India’s GHG Emission Reduction and Sustainable Development

Shukla, P.R.; Dhar, Subash

doi:10.1007/978-981-287-826-7_3

Cited by 10 publications

(4 citation statements)

References 13 publications

(9 reference statements)

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“…The architecture of 'Sustainable Development Goals' [47], which is co-evolving with the Paris Agreement, provides an additional window of opportunity to gain co-benefits in developing countries [37,[48][49][50]. Researchers have shown that the "social cost of carbon" is much lower if the carbon reduction takes place through the sustainability measures since institutional weaknesses inhibit competitive behavior in a developing economy [51]. To reduce the mitigation cost to developing countries, we also need to mainstream climate change into ongoing development policies.…”

Section: Discussionmentioning

confidence: 99%

An Assessment of Near-to-Mid-Term Economic Impacts and Energy Transitions under “2 °C” and “1.5 °C” Scenarios for India

et al. 2018

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The goal of limiting global temperature rise to “well below” 2 °C has been reaffirmed in the Paris Agreement on climate change at the 21st Conference of the Parties (COP21). Almost all countries submitted their decarbonization targets in their Intended Nationally Determined Contributions (INDC) to the United Nations Framework Convention on Climate Change (UNFCCC) and India did as well. India’s nationally determined contribution (NDC) aims to reduce greenhouse gas (GHG) emissions intensity of national GDP in 2030 by 33–35% compared to 2005. This paper analyzes how India’s NDC commitments compare with emission trajectories consistent with well below 2 °C and 1.5 °C global temperature stabilization goals. A top-down computable general equilibrium model is used for the analysis. Our analysis shows that there are significant emission gaps between NDC and global climate stabilization targets in 2030. The energy system requires significant changes, mostly relying on renewable energy and carbon capture and storage (CCS) technology. The mitigation costs would increase if India delays its abatement efforts and is locked into NDC pathways till 2030. India’s GHG emissions would peak 10 years earlier under 1.5 °C global temperature stabilization compared to the 2 °C goal. The results imply that India would need financial and technological support from developed countries to achieve emissions reductions aligned with the global long-term goal.

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Section: Discussionmentioning

confidence: 99%

An Assessment of Near-to-Mid-Term Economic Impacts and Energy Transitions under “2 °C” and “1.5 °C” Scenarios for India

et al. 2018

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“…However, the Planning Commission (PC, 2014) categorized this technology as unviable even with social discount rates and monetized mitigation benefits. Shukla and Dhar (2016) recognise that CCS deployment in modelling output is misleading due to uncertainty of CCS capacity and costs in India. Shukla and Chaturvedi (2013) state that "the greater and early focus on pushing renewable energy technologies can be a better risk hedging strategy in the case of stringent stabilization targets rather than end-of-pipe mitigation technologies such as CCS".…”

Section: Role Of Ccs Technologymentioning

confidence: 99%

Assessing the evolution of India's power sector to 2050 under different CO2 emissions rights allocation schemes

Gadre

Anandarajah

2019

Energy for Sustainable Development

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This paper assesses the evolution of India's power sector to 2050 and identifies crucial low carbon technologies to meet its NDC and long-term climate change mitigation targets under various carbon emission rights allocation schemes using a multi-region global energy systems model TIAM-UCL where India is modelled as a separate region. Six scenarios were developed reference case, NDC, global 2°C and three scenarios where CO2 emissions of all model regions converged in 2050 based on criteria of GDP/capita, emissions intensity of GDP and per capita emissions. The analysis shows that emission rights allocation schemes influence the total energy system development costs, long-term electricity generation requirements, and share of renewables especially solar PV generation to meet the 2°C target. The model runs also show that solar-PV is the single most important generation technology for decarbonisation of India's power sector. Limiting the share of solar-PV generation can lead to 20% reduction in total electricity generation and increase system costs substantially for 2050. Further, the results also indicate that India may have 200-215 GW of stranded coal generation assets in 2050 in the low carbon scenarios. Our analysis suggest that India is one of those countries which are at the development stage and also highly risked with the lock-in in carbon emitting infrastructure especially coal-based generations unless action taken in the near-term.

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“…2. India has endorsed the long-term target of limiting the temperature rise to under 2 °C (GoI, 2008) and has also made voluntary commitment for reducing the emission intensity of GDP in the year 2020 by 20-25% below that in the year 2005 at COP15 in Copenhagen (Shukla, Dhar, 2016). 3.…”

Section: Introductionmentioning

confidence: 99%

The Geospatial Understanding of Climate-Smart Agriculture and REDD+ Implementation: Indian Perspective

Ahmad¹,

Farooq

Goparaju³

et al. 2020

Ekológia (Bratislava)

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Geospatial technology has an enormous capacity to analyze large and diversified datasets for evaluating the hidden spatial relationship which provides a better comprehension of the subject and helps significantly in policymaking and planning future strategies.This study has examined the relationship among diversified remote sensing and GIS datasets such as GHG emission from cropland, rice cultivation area, agro-ecological region, Land use/Land cover (LULC) categories, long-term NDVI (1982−2006) based negative changes, agriculture vulnerability, drought-prone area and future (2021, 2050) climate change anomalies (RCP-6) of India for better understanding and knowledge of the GHG emission scenario, vegetation health, LULC, agriculture vulnerability, and future climate change impact. The LULC analysis revealed that 49.6% (1 628 959 km²) of the geographical area was found to be under category ‘cropland’. The 32.5% of the total cropland areas are used for rice cultivation whereas around 76% of this rice cultivation area is producing high GHG emission (>1000 Mg CO2 e/yr.). LULC categories ‘Cropland’ and ‘Plantation’ show the long-term (1982−2006) negative change equivalent to 19.7 and 70.2% respectively. Similarly, around 56% of LULC categories representing the forest show the long-term negative change whereas the maximum change (139 867 km²) was found in the category of ‘Deciduous Broadleaf Forest’. The 30.6% of the LULC category of ‘cropland’ falls in very high agriculture vulnerable areas whereas 31.7% of the same category falls in the drought-prone area. The significant increase in temperature and abrupt rainfall patterns were observed during Kharif and Rabi seasons in the future. Such variation of climate parameter in the future not only adversely affect the agriculture crop production but also the natural vegetation of India.The outcomes of the present study would support the policymakers of India to implement the climate-smart agriculture (CSA) and REDD+ on an urgent priority based on a proper evaluation of the socio-economic condition of the poor people. It will certainly help in the reduction of GHG emission, forest amelioration, will bring the resilience in livelihood and mitigate the poverty among the rural communities for the betterment of people.

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India’s GHG Emission Reduction and Sustainable Development

Cited by 10 publications

References 13 publications

An Assessment of Near-to-Mid-Term Economic Impacts and Energy Transitions under “2 °C” and “1.5 °C” Scenarios for India

An Assessment of Near-to-Mid-Term Economic Impacts and Energy Transitions under “2 °C” and “1.5 °C” Scenarios for India

Assessing the evolution of India's power sector to 2050 under different CO2 emissions rights allocation schemes

The Geospatial Understanding of Climate-Smart Agriculture and REDD+ Implementation: Indian Perspective

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