BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:STANDARD
TZNAME:GMT
DTSTART:19710101T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
BEGIN:DAYLIGHT
TZNAME:BST
DTSTART:19710101T010000
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DTEND;TZID=Europe/London:20201209T200000
UID:69ffc0b08858f
DTSTAMP;TZID=Europe/London:20260509T231808Z
LOCATION:Online (via Zoom)
DESCRIPTION:China is implementing what will be the world’s largest CO2 emissions trading system. To reduce emissions\, the nation will employ a tradable performance standard (TPS)\, a rate-based instrument differing significantly from cap and trade (C&T) and a carbon tax\, emissions pricing instruments used elsewhere. With matching analytically and numerically solved models\, we assess the cost effectiveness and distributional impacts of China’s forthcoming TPS for reducing CO2 emissions from the power sector.

The TPS implicitly subsidizes electricity output\; this has significant consequences for cost effectiveness and distribution. The subsidy disadvantages the TPS relative to C&T by causing power plants to make less efficient use of output-reduction to reduce emissions (indeed\, it induces some generators to increase output) and by limiting the cost-reducing potential of allowance trading. In our central case simulations\, TPS’s overall costs are three times those of C&T. The TPS’s distributional impacts also differ significantly from C&T’s: the share of the overall economic burden borne by producers is much higher.
The use of customized rather than uniform benchmarks (maximal emission-output ratios consistent with compliance) compromises cost-effectiveness but can help serve regional distributional objectives. We examine numerically the aggregate costs of customizing benchmarks in order to reduce the adverse profit impacts in particular regions.

Please email <a href="mailto:gri.events@lse.ac.uk">gri.events@lse.ac.uk</a> with the name of the presenter in order to request the Zoom joining details for this seminar by 5pm on Tuesday 8th December 2020.
URL;VALUE=URI:https://www.cccep.ac.uk/event/chinas-unconventional-nationwide-co2-emissions-trading-system-cost-effectiveness-and-distributional-impacts-lawrence-goulder-stanford-university/
SUMMARY:China’s Unconventional Nationwide CO2 Emissions Trading System: Cost-Effectiveness and Distributional Impacts | Lawrence Goulder\, Stanford University
DTSTART;TZID=Europe/London:20201209T183000
END:VEVENT
END:VCALENDAR