Regional demographic and economic challenges for sustaining growth in Northern Australia

Taylor, Andrew; Thurmer, James; Karácsonyi, Dávid

doi:10.1080/21681376.2022.2082316

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…It asserts that the spatial clustering of populations fosters overall regional economic advancement [1]. However, perspectives from sociologists and environmentalists caution against excessive population concentration, highlighting the potential emergence of social predicaments and impediments to regional economic progress [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Community-Scale Classification and Governance Policy Implications for Demographic, Economic, and Land-Use Linkages in Mega-Cities

Mao,

Fan,

Zhou

et al. 2024

Land

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Analyzing the spatio-temporal relationship between socio-economics and land-use structure at the micro-scale is crucial for effective spatial governance in large cities. This paper focuses on Beijing, utilizing long time-series remote sensing images and multi-source data spanning 30 years. We employ spatio-temporal clustering based on kilometer grid cells and a community-scale multi-factor aggregation method to categorize the linkages and spatio-temporal matching of population, GDP, land development, and ecological protection at the community level in a problem-oriented approach. Results indicate significant changes in Beijing’s population, GDP, and land use, with a 11.53% increase in land development intensity. We identify significant temporal and spatial disparities between population–GDP dynamics, population–land development trends, and GDP–land development patterns, underscoring the multifaceted challenges inherent in urban governance. Areas characterized by lagging population concentration, sluggish economic growth, rampant land development, and ecological fragility collectively encapsulate notable portions of Beijing’s expansive urban terrain. Mismatches pose governance risks, with medium to high-risk communities comprising 18.08% of community units and high-risk types representing 4.27% in Beijing. These discrepancies pose formidable governance risks, with communities ranging from moderate to high-risk categories, necessitating tailored interventions to address their unique challenges. This systematic exploration of comprehensive governance issues within mega-cities promises to furnish decision-makers with invaluable insights, facilitating nuanced and strategic urban governance approaches tailored to the intricacies of urban dynamics and challenges.

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Section: Introductionmentioning

confidence: 99%

Community-Scale Classification and Governance Policy Implications for Demographic, Economic, and Land-Use Linkages in Mega-Cities

Mao,

Fan,

Zhou

et al. 2024

Land

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Application of P-TOPALS for Smoothing Input Data for Population Projections ‘At the Edge’

Dyrting,

Taylor,

Wilson

2024

Popul Res Policy Rev

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Sparsely populated areas of developed countries are regions of great demographic diversity and dynamism. While they remain strategically and economically important, trends in urbanization and technology have increased their relative sparsity and isolation making centralized government, service delivery and planning a challenge. Populations of their sub-jurisdictions are small and often exhibit significant heterogeneity in key demographic characteristics, not least between their Indigenous first residents and non-Indigenous citizens. Development of projection models for these areas is challenged by significant input data paucity, biases and structural issues related to the data collection and estimation architectures in place to gather input data across diverse and small populations. While this is the case, the demand for and importance of projections is no less for sparsely populated areas than elsewhere. Variants of the cohort component model are important tools for population projections for SPAs, with their grounding in the demographic accounting equation and modest input requirements. Nevertheless, to attain fit-for-purpose input data requires demographers to consider and select from a growing number of methods for smoothing issues with input data for projections for these regions. In this article we analyze the contributions of recent advances in methods for estimating fertility, mortality, and migration rates for small and diverse populations such as those in SPAs, focusing on the very sparsely populated jurisdiction of the Northern Territory of Australia. In addition to the contributions of our method itself, results at the detailed level demonstrate how abnormal and challenging ‘doing’ projections for sparsely populated areas can be.

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Long-Term Hierarchic Changes in Settlement Systems at Geographic ‘Edges’

Karácsonyi,

Taylor

2024

Australian Geographer

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Regional demographic and economic challenges for sustaining growth in Northern Australia

Cited by 3 publications

References 41 publications

Community-Scale Classification and Governance Policy Implications for Demographic, Economic, and Land-Use Linkages in Mega-Cities

Community-Scale Classification and Governance Policy Implications for Demographic, Economic, and Land-Use Linkages in Mega-Cities

Application of P-TOPALS for Smoothing Input Data for Population Projections ‘At the Edge’

Long-Term Hierarchic Changes in Settlement Systems at Geographic ‘Edges’

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