From conceptualization to practice: enhancing economic resilience at the local government level in Australia

Article

Singh-Peterson, Lila, Kassulke, Anna and Raj, Nawin. 2024. "From conceptualization to practice: enhancing economic resilience at the local government level in Australia." Journal of Environmental Policy and Planning. 26 (3), pp. 295-310. https://doi.org/https://doi.org/10.1080/1523908X.2024.2334709
Article Title

From conceptualization to practice: enhancing economic resilience at the local government level in Australia

ERA Journal ID30547
Article CategoryArticle
AuthorsSingh-Peterson, Lila, Kassulke, Anna and Raj, Nawin
Journal TitleJournal of Environmental Policy and Planning
Journal Citation26 (3), pp. 295-310
Number of Pages16
Year2024
PublisherTaylor & Francis
Place of PublicationUnited Kingdom
ISSN1522-7200
1523-908X
Digital Object Identifier (DOI)https://doi.org/https://doi.org/10.1080/1523908X.2024.2334709
Web Address (URL)https://www.tandfonline.com/doi/full/10.1080/1523908X.2024.2334709
Abstract

Seven principles of resilience developed by Stockholm Resilience Centre were adopted as a central framework from which practical objectives were identified to support local government organizations, and small local businesses to enhance their level of resilience to natural disasters. Discussions and interviews with local government executives from four coastal, local governments in Australia were undertaken to refine each economic development objectives to ensure utility and relevance. The final suite of practical objectives aims to respond to socio-ecological system features such as slow and fast variables, feedbacks and thresholds that create climate risks for businesses, and consider the sector and individual businesses’ learning capacity, participation and self-organization. We consider that these important objectives provide a pathway that enable small businesses, central to the local economic sector to self-assess their risks,and develop longer term adaptive and transformative strategies beyond preparedness and recovery. The significance of this research is in its ability to translate and anchor conceptual understandings of socio-ecological systems and resilience theory into a set of practical and useful objectives for local governments and small businesses to combat their vulnerability to natural disasters.

Keywordseconomic development; climate change; natural disasters; local government
Article Publishing Charge (APC) FundingResearcher
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020410103. Human impacts of climate change and human adaptation
440799. Policy and administration not elsewhere classified
Byline AffiliationsSchool of Agriculture and Environmental Science
Centre for Heritage and Culture
Independent Researcher, Australia
School of Mathematics, Physics and Computing
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Particle and particle-like solitary wave dynamics in fluid media
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Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
Ahmed, A. A. Masrur, Deo, Ravinesh C., Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data." Remote Sensing. 13 (4), pp. 1-30. https://doi.org/10.3390/rs13040554
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Raj, Nawin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios." Stochastic Environmental Research and Risk Assessment. 35, pp. 1851-1881. https://doi.org/10.1007/s00477-021-01969-3
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350
An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for significant wave height forecasting along coastal areas of Queensland, Australia
Raj, Nawin and Brown, Jason. 2021. "An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for significant wave height forecasting along coastal areas of Queensland, Australia." Remote Sensing. 13 (8), pp. 1-20. https://doi.org/10.3390/rs13081456
Design of Alkali-Activated Slag-Fly Ash Concrete Mixtures Using Machine Learning
Gunasekara, C., Lokuge, W., Keskic, M., Raj, N., Law, D. W. and Setunge, S.. 2020. "Design of Alkali-Activated Slag-Fly Ash Concrete Mixtures Using Machine Learning." ACI Materials Journal. 117 (5), pp. 263-278. https://doi.org/10.14359/51727019
Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra, Parisi, Alfio and Raj, Nawin. 2020. "Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks." IEEE Access. 8, pp. 209503-209516. https://doi.org/10.1109/ACCESS.2020.3039002
Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji." Stochastic Environmental Research and Risk Assessment. 35 (7), pp. 1387-1402. https://doi.org/10.1007/s00477-020-01899-6
Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network
Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517
Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247
Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms." Applied Energy. 253, pp. 1-20. https://doi.org/10.1016/j.apenergy.2019.113541
Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction." Energies. 12 (12), pp. 1-42. https://doi.org/10.3390/en12122407
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158
Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model
Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J. and Raj, Nawin. 2018. "Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 328-359
Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C. and Adamowski, Jan F.. 2018. "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region." Atmospheric Research. 212, pp. 130-149. https://doi.org/10.1016/j.atmosres.2018.05.012
Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2018. "Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities." Remote Sensing of Environment: an interdisciplinary journal. 212, pp. 176-198. https://doi.org/10.1016/j.rse.2018.05.003
Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation
Obregon, Maria, Raj, Nawin and Stepanyants, Yury. 2018. "Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation." Chaos: an interdisciplinary journal of nonlinear science. 28 (3), pp. 1-11. https://doi.org/10.1063/1.5021864
Adiabatic decay of internal solitons in a rotating ocean
Obregon, M. A., Raj, N. and Stepanyants, Y. A.. 2016. "Adiabatic decay of internal solitons in a rotating ocean." 20th Australasian Fluid Mechanics Conference (AFMC 2016). Perth, Australia 05 - 08 Dec 2016 Australia.
Supporting a Diverse and Sustainable Fruit Industry in Tonga
Singh-Peterson, Lila, Halavatau, Siosiua and Underhill, Steven. 2015. Supporting a Diverse and Sustainable Fruit Industry in Tonga. Sunshine Coast, Australia. University of the Sunshine Coast.
An assessment of community disaster resilience for small, high-risk communities on the Sunshine Coast, Qld
Singh-Peterson, Lila, Salmon, Paul, Goode, Natassia and Gallina, John. 2015. "An assessment of community disaster resilience for small, high-risk communities on the Sunshine Coast, Qld." The Australian Journal of Emergency Management. 30 (1), pp. 35-40.
The Changing Face of Mary documentary
Singh-Peterson, ila, Smit, Sondra, Lawrence, Geoff and Carter, Bill. 2015. The Changing Face of Mary documentary. Sippy Downs, Australia.
Nonlinear vector waves of a flexural mode in a chain model of atomic particles
Nikitenkova, S. P., Raj, N. and Stepanyants, Y. A.. 2015. "Nonlinear vector waves of a flexural mode in a chain model of atomic particles." Communications in Nonlinear Science and Numerical Simulation. 20 (3), pp. 731-742. https://doi.org/10.1016/j.cnsns.2014.05.031
ACIAR Final Report Supporting a diverse and sustainable fruit tree industry in Tonga HORT/2014/090
Underhill, Steven, Singh-Peterson, Lila, Na'ati, Elisiva and Halavatau, Siosiua. 2014. ACIAR Final Report Supporting a diverse and sustainable fruit tree industry in Tonga HORT/2014/090. Sunshine Coast, Australia. University of the Sunshine Coast.
Re-framing community disaster resilience: from a systems perspective: Sunshine Coast case study report
Singh-Peterson, L., Baldwin, C., Dickinson, M, Bohnen, S., Woolcock, G., Malcom, F., Salmon, P., Goode, N. and Gallina, J.. 2014. Re-framing community disaster resilience: from a systems perspective: Sunshine Coast case study report. Sippy downs, Australia. University of the Sunshine Coast.
Nonlinear spectra of shallow water waves
Giovanangeli, J. -P., Kharif, C., Raj, N. and Stepanyants, Y.. 2013. "Nonlinear spectra of shallow water waves." Oceans - San Diego, 2013. San Diego, United States 23 - 26 Sep 2013 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.23919/OCEANS.2013.6741132
Numerical study of nonlinear wave processes by means of discrete chain models
Obregon, M., Raj, N. and Stepanyants, Y.. 2012. "Numerical study of nonlinear wave processes by means of discrete chain models." Gu, Y. T. and Saha, Suvash C. (ed.) 4th International Conference on Computational Methods (ICCM 2012). Gold Coast, Australia 25 - 28 Nov 2012 Brisbane, Australia.
Controversies in Local Economic Development: Stories, Strategies, Solutions by Martin Perry
Singh-Peterson, Lila. 2011. "Controversies in Local Economic Development: Stories, Strategies, Solutions by Martin Perry." Journal of Economic and Social Policy. 14 (3).