Search Results - subject:"Multi Regional Input Output Model"

What accounts for the growth of carbon dioxide emissions in advanced and emerging economies? : the role of consumption, technology and global supply chain participation

Vries, Gaaitzen J. de; Ferrarini, Benno - In: Ecological economics : the transdisciplinary journal of … 132 (2017), pp. 213-223

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011783965

Are we in deep water? : water scarcity and its limits to economic growth

Distefano, Tiziano; Kelly, Scott - In: Ecological economics : the transdisciplinary journal of … 142 (2017), pp. 130-147

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011821003

The emission cost of international sourcing : using structural decomposition analysis to calculate the contribution of international sourcing to CO2-emission growth

Hoekstra, Rutger; Michel, Bernhard; Suh, Sangwon - In: Economic systems research : journal of the … 28 (2016) 2, pp. 151-167

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011525200

To RAS or not to RAS? : what is the difference in outcomes in multi-regional input-output models?

Wiebe, Kirsten S.; Lenzen, Manfred - In: Economic systems research : journal of the … 28 (2016) 3, pp. 383-402

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011525599

Analysis on CO2 emissions transferred from developed economies to China through trade

Zhang, Wencheng; Peng, Shuijun - In: China & world economy 24 (2016) 2, pp. 68-89

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011535614

Driving factors of carbon embodied in China's provincial exports

Zhang, Youguo; Tang, Zhipeng - In: Energy economics 51 (2015), pp. 445-454

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011564905

Handling uncertainty in Multi Regional Input-Output models by entropy maximization and fuzzy programming

Caggiani, Leonardo; Ottomanelli, Michele; Dell’Orco, Mauro - In: Transportation Research Part E: Logistics and … 71 (2014) C, pp. 159-172

Recently, great attention has been paid to the uncertainties associated with Multi Regional Input-Output (MRIO) models related to the available data sources. We propose a new method based on the entropy maximization principle and fuzzy optimization, which takes explicitly into account the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011077144

Temporal and spatial variations in consumption-based carbon dioxide emissions in China

Zhang, Yanxia; Wang, Haikun; Liang, Sai; Xu, Ming; Liu, … - In: Renewable and Sustainable Energy Reviews 40 (2014) C, pp. 60-68

curbing the emissions. A multi-regional input–output model is used to study the trends and disparities of consumption …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011077312

A structural decomposition analysis of the emissions embodied in trade

Xu, Yan; Dietzenbacher, Erik - In: Ecological economics : the transdisciplinary journal of … 101 (2014), pp. 10-20

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010467493

Handling uncertainty in multi regional input-output models by entropy maximization and fuzzy programming

Caggiani, Leonardo; Ottomanelli, Michele; Dell'Orco, Mauro - In: Transportation research / E : an international journal 71 (2014), pp. 159-172

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010439527