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Municipal solid waste (MSW) under the population shrinking and aging: Spatio-temporal patterns, driving forces, and the impact of smart city development

  • School of Environment, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The phenomenon of shrinking and aging populations has profound implications for socioeconomic sustainability and presents unique challenges for managing municipal solid waste (MSW). These challenges have yet to be comprehensively understood thus far. In this study, we focus on the Circum-Bohai-Sea area in China (CBS) to investigate the spatiotemporal patterns of MSW generation under the population shrinking and aging. Results showed that the MSW growth rate reduced from 3.2% (2011–2015) to 1.6% (2016–2020) with population shrinking and aging. Geographical and temporal weighted regression (GTWR) revealed that disposable personal income and total population are the predominant drivers of MSW growth. In contrast, the population change rate and the proportion of elderly were the key factors for MSW reduction. Urban MSW reduction exhibited higher sensitivity to population shrinking, resulting in a 141.6% greater reduction compared to rural MSW for every 1% population shrinking. Conversely, rural MSW reduction displayed a greater response to population aging, with a 19.7% reduction more than urban MSW for every 1% increase in the proportion of the elderly. Based on scenario analysis, the smart city development will curb population shrinking (7.6%), while increasing the well-being, life expectancy, and population share of the elderly (3.4%). Future population shrinking and aging is expected to contribute to the growth of MSW, and this trend is further amplified by the development of smart city. However, smart city development led to MSW reduction overall with an MSW amount of 76.8 Mt (7.5% lower than in the business-as-usual scenario) by 2040, mainly attributed to smart sanitation technology. This study offers valuable insights for decision-makers in MSW management, not only in China but also for other countries grappling with population regression challenges.

Original languageEnglish
Article number140124
JournalJournal of Cleaner Production
Volume434
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Circum-bohai-sea region
  • Machine learning
  • Municipal solid waste
  • Population shrinking and aging
  • Smart city

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