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intitle:
The document title intitle:"climate education"
ispublisher:
The publishing organization ispublisher:CAPE
insummary:
Summary and key findings insummary:"conflict of interest"
hasconcept:
Climate tags, frame/perspective and analysis type hasconcept:"Climate Justice"
geography:
Regions the document covers or discusses geography:Canada
doctype:
Document type doctype:report
lang:
Document language, as an ISO code lang:fr
cidid:
One record, by its directory id cidid:iisd-000297
Analysis TypeStatic analysis
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2 results

  • The paper assesses how different carbon tax rates (10 and 100 yuan/tCO2) affect various Chinese industrial sectors. It finds that while a low carbon price is a safe starting point, a higher price of 100 yuan/tCO2 would significantly impact energy-intensive sectors like ferrous metals and electricity, potentially reducing GDP by 1.1% unless revenue is redistributed to stimulate consumption. The study highlights the electricity sector as the primary driver for CO2 emission reductions and suggests that targeted carbon pricing for energy-intensive sectors could be more efficient than a nationwide policy.

    AI-generated

    This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.

    Document type: Research paper

  • The report proposes the feebate as a technology-neutral, self-financing policy to increase vehicle efficiency without restricting consumer choice. RMI recommends a constant rate per gallon of fuel saved and the use of size classes to ensure fair comparison between vehicles. Analysis of 2005 vehicle data suggests that the number of size classes has a more significant fiscal impact on manufacturers than the specific attribute used to define those classes. The document also examines the legal landscape, suggesting that state-level feebates may avoid federal preemption under CAFE standards, and critiques Canada's Vehicle Efficiency Incentive for using a 'step function' rather than a continuous one.

    AI-generated

    This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.

    Document type: Report

    Regions: United States
Showing 1–2 of 2 documents