Carbon Credit Dataset & Financial Modelling – India & Global (doi:10.7910/DVN/W2D7H2)

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Carbon Credit Dataset & Financial Modelling – India & Global

doi:10.7910/DVN/W2D7H2

Harvard Dataverse

2025-11-07

1

Rawat, Manoj, 2025, "Carbon Credit Dataset & Financial Modelling – India & Global", https://doi.org/10.7910/DVN/W2D7H2, Harvard Dataverse, V1

Carbon Credit Dataset & Financial Modelling – India & Global

A Structured Framework for Emission Accounting, Financial Modelling, and Carbon Market Research

doi:10.7910/DVN/W2D7H2

0009-0005-5571-7820

Rawat, Manoj

Manoj Rawat

2025-11-01

Harvard Dataverse

Rawat, Manoj

Rawat, Manoj

2025-11-01

2025-11-01

https://doi.org/10.7910/DVN/W2D7H2

Business and Management, Earth and Environmental Sciences, Engineering, Carbon Credits, Climate Finance, Carbon markets, GHG modelling, Afforestation & reforestation, Carbon pricing, Voluntary Carbon Market, Financial Modelling, Climate Policy, Solar irrigation, Forestry sequestration, Excel financial models;, Open dataset, Additionality and leakage, Grid emission factor, Emission reductions, India, Improved cookstoves, Portfolio analysis, Climate Change, Baseline emissions, IPCC 2006, CORSIA, EU ETS, CCTS India (2023);, MRV

Climate Change, Carbon Economy, Carbon Markets, Sustainability, Financial Modelling, Green Economy, India Carbon Credit Trading Scheme (CCTS 2023), greenhouse gas (GHG), Sustainable Development

<div style="text-align:center;"> <h3>Carbon Credit Dataset & Methodology Report</h3> <p><em>This dataset is part of broader open access initiative to advance climate finance, carbon market transparency, and data-driven research.</em><br> <b>A structured framework for emission accounting, financial modelling, and carbon market research</b></p> </div> <p>This dataset provides a structured and transparent framework for analysing the carbon credit economy using empirical data, greenhouse gas (GHG) accounting, and financial modelling. It combines sector-wise Excel models, revenue forecasts, and reproducible emission calculations based on IPCC (2006/AR6), India’s Carbon Credit Trading Scheme (CCTS, 2023), UNFCCC CDM methodologies, Verra, and Gold Standard frameworks.</p> <p><strong>Dataset Components Include:</strong></p> <ul> <li><strong>Emission Modelling:</strong> Baseline and project emissions for solar, forestry, agriculture, energy, and improved cookstove projects.</li> <li><strong>Financial Modelling:</strong> NPV, IRR, payback period, with and without carbon revenue.</li> <li><strong>10-Year Forecasts:</strong> Revenue projections for solar irrigation, ICS, afforestation, and multi-project portfolios.</li> <li><strong>Documentation:</strong> Assumptions, formulas, emission factors, and data sources (IPCC, CEA, FAOSTAT, UNFCCC, IEA, RBI).</li> <li><strong>Full Report & Metadata:</strong> Methodology report (PDF), README, provenance documentation, glossary, codebook, and changelog.</li> </ul> <p><strong>File Structure:</strong></p> <ul> <li><i>Carbon-Credit-Dataset-Manoj-Rawat-2025.pdf</i> – Full documentation including methodology, formulas, references, and charts.</li> <li><em>Excel Models:</em> Carbon, Solar, ICS, Afforestation (AR), and Portfolio</li> <li><em>Supporting Files:</em> README.txt, DATA_PROVENANCE.txt, METHODS_SUMMARY.txt, VARIABLES_CODEBOOK.txt, LICENSE.txt (CC BY 4.0), CITATION.cff, RIS.ris</li> </ul> <p><strong>Purpose and Users:</strong></p> <p>This dataset is designed for researchers, policymakers, MRV platforms, analysts, renewable energy developers, and financial institutions. It supports emission baselining, carbon credit estimation (tCO₂e), climate finance research, policy analysis, and academic teaching.</p> <p><strong>Standards and Licensing:</strong></p> <ul> <li>Compliant with IPCC 2006 Guidelines, IPCC AR6, UNFCCC CDM, and CCTS (India, 2023)</li> <li>Aligned with FAIR Data Principles (Findable, Accessible, Interoperable, Reusable)</li> <li>Licensed under Creative Commons Attribution 4.0 (CC BY 4.0)</li> <li>No personal, confidential, or proprietary data included</li> </ul>

This dataset forms part of an open-access initiative to advance applied research in carbon markets, climate finance, and emission accounting. The material provides reference data and calculation templates to support reproducible analysis, policy studies, and institutional learning on carbon credit valuation and climate-finance mechanisms. This dataset complements the author’s book "Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy" ISBN : 978-93-343-6282-4 and provides the analytical models and data underlying the framework. Supplements available on Zenodo, OSF, SSRN, Academia, ReserachGate, DBSciience and Figshare. Author ORCID: 0009-0005-5571-7820. All content is for research, academic and analytical use only; no responsibility is assumed for financial, legal, or commercial outcomes. Licensed under Creative Commons Attribution 4.0 (CC BY 4.0).

<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a>

Rawat, Manoj (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy. ISBN (Paperback): 978-93-343-6282-4

978-93-343-6282-4

Rawat, Manoj (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy. ISBN (Paperback): 978-93-343-6282-4

Rawat, Manoj (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy.ISBN (eBook): 978-93-343-7713-2

978-93-343-7713-2

Rawat, Manoj (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy.ISBN (eBook): 978-93-343-7713-2

Rawat, Manoj. (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy. OSF. https://doi.org/10.17605/OSF.IO/PEKU3

10.17605/OSF.IO/PEKU3

Rawat, Manoj. (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy. OSF. https://doi.org/10.17605/OSF.IO/PEKU3

Rawat, Manoj. (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy. Zenodo. https://doi.org/10.5281/zenodo.17246953

10.5281/zenodo.17246953

Rawat, Manoj. (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy. Zenodo. https://doi.org/10.5281/zenodo.17246953

Rawat, Manoj. (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy. Figshare. https://doi.org/10.6084/m9.figshare.30509672

10.6084/m9.figshare.30509672

Rawat, Manoj. (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy. Figshare. https://doi.org/10.6084/m9.figshare.30509672

Rawat, Manoj and Rawat, Manoj and Rawat, Manoj, Carbon Credit: A Beginner’s Guide—Demystifying the Carbon Economy A Practical Guide to Carbon Markets, Finance and Policy (September 22, 2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy, 2025 | ISBN: 978-93-3436-282-4,

10.2139/ssrn.5693642

Rawat, Manoj and Rawat, Manoj and Rawat, Manoj, Carbon Credit: A Beginner’s Guide—Demystifying the Carbon Economy A Practical Guide to Carbon Markets, Finance and Policy (September 22, 2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy, 2025 | ISBN: 978-93-3436-282-4,

Rawat, M. K. (2025). Carbon Credit Methodology and Framework – India and Global [Dataset]. OSF. https://osf.io/mf7jw/

10.17605/OSF.IO/MF7JW

Rawat, M. K. (2025). Carbon Credit Methodology and Framework – India and Global [Dataset]. OSF. https://osf.io/mf7jw/

Rawat, M.K., 2025. Carbon Credit: A Beginner’s Guide—Demystifying the Carbon Economy: A Practical Guide to Carbon Markets, Finance and Policy. SSRN. Available at: https://doi.org/10.2139/ssrn.5693642 (

10.2139/ssrn.5693642

Rawat, M.K., 2025. Carbon Credit: A Beginner’s Guide—Demystifying the Carbon Economy: A Practical Guide to Carbon Markets, Finance and Policy. SSRN. Available at: https://doi.org/10.2139/ssrn.5693642 (

Rawat, M.K., 2025. Carbon Credit Methodology and Framework – India and Global [Dataset]. ScienceDB. Available at: https://doi.org/10.57760/sciencedb.31582

10.57760/sciencedb.31582

Rawat, M.K., 2025. Carbon Credit Methodology and Framework – India and Global [Dataset]. ScienceDB. Available at: https://doi.org/10.57760/sciencedb.31582

Rawat, M.K. (2025). Carbon Credit Methodology and Framework: A Structured Approach to Emission Accounting, Financial Modelling, and Carbon Market Research in India and Global Markets [Working paper]. Available at: https://www.researchgate.net/publication/397532860_Carbon_Credit_Methodology_and_Framework_A_Structured_Approach_to_Emission_Accounting_Financial_Modelling_and_Carbon_Market_Research_in_India_and_Global_Markets

397532860

Rawat, M.K. (2025). Carbon Credit Methodology and Framework: A Structured Approach to Emission Accounting, Financial Modelling, and Carbon Market Research in India and Global Markets [Working paper]. Available at: https://www.researchgate.net/publication/397532860_Carbon_Credit_Methodology_and_Framework_A_Structured_Approach_to_Emission_Accounting_Financial_Modelling_and_Carbon_Market_Research_in_India_and_Global_Markets

Rawat, M.K. (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy [Working paper]. Available at: https://www.researchgate.net/publication/397530700_Carbon_Credit_A_Beginner’s_Guide-Demystifying_the_Carbon_Economy

397530700

Rawat, M.K. (2025). Carbon Credit: A Beginner’s Guide – Demystifying the Carbon Economy [Working paper]. Available at: https://www.researchgate.net/publication/397530700_Carbon_Credit_A_Beginner’s_Guide-Demystifying_the_Carbon_Economy

Rawat, M.K. (2025). Carbon Credit Methodology and Framework – India and Global [Dataset]. Harvard Dataverse. Available at: https://www.academia.edu/144901464/Carbon_Credit_Methodology_and_Framework_India_and_Global_Harvard_DV

144901464

Rawat, M.K. (2025). Carbon Credit Methodology and Framework – India and Global [Dataset]. Harvard Dataverse. Available at: https://www.academia.edu/144901464/Carbon_Credit_Methodology_and_Framework_India_and_Global_Harvard_DV

Rawat, M.K. (2025). Carbon Credit Methodology and Framework [Working paper]. Academia.edu. Available at: https://www.academia.edu/144901701/Carbon_Credit_Methodology_and_Framework (Accessed: 17 November 2025).

144901464

Rawat, M.K. (2025). Carbon Credit Methodology and Framework [Working paper]. Academia.edu. Available at: https://www.academia.edu/144901701/Carbon_Credit_Methodology_and_Framework (Accessed: 17 November 2025).

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AR_Revenue_Forecast_10yr_with_docs.xlsx

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Afforestation/Reforestation (forest carbon sequestration) model with tCO₂e removals and revenue projection.

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BibTeX.bib

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Bibliographic citation file (BibTeX format) for referencing this dataset in academic publications.

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Carbon-Credit-Dataset-Manoj-Rawat-2025.pdf

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Main methodology report including emission calculations, financial models (NPV, IRR), dataset structure, appendices and academic references.

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Carbon_Revenue_Model_with_docs.xlsx

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Master Excel model containing baseline emissions, ER (tCO₂e), carbon revenue, and NPV/IRR calculations.

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CHANGELOG.txt

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Version history, updates, file modifications up to November 2025.

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chart1_revenue_vs_price.png

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Annual carbon revenue at varying carbon price levels for solar, ICS, and forestry projects.

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chart2_npv_vs_discount.png

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NPV sensitivity across discount rates for selected project types.

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chart4_er_by_type.png

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Annual emission reduction (tCO₂e) comparison across project types

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chart5_issued_trend_ics.png

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10-year decline in carbon credit issuance due to ICS performance degradation.

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CITATION.cff

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Citation metadata formatted for GitHub and DOI systems (CFF format).

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DATA_PROVENANCE_AND_METHODOLOGY.txt

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Data sources (IPCC, CEA, FAOSTAT), assumptions and calculation standards.

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DATASET_INVENTORY.txt

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Full folder and file listing with version details

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Dataverse_dataset.json

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JSON metadata file structured for Harvard Dataverse API import/export

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ICS_Revenue_Forecast_10yr_with_docs.xlsx

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Improved cookstove project model including biomass savings, emission reduction and financial viability.

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LICENSE.txt

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Creative Commons Attribution (CC BY 4.0) license text and usage rights

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METHODS_SUMMARY.txt

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Short summary of equations, formulas for BE, PE, ER, NPV, IRR.

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Portfolio_Summary_10yr_with_docs.xlsx

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Consolidated model of multiple project types showing cumulative emissions, revenue and returns.

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README.txt

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Overview, purpose of the dataset, file structure and how to use the models.

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RIS.ris

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Citation export format for EndNote, Zotero, Mendeley.

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Solar_Revenue_Forecast_10yr_with_docs.xlsx

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Solar PV project emission reduction and 10-year carbon revenue projections based on CEA emission factors.

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VARIABLES_CODEBOOK.txt

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Definitions and units for each column or variable in the Excel models.

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