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Land-Based Mitigation Strategies under the Mid-Term Carbon Reduction Targets in Indonesia

Authors: Tomoko Hasegawa; Shinichiro Fujimori; Rizaldi Boer; Gito Immanuel; Toshihiko Masui;

Land-Based Mitigation Strategies under the Mid-Term Carbon Reduction Targets in Indonesia

Abstract

We investigated the key mitigation options for achieving the mid-term target for carbon emission reduction in Indonesia. A computable general equilibrium model coupled with a land-based mitigation technology model was used to evaluate specific mitigation options within the whole economic framework. The results revealed three primary findings: (1) If no climate policy were implemented, Indonesia’s total greenhouse gas emissions would reach 3.0 GtCO2eq by 2030; (2) To reduce carbon emissions to meet the latest Intended Nationally-Determined Contributions (INDC) target, ~58% of total reductions should come from the agriculture, forestry and other land use sectors by implementing forest protection, afforestation and plantation efforts; (3) A higher carbon price in 2020 suggests that meeting the 2020 target would be economically challenging, whereas the INDC target for 2030 would be more economically realistic in Indonesia.

Country
Austria
Keywords

land use change, technology model, 330, INDC (Intended Nationally Determined Contributions), TJ807-830, TD194-195, Renewable energy sources, climate change; land use change; agriculture; mitigation options; INDC (Intended Nationally Determined Contributions); Indonesia; computable general equilibrium model; technology model, GE1-350, computable general equilibrium model, agriculture, Environmental effects of industries and plants, Environmental sciences, climate change, mitigation options, Indonesia

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
Green
gold