Green hotspots? Unveiling global hotspots and shifting trends in carbon credit projects

Mark M. Akrofi

doi:10.1002/sd.3209

journal article Sep 30, 2024

Green hotspots? Unveiling global hotspots and shifting trends in carbon credit projects

Mark M. Akrofi

Sustainable Development Vol. 33 No. 2 pp. 1782-1796 · Wiley

View at Publisher Save 10.1002/sd.3209

Abstract

AbstractThis study examines the spatiotemporal patterns of verified carbon credit projects from 2004 to 2022, utilizing data from the Gold Standard Foundation (GSF) registry and employing spatial autocorrelation (Moran's I) and hot spot analysis (Getis‐Ord Gi*) in ArcGIS Pro. South Asia and East Africa emerged as key hotspots for carbon credit projects. Hotspots transitioned from China, Brazil, Peru, Panama, and Cambodia (2004–2016) to India, Kenya, Rwanda, and Uganda (2017–2022) with Turkey remaining a hotspot throughout the period. Overall, the analysis reveals a statistically significant Moran's I of 0.07 and a z‐score of 3.04, indicating spatial clustering of projects and a less than 1% likelihood that the clustering is a result of random chance. The spatial pattern and types of projects align with socio‐economic conditions and environmental protection objectives in different regions. Domestic energy efficiency projects are prevalent, such as improved cookstoves, biogas digesters, and borehole technologies for safe water access. These findings prompt the deduction that socio‐economic conditions wield substantial influence on investor preferences in carbon credit projects. Hence, the study contends that the overarching goal transcends mere carbon emissions mitigation; it extends to elevating the socio‐economic well‐being of local populations. By pinpointing geographical hotspots and elucidating temporal shifts, this study equips stakeholders with strategic insights into investment in carbon credit projects and highlights evolving investor interests in the carbon credit landscape, bridging the gap between environmental objectives and socio‐economic imperatives.

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References

57

[1]

10.1007/s10668-021-01779-1

[2]

10.1002/sd.1549

[3]

Cambridge Dictionary (2023)

[4]

Carbon Pulse. (2022 December 22).Philippines weighs biodiversity credit market to attract nature investments.https://carbon-pulse.com/185895/

[5]

10.1002/sd.2595

[6]

Circular Ecology (2024)

[7]

10.1016/j.heliyon.2023.e15151

[8]

ESRI. (2024a January 23).How hot spot analysis (Getis‐Ord Gi*) works.https://pro.arcgis.com/en/pro‐app/latest/tool‐reference/spatial‐statistics/h‐how‐hot‐spot‐analysis‐getis‐ord‐gi‐spatial‐stati.htm#:~:text=The‐Hot‐Spot‐Analysis‐tool‐the‐context‐of‐neighboring‐features

[9]

ESRI. (2024b January 25).How spatial autocorrelation (Global Moran's I) works—ArcGIS Pro|Documentation.https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/h-how-spatial-autocorrelation-moran-s-i-spatial-st.htm

[10]

10.1002/sd.2886

[11]

10.1016/j.cesys.2024.100164

[12]

The Analysis of Spatial Association by Use of Distance Statistics

Arthur Getis, J. K. Ord

Geographical Analysis 10.1111/j.1538-4632.1992.tb00261.x

[13]

10.1038/s41893-023-01259-6

[14]

Gold Standard Foundation. (2023).GSF registry.https://registry.goldstandard.org/credit-blocks?q=&page=1

[15]

Gold Standard Foundation (2024)

[16]

Gold Standard Foundation (2024)

[17]

Gold Standard Foundation (2024)

[18]

GSF. (2024 June 15).Gold standard SDG impact dashboard.https://dashboard.goldstandard.org/

[19]

10.1016/j.jclepro.2023.138825

[20]

10.1016/j.jenvman.2024.120271

[21]

Haya B. K. Alford‐Jones K. Anderegg W. R. L. Blanchard L. Bomfim B. Chin D. Evans S. Hogan M. Holm J. A. Mcafee K. West T. A. P. Withey L. &Francisco S.(2023).Quality assessment of REDD+ carbon credit projects.https://gspp.berkeley.edu/research-and-impact/centers/cepp/projects/berkeley-carbon-trading-

[22]

10.1016/j.scitotenv.2022.157153

[23]

10.1016/j.jenvman.2023.117755

[24]

How does digital infrastructure construction affect low-carbon development? A multidimensional interpretation of evidence from China

Jin Hu, Hong Zhang, Muhammad Irfan

Journal of Cleaner Production 10.1016/j.jclepro.2023.136467

[25]

10.1016/j.esd.2018.06.008

[26]

ICE. (2024 February 6).Carbon credit auctions.https://www.ice.com/emissions/auctions/carbon-auctions

[27]

IPCC (2022)

[28]

10.1126/science.adj6951

[29]

10.3389/ffgc.2022.796106/bibtex

[30]

10.1002/sd.2456

[31]

10.1080/14693062.2019.1628695

[32]

Michaelowa A. Shishlov I. Hoch S. Bofill P. &Espelage A.(2019).Overview and comparison of existing carbon crediting schemes(Issue February).www.perspectives.cc

[33]

10.1016/j.ecoleng.2021.106488

[34]

Miriri D. (2023)

[35]

Moloney A. (2021)

[36]

10.1002/sd.2719

[37]

Restuccia R. (2023)

[38]

Sayumi T. (2023)

[39]

10.1016/j.wdp.2024.100586

[40]

Shaikh R.(2023 July 25).Leveraging CSR for sustainable impact: Carbon credits as a catalyst for community development.https://www.theggi.org/post/leveraging-csr-for-sustainable-impact-carbon-credits-as-a-catalyst-for-community-development

[41]

An analysis of variance test for normality (complete samples)

S. S. SHAPIRO, M. B. WILK

Biometrika 10.1093/biomet/52.3-4.591

[42]

10.3390/su14138002

[43]

Sullivan N. (2022)

[44]

Taiyab N.(2006).Exploring the market for voluntary carbon offsets36.https://www.iied.org/15502iied

[45]

10.1016/j.jclepro.2023.140126

[46]

Trove Research. (2023).Investment trends and outcomes in the global carbon credit market.https://ieta.b-cdn.net/wp-content/uploads/2023/09/IETA_Report_TroveCreditInvestment_Sept2023.pdf

[47]

UNFCC. (2007).The Kyoto protocol mechanisms.https://unfccc.int/resource/docs/publications/mechanisms.pdf

[48]

10.1080/14693062.2016.1242056

[49]

VERRA (2023)

[50]

10.3390/cli6020049

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Details

Published: Sep 30, 2024
Vol/Issue: 33(2)
Pages: 1782-1796
License: View

Authors

M

Mark M. Akrofi

Institute for the Advanced Study of Sustainability United Nations University Tokyo Japan; Graduate School of Energy Science Kyoto University Kyoto Japan

Cite This Article

Mark M. Akrofi (2024). Green hotspots? Unveiling global hotspots and shifting trends in carbon credit projects. Sustainable Development, 33(2), 1782-1796. https://doi.org/10.1002/sd.3209

Green hotspots? Unveiling global hotspots and shifting trends in carbon credit projects

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