Implications of an emission trading scheme for India’s net-zero strategy: a modelling-based assessment Article Swipe
Aman Malik
,
Vaibhav Chaturvedi
,
Medhavi Sandhani
,
Pallavi Das
,
Chetna Arora
,
R.S. Kaler
,
Ryna Cui
,
Gokul Iyer
,
Alicia Zhao
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1748-9326/ad64ec
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1748-9326/ad64ec
To help meet its near-term NDC goals and long-term net-zero 2070 target, the Government of India has planned to establish a Carbon Credit Trading Scheme (CCTS), i.e. a domestic emission trading scheme (ETS). An ETS is an inherently cost-effective policy instrument for emission reduction, providing the greatest flexibility to reduce emissions from within and across sectors. An effective ETS requires design features that consider country-specific challenges and reflect its role within the larger policy package to achieve long-term emission reduction. Within the Indian context and in this study we therefore investigate—(i) what might be the role of the ETS in achieving India’s long-term mitigation targets? (ii) How might the various sectors interact under an emissions cap? (iii) How might the ETS interact with existing energy and climate policies? We do this analysis by running four main scenarios using the integrated assessment model GCAM (v6.0), adapted to India-specific assumptions and expectations. These scenarios are—(i) NZ (net-zero), (ii) NZ + ETS, (iii) NZ + CC (command and control), and (iv) NZ + RPO (renewables purchase obligations) + ETS. The NZ scenario assumes India’s near-term and long-term climate commitments of net zero by 2070. Scenarios with ETS (ii) and (iv) apply an emissions cap on four sectors—electricity, iron and steel, cement, and fertilizer. The scenario with CC applies a homogenous emission cap on each of the chosen sectors but does not allow cross-sectoral trading. The last scenario includes renewables purchase obligations (RPOs along with an ETS. We show that under a specific ETS emissions cap: (i) the electricity sector emerges as the largest source of cost-effective greenhouse gas (GHG) reduction options; (ii) ETS with trading across sectors is around 24% more cost-effective than ETS with trading only within sectors, (iii) RPOs can be complementary to an ETS although the impact of RPOs on GHG reductions in the electricity sector would need to be considered when setting the level of the ETS cap (or emissions intensity targets) or the RPO targets to avoid low carbon prices, and (iv) the direction and volume of financial transfers across sectors depends on allocation targets set by the government. Based on these results we provide design recommendations for India’s ETS.
Related Topics
Concepts
Emissions trading
Context (archaeology)
Environmental economics
Renewable energy
Greenhouse gas
Business
Climate change
Scenario analysis
Natural resource economics
Term (time)
Environmental science
Environmental resource management
Economics
Finance
Engineering
Paleontology
Ecology
Biology
Electrical engineering
Quantum mechanics
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1748-9326/ad64ec
- https://iopscience.iop.org/article/10.1088/1748-9326/ad64ec/pdf
- OA Status
- gold
- Cited By
- 4
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400763288
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400763288Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1748-9326/ad64ecDigital Object Identifier
- Title
-
Implications of an emission trading scheme for India’s net-zero strategy: a modelling-based assessmentWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-07-18Full publication date if available
- Authors
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Aman Malik, Vaibhav Chaturvedi, Medhavi Sandhani, Pallavi Das, Chetna Arora, R.S. Kaler, Ryna Cui, Gokul Iyer, Alicia ZhaoList of authors in order
- Landing page
-
https://doi.org/10.1088/1748-9326/ad64ecPublisher landing page
- PDF URL
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https://iopscience.iop.org/article/10.1088/1748-9326/ad64ec/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1748-9326/ad64ec/pdfDirect OA link when available
- Concepts
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Emissions trading, Context (archaeology), Environmental economics, Renewable energy, Greenhouse gas, Business, Climate change, Scenario analysis, Natural resource economics, Term (time), Environmental science, Environmental resource management, Economics, Finance, Engineering, Paleontology, Ecology, Biology, Electrical engineering, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4Per-year citation counts (last 5 years)
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14Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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