A new approach to measurement of regional inequality in particular directions
Abstract Regional inequality is a core issue in geography, and it can be measured by several approaches and indexes. However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particula...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Yang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Anmerkung: |
© Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg 2012 |
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| Übergeordnetes Werk: |
Enthalten in: Chinese geographical science - Beijing : Science Press, 1991, 22(2012), 6 vom: 19. Juli, Seite 705-717 |
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| Übergeordnetes Werk: |
volume:22 ; year:2012 ; number:6 ; day:19 ; month:07 ; pages:705-717 |
| Links: |
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| DOI / URN: |
10.1007/s11769-012-0556-7 |
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| Katalog-ID: |
SPR022321810 |
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| 245 | 1 | 2 | |a A new approach to measurement of regional inequality in particular directions |
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| 520 | |a Abstract Regional inequality is a core issue in geography, and it can be measured by several approaches and indexes. However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particular directions. Although conventional between-group inequality indexes can measure the inequality in particular directions, they can not reflect the reversals of regional patterns and changes of within-group patterns. Therefore, we set forth a new approach to measure regional inequality in particular directions, which is applicable to geographic field. Based on grouping, we established a new index to measure regional inequality in particular directions named Particular Direction Inequality index (PDI index), which is comprised of between-group inequality of all data and between-group average gap. It can reflect regional spatiality and non-mobility, judge the main direction of regional inequality, and capture the changes and reversals of regional patterns. We used the PDI index to measure the changes of regional inequality from 1952 to 2009 in China. The results show that: 1) the main direction of China’s regional inequality was between coastal areas and inland areas; the increasing extent of inequality between coastal areas and inland areas was higher than the global inequality; 2) the PDI index can measure the between-region average gap, and is more sensitive to evolution of within-region patterns; 3) the inequality between the northern China and the southern China has been decreasing from 1952 to 2009 and was reversed in 1994 and 1995. | ||
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| 700 | 1 | |a Liu, Daqian |4 aut | |
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10.1007/s11769-012-0556-7 doi (DE-627)SPR022321810 (SPR)s11769-012-0556-7-e DE-627 ger DE-627 rakwb eng Wang, Yang verfasserin aut A new approach to measurement of regional inequality in particular directions 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg 2012 Abstract Regional inequality is a core issue in geography, and it can be measured by several approaches and indexes. However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particular directions. Although conventional between-group inequality indexes can measure the inequality in particular directions, they can not reflect the reversals of regional patterns and changes of within-group patterns. Therefore, we set forth a new approach to measure regional inequality in particular directions, which is applicable to geographic field. Based on grouping, we established a new index to measure regional inequality in particular directions named Particular Direction Inequality index (PDI index), which is comprised of between-group inequality of all data and between-group average gap. It can reflect regional spatiality and non-mobility, judge the main direction of regional inequality, and capture the changes and reversals of regional patterns. We used the PDI index to measure the changes of regional inequality from 1952 to 2009 in China. The results show that: 1) the main direction of China’s regional inequality was between coastal areas and inland areas; the increasing extent of inequality between coastal areas and inland areas was higher than the global inequality; 2) the PDI index can measure the between-region average gap, and is more sensitive to evolution of within-region patterns; 3) the inequality between the northern China and the southern China has been decreasing from 1952 to 2009 and was reversed in 1994 and 1995. regional inequality (dpeaa)DE-He213 inequality indexes (dpeaa)DE-He213 PDI index (dpeaa)DE-He213 particular directions (dpeaa)DE-He213 China (dpeaa)DE-He213 Fang, Chuanglin aut Xiu, Chunliang aut Liu, Daqian aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 22(2012), 6 vom: 19. Juli, Seite 705-717 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:22 year:2012 number:6 day:19 month:07 pages:705-717 https://dx.doi.org/10.1007/s11769-012-0556-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2012 6 19 07 705-717 |
| spelling |
10.1007/s11769-012-0556-7 doi (DE-627)SPR022321810 (SPR)s11769-012-0556-7-e DE-627 ger DE-627 rakwb eng Wang, Yang verfasserin aut A new approach to measurement of regional inequality in particular directions 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg 2012 Abstract Regional inequality is a core issue in geography, and it can be measured by several approaches and indexes. However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particular directions. Although conventional between-group inequality indexes can measure the inequality in particular directions, they can not reflect the reversals of regional patterns and changes of within-group patterns. Therefore, we set forth a new approach to measure regional inequality in particular directions, which is applicable to geographic field. Based on grouping, we established a new index to measure regional inequality in particular directions named Particular Direction Inequality index (PDI index), which is comprised of between-group inequality of all data and between-group average gap. It can reflect regional spatiality and non-mobility, judge the main direction of regional inequality, and capture the changes and reversals of regional patterns. We used the PDI index to measure the changes of regional inequality from 1952 to 2009 in China. The results show that: 1) the main direction of China’s regional inequality was between coastal areas and inland areas; the increasing extent of inequality between coastal areas and inland areas was higher than the global inequality; 2) the PDI index can measure the between-region average gap, and is more sensitive to evolution of within-region patterns; 3) the inequality between the northern China and the southern China has been decreasing from 1952 to 2009 and was reversed in 1994 and 1995. regional inequality (dpeaa)DE-He213 inequality indexes (dpeaa)DE-He213 PDI index (dpeaa)DE-He213 particular directions (dpeaa)DE-He213 China (dpeaa)DE-He213 Fang, Chuanglin aut Xiu, Chunliang aut Liu, Daqian aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 22(2012), 6 vom: 19. Juli, Seite 705-717 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:22 year:2012 number:6 day:19 month:07 pages:705-717 https://dx.doi.org/10.1007/s11769-012-0556-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2012 6 19 07 705-717 |
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10.1007/s11769-012-0556-7 doi (DE-627)SPR022321810 (SPR)s11769-012-0556-7-e DE-627 ger DE-627 rakwb eng Wang, Yang verfasserin aut A new approach to measurement of regional inequality in particular directions 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg 2012 Abstract Regional inequality is a core issue in geography, and it can be measured by several approaches and indexes. However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particular directions. Although conventional between-group inequality indexes can measure the inequality in particular directions, they can not reflect the reversals of regional patterns and changes of within-group patterns. Therefore, we set forth a new approach to measure regional inequality in particular directions, which is applicable to geographic field. Based on grouping, we established a new index to measure regional inequality in particular directions named Particular Direction Inequality index (PDI index), which is comprised of between-group inequality of all data and between-group average gap. It can reflect regional spatiality and non-mobility, judge the main direction of regional inequality, and capture the changes and reversals of regional patterns. We used the PDI index to measure the changes of regional inequality from 1952 to 2009 in China. The results show that: 1) the main direction of China’s regional inequality was between coastal areas and inland areas; the increasing extent of inequality between coastal areas and inland areas was higher than the global inequality; 2) the PDI index can measure the between-region average gap, and is more sensitive to evolution of within-region patterns; 3) the inequality between the northern China and the southern China has been decreasing from 1952 to 2009 and was reversed in 1994 and 1995. regional inequality (dpeaa)DE-He213 inequality indexes (dpeaa)DE-He213 PDI index (dpeaa)DE-He213 particular directions (dpeaa)DE-He213 China (dpeaa)DE-He213 Fang, Chuanglin aut Xiu, Chunliang aut Liu, Daqian aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 22(2012), 6 vom: 19. Juli, Seite 705-717 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:22 year:2012 number:6 day:19 month:07 pages:705-717 https://dx.doi.org/10.1007/s11769-012-0556-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2012 6 19 07 705-717 |
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10.1007/s11769-012-0556-7 doi (DE-627)SPR022321810 (SPR)s11769-012-0556-7-e DE-627 ger DE-627 rakwb eng Wang, Yang verfasserin aut A new approach to measurement of regional inequality in particular directions 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg 2012 Abstract Regional inequality is a core issue in geography, and it can be measured by several approaches and indexes. However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particular directions. Although conventional between-group inequality indexes can measure the inequality in particular directions, they can not reflect the reversals of regional patterns and changes of within-group patterns. Therefore, we set forth a new approach to measure regional inequality in particular directions, which is applicable to geographic field. Based on grouping, we established a new index to measure regional inequality in particular directions named Particular Direction Inequality index (PDI index), which is comprised of between-group inequality of all data and between-group average gap. It can reflect regional spatiality and non-mobility, judge the main direction of regional inequality, and capture the changes and reversals of regional patterns. We used the PDI index to measure the changes of regional inequality from 1952 to 2009 in China. The results show that: 1) the main direction of China’s regional inequality was between coastal areas and inland areas; the increasing extent of inequality between coastal areas and inland areas was higher than the global inequality; 2) the PDI index can measure the between-region average gap, and is more sensitive to evolution of within-region patterns; 3) the inequality between the northern China and the southern China has been decreasing from 1952 to 2009 and was reversed in 1994 and 1995. regional inequality (dpeaa)DE-He213 inequality indexes (dpeaa)DE-He213 PDI index (dpeaa)DE-He213 particular directions (dpeaa)DE-He213 China (dpeaa)DE-He213 Fang, Chuanglin aut Xiu, Chunliang aut Liu, Daqian aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 22(2012), 6 vom: 19. Juli, Seite 705-717 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:22 year:2012 number:6 day:19 month:07 pages:705-717 https://dx.doi.org/10.1007/s11769-012-0556-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2012 6 19 07 705-717 |
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10.1007/s11769-012-0556-7 doi (DE-627)SPR022321810 (SPR)s11769-012-0556-7-e DE-627 ger DE-627 rakwb eng Wang, Yang verfasserin aut A new approach to measurement of regional inequality in particular directions 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg 2012 Abstract Regional inequality is a core issue in geography, and it can be measured by several approaches and indexes. However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particular directions. Although conventional between-group inequality indexes can measure the inequality in particular directions, they can not reflect the reversals of regional patterns and changes of within-group patterns. Therefore, we set forth a new approach to measure regional inequality in particular directions, which is applicable to geographic field. Based on grouping, we established a new index to measure regional inequality in particular directions named Particular Direction Inequality index (PDI index), which is comprised of between-group inequality of all data and between-group average gap. It can reflect regional spatiality and non-mobility, judge the main direction of regional inequality, and capture the changes and reversals of regional patterns. We used the PDI index to measure the changes of regional inequality from 1952 to 2009 in China. The results show that: 1) the main direction of China’s regional inequality was between coastal areas and inland areas; the increasing extent of inequality between coastal areas and inland areas was higher than the global inequality; 2) the PDI index can measure the between-region average gap, and is more sensitive to evolution of within-region patterns; 3) the inequality between the northern China and the southern China has been decreasing from 1952 to 2009 and was reversed in 1994 and 1995. regional inequality (dpeaa)DE-He213 inequality indexes (dpeaa)DE-He213 PDI index (dpeaa)DE-He213 particular directions (dpeaa)DE-He213 China (dpeaa)DE-He213 Fang, Chuanglin aut Xiu, Chunliang aut Liu, Daqian aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 22(2012), 6 vom: 19. Juli, Seite 705-717 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:22 year:2012 number:6 day:19 month:07 pages:705-717 https://dx.doi.org/10.1007/s11769-012-0556-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2012 6 19 07 705-717 |
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Enthalten in Chinese geographical science 22(2012), 6 vom: 19. Juli, Seite 705-717 volume:22 year:2012 number:6 day:19 month:07 pages:705-717 |
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Enthalten in Chinese geographical science 22(2012), 6 vom: 19. Juli, Seite 705-717 volume:22 year:2012 number:6 day:19 month:07 pages:705-717 |
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Wang, Yang @@aut@@ Fang, Chuanglin @@aut@@ Xiu, Chunliang @@aut@@ Liu, Daqian @@aut@@ |
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However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particular directions. Although conventional between-group inequality indexes can measure the inequality in particular directions, they can not reflect the reversals of regional patterns and changes of within-group patterns. Therefore, we set forth a new approach to measure regional inequality in particular directions, which is applicable to geographic field. Based on grouping, we established a new index to measure regional inequality in particular directions named Particular Direction Inequality index (PDI index), which is comprised of between-group inequality of all data and between-group average gap. It can reflect regional spatiality and non-mobility, judge the main direction of regional inequality, and capture the changes and reversals of regional patterns. We used the PDI index to measure the changes of regional inequality from 1952 to 2009 in China. The results show that: 1) the main direction of China’s regional inequality was between coastal areas and inland areas; the increasing extent of inequality between coastal areas and inland areas was higher than the global inequality; 2) the PDI index can measure the between-region average gap, and is more sensitive to evolution of within-region patterns; 3) the inequality between the northern China and the southern China has been decreasing from 1952 to 2009 and was reversed in 1994 and 1995.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">regional inequality</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">inequality indexes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">PDI index</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">particular directions</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">China</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fang, Chuanglin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Xiu, Chunliang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Daqian</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Chinese geographical science</subfield><subfield code="d">Beijing : Science Press, 1991</subfield><subfield code="g">22(2012), 6 vom: 19. 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new approach to measurement of regional inequality in particular directions |
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A new approach to measurement of regional inequality in particular directions |
| abstract |
Abstract Regional inequality is a core issue in geography, and it can be measured by several approaches and indexes. However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particular directions. Although conventional between-group inequality indexes can measure the inequality in particular directions, they can not reflect the reversals of regional patterns and changes of within-group patterns. Therefore, we set forth a new approach to measure regional inequality in particular directions, which is applicable to geographic field. Based on grouping, we established a new index to measure regional inequality in particular directions named Particular Direction Inequality index (PDI index), which is comprised of between-group inequality of all data and between-group average gap. It can reflect regional spatiality and non-mobility, judge the main direction of regional inequality, and capture the changes and reversals of regional patterns. We used the PDI index to measure the changes of regional inequality from 1952 to 2009 in China. The results show that: 1) the main direction of China’s regional inequality was between coastal areas and inland areas; the increasing extent of inequality between coastal areas and inland areas was higher than the global inequality; 2) the PDI index can measure the between-region average gap, and is more sensitive to evolution of within-region patterns; 3) the inequality between the northern China and the southern China has been decreasing from 1952 to 2009 and was reversed in 1994 and 1995. © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg 2012 |
| abstractGer |
Abstract Regional inequality is a core issue in geography, and it can be measured by several approaches and indexes. However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particular directions. Although conventional between-group inequality indexes can measure the inequality in particular directions, they can not reflect the reversals of regional patterns and changes of within-group patterns. Therefore, we set forth a new approach to measure regional inequality in particular directions, which is applicable to geographic field. Based on grouping, we established a new index to measure regional inequality in particular directions named Particular Direction Inequality index (PDI index), which is comprised of between-group inequality of all data and between-group average gap. It can reflect regional spatiality and non-mobility, judge the main direction of regional inequality, and capture the changes and reversals of regional patterns. We used the PDI index to measure the changes of regional inequality from 1952 to 2009 in China. The results show that: 1) the main direction of China’s regional inequality was between coastal areas and inland areas; the increasing extent of inequality between coastal areas and inland areas was higher than the global inequality; 2) the PDI index can measure the between-region average gap, and is more sensitive to evolution of within-region patterns; 3) the inequality between the northern China and the southern China has been decreasing from 1952 to 2009 and was reversed in 1994 and 1995. © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg 2012 |
| abstract_unstemmed |
Abstract Regional inequality is a core issue in geography, and it can be measured by several approaches and indexes. However, the global inequality measures can not reflect regional characteristics in terms of spatiality and non-mobility, as well as correctly explore regional inequality in particular directions. Although conventional between-group inequality indexes can measure the inequality in particular directions, they can not reflect the reversals of regional patterns and changes of within-group patterns. Therefore, we set forth a new approach to measure regional inequality in particular directions, which is applicable to geographic field. Based on grouping, we established a new index to measure regional inequality in particular directions named Particular Direction Inequality index (PDI index), which is comprised of between-group inequality of all data and between-group average gap. It can reflect regional spatiality and non-mobility, judge the main direction of regional inequality, and capture the changes and reversals of regional patterns. We used the PDI index to measure the changes of regional inequality from 1952 to 2009 in China. The results show that: 1) the main direction of China’s regional inequality was between coastal areas and inland areas; the increasing extent of inequality between coastal areas and inland areas was higher than the global inequality; 2) the PDI index can measure the between-region average gap, and is more sensitive to evolution of within-region patterns; 3) the inequality between the northern China and the southern China has been decreasing from 1952 to 2009 and was reversed in 1994 and 1995. © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag Berlin Heidelberg 2012 |
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A new approach to measurement of regional inequality in particular directions |
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Fang, Chuanglin Xiu, Chunliang Liu, Daqian |
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10.1007/s11769-012-0556-7 |
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2024-07-04T02:40:11.385Z |
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| score |
7.399708 |