Principal indicators to monitor sustainable development goals
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 indic...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2021-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/ac3697 |
| _version_ | 1827869947256111104 |
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| author | Chenyang Shuai Long Yu Xi Chen Bu Zhao Shen Qu Ji Zhu Jianguo Liu Shelie A Miller Ming Xu |
| author_facet | Chenyang Shuai Long Yu Xi Chen Bu Zhao Shen Qu Ji Zhu Jianguo Liu Shelie A Miller Ming Xu |
| author_sort | Chenyang Shuai |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T15:51:47Z |
| format | Article |
| id | doaj.art-5b9769e6d5e348cc9c8bcd833eb6686b |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:51:47Z |
| publishDate | 2021-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-5b9769e6d5e348cc9c8bcd833eb6686b2023-08-09T15:07:38ZengIOP PublishingEnvironmental Research Letters1748-93262021-01-01161212401510.1088/1748-9326/ac3697Principal indicators to monitor sustainable development goalsChenyang Shuai0Long Yu1Xi Chen2Bu Zhao3Shen Qu4Ji Zhu5Jianguo Liu6Shelie A Miller7Ming Xu8School for Environment and Sustainability, University of Michigan , Ann Arbor, MI, United States of America; Michigan Institute for Computational Discovery and Engineering, University of Michigan , Ann Arbor, MI, United States of AmericaDepartment of Statistics, Fudan University , Shanghai, People’s Republic of ChinaCollege of Economics and Management, Southwest University , Chongqing, People’s Republic of ChinaSchool for Environment and Sustainability, University of Michigan , Ann Arbor, MI, United States of America; Michigan Institute for Computational Discovery and Engineering, University of Michigan , Ann Arbor, MI, United States of AmericaSchool for Environment and Sustainability, University of Michigan , Ann Arbor, MI, United States of AmericaDepartment of Statistics, University of Michigan , Ann Arbor, MI, United States of AmericaCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University , East Lansing, MI, United States of AmericaSchool for Environment and Sustainability, University of Michigan , Ann Arbor, MI, United States of America; Department of Civil and Environmental Engineering, University of Michigan , Ann Arbor, MI, United States of AmericaSchool for Environment and Sustainability, University of Michigan , Ann Arbor, MI, United States of America; Department of Civil and Environmental Engineering, University of Michigan , Ann Arbor, MI, United States of AmericaHundreds 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.https://doi.org/10.1088/1748-9326/ac3697sustainable development goalsprincipal indicatorsdimension reduction |
| spellingShingle | Chenyang Shuai Long Yu Xi Chen Bu Zhao Shen Qu Ji Zhu Jianguo Liu Shelie A Miller Ming Xu Principal indicators to monitor sustainable development goals Environmental Research Letters sustainable development goals principal indicators dimension reduction |
| title | Principal indicators to monitor sustainable development goals |
| title_full | Principal indicators to monitor sustainable development goals |
| title_fullStr | Principal indicators to monitor sustainable development goals |
| title_full_unstemmed | Principal indicators to monitor sustainable development goals |
| title_short | Principal indicators to monitor sustainable development goals |
| title_sort | principal indicators to monitor sustainable development goals |
| topic | sustainable development goals principal indicators dimension reduction |
| url | https://doi.org/10.1088/1748-9326/ac3697 |
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