Embodied air emissions in Norway's construction sector: input-output analysis

Huang, Linyan; Bohne, Rolf André

doi:10.1080/09613218.2012.711993

Cited by 41 publications

(11 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This clearly shows that the Sri Lankan Overall, the results suggest that even though the knowledge and awareness about carbon emission are relatively low among Sri Lankan professionals, the majority of the respondents showed some knowledge in reducing OC emissions compared to EC emissions. This in line with Huang and Bohne [16], who stated that the global carbon reduction trend is still dominated by the OC emission reduction perspective.…”

Section: Global Carbon Emissionssupporting

confidence: 89%

“…some knowledge in reducing OC emissions compared to EC emissions. This in line with Huang and Bohne [16], who stated that the global carbon reduction trend is still dominated by the OC emission reduction perspective. To have a deeper understanding and cross-check their awareness regarding OC and EC emission in the construction industry, a set of statements relating to OC and EC emission were given (section II of the questionnaire) to indicate their level of agreement on them, which are seen in Table 3.…”

Section: Global Carbon Emissionssupporting

confidence: 89%

“…In 2005, the construction sector accounted for 11.7% of Ireland's national emissions and out of that, 71% were from embodied sources [15]. Huang and Bohne [16] stated that construction emissions in Norway reported a significant rise from 4.2 Mt CO 2 e in 2003 to 5.3 Mt CO 2 e in 2007. They further mentioned that a major portion of the emission was embodied emission.…”

Section: Embodied Carbon Mitigation Strategiesmentioning

confidence: 99%

See 2 more Smart Citations

Perception of Embodied Carbon Mitigation Strategies: The Case of Sri Lankan Construction Industry

2019

View full text Add to dashboard Cite

Whilst operational carbon (OC) emission reduction has received greater attention in the literature, embodied carbon (EC) emission reduction aspect has been largely neglected. This is particularly seen in developing countries. This study assessed the awareness and perception of carbon emission in general and EC emission reduction strategies in particular in the Sri Lankan construction industry. A detailed questionnaire, based on a comprehensive literature review, was developed to assess the awareness and perception of the Sri Lankan construction professionals about global carbon emissions, OC emissions, and EC emissions and carbon mitigation strategies. Based on a sample of 111 professionals in the construction sector, results revealed that the Sri Lankan construction professionals have poor awareness about carbon emission, especially about EC emission and EC mitigation strategies. The results further revealed that they are more concerned about the OC emission reduction than the EC emission reduction. The results suggest that they are basically aware of some basic/conventional mitigation strategies such as better design (low-carbon), an extension of building life and refurbishment of existing buildings and carbon tax, but their awareness of recently introduced micro-level technologies/strategies is significantly poor. Findings are a clear reflection of the current situation in many developing countries with regard to carbon emission and mitigation strategies. It was found that a major reason for low awareness was related to the culture: The majority of the respondents believed that actions to reduce carbon footprint should be initiated and handled by the government and other authorities, but not by construction professionals.

show abstract

Section: Global Carbon Emissionssupporting

confidence: 89%

Section: Global Carbon Emissionssupporting

confidence: 89%

Section: Embodied Carbon Mitigation Strategiesmentioning

confidence: 99%

See 1 more Smart Citation

Perception of Embodied Carbon Mitigation Strategies: The Case of Sri Lankan Construction Industry

2019

View full text Add to dashboard Cite

show abstract

“…IO analysis has been used to look at income distribution (Albert and Mònica, ), for socio‐economic forecasting (Kim and Hewings, ), to map population risks (Ma et al ., ) and for corporate benchmarking (Matthews and Lester, ) Input‐output analysis has also been used for policy design (Baumol and Wolff, ; De Miguel‐Velez and Perez‐Mayo, ). Some examples of using IO analysis for socio‐economic analysis include: tourism (Fletcher, ; Los and Steenge, ); specific sector contributions to the national economy, such as construction (Acquaye and Duffy, ; Huang and Bohne, ; Kofoworola and Gheewala, ; Selin, ) and consumption and waste (Dietzenbacher, ; Kerkhof et al ., ; Nakamura and Kondo, ; Xu and Zhang, ). There is also a significant history of using satellite accounts for tracking carbon emissions and ecological footprinting or environmentally extended input‐output analysis (Bin and Ang, ; Du et al ., ; Su and Ang, ; Wiedmann et al ., ) to the extent that the System of Environmental‐Economic Accounts has been established by the United Nations Statistical Commission.…”

Section: Social Indicators and The Use Of Input‐output Analysismentioning

confidence: 99%

Quantitative accounting for social economic indicators

McBain¹,

Alsamawi²

2014

Natural Resources Forum

View full text Add to dashboard Cite

In this paper we consider the evolution of quantitative accounting of social indicators for measuring societal progress and sustainable development, with particular reference to economic analysis and social indicators. We examine the use of the System of National Accounts and introduce the concept of using input-output analysis for the development of social indicators. The use of satellite accounts for input-output analysis of environmental impacts and the development of environmental footprints has been well documented. The novelty of this paper is the use of a methodology frequently used to develop environmental indicators to quantify social impacts and to further the development of social footprints. We provide a case study of the use of social satellite accounts for labour, using multi-regional input-output analysis to develop a global inequality footprint for labour embodied in trade, and argue the case for the development of a system of social economic accounts, similar to the System of Environmental-Economic Accounts adopted by the United Nations Statistical Commission in 2012. This work contributes to the development of social valuation metrics as a means for measuring societal progress and developing sustainability indicators for use in management and decision-making.

show abstract

“…First, it is one of the most carbon-intensive and resourceintensive industries in China. Both energy consumption and the production of building materials generate massive CO 2 emissions, which should be included into CO 2 emissions in the construction industry [4]. With the increasing demand for construction facilities, the huge consumption of resource and substantial CO 2 emissions highlight its importance in research field.…”

Section: Introductionmentioning

confidence: 99%

Forecasting CO₂ Emissions in China’s Construction Industry Based on the Weighted Adaboost-ENN Model and Scenario Analysis

Zhou

et al. 2019

Journal of Energy

View full text Add to dashboard Cite

As a pillar industry of national economy, China’s construction industry is still facing the status of substantial energy consumption and high CO2 emissions, which is a key field of energy conservation and emission reduction. In CO2 emissions research, it is essential to focus on analyzing the present and future trends of CO2 emissions in China’s construction industry. This article introduces a novel prediction model, in which the weighted algorithm is combined with Elman neural network (ENN) optimized by Adaptive Boosting algorithm (Adaboost) for evaluating future CO2 emissions in China’s construction industry. Firstly, logarithmic mean Divisia index (LMDI) is used to decompose CO2 emissions into economy, structural, intensity, and population indicators, posing as inputs to the weighted Adaboost-ENN model. Then, through comparison with other three models based on the data of total CO2 emissions in China’s construction industry during 2004-2016, there is evidence that the proposed model makes a favorable prediction performance. On this basis, we employ scenario analysis to predict future trend of CO2 emissions in China’s construction industry. It can be found that the peak of CO2 emissions in China’s construction industry will be achieved before 2030 in high carbon scenario (HS) and baseline carbon scenario (BS), whereas it will not be realized in low carbon scenario (LS). Finally, the specific policy recommendations related to energy conservation and emission reduction in China’s construction industry are proposed.

show abstract

Embodied air emissions in Norway's construction sector: input-output analysis

Cited by 41 publications

References 28 publications

Perception of Embodied Carbon Mitigation Strategies: The Case of Sri Lankan Construction Industry

Perception of Embodied Carbon Mitigation Strategies: The Case of Sri Lankan Construction Industry

Quantitative accounting for social economic indicators

Forecasting CO₂ Emissions in China’s Construction Industry Based on the Weighted Adaboost-ENN Model and Scenario Analysis

Contact Info

Product

Resources

About

Embodied air emissions in Norway's construction sector: input-output analysis

Cited by 41 publications

References 28 publications

Perception of Embodied Carbon Mitigation Strategies: The Case of Sri Lankan Construction Industry

Perception of Embodied Carbon Mitigation Strategies: The Case of Sri Lankan Construction Industry

Quantitative accounting for social economic indicators

Forecasting CO2 Emissions in China’s Construction Industry Based on the Weighted Adaboost-ENN Model and Scenario Analysis

Contact Info

Product

Resources

About

Forecasting CO₂ Emissions in China’s Construction Industry Based on the Weighted Adaboost-ENN Model and Scenario Analysis