Fuzzy evaluation of heterogeneous quantities: Measuring urban ecological efficiency

Giordano, Paolo; Caputo, Paola; Vancheri, Alberto

doi:10.1016/j.ecolmodel.2014.06.001

Cited by 14 publications

(9 citation statements)

References 30 publications

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“…At present, the research on ecological efficiency mainly focuses on the application and measurement of ecological efficiency [20,21]. There are many indicators to measure ecological efficiency, such as carbon dioxide emission and sulfur dioxide emission.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainability Governance in China: An Analysis of Regional Ecological Efficiency

Sun

Loh

2019

Sustainability

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The Chinese government is committed to sustainability governance to alleviate the shortage of energy and the imbalance between ecological environment and economic development. This paper evaluates and analyzes the sustainability governance performance of China. A bootstrap data envelopment analysis (DEA) is proposed to evaluate sustainability governance performance of 30 provinces based on ecological efficiency in China from 1998 to 2015. The results indicate that the ecological efficiency of China significantly improved as a whole, which is related to the decline in sulfur dioxide emissions. Among these provinces, Jiangsu, Liaoning, and Inner Mongolia exhibited the highest values, while Gansu, Chongqing, and Sichuan had the lowest values. The 30 provinces were divided into four sub-areas. The average ecological efficiency of the eastern area was the highest, followed by the northeast area. Compared to the east area, northeast area, and central area, we find that west area obviously falls behind. As such, the results provide helpful guidance to improve ecological governance performance.

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Section: Literature Reviewmentioning

confidence: 99%

Sustainability Governance in China: An Analysis of Regional Ecological Efficiency

Sun

Loh

2019

Sustainability

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“…We define a set of subsystems of the urban environment that are most important to ensure the concept of sustainable development. Such subsystems may be (Acebillo, 2013;Giordano et al, 2014;Paola et al, 2016):…”

Section: Concept Of Sustainable Development Of Urban Environmentmentioning

confidence: 99%

“…6 shows an example of fuzzification of population density indicator I1 of the city with using appropriate term sets 1 1 -"low density", 1 2 -"average density", 1 3 -"high density". Each of term sets is characterized by corresponding membership function, which can be analytically defined by the following expression: Fuzzy mathematical model for estimating the efficiency indicator of urban environment as a set of Sugeno rules can be presented as (Giordano et al, 2014): The function is non-decreasing and complies with restrictions:…”

Section: Intelligent Technology For Estimating Of Sustainable Developmentioning

confidence: 99%

Intelligent Technology for Estimating of Urban Environment Quality

Patrakeyev¹,

Ziborov²,

Mikhno³

2020

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During transiting to the post-industrial era the role of cities and urban environment functions are transformed. A new type of economic system imposes new requirements to the urban environment as a space for the population life and doing business. Today, on the basis of the concept of sustainable development, a general scientific paradigm of cognition is being formed as a result of the synthesis of sciences about nature, society and man. There are many approaches to the concept of sustainable development. The most modern concept, according to the authors of the article, understands of sustainable development, which is based on laws of the conservation of energy or power, as a general law of Nature. The article proposes a comprehensive approach based on the integration of the capabilities of modern GIS and intelligent technologies for estimating the potential, real and missed opportunities of the urban environment in the context of using incomplete and fuzzy information. The application of the proposed approach to estimating the sustainable development of the urban environment on the example of Ukrainian cities is shown.

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“…Giordano et al used the fuzzy comprehensive evaluation method to measure the efficiency of the urban ecological subsystem, and finally, progressively added each subsystem to get the ecological efficiency of the whole urban system [14]. For the calculation of the multi-index input and multi-index output efficiency of different types of decision-making units, the DEA model has currently become a more widely used relative efficiency calculation model by the academic circle because it has advantages such as ensuring the integrity of the original information to the greatest extent, not needing to make the functional assumptions for variables in the comprehensive evaluation of the decision-making units with the common characteristics, and so on.…”

Section: Introductionmentioning

confidence: 99%

Urban Ecological Efficiency and Its Influencing Factors—A Case Study in Henan Province, China

Liu

Juan

et al. 2019

Sustainability

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The urban ecological civilization construction relates to welfare of the people and the national future. It is an important field of the high-quality economic development to improve the urban ecological efficiency level. The purpose of this research is to provide a new perspective and method for the quantitative study of the urban sustainable development, and also to provide some decision-making references for the improvement of the urban ecological efficiency in Henan province. This paper uses the slacks-based measure-data envelopment analysis (SBM-DEA) model containing the undesirable output and the Malmquist index model to fully evaluate the urban ecological efficiency level in Henan province during the period of 2005–2016, via both the static and dynamic analysis. Based on this, the bootstrap regression model is applied in analyzing the influencing factors of the urban ecological efficiency. The research shows three findings. First, according to the static efficiency analysis, the urban ecological efficiency in Henan province is low as a whole and has a big promotion space. Moreover, there is a significant difference in the urban ecological efficiency level among the five regions because of the different geographical locations and social and economic development situations of the cities. Second, according to the dynamic efficiency analysis, in the last 12 years, the urban ecological efficiency in Henan province has shown an overall growth trend, and the technological progress has played a major role in promoting the urban ecological efficiency in Henan province. Third, according to the influencing factor analysis, the governmental financial support hinders the improvement of the urban ecological efficiency in Henan province, while the level of opening to the outside world, the urban population density, and the urban greening level promote it.

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Fuzzy evaluation of heterogeneous quantities: Measuring urban ecological efficiency

Cited by 14 publications

References 30 publications

Sustainability Governance in China: An Analysis of Regional Ecological Efficiency

Sustainability Governance in China: An Analysis of Regional Ecological Efficiency

Intelligent Technology for Estimating of Urban Environment Quality

Urban Ecological Efficiency and Its Influencing Factors—A Case Study in Henan Province, China

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