Linking Top-Down and Bottom-Up Models for Climate Policy Analysis : The Case of China
Top-down economic models, such as computable general equilibrium models, are the common tools to assess the economic impacts of climate change policies. However, these models are incapable of representing the detailed technological characteristics...
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World Bank, Washington, DC
2019
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| Online Access: | http://documents.worldbank.org/curated/en/426801561032910616/Linking-Top-Down-and-Bottom-UP-Models-for-Climate-Policy-Analysis-The-Case-of-China http://hdl.handle.net/10986/31924 |
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okr-10986-319242022-09-20T00:14:40Z Linking Top-Down and Bottom-Up Models for Climate Policy Analysis : The Case of China Timilsina, Govinda Pang, Jun Yang, Xi CLIMATE CHANGE CLIMATE CHANGE IMPACT CLIMATE POLICY VERTICAL LINKAGE ENERGY MODELING MACROECONOMIC IMPACT CGE MODEL POWER SECTOR PLANNING TOP-DOWN MODEL BOTTOM-UP MODEL GREENHOUSE GAS EMISSIONS ENERGY ENGINEERING ENERGY TECHNOLOGY Top-down economic models, such as computable general equilibrium models, are the common tools to assess the economic impacts of climate change policies. However, these models are incapable of representing the detailed technological characteristics of the sources of greenhouse gas emissions. The economic impacts measured by the top-down economic models are likely to be overestimated. This study attempts to quantify the overestimation by measuring the economic impacts linking the top-down model with a bottom-up engineering model for the energy sector. The study uses meeting China's pledges under the Paris Agreement for testing this hypothesis. The study shows that the economic impacts measured by the stand-alone top-down model are almost three times as high as those resulting from the model after linking it with the bottom-up model. However, the findings are sensitive to the assumptions and existing or planned policies on energy technologies considered in the bottom-up model. 2019-06-20T16:30:26Z 2019-06-20T16:30:26Z 2019-06 Working Paper http://documents.worldbank.org/curated/en/426801561032910616/Linking-Top-Down-and-Bottom-UP-Models-for-Climate-Policy-Analysis-The-Case-of-China http://hdl.handle.net/10986/31924 English Policy Research Working Paper;No. 8905 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper East Asia and Pacific China |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
CLIMATE CHANGE CLIMATE CHANGE IMPACT CLIMATE POLICY VERTICAL LINKAGE ENERGY MODELING MACROECONOMIC IMPACT CGE MODEL POWER SECTOR PLANNING TOP-DOWN MODEL BOTTOM-UP MODEL GREENHOUSE GAS EMISSIONS ENERGY ENGINEERING ENERGY TECHNOLOGY |
| spellingShingle |
CLIMATE CHANGE CLIMATE CHANGE IMPACT CLIMATE POLICY VERTICAL LINKAGE ENERGY MODELING MACROECONOMIC IMPACT CGE MODEL POWER SECTOR PLANNING TOP-DOWN MODEL BOTTOM-UP MODEL GREENHOUSE GAS EMISSIONS ENERGY ENGINEERING ENERGY TECHNOLOGY Timilsina, Govinda Pang, Jun Yang, Xi Linking Top-Down and Bottom-Up Models for Climate Policy Analysis : The Case of China |
| geographic_facet |
East Asia and Pacific China |
| relation |
Policy Research Working Paper;No. 8905 |
| description |
Top-down economic models, such as
computable general equilibrium models, are the common tools
to assess the economic impacts of climate change policies.
However, these models are incapable of representing the
detailed technological characteristics of the sources of
greenhouse gas emissions. The economic impacts measured by
the top-down economic models are likely to be overestimated.
This study attempts to quantify the overestimation by
measuring the economic impacts linking the top-down model
with a bottom-up engineering model for the energy sector.
The study uses meeting China's pledges under the Paris
Agreement for testing this hypothesis. The study shows that
the economic impacts measured by the stand-alone top-down
model are almost three times as high as those resulting from
the model after linking it with the bottom-up model.
However, the findings are sensitive to the assumptions and
existing or planned policies on energy technologies
considered in the bottom-up model. |
| format |
Working Paper |
| author |
Timilsina, Govinda Pang, Jun Yang, Xi |
| author_facet |
Timilsina, Govinda Pang, Jun Yang, Xi |
| author_sort |
Timilsina, Govinda |
| title |
Linking Top-Down and Bottom-Up Models for Climate Policy Analysis : The Case of China |
| title_short |
Linking Top-Down and Bottom-Up Models for Climate Policy Analysis : The Case of China |
| title_full |
Linking Top-Down and Bottom-Up Models for Climate Policy Analysis : The Case of China |
| title_fullStr |
Linking Top-Down and Bottom-Up Models for Climate Policy Analysis : The Case of China |
| title_full_unstemmed |
Linking Top-Down and Bottom-Up Models for Climate Policy Analysis : The Case of China |
| title_sort |
linking top-down and bottom-up models for climate policy analysis : the case of china |
| publisher |
World Bank, Washington, DC |
| publishDate |
2019 |
| url |
http://documents.worldbank.org/curated/en/426801561032910616/Linking-Top-Down-and-Bottom-UP-Models-for-Climate-Policy-Analysis-The-Case-of-China http://hdl.handle.net/10986/31924 |
| _version_ |
1764475378170068992 |