levels of sewage treatment was evaluated. The case outcome showed that, with the extended ECE indicators, the analysis of eco-efficiency could be directly related to the specific locations and could determine the specific distance ranges within which the scenarios changing were considered efficient. Moreover, the eco-efficiency could be investigated under more concrete and flexible situations because the extended framework of ECE indicators was able to include more information, such as different types of receiving water or different environmental conditions of certain water body.
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7

Czyżewski, Bazyli, Anna Matuszczak, and Andreea Muntean. "Approaching environmental sustainability of agriculture: environmental burden, eco-efficiency or eco-effectiveness." Agricultural Economics (Zemědělská ekonomika) 65, No. 7 (July 17, 2019): 299–306. http://dx.doi.org/10.17221/290/2018-agricecon.

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The main goal of the article is to compare three approaches to measuring environmental sustainability in agriculture: i) the environmental burden index; ii) the sustainable value of eco-efficient production; and iii) the sustainable value of the eco-effective farm, applied to the sample of 130 EUFADN (European Union Farm Accountancy Data Network) regions in 2015. The study indicates a fundamental problem: the notion of environmental sustainability in agriculture differs depending on the criterion we apply. We recognized a principle trade-off in the Common Agricultural Policy (CAP) which consists of compensating for the strain on the natural environment with production or with public goods provision. Studies on these two effects seem to be crucial to draw a consistent development path for the CAP. Our major finding is that public goods-oriented farming is more likely to expand after improving eco-efficiency. This is still a challenge because in European regions, eco-efficient has not meant environmentally sustainable yet.
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8

Davé, Aanand, Michael Oates, Christopher Turner, and Peter Ball. "Factory eco-efficiency modelling." International Journal of Energy Sector Management 9, no. 4 (November 2, 2015): 547–64. http://dx.doi.org/10.1108/ijesm-05-2013-0004.

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Purpose – This paper reports on the experimentation of an integrated manufacturing and building model to improve energy efficiency. Traditionally, manufacturing and building-facilities engineers work independently, with their own performance objectives, methods and software support. However, with progresses in resource reduction, advances have become more challenging. Further opportunities for energy efficiency require an expansion of scope across the functional boundaries of facility, utility and manufacturing assets. Design/methodology/approach – The design of methods that provide guidance on factory modelling is inductive. The literature review outlines techniques for the simulation of energy efficiency in manufacturing, utility and facility assets. It demonstrates that detailed guidance for modelling across these domains is sparse. Therefore, five experiments are undertaken in an integrated manufacturing, utility and facility simulation software IES < VE > . These evaluate the impact of time-step granularity on the modelling of a paint shop process. Findings – Experimentation demonstrates that time-step granularity can have a significant impact on simulation model results quality. Linear deterioration in results can be assumed from time intervals of 10 minutes and beyond. Therefore, an appropriate logging interval, and time-step granularity should be chosen during the data composition process. Time-step granularity is vital factor in the modelling process, impacting the quality of simulation results produced. Practical implications – This work supports progress towards sustainable factories by understanding the impact of time-step granularity on data composition, modelling, and on the quality of simulation results. Better understanding of this granularity factor will guide engineers to use an appropriate level of data and understand the impact of the choices they are making. Originality/value – This paper reports on the use of simulation modelling tool that links manufacturing, utilities and facilities domains, enabling their joint analysis to reduce factory resource consumption. Currently, there are few available tools to link these areas together; hence, there is little or no understanding of how such combined factory analysis should be conducted to assess and reduce factory resource consumption.
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9

Lifset, Reid. "Moving Beyond Eco-efficiency." Journal of Industrial Ecology 15, no. 5 (September 19, 2011): 639–40. http://dx.doi.org/10.1111/j.1530-9290.2011.00399.x.

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10

Meyer, Rolf, and Witold-Roger Poganietz. "Eco-efficiency for sustainability." TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis 19, no. 2 (August 1, 2010): 104–7. http://dx.doi.org/10.14512/tatup.19.2.104.

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11

Gutowski, Timothy G. "The efficiency and eco-efficiency of manufacturing." International Journal of Nanomanufacturing 6, no. 1/2/3/4 (2010): 38. http://dx.doi.org/10.1504/ijnm.2010.034770.

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12

Huang, Jianhuan, Xiaoguang Yang, Gang Cheng, and Shouyang Wang. "A comprehensive eco-efficiency model and dynamics of regional eco-efficiency in China." Journal of Cleaner Production 67 (March 2014): 228–38. http://dx.doi.org/10.1016/j.jclepro.2013.12.003.

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13

Liu, Kevin Fong-Rey, Jong-Yih Kuo, Yuan-Hua Chang, and Han-Hsi Liang. "Optimization of Life Cycle Assessment-Based Eco-efficiency." International Journal of Environmental Science and Development 7, no. 3 (2016): 211–15. http://dx.doi.org/10.7763/ijesd.2016.v7.770.

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14

Hur, Tak. "Eco-Efficiency Activities in Korea." Journal of Life Cycle Assessment, Japan 1, no. 3 (2005): 185–88. http://dx.doi.org/10.3370/lca.1.185.

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15

Derwall, Jeroen, Nadja Guenster, Rob Bauer, and Kees Koedijk. "The Eco-Efficiency Premium Puzzle." Financial Analysts Journal 61, no. 2 (March 2005): 51–63. http://dx.doi.org/10.2469/faj.v61.n2.2716.

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Derwall, Jeroen, Nadja Guenster, Rob Bauer, and Kees Koedijk. "The Eco-Efficiency Premium Puzzle." CFA Digest 35, no. 3 (August 2005): 63–64. http://dx.doi.org/10.2469/dig.v35.n3.1729.

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17

Burritt, Roger, and Stefan Schaltegger. "Eco‐efficiency in corporate budgeting." Environmental Management and Health 12, no. 2 (May 2001): 158–74. http://dx.doi.org/10.1108/09566160110389924.

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18

Kerr, Wendy, and Chris Ryan. "Eco-efficiency gains from remanufacturing." Journal of Cleaner Production 9, no. 1 (February 2001): 75–81. http://dx.doi.org/10.1016/s0959-6526(00)00032-9.

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19

Sinkin, Charlene, Charlotte J. Wright, and Royce D. Burnett. "Eco-efficiency and firm value." Journal of Accounting and Public Policy 27, no. 2 (March 2008): 167–76. http://dx.doi.org/10.1016/j.jaccpubpol.2008.01.003.

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20

Huppes, Gjalt, and Masanobu Ishikawa. "Eco-efficiency and Its xsTerminology." Journal of Industrial Ecology 9, no. 4 (October 2005): 43–46. http://dx.doi.org/10.1162/108819805775247891.

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21

Levett, Roger. "Quality of Life Eco-Efficiency." Energy & Environment 15, no. 6 (November 2004): 1015–26. http://dx.doi.org/10.1260/0958305043026582.

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22

Gössling, Stefan, Paul Peeters, Jean-Paul Ceron, Ghislain Dubois, Trista Patterson, and Robert B. Richardson. "The eco-efficiency of tourism." Ecological Economics 54, no. 4 (September 2005): 417–34. http://dx.doi.org/10.1016/j.ecolecon.2004.10.006.

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23

Chen, Jin-Xiao, and Jian Chen. "Measuring and Improving Eco-efficiency." Environmental Modeling & Assessment 25, no. 3 (August 23, 2019): 373–95. http://dx.doi.org/10.1007/s10666-019-09679-5.

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24

Liu, Ta, Dong Ping Han, and Hang Zhou. "Capital Efficiency and Eco-Efficiency of Enterprise Operation." Advanced Materials Research 1073-1076 (December 2014): 2709–13. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.2709.

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Nowadays, economic system scale is continuously extendinging; it has closed to or maybe exceeding the carrying capacity of ecological system. To convert such situation, human beings have to concern about how to maximize material capital service while minimizing ecological capital consumption. One of the approaches is to turn the traditional operating model into environmental operation model, which extends the value-based management idea, explores the relationship of economic and ecological capital efficiency, establishes the ecological capital efficiency analytical system and discovers its driving factors and improving methods.
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25

Metwally, Essam. "Use Energy Efficiency, Eco-Design, and Eco-Friendly Materials to Support Eco-Tourism." Journal of Power and Energy Engineering 07, no. 12 (2019): 15–41. http://dx.doi.org/10.4236/jpee.2019.712002.

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26

Victor, Moutinho, Robaina Margarita, and Macedo Pedro. "Economic-environmental efficiency of European agriculture – a generalized maximum entropy approach." Agricultural Economics (Zemědělská ekonomika) 64, No. 10 (October 24, 2018): 423–35. http://dx.doi.org/10.17221/45/2017-agricecon.

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The study aims to estimate the agricultural economic-environmental efficiency (eco-efficiency) for European countries. Eco-efficiency is obtained by the data envelopment analysis (DEA) and stochastic frontier analysis (SFA) using a generalized maximum entropy (GME) approach. Agriculture gross value added (GVA) is considered as the desirable output and greenhouse gas (GHG) emissions as the undesirable output. Capital, labour, land, energy and nutrients are regarded as inputs. The GVA/GHG ratio is the measure of eco-efficiency. The estimation was made for the years 2005 and 2010, which correspond to the 1st year of commitment to the Kyoto Protocol and the most recent year with information concerning all the variables in the study, and is a period that can allow us to see some changes after the agreement. The results show that in 2005, Austria, Slovenia, Hungary, the Netherlands and Portugal revealed the higher levels of eco-efficiency; and countries such as Estonia, Germany, Ireland, Latvia and Slovakia are the group with the lowest levels of eco-efficiency. In 2010, Bulgaria, Finland, Greece, the Netherlands and Portugal are the group of countries with the higher levels of eco-efficiency, while Denmark, Germany, Latvia, Romania and the United Kingdom are the group with the lowest levels of eco-efficiency.
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27

Csutora, Mária. "From eco-efficiency to eco-effectiveness? The policy-performance paradox." Society and Economy 33, no. 1 (April 1, 2011): 161–81. http://dx.doi.org/10.1556/socec.33.2011.1.12.

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28

Richterová, Eva, Martin Richter, and Jozef Palkovič. "World´s 24 Biggest Agricultural Producers` Eco-Efficiency Considering Undesirable Outputs." Agris on-line Papers in Economics and Informatics 13, no. 3 (September 30, 2021): 89–100. http://dx.doi.org/10.7160/aol.2021.130309.

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There is still a lack of studies, which are comparing the eco-efficiency of the world`s biggest agricultural producers, which affect the development of agricultural policy the most, not just EU countries. Therefore, the main goal of this article is to evaluate and compare the eco-efficiency of the world`s 24 biggest agricultural producers in time and space and verifying the hypothesis that all the biggest agriculture producers are eco-efficient. Due to the improvement of technologies, we expect a positive development of agricultural eco-efficiency during the time. Eco-efficiency of the world’s 24 biggest agricultural producers is computed for the years 2007 and 2017, using an output-oriented DEA model with two undesirable outputs. Data are obtained from FAOSTAT for the years 2007 and 2017. 15 countries have an eco-effective agricultural sector in both years 2007 and 2017 and could be considered as sustainable efficient countries. On average the agricultural eco-efficiency is decreasing over time. Based on the eco-efficiency values, the biggest agricultural producers are divided into three eco-efficiency agricultural groups – eco-efficiency leaders, eco-efficiency followers, and eco-efficiency laggards. According to the results, the research hypothesis that all the biggest agriculture producers are eco-efficient is not confirmed. Likewise, in general, technology improvement during time does not lead to a positive development of agricultural eco-efficiency.
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29

Lu, Fen, Qing Zhong Ming, Hong Fang Liu, and Wen Hua Luo. "Applying Eco-Efficiency and Emergy Theory to the Quantitative Evaluation of Tourism Industry Ecologicalization." Advanced Materials Research 1010-1012 (August 2014): 2025–30. http://dx.doi.org/10.4028/www.scientific.net/amr.1010-1012.2025.

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Non-ecological phenomenon of tourism industry makes it improve eco-efficiency and sustainable development. Eco-efficiency and emergy methods are the useful instrument for eco-system, and indicate an empirical relation between environment cost and environment impact. The paper puts forward 4 steps of the tourism industry ecological evaluation by eco-efficiency and emergy analysis. They are: draw tourism industry emergy system diagram; decision research area and set up an emergy evaluation table; set up eco-efficiency index system of tourism industry; collect data and calculate the eco-efficiency of tourism industry. Finally, some questions are discussed: how does the eco-efficiency of tourism industry compare to other sectors of the national and global economy; how to improve eco-efficiency of tourism industry; can eco-efficiency assess the sustainability of tourism industry?
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30

Sadorsky, Perry. "Eco-Efficiency for the G18: Trends and Future Outlook." Sustainability 13, no. 20 (October 11, 2021): 11196. http://dx.doi.org/10.3390/su132011196.

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Eco-efficiency is an important ecological indicator for tracking the progress of how countries’ environmental-adjusted economic activity changes over time. The objective of this research is to calculate country-level eco-efficiency for a group of 18 major countries (G18) that are part of the G20. First, the data envelope analysis (DEA) method is used to calculate eco-efficiency scores. Second, the Malmquist productivity index (MPI) is used to examine how eco-efficiency changes over time. Eco-efficiency is forecast to the year 2040 using automated forecasting methods under a business-as-usual (BAU) scenario. Over the period 1997 to 2040, eco-efficiency varies widely between these countries with some countries reporting positive growth in eco-efficiency and other countries reporting negative growth. Eco-efficiency leaders over the period 1997 to 2019 and 2019 to 2040 include Australia, Brazil, France, Germany, Great Britain, Italy, Japan, Russia, and the United States. Laggards include Canada, China, India, and Indonesia. These laggard countries recorded negative growth rates in eco-efficiency over the period 1997 to 2019 and 2019 to 2040. Negative eco-efficiency growth points to a worsening of environmental sustainability. Large variations in eco-efficiency between countries make it more difficult to negotiate international agreements on energy efficiency and climate change. For the G18 countries, the average annual change in MPI over the period 1997 to 2019 was 0.5%, while the forecasted average annual change over the period 2019 to 2040 was a 0.1% decrease. For the G18 countries, there has been little change in eco-efficiency. The G18 are an important group of developed and developing countries that need to show leadership when it comes to increasing eco-efficiency.
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31

Pan, Wanbin, Lei Huang, and Linlin Zhao. "An Integrated DEA Model Allowing Decomposition of Eco-Efficiency: A Case Study of China." Journal of Systems Science and Information 5, no. 5 (October 30, 2017): 473–88. http://dx.doi.org/10.21078/jssi-2017-473-16.

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Abstract A common feature of previous studies about the application of data envelopment analysis (DEA) to determine environmental and economic efficiencies is that the two were analyzed in separate models or frameworks. The purpose of this paper is to analyze the economic efficiency and environmental efficiency with a single model. This paper proposes an integrated DEA model, based on a modification of the directional distance function, which allows us to decompose the eco-efficiency (EE) into the economic efficiency (ECE) and environmental efficiency (ENE). The ECE characterizes the ability of gaining economic benefits while the ENE characterizes the ability to control pollutant emissions in production activities. Identification of ECE and ENE can help decision makers of different regions detect what kind of factor (economic inefficiency or environmental inefficiency) is the main source of eco-inefficiency. This can help decision makers more targeted to improve EE. To illustrate the feasibility of our approach, a case study of 30 regions in China is presented. The empirical results show that almost all regions have very high economic efficiencies. The environmental inefficiency is the main source of eco-inefficiency. The differences of environmental efficiencies lead to the differences of eco-efficiencies in the east, central and west areas, while the economic efficiencies do not have significant differences among these areas. The economic efficiencies showed an opposite “V” shape and the environmental efficiencies showed a decreasing trend during the period 2010–2014.
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32

Cheng, Cui Yun, Jing Ming Ren, Ru Song Wang, and Feng Liu. "Eco-Efficiency Assessment of Farming Activity in China." Advanced Materials Research 361-363 (October 2011): 1776–79. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.1776.

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This paper estimates the eco-efficiency of farming activity at a provincial scale in China based on Data Envelopment Analysis model. The results show that provinces in central area presented relatively lower eco-efficiency, the western provinces are higher eco-efficient, while provinces in eastern provinces are low or high eco-efficiency. It also indicates that provinces with higher crop production usually have lower eco-efficiency, which proves that Chinese crop production deeply depends on resource input.
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33

Zhang, Qian, Huaxing Zhang, Dan Zhao, Baodong Cheng, Chang Yu, and Yanli Yang. "Does Urban Sprawl Inhibit Urban Eco-Efficiency? Empirical Studies of Super-Efficiency and Threshold Regression Models." Sustainability 11, no. 20 (October 11, 2019): 5598. http://dx.doi.org/10.3390/su11205598.

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With rapid urbanization in China, the phenomenon of urban sprawl has become prominent and has severely challenged sustainable urbanization and ecological civilization. Aiming to understand the impact of urban sprawl on the urban environment, this study calculates the eco-efficiency of 264 prefecture-level cities in China from 2003 to 2016 by using a super-efficiency data envelopment analysis model. Then, we establish a panel Tobit model and threshold regression model to empirically test the impact of urban sprawl on eco-efficiency and the threshold effect of the urban scale. The results show that urban sprawl hinders the improvement of urban eco-efficiency, especially in Eastern China, but relatively weak or even insignificant effects are observed in Central and Western China. Additionally, a threshold effect of urban sprawl on eco-efficiency can be found. When the city scale is small, urban sprawl seriously hinders the improvement of eco-efficiency. As the city scale gradually expands, the negative effect of urban sprawl on eco-efficiency first decreases, then the restraining effect is gradually strengthened. Our research findings can aid urban development in cities with different scales to reduce the negative effect of urban sprawl on the urban environment.
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Burchart-Korol, Dorota, and Krystyna Czaplicka-Kolarz. "Computer Applications in Eco-efficiency Assessment in Logistics." Management 17, no. 2 (December 1, 2013): 232–44. http://dx.doi.org/10.2478/manment-2013-0068.

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Abstract Computer Applications in Eco-efficiency Assessment in Logistics The goal of this study is to present computer applications in eco-efficiency assessment in Logistics based on Umberto for Ecoefficiency software. The study defines the major components of eco-efficiency analysis like: Life Cycle Assessment (LCA) and Material Flow Analysis (MFA). According to ISO 14045:2012 eco-efficiency assessment is a quantitative management tool which enables the study of life-cycle environmental impacts of a product system along with its product system value for a stakeholder. Within eco-efficiency assessment, environmental impacts are evaluated using Life Cycle Assessment (LCA). The eco-efficiency methodology is proposed with using Umberto for Eco-efficiency software. Therefore, this article presents the results of Life Cycle Assessment according to methods used in Umberto software on the case study of valuation of the different logistic possibilities. The results of this study can be used as the first step in performing a full cradle-to-grave eco-efficiency that includes all phases of the logistics system.
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Xia, Bing, Suocheng Dong, Yu Li, Zehong Li, Dongqi Sun, Wenbiao Zhang, and Wenlong Li. "Evolution Characters and Influencing Factors of Regional Eco-Efficiency in a Developing Country: Evidence from Mongolia." International Journal of Environmental Research and Public Health 18, no. 20 (October 13, 2021): 10719. http://dx.doi.org/10.3390/ijerph182010719.

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The sandstorm in 2021 in East Asia demonstrated the ecological issues that culminated for decades in Mongolia. Mongolia is facing challenges to realize green and sustainable development. This article aims to increase the understanding of eco-efficiency and its influencing factors in Mongolia and to provide a reference for similar developing countries and regions to achieve green and sustainable development. This article used the Slacks-Based Measure of Efficiency (SBM) model with advantages of dimension freedom and unit variable to estimate the economic efficiency and eco-efficiency of 22 provinces in Mongolia from 2007 to 2016; energy consumption and undesirable environmental outputs were taken as ecological/environmental indicators in the input and output system of regional eco-efficiency in Mongolia, combining traditional indicators of economic efficiency to build Mongolia’s eco-efficiency input–output framework. This article applied hot spot analysis and gravity center analysis to reveal the temporal and spatial evolution characters of eco-efficiency in Mongolia. Finally, the article applied panel Tobit regression to analyze the influencing factors of eco-efficiency. We were found that Mongolia’s eco-efficiency slightly improved from 0.7379 in 2007 to 0.7673 in 2016, lower than the economic efficiency. The high eco-efficiency provinces appeared in the capital Ulaanbaatar and its surrounding areas, showing an obvious spatial spillover effect. The low eco-efficiency provinces were mainly in the undeveloped western region. The relationship between per capita GDP and eco-efficiency was U-shaped and consistent with environmental Kuznets theory. Accelerating economic growth, optimizing population distribution, and improving energy structure and green technology can improve Mongolia’s eco-efficiency.
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Lee, Pyoungsoo, and You-Jin Park. "Eco-Efficiency Evaluation Considering Environmental Stringency." Sustainability 9, no. 4 (April 21, 2017): 661. http://dx.doi.org/10.3390/su9040661.

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37

Todorova, Ekaterina, and Savina Brankova. "Eco-Efficiency of Hazardous Waste Treatment." IARJSET 6, no. 2 (February 28, 2019): 23–26. http://dx.doi.org/10.17148/iarjset.2019.6204.

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38

Wang, Guofeng, Rui Shi, Lingchen Mi, and Jinmiao Hu. "Agricultural Eco-Efficiency: Challenges and Progress." Sustainability 14, no. 3 (January 18, 2022): 1051. http://dx.doi.org/10.3390/su14031051.

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The research on agricultural eco-efficiency has become an important point to deeply understand the interaction between ecological and environmental conditions and socio-economic factors as well as realize the coordinated development of agricultural economic development and environmental protection. (1) Background: This paper attempts to provide scientific support for the healthy and stable development of the agricultural economy and the sustainable development of ecological agriculture. (2) Methods: From a comprehensive perspective, this paper systematically analyze the overall situation, development trend, key fields, and hot fields of agricultural eco-efficiency in the past two decades. It consists of two complementary parts, including systematic quantitative literature review (based on CiteSpace) and traditional literature review. (3) Results: Agricultural eco-efficiency has evolved significantly with the popularization of agricultural machinery and the wide application of science and technology in the field of agricultural ecology. Its future development relies on the advances in our knowledge on theories and hypothesis, evaluation methods, impact on “socio-economic ecological” system, and drivers and regulation of agricultural eco-efficiency. For each of these fields, we find that challenges still exist. At present, the quantitative methods and index selection are not unified. We should deeply analyze the internal and external driving force of the development and change of ecological efficiency by constructing a complete theoretical framework for the research of agricultural ecological efficiency. At the same time, new technologies and methods are needed to evaluate agricultural eco-efficiency, and a balanced consensus between the improvement of agricultural eco-efficiency and the improvement of the ecological environment should be formed through empirical research.
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39

Zhang, Jie J., Nitin Joglekar, Janelle Heineke, and Rohit Verma. "Eco-efficiency of Service Co-production." Cornell Hospitality Quarterly 55, no. 3 (May 8, 2014): 252–64. http://dx.doi.org/10.1177/1938965514533988.

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40

Klevets, Ksenia, Alexander Dvoretsky, and Alexander Spiridonov. "Eco-efficiency of passive solar heating." E3S Web of Conferences 138 (2019): 01018. http://dx.doi.org/10.1051/e3sconf/201913801018.

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The article presents calculations of the energy efficiency of direct solar heating and sunspace, located on the building facades of various orientations, in the climatic conditions of the southern coast of Crimea. The share of compensation for heat losses due to passive solar heating has been determined. The calculation of the environmental effect of passive solar heating systems has been done.
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41

Pimenta, Handson Cláudio Dias, Reidson Pereira Gouvinhas, and Stephen Evans. "ECO-EFFICIENCY WITHIN EXTENDED SUPPLY CHAIN." HOLOS 1 (May 12, 2012): 73. http://dx.doi.org/10.15628/holos.2012.866.

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Designers make decisions that ultimately impact on both the economic and environmental performance of the products, and many of these costs and impacts occur across the supply chain. This paper proposes an initial discussion aboult eco-efficiency concepts applied within extended supply chain (ESC). Eco-efficiency (EE) has the potential to incorporate both environmental and economic improvement by companies of ESC, and we explore the use of EE in the design process. It is noteworthy that it is an imperative in the current competitive market that companies must be able to manage their entire production chain taking into account environmental issues as an important factor in their decision-making processes. Therefore, it is believed that EE can integrate and strengthen a company’s functions and assist its decision-making processes as well as implement improvements within its ESC.
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42

Moriarty, Patrick, and Stephen Wang. "Eco-Efficiency Indicators for Urban Transport." Journal of Sustainable Development of Energy, Water and Environment Systems 3, no. 2 (June 2015): 183–95. http://dx.doi.org/10.13044/j.sdewes.2015.03.0015.

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Ayres, Robert, Geraldo Ferrer, and Tania Van Leynseele. "Eco-efficiency, asset recovery and remanufacturing." European Management Journal 15, no. 5 (October 1997): 557–74. http://dx.doi.org/10.1016/s0263-2373(97)00035-2.

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Fernando, Lloyd, and Steve Evans. "Competencies to Move beyond Eco-efficiency." Procedia CIRP 40 (2016): 365–71. http://dx.doi.org/10.1016/j.procir.2016.01.069.

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Ekins, Paul. "The Price Mechanism and Eco-efficiency." Journal of Industrial Ecology 15, no. 5 (October 2011): 663–66. http://dx.doi.org/10.1111/j.1530-9290.2011.00390.x.

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Biernacki, Piotr, Sven Steinigeweg, Wilfried Paul, and Axel Brehm. "Eco-Efficiency Analysis of Biomethane Production." Industrial & Engineering Chemistry Research 53, no. 50 (December 5, 2014): 19594–99. http://dx.doi.org/10.1021/ie502800r.

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Ehrenfeld, John R. "Eco-efficiency: Philosophy, Theory, and Tools." Journal of Industrial Ecology 9, no. 4 (October 2005): 6–8. http://dx.doi.org/10.1162/108819805775248070.

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Saling, Peter. "Eco-Efficiency Analysis of biotechnological processes." Applied Microbiology and Biotechnology 68, no. 1 (April 2, 2005): 1–8. http://dx.doi.org/10.1007/s00253-005-1951-0.

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Farhaoui, M. "Eco-Efficiency of Drinking Water Treatment." International Journal of Advanced Engineering Research and Science 4, no. 4 (2017): 1–8. http://dx.doi.org/10.22161/ijaers.4.4.1.

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Cerin, Pontus, and Staffan Laestadius. "The efficiency of becoming eco‐efficient." Management of Environmental Quality: An International Journal 14, no. 2 (May 2003): 221–41. http://dx.doi.org/10.1108/14777830310470440.

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