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Assessing Carbon Emissions’ Impact on Drought in China’s Arid Regions: Cross-Lagged and Spatial Models

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  • Guangyu Zhai

    (Department of Management Science and Engineering, School of Economics and Management, Lanzhou University of Technology, Pengjiaping Campus, Lanzhou 730051, China)

  • Tianxu Chu

    (Department of Management Science and Engineering, School of Economics and Management, Lanzhou University of Technology, Pengjiaping Campus, Lanzhou 730051, China)

Abstract

Global warming is projected to intensify the impact of droughts. Although numerous studies have examined carbon emissions and droughts, few have explored their interactive effects or the spatial spillover effects of carbon emissions on droughts. To address this gap, we use panel data from 2012 to 2021 for China’s arid, semi-arid, and potentially semi-arid regions in the future. First, we estimate city-level carbon emissions data for the study areas based on nighttime light data. We then apply a Random Intercept Cross-Lagged Panel Model to investigate the temporal causal relationship between carbon emissions and droughts. Finally, we employ a dynamic spatial Durbin model with spatial and temporal fixed effects, incorporating one-period-lagged carbon emissions to assess both direct and spatial spillover effects on droughts. The results show that carbon emissions have a statistically significant cross-temporal and spatial impact on droughts, with both current and one-period-lagged carbon emissions exhibiting substantial spatial spillover effects on drought conditions. This research offers valuable insights for cities seeking collaborative approaches to mitigate both carbon emissions and drought risks.

Suggested Citation

  • Guangyu Zhai & Tianxu Chu, 2025. "Assessing Carbon Emissions’ Impact on Drought in China’s Arid Regions: Cross-Lagged and Spatial Models," Sustainability, MDPI, vol. 17(5), pages 1-26, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:1891-:d:1597876
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    References listed on IDEAS

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    1. J. Paul Elhorst & Sandy Fréret, 2009. "Evidence Of Political Yardstick Competition In France Using A Two‐Regime Spatial Durbin Model With Fixed Effects," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 931-951, December.
    2. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    3. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    4. J. Paul Elhorst, 2014. "Spatial Econometrics," SpringerBriefs in Regional Science, Springer, edition 127, number 978-3-642-40340-8, February.
    5. Ma, Xinru & He, Jingbin, 2023. "Air pollution and corporate green innovation in China," Economic Modelling, Elsevier, vol. 124(C).
    6. Xu, Jinghang & Guan, Yuru & Oldfield, Jonathan & Guan, Dabo & Shan, Yuli, 2024. "China carbon emission accounts 2020-2021," Applied Energy, Elsevier, vol. 360(C).
    7. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
    8. Shan, Yuli & Liu, Jianghua & Liu, Zhu & Xu, Xinwanghao & Shao, Shuai & Wang, Peng & Guan, Dabo, 2016. "New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors," Applied Energy, Elsevier, vol. 184(C), pages 742-750.
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