Expert workshop on the creation and uses of combined environmental and economic performance datasets at the micro-level - 10-11 July 2018 - OECD, Paris
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Raphael Calel
1. M E A S U R I N G G R E E N T E C H N O L O G Y C H O I C E S
2. M E A S U R I N G G R E E N T E C H N O L O G Y C H O I C E S
3. U K T R E N D S I N A D O P T I O N A N D I N N O VAT I O N
4. D E C C L O W- E M I S S I O N S R & D S U R V E Y
‣ One-time survey of the “4,000 top innovators in
the country”.
‣ Covering their activities in 2008.
‣ Bare-bones survey instrument with only 6
substantively relevant questions.
‣ Response rate of 50%.
5. D E C C L O W- E M I S S I O N S R & D S U R V E Y
‣ Have you undertaken any low-carbon R&D?
‣ What was your total in-house spending on low-
carbon R&D?
‣ How much was Research?
‣ How much was Development?
‣ Which government incentives did you receive to
support your low-carbon R&D? (grants, tax credits,
etc.)
‣ What was the main focus of your low-carbon R&D?
(energy efficiency, renewable energy, nuclear, etc.)
6. P. S . C R O S S - C U T T I N G C H A L L E N G E S
‣ Many problems relating to to the merging of data
sets, especially external with anonymised, and
especially plant-level with firm-level.
‣ Request to data providers: Make publicly
available list of membership of each data set
(perhaps with general information on whether data
is missing or available), but without any
confidential information.
‣ Researchers can use this to perform power
calculations for prospective research projects, and
to construct link externally that will make it much
easier to merge with anonymised data.