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.

FRDC recently co-funded a cross-commodity project on Designing the integration of extension into research project (James, 2022), which sought to improve adoption of outcomes from RD&E project. At the conclusion of this report, recommendations for Phase 2 were made, and these included several focused on developing and trailing different learning approaches for knowledge transfer. Understanding learning approaches required for different topics and cohorts is an essential next step to improve practical outcomes associated with development, change, and adoption processes. This project represents an opportunity for FRDC to build on this initial investment and generate new knowledge on the connection between learning approaches and knowledge transfer to enhance the fisheries and aquaculture sector’s capability and capacity for adaptability and change.

A systematic review of the literature on the topics of adult learning, knowledge transfer, and transformational change will identify and evaluate relevant findings for the fisheries and aquaculture sector. These will be further ground-truthed through extensive stakeholder consultation within (a) wild catch organisations, (b) aquaculture organisations, and (c) through the wider industry knowledge network (e.g. extension officers and research teams). A compilation of informal and formal learning and development opportunities in fishing and aquaculture within organisations and in the wider industry will be analysed, and case studies of best practice identified, analysed and showcased as examples of successful change, adoption, skill development and shift in mindset.

These evidence-based context-specific insights will be translated into a guide, tool or micro-credential for best practice in designing and delivering knowledge transfer and practice change activities. The usefulness and ease of use of this resource will be tested in a workshop with FRDC extension professionals and other interested stakeholders, refined and then introduced to the fisheries and aquaculture community for application to learning and training in organisations and throughout the wider industry. It is expected that the findings of this project will have implications for the project Capability and capacity: Navigating leadership pathways in fishing in aquaculture, in particular insights on how learning approaches for the topic area of non-technical skills development (e.g. communication, team effectiveness, career self-management, problem-solving, strategic thinking and foresight) occur within organisations that may prove to be the start of the leadership pathway for people within fisheries and aquaculture, and if done effectively may widen and diversity the talent pipeline into mid to high leadership level development opportunities.

This project has been designed with a 12-month timeline, with options to scale down if required by FRDC.