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Watershed Planning within a Quantitative Scenario Analysis Framework
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Assessing progress towards sustainable development over space and time.

Zhenci Xu1, Sophia N Chau1, Xiuzhi Chen2

  • 1Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA.

Nature
|January 3, 2020
PubMed
Summary
This summary is machine-generated.

China

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Area of Science:

  • Environmental Science
  • Social Science
  • Policy Studies

Background:

  • 193 countries committed to 17 United Nations Sustainable Development Goals (SDGs).
  • Quantifying SDG progress is crucial for tracking global sustainable development efforts and guiding policy.
  • Systematic methods for assessing spatio-temporal SDG progress are currently lacking.

Purpose of the Study:

  • To develop and test systematic methods for quantifying progress towards the 17 SDGs.
  • To assess SDG progress at national and subnational levels in China.

Main Methods:

  • Developed novel systematic methods to quantify SDG progress.
  • Applied these methods to analyze spatio-temporal SDG progress in China from 2000 to 2015.

Main Results:

  • China's national SDG Index score increased from 2000 to 2015.
  • All Chinese provinces showed improved SDG Index scores during this period.
  • Significant spatio-temporal variations in SDG progress were observed across regions, with eastern and southern China generally scoring higher.
  • While 13 SDGs improved nationally, 4 SDGs declined.

Conclusions:

  • The developed methods provide a systematic approach to track SDG progress.
  • China has made overall progress towards SDGs, but regional disparities and declining scores in some goals highlight areas needing attention.
  • There is a global need to track the spatio-temporal dynamics of SDG progress.