000333419 001__ 333419
000333419 005__ 20230318054302.0
000333419 041__ $$aeng
000333419 245__ $$aEconomic Analysis of the Hard-to-Abate Sectors in India
000333419 260__ $$c2022
000333419 269__ $$a2022
000333419 300__ $$a48
000333419 336__ $$aConference Paper/ Presentation
000333419 500__ $$aPresented at the 25th Annual Conference on Global Economic Analysis (Virtual Conference)
000333419 520__ $$aWe assess the contribution of India’s hard-to-abate sectors to the country’s current emissions and their likely future trajectory of development under different policy regimes. We employ an enhanced version of the MIT Economic Projection and Policy Analysis (EPPA) model to explicitly represent the following hard-to-abate sectors: iron and steel, non-ferrous metals (copper, aluminum, zinc, etc.), non-metallic minerals (cement, plaster, lime, etc.), and chemicals. We find that, without additional policies, the Paris Agreement pledges made by India for the year 2030 still can lead to an increasing use of fossil fuels and corresponding greenhouse gas (GHG) emissions, with projected CO2 emissions from hard-to-abate sectors growing by about 2.6 times from 2020 to 2050. Scenarios with electrification, natural gas support, or increased resource efficiency lead to a decrease in emissions from these sectors by 15-20% in 2050, but without carbon pricing (or disruptive technology changes) emissions are not reduced relative to their current levels due to growth in output. Carbon pricing that makes carbon capture and storage (CCS) economically competitive is critical for achieving substantial emission reductions in hard-to-abate sectors, enabling emission reductions of 80% by 2050 relative the scenario without additional policies.
000333419 546__ $$aEnglish
000333419 650__ $$aInternational Relations/Trade
000333419 650__ $$aEnvironmental Economics and Policy
000333419 700__ $$aPaltsev, Sergey
000333419 700__ $$aGurgel, Angelo
000333419 700__ $$aMorris, Jennifer
000333419 700__ $$aChen, Henry
000333419 700__ $$aDey, Subhrajit
000333419 700__ $$aMarwah, Sumita
000333419 773__ $$j2022
000333419 8564_ $$944f7b65a-c822-42a6-9b7e-5f2d7ac0d5a9$$s2057853$$uhttps://ageconsearch.umn.edu/record/333419/files/11103.pdf
000333419 909CO $$ooai:ageconsearch.umn.edu:333419$$pGLOBAL_SET
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000333419 980__ $$a2457