Integration of an economic input-output model and a linear programming technological model for energy systems analysis

James, David E.; Musgrove, A.R. deL.; Stocks, K. J.

doi:10.1016/0140-9883(86)90034-4

Cited by 16 publications

(2 citation statements)

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“…One example for addressing resilience against disasters is to re-structure inter-industry and inter-regional trade (e.g., by choosing alternative suppliers and/or supply chains), with the aim of reducing the exposure to disasterprone or environmentally intensive commodity origins (Burch and Pritchard, 1996;Venn et al, 2006;Ash and Newth, 2007;Holloway et al, 2007;Maye et al, 2007;Kneafsey et al, 2008). Often, linear programming techniques are used for this purpose (Muller, 1973;James and Musgrove, 1986;Tamiz et al, 1998;Kondo and Nakamura, 2005;.…”

Section: Resiliencementioning

confidence: 99%

Food Systems Evaluation Methods and Sustainability Assessment

2024

Frontiers Research Topics

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Section: Resiliencementioning

confidence: 99%

Food Systems Evaluation Methods and Sustainability Assessment

2024

Frontiers Research Topics

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“…The simplicity of the conventional I-O model, however, also prevents it from addressing situations such as input and import substitutions, resource constraints (which include production bottlenecks), and price changes (Rose, 2004;Okuyama and Santos, 2014). In order to address such shortcomings in the context of managing disruptions, three alternative methods have been developed in the literature: computable general equilibrium (CGE) models (Brookshire and McKee, 1992;Rose and Guha, 2004; programming approach (James et al, 1986;Wang and Miller 1995;Hallegatte, 2008). This paper builds on the last of these three methods, and develops a new I-O linear programming approach that can be used to model the economic impact of production bottlenecks caused by disasters.…”

Section: Introductionmentioning

confidence: 98%