Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline
Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data...
Ausführliche Beschreibung
Autor*in: |
Qi, Wei [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2021transfer abstract |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: Tau kinetics in the human cns - Sato, Chihiro ELSEVIER, 2015, putting the world's human and physical resource problems in a geographical perspective, New York, NY [u.a.] |
---|---|
Übergeordnetes Werk: |
volume:135 ; year:2021 ; pages:0 |
Links: |
---|
DOI / URN: |
10.1016/j.apgeog.2021.102564 |
---|
Katalog-ID: |
ELV055335802 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV055335802 | ||
003 | DE-627 | ||
005 | 20230626041531.0 | ||
007 | cr uuu---uuuuu | ||
008 | 220105s2021 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.apgeog.2021.102564 |2 doi | |
028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001531.pica |
035 | |a (DE-627)ELV055335802 | ||
035 | |a (ELSEVIER)S0143-6228(21)00180-6 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 610 |q VZ |
082 | 0 | 4 | |a 530 |q VZ |
084 | |a 52.56 |2 bkl | ||
100 | 1 | |a Qi, Wei |e verfasserin |4 aut | |
245 | 1 | 0 | |a Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline |
264 | 1 | |c 2021transfer abstract | |
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 Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. | ||
520 | |a Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. | ||
650 | 7 | |a Geographic transformation |2 Elsevier | |
650 | 7 | |a China |2 Elsevier | |
650 | 7 | |a Population migration |2 Elsevier | |
650 | 7 | |a Internal migration |2 Elsevier | |
650 | 7 | |a Population distribution |2 Elsevier | |
650 | 7 | |a Migration centerline |2 Elsevier | |
700 | 1 | |a Abel, Guy J. |4 oth | |
700 | 1 | |a Liu, Shenghe |4 oth | |
773 | 0 | 8 | |i Enthalten in |n Elsevier |a Sato, Chihiro ELSEVIER |t Tau kinetics in the human cns |d 2015 |d putting the world's human and physical resource problems in a geographical perspective |g New York, NY [u.a.] |w (DE-627)ELV01283484X |
773 | 1 | 8 | |g volume:135 |g year:2021 |g pages:0 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.apgeog.2021.102564 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_2547 | ||
936 | b | k | |a 52.56 |j Regenerative Energieformen |j alternative Energieformen |q VZ |
951 | |a AR | ||
952 | |d 135 |j 2021 |h 0 |
author_variant |
w q wq |
---|---|
matchkey_str |
qiweiabelguyjliushenghe:2021----:egahcrnfrainfhnsnenlouainirtofo19t21isg |
hierarchy_sort_str |
2021transfer abstract |
bklnumber |
52.56 |
publishDate |
2021 |
allfields |
10.1016/j.apgeog.2021.102564 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001531.pica (DE-627)ELV055335802 (ELSEVIER)S0143-6228(21)00180-6 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 52.56 bkl Qi, Wei verfasserin aut Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. Geographic transformation Elsevier China Elsevier Population migration Elsevier Internal migration Elsevier Population distribution Elsevier Migration centerline Elsevier Abel, Guy J. oth Liu, Shenghe oth Enthalten in Elsevier Sato, Chihiro ELSEVIER Tau kinetics in the human cns 2015 putting the world's human and physical resource problems in a geographical perspective New York, NY [u.a.] (DE-627)ELV01283484X volume:135 year:2021 pages:0 https://doi.org/10.1016/j.apgeog.2021.102564 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_70 GBV_ILN_2547 52.56 Regenerative Energieformen alternative Energieformen VZ AR 135 2021 0 |
spelling |
10.1016/j.apgeog.2021.102564 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001531.pica (DE-627)ELV055335802 (ELSEVIER)S0143-6228(21)00180-6 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 52.56 bkl Qi, Wei verfasserin aut Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. Geographic transformation Elsevier China Elsevier Population migration Elsevier Internal migration Elsevier Population distribution Elsevier Migration centerline Elsevier Abel, Guy J. oth Liu, Shenghe oth Enthalten in Elsevier Sato, Chihiro ELSEVIER Tau kinetics in the human cns 2015 putting the world's human and physical resource problems in a geographical perspective New York, NY [u.a.] (DE-627)ELV01283484X volume:135 year:2021 pages:0 https://doi.org/10.1016/j.apgeog.2021.102564 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_70 GBV_ILN_2547 52.56 Regenerative Energieformen alternative Energieformen VZ AR 135 2021 0 |
allfields_unstemmed |
10.1016/j.apgeog.2021.102564 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001531.pica (DE-627)ELV055335802 (ELSEVIER)S0143-6228(21)00180-6 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 52.56 bkl Qi, Wei verfasserin aut Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. Geographic transformation Elsevier China Elsevier Population migration Elsevier Internal migration Elsevier Population distribution Elsevier Migration centerline Elsevier Abel, Guy J. oth Liu, Shenghe oth Enthalten in Elsevier Sato, Chihiro ELSEVIER Tau kinetics in the human cns 2015 putting the world's human and physical resource problems in a geographical perspective New York, NY [u.a.] (DE-627)ELV01283484X volume:135 year:2021 pages:0 https://doi.org/10.1016/j.apgeog.2021.102564 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_70 GBV_ILN_2547 52.56 Regenerative Energieformen alternative Energieformen VZ AR 135 2021 0 |
allfieldsGer |
10.1016/j.apgeog.2021.102564 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001531.pica (DE-627)ELV055335802 (ELSEVIER)S0143-6228(21)00180-6 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 52.56 bkl Qi, Wei verfasserin aut Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. Geographic transformation Elsevier China Elsevier Population migration Elsevier Internal migration Elsevier Population distribution Elsevier Migration centerline Elsevier Abel, Guy J. oth Liu, Shenghe oth Enthalten in Elsevier Sato, Chihiro ELSEVIER Tau kinetics in the human cns 2015 putting the world's human and physical resource problems in a geographical perspective New York, NY [u.a.] (DE-627)ELV01283484X volume:135 year:2021 pages:0 https://doi.org/10.1016/j.apgeog.2021.102564 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_70 GBV_ILN_2547 52.56 Regenerative Energieformen alternative Energieformen VZ AR 135 2021 0 |
allfieldsSound |
10.1016/j.apgeog.2021.102564 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001531.pica (DE-627)ELV055335802 (ELSEVIER)S0143-6228(21)00180-6 DE-627 ger DE-627 rakwb eng 610 VZ 530 VZ 52.56 bkl Qi, Wei verfasserin aut Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. Geographic transformation Elsevier China Elsevier Population migration Elsevier Internal migration Elsevier Population distribution Elsevier Migration centerline Elsevier Abel, Guy J. oth Liu, Shenghe oth Enthalten in Elsevier Sato, Chihiro ELSEVIER Tau kinetics in the human cns 2015 putting the world's human and physical resource problems in a geographical perspective New York, NY [u.a.] (DE-627)ELV01283484X volume:135 year:2021 pages:0 https://doi.org/10.1016/j.apgeog.2021.102564 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_70 GBV_ILN_2547 52.56 Regenerative Energieformen alternative Energieformen VZ AR 135 2021 0 |
language |
English |
source |
Enthalten in Tau kinetics in the human cns New York, NY [u.a.] volume:135 year:2021 pages:0 |
sourceStr |
Enthalten in Tau kinetics in the human cns New York, NY [u.a.] volume:135 year:2021 pages:0 |
format_phy_str_mv |
Article |
bklname |
Regenerative Energieformen alternative Energieformen |
institution |
findex.gbv.de |
topic_facet |
Geographic transformation China Population migration Internal migration Population distribution Migration centerline |
dewey-raw |
610 |
isfreeaccess_bool |
false |
container_title |
Tau kinetics in the human cns |
authorswithroles_txt_mv |
Qi, Wei @@aut@@ Abel, Guy J. @@oth@@ Liu, Shenghe @@oth@@ |
publishDateDaySort_date |
2021-01-01T00:00:00Z |
hierarchy_top_id |
ELV01283484X |
dewey-sort |
3610 |
id |
ELV055335802 |
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">ELV055335802</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626041531.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220105s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.apgeog.2021.102564</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/GBV00000000001531.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV055335802</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0143-6228(21)00180-6</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">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.56</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Qi, Wei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021transfer abstract</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">Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Geographic transformation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">China</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Population migration</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Internal migration</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Population distribution</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Migration centerline</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Abel, Guy J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Shenghe</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Sato, Chihiro ELSEVIER</subfield><subfield code="t">Tau kinetics in the human cns</subfield><subfield code="d">2015</subfield><subfield code="d">putting the world's human and physical resource problems in a geographical perspective</subfield><subfield code="g">New York, NY [u.a.]</subfield><subfield code="w">(DE-627)ELV01283484X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:135</subfield><subfield code="g">year:2021</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.apgeog.2021.102564</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="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2547</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.56</subfield><subfield code="j">Regenerative Energieformen</subfield><subfield code="j">alternative Energieformen</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">135</subfield><subfield code="j">2021</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
author |
Qi, Wei |
spellingShingle |
Qi, Wei ddc 610 ddc 530 bkl 52.56 Elsevier Geographic transformation Elsevier China Elsevier Population migration Elsevier Internal migration Elsevier Population distribution Elsevier Migration centerline Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline |
authorStr |
Qi, Wei |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV01283484X |
format |
electronic Article |
dewey-ones |
610 - Medicine & health 530 - Physics |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
610 VZ 530 VZ 52.56 bkl Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline Geographic transformation Elsevier China Elsevier Population migration Elsevier Internal migration Elsevier Population distribution Elsevier Migration centerline Elsevier |
topic |
ddc 610 ddc 530 bkl 52.56 Elsevier Geographic transformation Elsevier China Elsevier Population migration Elsevier Internal migration Elsevier Population distribution Elsevier Migration centerline |
topic_unstemmed |
ddc 610 ddc 530 bkl 52.56 Elsevier Geographic transformation Elsevier China Elsevier Population migration Elsevier Internal migration Elsevier Population distribution Elsevier Migration centerline |
topic_browse |
ddc 610 ddc 530 bkl 52.56 Elsevier Geographic transformation Elsevier China Elsevier Population migration Elsevier Internal migration Elsevier Population distribution Elsevier Migration centerline |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
g j a gj gja s l sl |
hierarchy_parent_title |
Tau kinetics in the human cns |
hierarchy_parent_id |
ELV01283484X |
dewey-tens |
610 - Medicine & health 530 - Physics |
hierarchy_top_title |
Tau kinetics in the human cns |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV01283484X |
title |
Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline |
ctrlnum |
(DE-627)ELV055335802 (ELSEVIER)S0143-6228(21)00180-6 |
title_full |
Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline |
author_sort |
Qi, Wei |
journal |
Tau kinetics in the human cns |
journalStr |
Tau kinetics in the human cns |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
600 - Technology 500 - Science |
recordtype |
marc |
publishDateSort |
2021 |
contenttype_str_mv |
zzz |
container_start_page |
0 |
author_browse |
Qi, Wei |
container_volume |
135 |
class |
610 VZ 530 VZ 52.56 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Qi, Wei |
doi_str_mv |
10.1016/j.apgeog.2021.102564 |
dewey-full |
610 530 |
title_sort |
geographic transformation of china's internal population migration from 1995 to 2015: insights from the migration centerline |
title_auth |
Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline |
abstract |
Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. |
abstractGer |
Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. |
abstract_unstemmed |
Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_70 GBV_ILN_2547 |
title_short |
Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline |
url |
https://doi.org/10.1016/j.apgeog.2021.102564 |
remote_bool |
true |
author2 |
Abel, Guy J. Liu, Shenghe |
author2Str |
Abel, Guy J. Liu, Shenghe |
ppnlink |
ELV01283484X |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth |
doi_str |
10.1016/j.apgeog.2021.102564 |
up_date |
2024-07-06T17:15:50.230Z |
_version_ |
1803850770266718208 |
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">ELV055335802</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626041531.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220105s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.apgeog.2021.102564</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/GBV00000000001531.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV055335802</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0143-6228(21)00180-6</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">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.56</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Qi, Wei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Geographic transformation of China's internal population migration from 1995 to 2015: Insights from the migration centerline</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021transfer abstract</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">Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Internal population migration in China is one of the most dramatic in the world. To understand the geographic dynamics of the Chinese population migration, we present a revised method called the migration centerline based on the definition of the geographic mean center of the population. Using data from the population censuses and one-percent sample surveys from 1995 to 2015, this study aims to reveal the spatial dynamics and contributors to population movements in China. The main results are as follows. (1) The directions of the population migration centerlines consistently point southeast, while the in- and out-migration centers for the five-year and non-hukou population migrations move north, especially from 2000 to 2010. After 2010, the west-oriented movements of the in-migration centers become pronounced, and migration distances generally decline. Five-year population migration towards the north increases from 2010 to 2015, whereas the non-hukou populations increased in the south in 2015. (2) The main contributors to in-migration centers are the coastal provinces, whereas out-migration centers are mostly inland provinces. (3) The geographic transformation of population migration centerlines is connected to changes in China's economic and population centers, moving south, leading to stable southeast-oriented migrations. In addition, the locations of migration centerlines are consistently further south compared with those of population centers. The migration centerline provides an intuitive and straightforward means for examining the geographic transformation of China's internal population migration and can be applied to various types of human mobilities based on different definitions or multiple spatial scales.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Geographic transformation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">China</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Population migration</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Internal migration</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Population distribution</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Migration centerline</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Abel, Guy J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Shenghe</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Sato, Chihiro ELSEVIER</subfield><subfield code="t">Tau kinetics in the human cns</subfield><subfield code="d">2015</subfield><subfield code="d">putting the world's human and physical resource problems in a geographical perspective</subfield><subfield code="g">New York, NY [u.a.]</subfield><subfield code="w">(DE-627)ELV01283484X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:135</subfield><subfield code="g">year:2021</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.apgeog.2021.102564</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="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2547</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.56</subfield><subfield code="j">Regenerative Energieformen</subfield><subfield code="j">alternative Energieformen</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">135</subfield><subfield code="j">2021</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
score |
7.4005623 |