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Understanding heterogeneous spatial production externalities as a missing link between land-use planning and urban economic futures

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  • Haozhi Pan
  • Tianren Yang
  • Ying Jin
  • Sandy Dall’Erba
  • Geoffrey Hewings

Abstract

Land-use planning influences economic performance as it can intervene with location-specific and heterogeneous production externalities. This paper examines the impacts of heterogeneous externalities on local employment growth using a panel model framework with block-level land-use data inventory for Chicago. Cross-industry spillovers provide positive impacts on growth, but the mechanisms behind them differ across sectors and spatial scales. Improved understanding of heterogeneity in agglomeration economies can better support plan-making and urban economic performance. The results show significant and positive influence of cross-industry spillovers, a missing consideration in existing planning processes.

Suggested Citation

  • Haozhi Pan & Tianren Yang & Ying Jin & Sandy Dall’Erba & Geoffrey Hewings, 2021. "Understanding heterogeneous spatial production externalities as a missing link between land-use planning and urban economic futures," Regional Studies, Taylor & Francis Journals, vol. 55(1), pages 90-100, January.
    • Handle: RePEc:taf:regstd:v:55:y:2021:i:1:p:90-100
    DOI: 10.1080/00343404.2019.1701186
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    Cited by:

    1. Yao, Yongling & Pan, Haozhi & Cui, Xiaoyu & Wang, Zhen, 2022. "Do compact cities have higher efficiencies of agglomeration economies? A dynamic panel model with compactness indicators," Land Use Policy, Elsevier, vol. 115(C).
    2. Pan, Haozhi & Sun, Yanhao & Wang, Manheng & Dong, Zian & Wang, Zhen & Zhang, Yina & Zhang, Xiaoling, 2024. "Rising from the ashes: Transitioning towards carbon neutrality through the pathways of circular economy agglomeration," Ecological Economics, Elsevier, vol. 219(C).
    3. Xiangxue Han & Meichen Fu & Jingheng Wang & Sijia Li, 2024. "Optimizing Territorial Spatial Structures within the Framework of Carbon Neutrality: A Case Study of Wuan," Land, MDPI, vol. 13(8), pages 1-24, July.
    4. Li, Long & Huang, Xianjin & Yang, Hong, 2023. "Optimizing land use patterns to improve the contribution of land use planning to carbon neutrality target," Land Use Policy, Elsevier, vol. 135(C).
    5. Li, Jianqi & Li, Chaosu, 2024. "Characterizing urban spatial structure through built form typologies: A new framework using clustering ensembles," Land Use Policy, Elsevier, vol. 141(C).
    6. Ling, Changlong & Niu, Xinyi & Yang, Jiawen & Zhou, Jiangping & Yang, Tianren, 2024. "Unravelling heterogeneity and dynamics of commuting efficiency: Industry-level insights into evolving efficiency gaps based on a disaggregated excess-commuting framework," Journal of Transport Geography, Elsevier, vol. 115(C).

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