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Measuring long‐term sustainability with shared socioeconomic pathways using an inclusive wealth framework

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  • Robi Kurniawan
  • Shunsuke Managi

Abstract

To understand the trajectory of sustainability, it is important to measure historical and future projections of productive capital that contribute to wellbeing. This study considers a productive base that includes the human, natural and produced capital of 140 countries. We then develop projections for 2014–2100 using the newly developed shared socioeconomic pathways (SSPs) that strive to explain the implications of key socioeconomic variables on long‐term global sustainability. Those SSPs with high investments in broad societal development are associated with the highest growth in inclusive wealth. Poverty alleviation, demographic changes and human capital investments are effective instruments to attain greater wealth as shown in East and Southeast Asia. Furthermore, the SSP that describes a sustainability pathway, which poses the least climate change challenges and substantially reduced reliance on natural resources, is more conducive to increasing wellbeing than the fragmented pathways that result in inequality.

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  • Robi Kurniawan & Shunsuke Managi, 2018. "Measuring long‐term sustainability with shared socioeconomic pathways using an inclusive wealth framework," Sustainable Development, John Wiley & Sons, Ltd., vol. 26(6), pages 596-605, November.
    • Handle: RePEc:wly:sustdv:v:26:y:2018:i:6:p:596-605
    DOI: 10.1002/sd.1722
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    Cited by:

    1. Giannetti, Biagio F. & Sevegnani, Fábio & Almeida, Cecília M.V.B. & Agostinho, Feni & Moreno García, Roberto R. & Liu, Gengyuan, 2019. "Five sector sustainability model: A proposal for assessing sustainability of production systems," Ecological Modelling, Elsevier, vol. 406(C), pages 98-108.
    2. Mehmet Çağlar & Cem Gürler, 2022. "Sustainable Development Goals: A cluster analysis of worldwide countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8593-8624, June.
    3. van Krevel, Charan, 2021. "Does natural capital depletion hamper sustainable development? Panel data evidence," Resources Policy, Elsevier, vol. 72(C).
    4. Jason A. Hubbart & Hodjat Ghadimi, 2023. "Regional Wealth Data Acquisition and Modeling: Innovations Needed for Advancement in Sustainable Wealth in Energy-Rich Regions," Challenges, MDPI, vol. 14(4), pages 1-17, December.
    5. Siyu Gao & Haixiang Guo & Jing Yu, 2021. "Urban Water Inclusive Sustainability: Evidence from 38 Cities in the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 13(4), pages 1-32, February.
    6. Di Yang & Weixin Luan & Jun Yang & Bing Xue & Xiaoling Zhang & Hui Wang & Feng Pian, 2022. "The contribution of data-driven poverty alleviation funds in achieving mid-21st-Century multidimensional poverty alleviation planning," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    7. Shuhui Yang & Xuefeng Cui, 2019. "Building Regional Sustainable Development Scenarios with the SSP Framework," Sustainability, MDPI, vol. 11(20), pages 1-13, October.

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