1 Introduction
2 Materials and methods
2.1 MR-GRAS for updating multiregional SUTs
3 Application
3.1 Pacific halibut case study
3.2 Preparing 3-region benchmark SUTs
Industry (\(i \in I\)) | Primary commodity produced (\(c \in C\)) | |
---|---|---|
1 | Pacific halibut fishing (AK only) | Pacific halibut landings (c1) |
2 | Other fish and shellfish fishing | Other fish and shellfish landings (c2) |
3 | Agriculture and natural resources extraction (excluding fishing) | Agriculture and natural resources (excluding fisheries resources) (c3) |
4 | Construction | Construction (c4) |
5 | Utilities | Utilities (c5) |
6 | Seafood processing | Seafood (c6) |
7 | Food manufacturing (excluding seafood) | Food (excluding seafood) (c7) |
8 | Manufacturing (excluding food manufacturing) | Manufactured goods (excluding food) (c8) |
9 | Transport | Transport (c9) |
10 | Wholesale | Wholesale (c10) |
11 | Retail | Retail (c11) |
12 | Services (including public administration) | Services (c12) |
3.3 Updating 3-region SUTs
3.4 Results
Model for 2019 | Model for 2020 | % change | |
---|---|---|---|
Pacific halibut landings [mil. USD] | 94.1 | 66.6 | − 29 |
Economic impact [mil. USD] | 325.2 | 224.1 | − 31 |
In Alaska only [mil. USD] | 188.4 | 132.3 | − 30 |
Multiplier effect - economic impact per 1 USD of Pacific halibut landings | 3.46 | 3.36 | − 3 |