Project number: 2022-038
Project Status:
Completed
Budget expenditure: $149,681.00
Principal Investigator: Anders Magnusson
Organisation: BDO EconSearch
Project start/end date: 18 Oct 2022 - 24 Aug 2023
Contact:
FRDC

Need

The proposed study will produce information about the supply-chain economic contribution of selected small scale fisheries in Western Australia, as well as a method that can be applied to making these estimates for other fisheries.

The proposed approach includes making three separate estimates of the supply-chain contribution of selected fisheries using three different levels of information: (1 – minimal cost) published fishery production data and a regional economic model that describes inter-regional flows using published statistical data, (2 – minimum consultation) the same as 1 but also including a workshop with key stakeholders to inform the assumptions, and (3 – maximum data) the same as 2 but also collecting primary data from businesses along the supply-chain. As such, the estimates produced for the selected fisheries using approach 3 will be of high quality and the recommended method described in the guidelines will be informed by a comparison of the cost and performance of undertaking the analysis using each level of information.

Three approaches to obtain supply chain data will be utilised and compared in this project. Below summarises the set of data sources within each approach.

Minimal cost approach
Fishery production statistics: Published production statistics (State of the Fisheries 2020/21*) or data request to DPIRD
Fishery financials and employment: Published profiles (if available) or matched fisheries (as per 2017-210)
Supply-chain flows: Analysis of regional input-output tables, taken as given
Supply-chain financials and employment: Analysis of regional input-output tables

Minimal consultation approach
Fishery production statistics: Published production statistics (State of the Fisheries 2020/21*) or data request to DPIRD
Fishery financials and employment: Published profiles (if available) or matched fisheries (as per 2017-210)
Supply-chain flows: Estimated by workshop with stakeholders, starting from input-output table estimates
Supply-chain financials and employment: Analysis of regional input-output tables

Maximum data approach
Fishery production statistics: Published production statistics (State of the Fisheries 2020/21*) or data request to DPIRD
Fishery financials and employment: Primary data
Supply-chain flows: Primary data
Supply-chain financials and employment: Primary data

* Newman, S.J., Wise, B.S., Santoro, K.G. and Gaughan, D.J. (eds) 2021, Status Reports of the Fisheries and Aquatic Resources of Western Australia 2020/21: The State of the Fisheries, Department of Primary Industries and Regional Development, Western Australia.

Key to estimating the supply-chain flows for the low-data approaches, we will apply the direct coefficients from input-output tables within our RISE models to the value of each fishery to estimate the value of each node of the supply chain for each fishery. The input-output model tells us for each dollar of sales from the fishing sector there are sales to other sectors (i.e. processing, wholesale trade, retail trade, food services). Subsequently, those sectors also have sales to other sectors. By applying these coefficients in sequence we can estimate the value of each node of the supply chain. Data for input-output models are held by BDO and ultimately sourced from publications by ABS, RBA, ATO and other public organisations.

Under the minimal consultation approach, we will refine the supply-chain map developed under the minimal cost approach by eliciting judgement by key stakeholders. These stakeholders will have an idea of the size of the supply chain nodes and will be able to confirm or adjust the values according to their knowledge.

Under the maximum data approach, we will interview businesses along the supply chain in order to collect data to value each supply chain node. We will elicit the value of each business and the number and size of businesses at each node. Information on the number and approximate size of businesses at each supply chain node will be sought from industry participants at the workshop. Contact details for businesses willing to be involved in the interview process with also be sought at the workshop.

Objectives

1. To recommend a method to map and value the supply chain of small scale fisheries in WA and to estimate the economic contribution at each node of the supply chain, including options for addressing gaps in data availability.
2. To develop an extension to the Australian Fisheries and Aquaculture Industry 2017/18 Practitioner Guidelines, for assessing supply chains and economic contributions of small-scale fisheries.

Final report

ISBN: 978-0-6458962-0-6
Author: BDO EconSearch
Final Report • 2023-09-01 • 1.62 MB
2022-038-DLD.pdf

Summary

This study aimed to produce information about the economic contribution of the supply chain of selected small-scale fisheries in Western Australia (WA), as well as a method that can be applied to making these estimates for other fisheries. Substantial research has been completed to estimate the economic contribution of commercial fisheries to Australia and its regional communities, and to produce guidelines that practitioners can apply to update and regionalise these estimates. However, past research has largely focused on the ‘upstream’ activity (the flow-on effects from commercial fishing from expenditure on inputs to fishing and expenditure of income derived from fishing). Little work has been done to describe the ‘downstream’ activity (what happens to the seafood product throughout the supply chain after it has been landed, that is, as the product moves from the point of landing to final consumers), the focus of this study. This study makes three separate estimates of the economic contribution of a selection of case study fishery supply chains using three different levels of information. It then compares the sets of results for each case study to make conclusions about the quality versus cost of the approaches. 

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