Disaggregating input–output tables in time: the temporal input–output framework

Avelino, André Fernandes Tomon

doi:10.1080/09535314.2017.1290587

Cited by 29 publications

(15 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A solution for the former issue is to rely on intrayear IO tables that better reflect the industrial relationships at the time of the disaster. As shown by Avelino (2017), highly seasonal sectors such as agriculture and services exhibit significantly different linkages across quarters, which cannot be captured using annual tables.…”

Section: Discussionmentioning

confidence: 99%

“…Finally, another important factor that has not been considered in any of the available models in the literature is the role of seasonality in the economic structure. Intrayear fluctuations in production capacity have a significant impact on the magnitude and extension of the impacts by affecting inventory levels and the sectoral adaptive response (Avelino, 2017). Given the transient nature of natural disasters, "timing" plays a significant role in the amount of flow losses and affects both recovery paths and industrial interdependence.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)

Avelino

Dall’erba

2018

Risk Analysis

Self Cite

View full text Add to dashboard Cite

Due to the concentration of assets in disaster-prone zones, changes in risk landscape and in the intensity of natural events, property losses have increased considerably in recent decades. While measuring these stock damages is common practice in the literature, the assessment of economic ripple effects due to business interruption is still limited and available estimates tend to vary significantly across models. This article focuses on the most popular single-region input-output models for disaster impact evaluation. It starts with the traditional Leontief model and then compares its assumptions and results with more complex methodologies (rebalancing algorithms, the sequential interindustry model, the dynamic inoperability input-output model, and its inventory counterpart). While the estimated losses vary across models, all the figures are based on the same event, the 2007 Chehalis River flood that impacted three rural counties in Washington State. Given that the large majority of floods take place in rural areas, this article gives the practitioner a thorough review of how future events can be assessed and guidance on model selection.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)

Avelino

Dall’erba

2018

Risk Analysis

Self Cite

View full text Add to dashboard Cite

show abstract

“…The required information in expression (2) is not available; thus, there is no previous literature that builds MRIO models from a seasonal perspective. An interesting initial approach analyses the quarterly impact of production in Brazil 38 , using estimated input-output tables with quarterly national accounting data. However, this approach is not developed in a MRIO framework and for an environmental implementation.…”

Section: Ii1 Mrio Model and Seasonal Mrio Modelsmentioning

confidence: 99%

Is Seasonal Households’ Consumption Good for the Nexus Carbon/Water Footprint? The Spanish Fruits and Vegetables Case

Gómez

Santiago

Cadarso

et al. 2018

Environ. Sci. Technol.

View full text Add to dashboard Cite

Proximity and in-season consumption criteria have been suggested as solutions for fruits and vegetables consumers to drive the economy to a more sustainable development. Using a new concept, seasonal avoided footprint by imports, we disentangle the role of period and country of origin. Although, as a general rule, consumers could reduce its footprint by choosing domestic produce, this is not always the case. Due to the high efficiency of Spanish domestic production in terms of both CO2e and water use (except for scarce water), imports from some regions, like Africa (green beans, pepper, tomato, banana, strawberry, oranges), contribute to significantly increase both water and carbon impacts. However, a monthly-basis analysis shows unsustainable hotspots for domestic production. Importing from France (apple, potato) or Portugal (tomato, strawberry) reduces both footprints, so Spanish local consumption would be bad for the environment. Hotspots are mainly concentrated in scarce water and, especially, for out-of-season vegetables during eleven months a year (savings up to 389%), nine months for out-of-season fruits and five months for in-season fruits. The results suggest the difficulty to generalize an easy environmental recommendation based on buying local fruits and vegetables: consumption must be analyzed on monthly/seasonal, products and countries basis.

show abstract

“…It also does not provide insight into the immediate subregional and sectoral effects of a natural hazard-related catastrophe on a specific place of a given economy. Avelino (2017) and Avelino and Hewings (2017) provide a broad discussion of the temporal implications in the impact evaluation.…”

Section: Introductionmentioning

confidence: 99%

An Input–Output Ex Ante Regional Model to Assess the Short-Term Net Effects of the 16 April 2016 Earthquake in Ecuador

Salgado

Ramírez-Álvarez

Mancheno

2021

Int J Disaster Risk Sci

View full text Add to dashboard Cite

The 16 April 2016 earthquake in Ecuador exposed the significant weaknesses concerning the methodological designs to compute—from an economic standpoint—the consequences of a natural hazard-related disaster for productive exchanges and the accumulation of capital in Ecuador. This study addressed one of these challenges with an innovative ex ante model to measure the partial and net short-term effects of a natural hazard-related catastrophe from an interregional perspective, with the 16 April 2016 earthquake serving as a case study. In general, the specified and estimated model follows the approach of the extended Miyazawa model, which endogenizes consumption demand in a standard input–output model with the subnational interrelations and resulting multipliers. Due to the country’s limitations in its regional account records the input–output matrices for each province of Ecuador had to be estimated, which then allowed transactions carried out between any two sectors within or outside a given province to be identified by means of the RAS method. The estimations provide evidence that the net short-term impact on the national accounts was not significant, and under some of the simulated scenarios, based on the official information with respect to earthquake management, the impact may even have had a positive effect on the growth of the national product during 2016.

show abstract

Disaggregating input–output tables in time: the temporal input–output framework

Cited by 29 publications

References 33 publications

Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)

Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)

Is Seasonal Households’ Consumption Good for the Nexus Carbon/Water Footprint? The Spanish Fruits and Vegetables Case

An Input–Output Ex Ante Regional Model to Assess the Short-Term Net Effects of the 16 April 2016 Earthquake in Ecuador

Contact Info

Product

Resources

About