Data

Social intel for sustainable investment decisions: datasets for a co-designed digital dashboard to support land sector sustainability investment decisions to be socially beneficial

Commonwealth Scientific and Industrial Research Organisation
Dumbrell, Nikki ; Urzedo, Danilo ; Bond, Anthelia ; Walker, Lisa ; Sworna, Zarrin Tasnim ; Robinson, Cathy
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/yjdd-hg71&rft.title=Social intel for sustainable investment decisions: datasets for a co-designed digital dashboard to support land sector sustainability investment decisions to be socially beneficial&rft.identifier=https://doi.org/10.25919/yjdd-hg71&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This collection consists of data collated and used in a digital dashboard as part of the 'Valuing local provenance and place-based economies in natural capital and low carbon markets and industries' project under the CSIRO Valuing Sustainability Future Science Platform, 2021-2025.\nDatasets include: Information about the location, carbon abatement methodologies used, expected co-benefits and government investments made in Land Restoration Fund projects and Australian Carbon Credit Unit (ACCU) Scheme projects in Queensland, Australia (as at 2023); Quantitative data describing populations, businesses, and socio-economic conditions across SA2 and SA3 areas of Queensland, Australia (data from 2021 Census and business registries); Relative frequency that regional plan documents (written by local governments, natural resource management organisations, and Indigenous organisations) refer to drivers of change and benefits they are aspiring to achieve in their future and summaries of these drivers of change and benefit aspirations. \nThe visualisation of these datasets in digital dashboard, co-designed with the Queensland Government staff administering the Land Restoration Fund, supported the identification of key socio-economic characteristics and data sets that could be used to inform investment decisions (alongside environmental datasets) where the objective is to invest in: (1) regions with high-capability, minimising delivery risk of investment; or (2) regions that offer opportunities to build capability through investment.&rft.creator=Dumbrell, Nikki &rft.creator=Urzedo, Danilo &rft.creator=Bond, Anthelia &rft.creator=Walker, Lisa &rft.creator=Sworna, Zarrin Tasnim &rft.creator=Robinson, Cathy &rft.date=2024&rft.edition=v1&rft.relation=https://doi.org/10.1071/RJ23045&rft_rights=Creative Commons Attribution-Noncommercial 4.0 Licence https://creativecommons.org/licenses/by-nc/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2024.&rft_subject=Queensland, Australia&rft_subject=socio-economic characteristics&rft_subject=land sector carbon abatement&rft_subject=Land Restoration Fund&rft_subject=ACCU Scheme&rft_subject=Digital dashboard&rft_subject=Socio-economic development&rft_subject=Development studies&rft_subject=HUMAN SOCIETY&rft_subject=Economic geography&rft_subject=Human geography&rft.type=dataset&rft.language=English Access the data

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Data is accessible online and may be reused in accordance with licence conditions

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Brief description

This collection consists of data collated and used in a digital dashboard as part of the 'Valuing local provenance and place-based economies in natural capital and low carbon markets and industries' project under the CSIRO Valuing Sustainability Future Science Platform, 2021-2025.
Datasets include: Information about the location, carbon abatement methodologies used, expected co-benefits and government investments made in Land Restoration Fund projects and Australian Carbon Credit Unit (ACCU) Scheme projects in Queensland, Australia (as at 2023); Quantitative data describing populations, businesses, and socio-economic conditions across SA2 and SA3 areas of Queensland, Australia (data from 2021 Census and business registries); Relative frequency that regional plan documents (written by local governments, natural resource management organisations, and Indigenous organisations) refer to drivers of change and benefits they are aspiring to achieve in their future and summaries of these drivers of change and benefit aspirations.
The visualisation of these datasets in digital dashboard, co-designed with the Queensland Government staff administering the Land Restoration Fund, supported the identification of key socio-economic characteristics and data sets that could be used to inform investment decisions (alongside environmental datasets) where the objective is to invest in: (1) regions with high-capability, minimising delivery risk of investment; or (2) regions that offer opportunities to build capability through investment.

Available: 2024-07-10

Data time period: 2022-09-09 to 2024-06-30