2000
DOI: 10.1080/02690940050174238
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The Use of Input-Output Models in Local Impact Analysis

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Cited by 4 publications
(5 citation statements)
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“…Multi-sector demanddriven modelling approaches using published IO matrices are widely deployed in assessing potential local/regional economy impacts of a range of activities and initiatives (e.g. see Bishop et al, 2000;Crawley and Munday, 2017;Gibb and Keoghan, 1998;Jones and Munday, 2004, in this journal). Moreover, they have already been applied on an international stage in making the economic and socio-economic case for CCS in nations such as China, the Netherlands, Norway, US and the UK (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…Multi-sector demanddriven modelling approaches using published IO matrices are widely deployed in assessing potential local/regional economy impacts of a range of activities and initiatives (e.g. see Bishop et al, 2000;Crawley and Munday, 2017;Gibb and Keoghan, 1998;Jones and Munday, 2004, in this journal). Moreover, they have already been applied on an international stage in making the economic and socio-economic case for CCS in nations such as China, the Netherlands, Norway, US and the UK (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…In a study about the Devonport Dockyard, Bishop () concluded that “local supply linkages were important but primarily involved services.” Several years later, Bishop et al . () would set up an IOM to exactly measure those linkages. Asteris et al .…”
Section: Input–output Modelsmentioning
confidence: 99%
“…Second, even if IOMs are often considered to be the models , they clearly do not account very well for business links and networks, i.e., technological and nonpecuniary externalities, “that may be of economic significance, such as the transmission of knowledge and informal cooperation” (Bishop et al ., ), the latter of which is related to the difficulty of incorporating technical progress in the model with changes in the technical coefficients. Moreover, in IOMs, pecuniary externalities are not considered.…”
Section: Input–output Modelsmentioning
confidence: 99%
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“…We conduct a structural impact analysis using an updated input-output matrix for the state of Mato Grosso do Sul in 2021 prices. Following Bishop and Brand (2000) and Batey (1992), we identify the primary transportation infrastructure projects that connect the existing transport infrastructure to LAIR. The total values of these projects were utilized to construct a disbursement curve within an S-curve framework, thus avoiding the unrealistic assumption of a single disbursement over time.…”
Section: Methodsmentioning
confidence: 99%