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

School for Environment and Sustainability
University of Michigan, Ann Arbor
Michigan Institute for Computational Discovery and Engineering
Department of Statistics
Fudan University
College of Economics and Management
Southwest University
Department of Statistics
Center for Systems Integration and Sustainability
Michigan State University

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

29 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

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy

Keywords

dimension reduction
principal indicators
sustainable development goals

Access to Document

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.",

keywords = "dimension reduction, principal indicators, sustainable development goals",

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",

note = "Publisher Copyright: {\textcopyright} 2021 The Author(s). Published by IOP Publishing Ltd.",

year = "2021",

month = dec,

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

language = "English",

volume = "16",

journal = "Environmental Research Letters",

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TY - JOUR

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.

KW - dimension reduction

KW - principal indicators

KW - sustainable development goals

UR - https://www.scopus.com/pages/publications/85120809796

U2 - 10.1088/1748-9326/ac3697

DO - 10.1088/1748-9326/ac3697

M3 - Article

AN - SCOPUS:85120809796

SN - 1748-9318

VL - 16

JO - Environmental Research Letters

JF - Environmental Research Letters

IS - 12

M1 - 124015

ER -

Principal indicators to monitor sustainable development goals

Abstract

UN SDGs

Keywords

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