Accounting for land-use efficiency and temporal variations between brownfield remediation alternatives in life-cycle assessment

Beames, Alistair; Broekx, Steven; Heijungs, Reinout; Lookman, Richard; Boonen, Katrien; Geert, Yannick Van; Dendoncker, Kris; Seuntjens, Piet

doi:10.1016/j.jclepro.2015.03.073

Cited by 50 publications

(19 citation statements)

References 28 publications

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“…Studies evaluating eco-efficiency have attracted much attention. Methods for measuring eco-efficiency include the indexes system method [14], stochastic frontier analysis (SFA) [15], life-cycle assessment [16], and data envelopment analysis (DEA). Among the above methods, the DEA method is the most common method.…”

Section: The Measurement Of Eco-efficiencymentioning

confidence: 99%

The Double-Edged Sword of Urbanization and Its Nexus with Eco-Efficiency in China

Xue

Draz

et al. 2020

IJERPH

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Urbanization has made tremendous contributions to China’s economic development since its economic reforms and opening up. At the same time, population agglomeration has aggravated environmental pollution and posed serious challenges to China’s environment. This article empirically investigates the impacts of China’s urbanization on eco-efficiency, comprehensively reflecting economic growth, resource input, and waste discharge. We first measured the provincial eco-efficiency in China from 2005 to 2015 using the Super Slack-Based model (Super-SBM). We then constructed a spatial model to empirically analyze the effects of urbanization on eco-efficiency at the national level, and at four regional levels. The results indicated that the regional eco-efficiency in China has fluctuated, but is generally improving, and that a gap between regions was evident, with a trend toward further gap expansion. We observed an effect of spatial spillover in eco-efficiency, which was significant and positive for the whole country, except for the western region. The influence of urbanization on China’s eco-efficiency exhibited a U-curve relationship. The changing trend in the eastern, central, and western regions was the same as that in the whole country; however, the trend exhibited an inverted U-curve relationship in the northeastern region. To the best of our knowledge, covering a time period of 2005–2015, this article is the first of its kind to study the impact of urbanization on eco-efficiency in China at both the national and regional levels. This study may help policy-makers to create sustainable policies that could be helpful in balancing urbanization and the ecological environment.

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Section: The Measurement Of Eco-efficiencymentioning

confidence: 99%

The Double-Edged Sword of Urbanization and Its Nexus with Eco-Efficiency in China

Xue

Draz

et al. 2020

IJERPH

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“…In most cases, SAL considers BFR decision-making processes at 2 different scales. At the local-site scale, DST are often designed to select the most appropriate remedial technology (Carlon et al 2007;Critto and Agostini 2009;Li et al 2010;Sorvari and Seppälä 2010;Beames et al 2015;Chen et al 2016;Song et al 2018). At the regional scale, the goal is to set priorities for the redevelopment of a portfolio of contaminated sites.…”

Section: Sustainability Assessment Literature (Sal)mentioning

confidence: 99%

The Contribution of Economic Science to Brownfield Redevelopment: A Review

Ameller

Rinaudo²,

Merly³

2020

Integr Envir Assess & Manag

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Urban planners increasingly perceive Brownfield redevelopment (BFR) as a strategic priority. BFR not only allows suppressing some of the nuisances caused by derelict and contaminated lands, it also contributes to revitalizing dense urban areas and preventing the undesired effects of urban sprawl. This literature review analyzes how economists have contributed to removing some of the barriers that prevent or restrict BFR. A first contribution was to demonstrate the economic benefits of BFR. Economists also contributed to the development of multidisciplinary decision support tools used to rank BFR projects in terms of long‐term sustainability and social welfare. They contributed to the design of institutional arrangements, including regulatory and economic instruments, that can facilitate the engagement of stakeholders in BFR projects. Our literature search combines the use of a standard and a systematic literature review to identify relevant papers scattered in very diverse publications. We show that there is significant scope for better integration of economic analysis within the multidisciplinary mainstream of BFR literature and provide pathways for future research. Integr Environ Assess Manag 2020;16:184–196. © 2019 SETAC

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“…The evaluation index system of LUE is shown in Table 1 According to a survey of related scholars, rural domestic sewage emissions per capita and rural domestic garbage per capita in Chongqing City are 0.67 L·d −1 and 0.67 kg·d −1 , respectively. The test results of Chongqing Environmental Monitoring Center provide values for COD, BOD 5 , TN, and TP of 292.69 mg·L −1 , 138.33 mg·L −1 , 44.14 mg·L −1 , and 4.49 mg·L −1 , respectively, and the export coefficient was 0.30 for the domestic sewage emissions. In the case of the domestic garbage emissions, COD, BOD 5 , TN, and TP were determined as 50.00 mg·kg −1 , 5.00 mg·kg −1 , 1.00 mg·kg −1 , and 0.2 mg·kg −1 , respectively, in reference to landfill leachate, and the export coefficient was 0.20 [23,24].…”

Section: Data Sourcementioning

confidence: 99%

“…The test results of Chongqing Environmental Monitoring Center provide values for COD, BOD 5 , TN, and TP of 292.69 mg·L −1 , 138.33 mg·L −1 , 44.14 mg·L −1 , and 4.49 mg·L −1 , respectively, and the export coefficient was 0.30 for the domestic sewage emissions. In the case of the domestic garbage emissions, COD, BOD 5 , TN, and TP were determined as 50.00 mg·kg −1 , 5.00 mg·kg −1 , 1.00 mg·kg −1 , and 0.2 mg·kg −1 , respectively, in reference to landfill leachate, and the export coefficient was 0.20 [23,24]. Non-point source pollution and other indicators of emissions with reference to Chen et al are calculated using the list analysis; the specific formula is as follows [25]:…”

Section: Data Sourcementioning

confidence: 99%

“…To realize sustainable development in rural production, it is necessary to improve land resource utilization efficiency and effectively control the non-point source pollution caused during rural development by focusing on the transformation of rural industry's development mode. However, it is imperative to understand the status of rural space land utilization efficiency [5,6]. Scientific measurement of China's rural LUE is important for regional governments to solve the challenges associated with rural development and coordinated development of land resources, the environment, and optimizing regional rural space.…”

Section: Introductionmentioning

confidence: 99%

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Land Use Efficiency and Total Factor Productivity—Distribution Dynamic Evolution of Rural Living Space in Chongqing, China

Hong

Xie

et al. 2017

Sustainability

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Abstract:Research on the land use efficiency of rural living spaces is at the core of conflicts about current rural land use and ecological environment construction in China. It can be effectively dealt with through the rational and healthy use of rural land, by promoting sustainable development and urban and rural coordination. Building on the foundation of ecosystem metabolism and sustainable development theories, this paper utilizes the Data Envelopment Analysis (DEA) Malmquist productivity index to divide the land use efficiency total factor productivity (LUTFP) into Malmquist-Luenberger technical change (MLTECH) and Malmquist-Luenberger efficiency change (MLEFFCH) from the perspective of scale change, and uses Kernel Function to measure and study the distribution characteristics of the dynamic evolution and land use efficiency (LUE) in different functional and productive areas and living space subsystem. The results show that, in the process of land use, desirable output growth in the Chongqing city rural living space is lower than the undesirable output reduction rate. Rural human settlement and construction management appears to damage the environment. The LUE in the obtained results showcases an obvious agglomeration effect in Chongqing. Also, there is a very significant "match-up" effect between the LUE and economic development level. In addition, the paper also finds that the technical change index and efficiency change index work together in rural living space LUTFP. The results presented in this paper can provide a basis for the optimization of regional development strategies and rural land utilization.

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Accounting for land-use efficiency and temporal variations between brownfield remediation alternatives in life-cycle assessment

Cited by 50 publications

References 28 publications

The Double-Edged Sword of Urbanization and Its Nexus with Eco-Efficiency in China

The Double-Edged Sword of Urbanization and Its Nexus with Eco-Efficiency in China

The Contribution of Economic Science to Brownfield Redevelopment: A Review

Land Use Efficiency and Total Factor Productivity—Distribution Dynamic Evolution of Rural Living Space in Chongqing, China

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