An Integrated ecological–economic modeling framework for the sustainable management of oyster farming

Aquaculture ◽  
2015 ◽  
Vol 447 ◽  
pp. 15-22 ◽  
Author(s):  
Carrie J. Byron ◽  
Di Jin ◽  
Tracey M. Dalton
2005 ◽  
Vol 55 (4) ◽  
pp. 467-484 ◽  
Author(s):  
Christopher L. Lant ◽  
Steven E. Kraft ◽  
Jeffrey Beaulieu ◽  
David Bennett ◽  
Timothy Loftus ◽  
...  

2014 ◽  
Vol 8 ◽  
pp. 86-96 ◽  
Author(s):  
Mateo Cordier ◽  
José A. Pérez Agúndez ◽  
Walter Hecq ◽  
Bertrand Hamaide

2016 ◽  
Vol 41 (2) ◽  
pp. 256-281 ◽  
Author(s):  
Peter W. J. Batey

The aim of this article is to demonstrate how a particular modeling framework, based on extended input–output analysis, can be used to obtain a clearer understanding of the impact of regional decline of the effects of high, and rising, unemployment; of falling industrial final demand; of welfare payments; and of declining population. The activity–commodity framework used here provides a systematic way of adding demographic variables to the familiar Leontief interindustry model and the extended inverse derived from it provides a rich source of information about the interaction of demographic and economic change, expressed as demographic–economic and economic–demographic multipliers. Drawing on the author’s research in the 1980s and 1990s, this article considers two empirical examples to show the framework’s analytical value: a simple extended model is used to assess the distributional effects of welfare payments in a declining region; and a more elaborate version is linked to a set of regional labor market accounts, summarizing intercensal change in population and employment. This model is used to produce a comprehensive assessment of the effects of population and employment change in two UK regions, one a growing region (East Anglia) and the other a region in decline (Merseyside). In a final section, the benefits and limitations of the extended input–output modeling framework are discussed in comparison with some of the alternative modeling frameworks that are currently available.


1989 ◽  
Vol 1 (3) ◽  
pp. 233-249 ◽  
Author(s):  
Judith A. Maxwell ◽  
Alan Randall

2019 ◽  
Vol 10 (4) ◽  
pp. 421-438 ◽  
Author(s):  
Elco Koks ◽  
Raghav Pant ◽  
Scott Thacker ◽  
Jim W. Hall

Abstract Failure of critical national infrastructures can cause disruptions with widespread economic impacts. To analyze these economic impacts, we present an integrated modeling framework that combines: (1) geospatial information on infrastructure assets/networks and the natural hazards to which they are exposed; (2) geospatial modeling of the reliance of businesses upon infrastructure services, in order to quantify disruption to businesses locations and economic activities in the event of infrastructure failures; and (3) multiregional supply-use economic modeling to analyze wider economic impacts of disruptions to businesses. The methodology is exemplified through a case study for the United Kingdom. The study uses geospatial information on the location of electricity infrastructure assets and local industrial areas, and employs a multiregional supply-use model of the UK economy that traces the impacts of floods of different return intervals across 37 subnational regions of the UK. The results show up to a 300% increase in total economic losses when power outages are included in the risk assessment, compared to analysis that just includes the economic impacts of business interruption due to flooded business premises. This increase indicates that risk studies that do not include failure of critical infrastructures may be underestimating the total losses.


2020 ◽  
pp. 316-341
Author(s):  
Alexey Voinov ◽  
Pascal Perez ◽  
Juan Carlos Castilla-Rho ◽  
Daniel C. Kenny

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