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Future growth pattern projections under shared socioeconomic pathways: a municipal city bottom-up aggregated study based on a localised scenario and population projections for China

Author

Listed:
  • Daiwei Jiang
  • Yixin Chang
  • Fanglei Zhong
  • Wenge Yao
  • Yongnian Zhang
  • Xiaojiang Ding
  • Chunlin Huang

Abstract

Precise multi-scenario projections of future economic outputs based on localised interpretations of global scenarios and major growth drivers are important for understanding long-term economic changes. However, few studies have focussed on localised interpretations, and many assume regional uniformity or use key parameters that are recursive or extrapolated by mathematical methods. This study provides a more intuitive and robust economic framework for projecting regional economic growth based on a neoclassical economic model and shared socioeconomic pathways (SSPs) scenarios. A non-uniform version of SSP2 (the middle-of-the-road scenario) was developed, and more detailed population projections for China were adopted using municipal-level data for 340 districts and parameter settings based on China’s recent development. The results show that China’s GDP will vary substantially across SSPs by 2050. Per capita GDP ranges from 19,300 USD under SSP3 (fragmentation) to 41,100 USD under SSP5 (conventional development). Per capita GDP under SSP1 (sustainability) is slightly higher than under SSP2, but lower on average than under SSP5. However, SSP1 is a better choice overall because environmental quality and equity are higher. Per capita GDP growth will generally be higher in relatively low-income regions by 2050, and the upper-middle-income provinces will become China’s new engine for economic growth.

Suggested Citation

  • Daiwei Jiang & Yixin Chang & Fanglei Zhong & Wenge Yao & Yongnian Zhang & Xiaojiang Ding & Chunlin Huang, 2022. "Future growth pattern projections under shared socioeconomic pathways: a municipal city bottom-up aggregated study based on a localised scenario and population projections for China," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 2574-2595, December.
  • Handle: RePEc:taf:reroxx:v:35:y:2022:i:1:p:2574-2595
    DOI: 10.1080/1331677X.2021.1968309
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    Cited by:

    1. Danni Sun & Fanglei Zhong & Ying Nie & Yulian Ma & Yusong Liu & Yang Liu, 2024. "Synergistic Development Pathways for National Parks and Local Regions: Shared Socioeconomic Pathway Scenario Forecasting and Optimization," Land, MDPI, vol. 13(9), pages 1-24, September.

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