Principal indicators to monitor sustainable development goals

Chenyang Shuai; Long Yu; Xi Chen; Bu Zhao; Shen Qu; Ji Zhu; Jianguo Liu; Shelie A. Miller; Ming Xu

doi:10.1088/1748-9326/ac3697

Principal indicators to monitor sustainable development goals

Chenyang Shuai, Long Yu, Xi Chen, Bu Zhao, Shen Qu, Ji Zhu, Jianguo Liu, Shelie A. Miller, Ming Xu^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

Hundreds of indicators are available to monitor progress of countries and regions towards the Sustainable Development Goals (SDGs). However, the sheer number of indicators poses unprecedented challenges for data collection and compilation. Here we identify a subset of SDG indicators (principal indicators) that are relatively easy to collect data for and also are representative for all the indicators by considering the complex interrelationship among them. We find 147 principal indicators that can represent at least 90% of the annual variances of 351 SDG indicators in the past (2000-2017) and are expected to do so for the future (2018-2030) with the lowest difficulty of data collection. Our results can guide future investment in building the data infrastructure for SDG monitoring to give priorities to these principal indicators for global comparison.

Original language	English
Article number	124015
Journal	Environmental Research Letters
Volume	16
Issue number	12
DOIs	https://doi.org/10.1088/1748-9326/ac3697
Publication status	Published - Dec 2021
Externally published	Yes

Keywords

dimension reduction
principal indicators
sustainable development goals

UN SDGs

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

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10.1088/1748-9326/ac3697

Cite this

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title = "Principal indicators to monitor sustainable development goals",

abstract = "Hundreds of indicators are available to monitor progress of countries and regions towards the Sustainable Development Goals (SDGs). However, the sheer number of indicators poses unprecedented challenges for data collection and compilation. Here we identify a subset of SDG indicators (principal indicators) that are relatively easy to collect data for and also are representative for all the indicators by considering the complex interrelationship among them. We find 147 principal indicators that can represent at least 90% of the annual variances of 351 SDG indicators in the past (2000-2017) and are expected to do so for the future (2018-2030) with the lowest difficulty of data collection. Our results can guide future investment in building the data infrastructure for SDG monitoring to give priorities to these principal indicators for global comparison.",

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author = "Chenyang Shuai and Long Yu and Xi Chen and Bu Zhao and Shen Qu and Ji Zhu and Jianguo Liu and Miller, {Shelie A.} and Ming Xu",

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doi = "10.1088/1748-9326/ac3697",

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T1 - Principal indicators to monitor sustainable development goals

AU - Shuai, Chenyang

AU - Yu, Long

AU - Chen, Xi

AU - Zhao, Bu

AU - Qu, Shen

AU - Zhu, Ji

AU - Liu, Jianguo

AU - Miller, Shelie A.

AU - Xu, Ming

PY - 2021/12

Y1 - 2021/12

N2 - Hundreds of indicators are available to monitor progress of countries and regions towards the Sustainable Development Goals (SDGs). However, the sheer number of indicators poses unprecedented challenges for data collection and compilation. Here we identify a subset of SDG indicators (principal indicators) that are relatively easy to collect data for and also are representative for all the indicators by considering the complex interrelationship among them. We find 147 principal indicators that can represent at least 90% of the annual variances of 351 SDG indicators in the past (2000-2017) and are expected to do so for the future (2018-2030) with the lowest difficulty of data collection. Our results can guide future investment in building the data infrastructure for SDG monitoring to give priorities to these principal indicators for global comparison.

AB - Hundreds of indicators are available to monitor progress of countries and regions towards the Sustainable Development Goals (SDGs). However, the sheer number of indicators poses unprecedented challenges for data collection and compilation. Here we identify a subset of SDG indicators (principal indicators) that are relatively easy to collect data for and also are representative for all the indicators by considering the complex interrelationship among them. We find 147 principal indicators that can represent at least 90% of the annual variances of 351 SDG indicators in the past (2000-2017) and are expected to do so for the future (2018-2030) with the lowest difficulty of data collection. Our results can guide future investment in building the data infrastructure for SDG monitoring to give priorities to these principal indicators for global comparison.

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KW - principal indicators

KW - sustainable development goals

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DO - 10.1088/1748-9326/ac3697

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VL - 16

JO - Environmental Research Letters

JF - Environmental Research Letters

IS - 12

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Principal indicators to monitor sustainable development goals

Abstract

Keywords

UN SDGs

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