Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme: A Regional CGE Modeling Analysis
This study analyzes the potential impacts of a national emission trading scheme on provincial economies in China of meeting China's emission reduction pledges, the Nationally Determined Contributions announced under the Paris Agreement. The study developed a multiregional, multisectoral, recurs...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Washington, D.C
The World Bank
2019
|
Schriftenreihe: | World Bank E-Library Archive
|
Online-Zugang: | kostenfrei |
Zusammenfassung: | This study analyzes the potential impacts of a national emission trading scheme on provincial economies in China of meeting China's emission reduction pledges, the Nationally Determined Contributions announced under the Paris Agreement. The study developed a multiregional, multisectoral, recursive-dynamic computable general equilibrium model and calibrated it with the latest provincial-level social accounting matrices (2012). The study shows that meeting China's Nationally Determined Contributions through an emission trading scheme would reduce almost 30 percent of the emission reduction from the business as usual scenario in 2030. If the baseline is corrected based on information from a bottom-up energy sector model, TIMES, the required reduction of emissions from the baseline in 2030 drops by half, to 15 percent. At the national level, the emission trading scheme would cause a 1.2 to 1.5 percent reduction in gross domestic product from the business as usual scenario in 2030. If the baseline is corrected, the impact on gross domestic product drops by two-thirds. The emission trading scheme would cause some provincial economies to gain and others to lose. The economic impacts are highly sensitive to the allowance allocation rules. Not only the magnitudes, but also the directions of the economic impacts alter when the allocation rules change. The provinces that rely on coal mining or coal-intensive manufacturing industries are found to experience relatively larger economic losses irrespective of the allowance allocation rules |
Beschreibung: | 1 Online-Ressource (62 Seiten) |
DOI: | 10.1596/1813-9450-8909 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV048274380 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 220609s2019 |||| o||u| ||||||eng d | ||
024 | 7 | |a 10.1596/1813-9450-8909 |2 doi | |
035 | |a (ZDB-1-WBA)NLM011153024 | ||
035 | |a (OCoLC)1334058371 | ||
035 | |a (DE-599)GBVNLM011153024 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-12 |a DE-521 |a DE-573 |a DE-523 |a DE-Re13 |a DE-19 |a DE-355 |a DE-703 |a DE-91 |a DE-706 |a DE-29 |a DE-M347 |a DE-473 |a DE-824 |a DE-20 |a DE-739 |a DE-1043 |a DE-863 |a DE-862 | ||
100 | 1 | |a Pang, Jun |e Verfasser |4 aut | |
245 | 1 | 0 | |a Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme |b A Regional CGE Modeling Analysis |c Jun Pang |
264 | 1 | |a Washington, D.C |b The World Bank |c 2019 | |
300 | |a 1 Online-Ressource (62 Seiten) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a World Bank E-Library Archive | |
520 | |a This study analyzes the potential impacts of a national emission trading scheme on provincial economies in China of meeting China's emission reduction pledges, the Nationally Determined Contributions announced under the Paris Agreement. The study developed a multiregional, multisectoral, recursive-dynamic computable general equilibrium model and calibrated it with the latest provincial-level social accounting matrices (2012). The study shows that meeting China's Nationally Determined Contributions through an emission trading scheme would reduce almost 30 percent of the emission reduction from the business as usual scenario in 2030. If the baseline is corrected based on information from a bottom-up energy sector model, TIMES, the required reduction of emissions from the baseline in 2030 drops by half, to 15 percent. At the national level, the emission trading scheme would cause a 1.2 to 1.5 percent reduction in gross domestic product from the business as usual scenario in 2030. If the baseline is corrected, the impact on gross domestic product drops by two-thirds. The emission trading scheme would cause some provincial economies to gain and others to lose. The economic impacts are highly sensitive to the allowance allocation rules. Not only the magnitudes, but also the directions of the economic impacts alter when the allocation rules change. The provinces that rely on coal mining or coal-intensive manufacturing industries are found to experience relatively larger economic losses irrespective of the allowance allocation rules | ||
700 | 1 | |a Pang, Jun |4 oth | |
700 | 1 | |a Timilsina, Govinda |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Pang, Jun |t Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme: A Regional CGE Modeling Analysis |d Washington, D.C : The World Bank, 2019 |
856 | 4 | 0 | |u https://doi.org/10.1596/1813-9450-8909 |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-1-WBA | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033654575 |
Datensatz im Suchindex
_version_ | 1812671823648653312 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Pang, Jun |
author_facet | Pang, Jun |
author_role | aut |
author_sort | Pang, Jun |
author_variant | j p jp |
building | Verbundindex |
bvnumber | BV048274380 |
collection | ZDB-1-WBA |
ctrlnum | (ZDB-1-WBA)NLM011153024 (OCoLC)1334058371 (DE-599)GBVNLM011153024 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1596/1813-9450-8909 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000zc 4500</leader><controlfield tag="001">BV048274380</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220609s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1596/1813-9450-8909</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-1-WBA)NLM011153024</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1334058371</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVNLM011153024</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-Re13</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pang, Jun</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme</subfield><subfield code="b">A Regional CGE Modeling Analysis</subfield><subfield code="c">Jun Pang</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Washington, D.C</subfield><subfield code="b">The World Bank</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (62 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">World Bank E-Library Archive</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This study analyzes the potential impacts of a national emission trading scheme on provincial economies in China of meeting China's emission reduction pledges, the Nationally Determined Contributions announced under the Paris Agreement. The study developed a multiregional, multisectoral, recursive-dynamic computable general equilibrium model and calibrated it with the latest provincial-level social accounting matrices (2012). The study shows that meeting China's Nationally Determined Contributions through an emission trading scheme would reduce almost 30 percent of the emission reduction from the business as usual scenario in 2030. If the baseline is corrected based on information from a bottom-up energy sector model, TIMES, the required reduction of emissions from the baseline in 2030 drops by half, to 15 percent. At the national level, the emission trading scheme would cause a 1.2 to 1.5 percent reduction in gross domestic product from the business as usual scenario in 2030. If the baseline is corrected, the impact on gross domestic product drops by two-thirds. The emission trading scheme would cause some provincial economies to gain and others to lose. The economic impacts are highly sensitive to the allowance allocation rules. Not only the magnitudes, but also the directions of the economic impacts alter when the allocation rules change. The provinces that rely on coal mining or coal-intensive manufacturing industries are found to experience relatively larger economic losses irrespective of the allowance allocation rules</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pang, Jun</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Timilsina, Govinda</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Pang, Jun</subfield><subfield code="t">Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme: A Regional CGE Modeling Analysis</subfield><subfield code="d">Washington, D.C : The World Bank, 2019</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1596/1813-9450-8909</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-WBA</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033654575</subfield></datafield></record></collection> |
id | DE-604.BV048274380 |
illustrated | Not Illustrated |
index_date | 2024-07-03T20:00:11Z |
indexdate | 2024-10-12T04:02:42Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033654575 |
oclc_num | 1334058371 |
open_access_boolean | 1 |
owner | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
owner_facet | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
physical | 1 Online-Ressource (62 Seiten) |
psigel | ZDB-1-WBA |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | The World Bank |
record_format | marc |
series2 | World Bank E-Library Archive |
spellingShingle | Pang, Jun Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme A Regional CGE Modeling Analysis |
title | Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme A Regional CGE Modeling Analysis |
title_auth | Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme A Regional CGE Modeling Analysis |
title_exact_search | Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme A Regional CGE Modeling Analysis |
title_exact_search_txtP | Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme A Regional CGE Modeling Analysis |
title_full | Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme A Regional CGE Modeling Analysis Jun Pang |
title_fullStr | Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme A Regional CGE Modeling Analysis Jun Pang |
title_full_unstemmed | Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme A Regional CGE Modeling Analysis Jun Pang |
title_short | Implications for Provincial Economies of Meeting China's NDC through an Emission Trading Scheme |
title_sort | implications for provincial economies of meeting china s ndc through an emission trading scheme a regional cge modeling analysis |
title_sub | A Regional CGE Modeling Analysis |
url | https://doi.org/10.1596/1813-9450-8909 |
work_keys_str_mv | AT pangjun implicationsforprovincialeconomiesofmeetingchinasndcthroughanemissiontradingschemearegionalcgemodelinganalysis AT timilsinagovinda implicationsforprovincialeconomiesofmeetingchinasndcthroughanemissiontradingschemearegionalcgemodelinganalysis |