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220928 ||| eng |
| 020 |
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|a 9798400210631
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| 100 |
1 |
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|a Kim, Jaden
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| 245 |
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0 |
|a Jobs Impact of Green Energy
|c Jaden Kim, Adil Mohommad
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| 260 |
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|a Washington, D.C.
|b International Monetary Fund
|c 2022
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| 300 |
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|a 17 pages
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| 651 |
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4 |
|a China, People's Republic of
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| 653 |
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|a Economics
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| 653 |
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|a Energy
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| 653 |
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|a Research and Development
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| 653 |
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|a Investments: Energy
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| 653 |
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|a Natural resources
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| 653 |
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|a Electricity
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| 653 |
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|a Non-renewable resources
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| 653 |
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|a General issues
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| 653 |
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|a Environmental management
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| 653 |
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|a Labor
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| 653 |
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|a Economics of specific sectors
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| 653 |
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|a Commodities
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| 653 |
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|a Currency crises
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| 653 |
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|a Macroeconomics
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| 653 |
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|a Electric Utilities
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| 653 |
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|a Technological Change
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| 653 |
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|a Income economics
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| 653 |
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|a Electric utilities
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| 653 |
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|a Economic & financial crises & disasters
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| 653 |
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|a Environmental Economics: General
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| 653 |
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|a Labour
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| 653 |
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|a Intellectual Property Rights: General
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| 653 |
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|a Technology
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| 653 |
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|a Environment
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| 653 |
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|a Economics: General
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| 653 |
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|a Job creation
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| 653 |
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|a Natural Resources
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| 653 |
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|a Informal sector
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| 653 |
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|a Alternative Energy Sources
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| 653 |
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|a Nonrenewable Resources and Conservation: General
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| 653 |
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|a Renewable energy
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| 653 |
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|a Innovation
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| 653 |
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|a Renewable energy sources
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| 653 |
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|a Labor Demand
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| 653 |
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|a Investment & securities
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| 700 |
1 |
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|a Mohommad, Adil
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b IMF
|a International Monetary Fund
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| 490 |
0 |
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|a IMF Working Papers
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| 028 |
5 |
0 |
|a 10.5089/9798400210631.001
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| 856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2022/101/001.2022.issue-101-en.xml?cid=518411-com-dsp-marc
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 330
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| 520 |
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|a This brief paper accompanies the Green Energy and Jobs tool, which is a simple excel-based tool to estimate the job-creation potential of greening the electricity sector. Specifically, it calculates the net job gains or losses from increasing the level of energy efficiency, and from increasing the share of clean and renewable electricity generation in the total electricity output mix. The tool relies on estimates of job multipliers in the literature, and adds evidence from firm-level data on the job-intensity of different energy sources. The paper illustrates applications of the tool using data from the IEA’s Sustainable Development Scenario compared to business-as-usual. This tool is intended to help country teams engage further on climate change issues in bilateral surveillance
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