What cause regional inequality of technology innovation in renewable energy? Evidence from China
• Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhao, Ge [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Risky business: Psychopathy, framing effects, and financial outcomes - Costello, Thomas H. ELSEVIER, 2018, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:310 ; year:2022 ; day:15 ; month:03 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.apenergy.2021.118464 |
|---|
| Katalog-ID: |
ELV056891776 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV056891776 | ||
| 003 | DE-627 | ||
| 005 | 20230624235113.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220808s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.apenergy.2021.118464 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001959.pica |
| 035 | |a (DE-627)ELV056891776 | ||
| 035 | |a (ELSEVIER)S0306-2619(21)01689-5 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 150 |a 300 |q VZ |
| 084 | |a 77.52 |2 bkl | ||
| 100 | 1 | |a Zhao, Ge |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a What cause regional inequality of technology innovation in renewable energy? Evidence from China |
| 264 | 1 | |c 2022 | |
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a • Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors. | ||
| 650 | 7 | |a Technology innovation inequality |2 Elsevier | |
| 650 | 7 | |a Wind energy |2 Elsevier | |
| 650 | 7 | |a Renewable energy |2 Elsevier | |
| 650 | 7 | |a Shapley decomposition |2 Elsevier | |
| 650 | 7 | |a Photovoltaic energy |2 Elsevier | |
| 650 | 7 | |a Gini coefficient |2 Elsevier | |
| 700 | 1 | |a Zhou, P. |4 oth | |
| 700 | 1 | |a Wen, Wen |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Costello, Thomas H. ELSEVIER |t Risky business: Psychopathy, framing effects, and financial outcomes |d 2018 |g Amsterdam [u.a.] |w (DE-627)ELV001651005 |
| 773 | 1 | 8 | |g volume:310 |g year:2022 |g day:15 |g month:03 |g pages:0 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.apenergy.2021.118464 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 936 | b | k | |a 77.52 |j Differentielle Psychologie |q VZ |
| 951 | |a AR | ||
| 952 | |d 310 |j 2022 |b 15 |c 0315 |h 0 | ||
| author_variant |
g z gz |
|---|---|
| matchkey_str |
zhaogezhoupwenwen:2022----:htasrgoaieultotcnlginvtoirnwbe |
| hierarchy_sort_str |
2022 |
| bklnumber |
77.52 |
| publishDate |
2022 |
| allfields |
10.1016/j.apenergy.2021.118464 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001959.pica (DE-627)ELV056891776 (ELSEVIER)S0306-2619(21)01689-5 DE-627 ger DE-627 rakwb eng 150 300 VZ 77.52 bkl Zhao, Ge verfasserin aut What cause regional inequality of technology innovation in renewable energy? Evidence from China 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors. Technology innovation inequality Elsevier Wind energy Elsevier Renewable energy Elsevier Shapley decomposition Elsevier Photovoltaic energy Elsevier Gini coefficient Elsevier Zhou, P. oth Wen, Wen oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:310 year:2022 day:15 month:03 pages:0 https://doi.org/10.1016/j.apenergy.2021.118464 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 310 2022 15 0315 0 |
| spelling |
10.1016/j.apenergy.2021.118464 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001959.pica (DE-627)ELV056891776 (ELSEVIER)S0306-2619(21)01689-5 DE-627 ger DE-627 rakwb eng 150 300 VZ 77.52 bkl Zhao, Ge verfasserin aut What cause regional inequality of technology innovation in renewable energy? Evidence from China 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors. Technology innovation inequality Elsevier Wind energy Elsevier Renewable energy Elsevier Shapley decomposition Elsevier Photovoltaic energy Elsevier Gini coefficient Elsevier Zhou, P. oth Wen, Wen oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:310 year:2022 day:15 month:03 pages:0 https://doi.org/10.1016/j.apenergy.2021.118464 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 310 2022 15 0315 0 |
| allfields_unstemmed |
10.1016/j.apenergy.2021.118464 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001959.pica (DE-627)ELV056891776 (ELSEVIER)S0306-2619(21)01689-5 DE-627 ger DE-627 rakwb eng 150 300 VZ 77.52 bkl Zhao, Ge verfasserin aut What cause regional inequality of technology innovation in renewable energy? Evidence from China 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors. Technology innovation inequality Elsevier Wind energy Elsevier Renewable energy Elsevier Shapley decomposition Elsevier Photovoltaic energy Elsevier Gini coefficient Elsevier Zhou, P. oth Wen, Wen oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:310 year:2022 day:15 month:03 pages:0 https://doi.org/10.1016/j.apenergy.2021.118464 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 310 2022 15 0315 0 |
| allfieldsGer |
10.1016/j.apenergy.2021.118464 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001959.pica (DE-627)ELV056891776 (ELSEVIER)S0306-2619(21)01689-5 DE-627 ger DE-627 rakwb eng 150 300 VZ 77.52 bkl Zhao, Ge verfasserin aut What cause regional inequality of technology innovation in renewable energy? Evidence from China 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors. Technology innovation inequality Elsevier Wind energy Elsevier Renewable energy Elsevier Shapley decomposition Elsevier Photovoltaic energy Elsevier Gini coefficient Elsevier Zhou, P. oth Wen, Wen oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:310 year:2022 day:15 month:03 pages:0 https://doi.org/10.1016/j.apenergy.2021.118464 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 310 2022 15 0315 0 |
| allfieldsSound |
10.1016/j.apenergy.2021.118464 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001959.pica (DE-627)ELV056891776 (ELSEVIER)S0306-2619(21)01689-5 DE-627 ger DE-627 rakwb eng 150 300 VZ 77.52 bkl Zhao, Ge verfasserin aut What cause regional inequality of technology innovation in renewable energy? Evidence from China 2022 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors. Technology innovation inequality Elsevier Wind energy Elsevier Renewable energy Elsevier Shapley decomposition Elsevier Photovoltaic energy Elsevier Gini coefficient Elsevier Zhou, P. oth Wen, Wen oth Enthalten in Elsevier Science Costello, Thomas H. ELSEVIER Risky business: Psychopathy, framing effects, and financial outcomes 2018 Amsterdam [u.a.] (DE-627)ELV001651005 volume:310 year:2022 day:15 month:03 pages:0 https://doi.org/10.1016/j.apenergy.2021.118464 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 77.52 Differentielle Psychologie VZ AR 310 2022 15 0315 0 |
| language |
English |
| source |
Enthalten in Risky business: Psychopathy, framing effects, and financial outcomes Amsterdam [u.a.] volume:310 year:2022 day:15 month:03 pages:0 |
| sourceStr |
Enthalten in Risky business: Psychopathy, framing effects, and financial outcomes Amsterdam [u.a.] volume:310 year:2022 day:15 month:03 pages:0 |
| format_phy_str_mv |
Article |
| bklname |
Differentielle Psychologie |
| institution |
findex.gbv.de |
| topic_facet |
Technology innovation inequality Wind energy Renewable energy Shapley decomposition Photovoltaic energy Gini coefficient |
| dewey-raw |
150 |
| isfreeaccess_bool |
false |
| container_title |
Risky business: Psychopathy, framing effects, and financial outcomes |
| authorswithroles_txt_mv |
Zhao, Ge @@aut@@ Zhou, P. @@oth@@ Wen, Wen @@oth@@ |
| publishDateDaySort_date |
2022-01-15T00:00:00Z |
| hierarchy_top_id |
ELV001651005 |
| dewey-sort |
3150 |
| id |
ELV056891776 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV056891776</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624235113.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220808s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.apenergy.2021.118464</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001959.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV056891776</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0306-2619(21)01689-5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">150</subfield><subfield code="a">300</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">77.52</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhao, Ge</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">What cause regional inequality of technology innovation in renewable energy? Evidence from China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology innovation inequality</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Wind energy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Renewable energy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Shapley decomposition</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Photovoltaic energy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Gini coefficient</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhou, P.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wen, Wen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Costello, Thomas H. ELSEVIER</subfield><subfield code="t">Risky business: Psychopathy, framing effects, and financial outcomes</subfield><subfield code="d">2018</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV001651005</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:310</subfield><subfield code="g">year:2022</subfield><subfield code="g">day:15</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.apenergy.2021.118464</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">77.52</subfield><subfield code="j">Differentielle Psychologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">310</subfield><subfield code="j">2022</subfield><subfield code="b">15</subfield><subfield code="c">0315</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| author |
Zhao, Ge |
| spellingShingle |
Zhao, Ge ddc 150 bkl 77.52 Elsevier Technology innovation inequality Elsevier Wind energy Elsevier Renewable energy Elsevier Shapley decomposition Elsevier Photovoltaic energy Elsevier Gini coefficient What cause regional inequality of technology innovation in renewable energy? Evidence from China |
| authorStr |
Zhao, Ge |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV001651005 |
| format |
electronic Article |
| dewey-ones |
150 - Psychology 300 - Social sciences |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
150 300 VZ 77.52 bkl What cause regional inequality of technology innovation in renewable energy? Evidence from China Technology innovation inequality Elsevier Wind energy Elsevier Renewable energy Elsevier Shapley decomposition Elsevier Photovoltaic energy Elsevier Gini coefficient Elsevier |
| topic |
ddc 150 bkl 77.52 Elsevier Technology innovation inequality Elsevier Wind energy Elsevier Renewable energy Elsevier Shapley decomposition Elsevier Photovoltaic energy Elsevier Gini coefficient |
| topic_unstemmed |
ddc 150 bkl 77.52 Elsevier Technology innovation inequality Elsevier Wind energy Elsevier Renewable energy Elsevier Shapley decomposition Elsevier Photovoltaic energy Elsevier Gini coefficient |
| topic_browse |
ddc 150 bkl 77.52 Elsevier Technology innovation inequality Elsevier Wind energy Elsevier Renewable energy Elsevier Shapley decomposition Elsevier Photovoltaic energy Elsevier Gini coefficient |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
p z pz w w ww |
| hierarchy_parent_title |
Risky business: Psychopathy, framing effects, and financial outcomes |
| hierarchy_parent_id |
ELV001651005 |
| dewey-tens |
150 - Psychology 300 - Social sciences, sociology & anthropology |
| hierarchy_top_title |
Risky business: Psychopathy, framing effects, and financial outcomes |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV001651005 |
| title |
What cause regional inequality of technology innovation in renewable energy? Evidence from China |
| ctrlnum |
(DE-627)ELV056891776 (ELSEVIER)S0306-2619(21)01689-5 |
| title_full |
What cause regional inequality of technology innovation in renewable energy? Evidence from China |
| author_sort |
Zhao, Ge |
| journal |
Risky business: Psychopathy, framing effects, and financial outcomes |
| journalStr |
Risky business: Psychopathy, framing effects, and financial outcomes |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
100 - Philosophy & psychology 300 - Social sciences |
| recordtype |
marc |
| publishDateSort |
2022 |
| contenttype_str_mv |
zzz |
| container_start_page |
0 |
| author_browse |
Zhao, Ge |
| container_volume |
310 |
| class |
150 300 VZ 77.52 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Zhao, Ge |
| doi_str_mv |
10.1016/j.apenergy.2021.118464 |
| dewey-full |
150 300 |
| title_sort |
what cause regional inequality of technology innovation in renewable energy? evidence from china |
| title_auth |
What cause regional inequality of technology innovation in renewable energy? Evidence from China |
| abstract |
• Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors. |
| abstractGer |
• Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors. |
| abstract_unstemmed |
• Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
What cause regional inequality of technology innovation in renewable energy? Evidence from China |
| url |
https://doi.org/10.1016/j.apenergy.2021.118464 |
| remote_bool |
true |
| author2 |
Zhou, P. Wen, Wen |
| author2Str |
Zhou, P. Wen, Wen |
| ppnlink |
ELV001651005 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth |
| doi_str |
10.1016/j.apenergy.2021.118464 |
| up_date |
2024-07-06T21:41:20.951Z |
| _version_ |
1803867474836324352 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV056891776</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624235113.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220808s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.apenergy.2021.118464</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001959.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV056891776</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0306-2619(21)01689-5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">150</subfield><subfield code="a">300</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">77.52</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhao, Ge</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">What cause regional inequality of technology innovation in renewable energy? Evidence from China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Inequality of renewable technology innovation is evaluated by Gini coefficients. • Contributors to renewable innovation inequality are decomposed by Shapley method. • Variables of regional attributes, policies and official characteristics are proposed. • Knowledge stock and R&D expenditure are the greatest contributors. • Energy-related experience and tenure of officials may be potential contributors.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology innovation inequality</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Wind energy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Renewable energy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Shapley decomposition</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Photovoltaic energy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Gini coefficient</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhou, P.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wen, Wen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Costello, Thomas H. ELSEVIER</subfield><subfield code="t">Risky business: Psychopathy, framing effects, and financial outcomes</subfield><subfield code="d">2018</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV001651005</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:310</subfield><subfield code="g">year:2022</subfield><subfield code="g">day:15</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.apenergy.2021.118464</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">77.52</subfield><subfield code="j">Differentielle Psychologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">310</subfield><subfield code="j">2022</subfield><subfield code="b">15</subfield><subfield code="c">0315</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| score |
7.399331 |