OPERATING ENVIRONMENT AND RESOURCE MANAGEMENT UNCERTAINTY
Lengthy engagement/negotiation periods, lack of visibility, and complicated processes surrounding the Management Plan creates uncertainty for the fishers and hinders their ability to plan. DPIRD implements requirements and controls that specify how the industry operates which can impact business efficiency and cost. This is exacerbated by current market conditions. This project will undertake research to understand how to improve co-management and increased visibility of markets and trade environments driven by data and technology.
INCONSISTENT COMPLIANCE WHICH IS UNCLEAR AND DIFFICULT TO INTERPRET
Multiple layers of compliance and reporting are required (vessel, on board, catch) and are managed by different entities (DoT, AMSA, DPIRD). Processes are unclear, difficult to interpret, inconsistently applied and systems are unstable and poorly designed. This leads to difficulty to consistently meet requirements and unnecessary operating pressure for the fishers. There is a need to ework with these entities in a co-management approach to develop mutually beneficial solutions to increase efficiency for all parties. This project will undertake research to determine how digital technology can be applied to Industry compliance requirements (DoT, AMSA, DPIRD) to improve efficiencies and fishery sustainability.
TECHNOLOGY MATURITY & INDUSTRY CULTURE
There is no ongoing research into fishing technology to ensure the industry remains abreast of developments and responds accordingly. Additionally, this is a generational industry perceived to be reluctant to adopt new ways of working. Focused research will be undertaken to understand how the industry can apply technology and innovation to strengthen the industry’s position and provide the necessary training to do so.
INEFFICIENT TECHNOLOGY, PROCESSES AND KNOWLEDGE TO SUPPORT LOCAL SALES.
The 'back of boat sales' initiative creates retail challenges for fishers seeking to serve the local market effectively and efficiently. There is a need to undertake research to determine how the industry can apply digital technology to serve and engage the community more effectively while ensuring compliance to government requirements.
INDUSTRY AND COMMUNITY ENGAGEMENT
There is little community understanding of the Industry while Industry engagement is inefficient. Undertake ongoing focused research to understand how digital technology can be applied to strengthen engagement.

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.