Exploring the effect of industrial agglomeration on income inequality in China
Income inequality is a good indicator reflecting the quality of people's livelihood. There are many studies on the determinants of income inequality. However, few studies have been conducted on the impacts of industrial agglomeration on income inequality and their spatial correlation. The goal...
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| Veröffentlicht in: | PloS one 2023-06, Vol.18 (6), p.e0287910-e0287910 |
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| description | Income inequality is a good indicator reflecting the quality of people's livelihood. There are many studies on the determinants of income inequality. However, few studies have been conducted on the impacts of industrial agglomeration on income inequality and their spatial correlation. The goal of this paper is to investigate the impact of China's industrial agglomeration on income inequality from a spatial perspective. Using data on China's 31 provinces from 2003 to 2020 and the spatial panel Durbin model, our results show that industrial agglomeration and income inequality present an inverted "U-shape" relationship, proving that they are the non-linear change. As the degree of industrial agglomeration increases, income inequality will rise, after it reaches a certain value, income inequality will drop. Therefore, Chinese government and enterprises had better pay attention to the spatial distribution of industrial agglomeration, thereby reducing China's regional income inequality. |
| doi_str_mv | 10.1371/journal.pone.0287910 |
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There are many studies on the determinants of income inequality. However, few studies have been conducted on the impacts of industrial agglomeration on income inequality and their spatial correlation. The goal of this paper is to investigate the impact of China's industrial agglomeration on income inequality from a spatial perspective. Using data on China's 31 provinces from 2003 to 2020 and the spatial panel Durbin model, our results show that industrial agglomeration and income inequality present an inverted "U-shape" relationship, proving that they are the non-linear change. As the degree of industrial agglomeration increases, income inequality will rise, after it reaches a certain value, income inequality will drop. Therefore, Chinese government and enterprises had better pay attention to the spatial distribution of industrial agglomeration, thereby reducing China's regional income inequality.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0287910</identifier><identifier>PMID: 37384722</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>21st century ; Agglomeration ; Computer and Information Sciences ; Earth Sciences ; Economic conditions ; Evaluation ; Income ; Income distribution ; Income inequality ; Industrial concentration ; People and Places ; Social Sciences ; Socioeconomics ; Spatial distribution ; Specialization ; Variables</subject><ispartof>PloS one, 2023-06, Vol.18 (6), p.e0287910-e0287910</ispartof><rights>Copyright: © 2023 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Zhang et al 2023 Zhang et al</rights><rights>2023 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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There are many studies on the determinants of income inequality. However, few studies have been conducted on the impacts of industrial agglomeration on income inequality and their spatial correlation. The goal of this paper is to investigate the impact of China's industrial agglomeration on income inequality from a spatial perspective. Using data on China's 31 provinces from 2003 to 2020 and the spatial panel Durbin model, our results show that industrial agglomeration and income inequality present an inverted "U-shape" relationship, proving that they are the non-linear change. As the degree of industrial agglomeration increases, income inequality will rise, after it reaches a certain value, income inequality will drop. Therefore, Chinese government and enterprises had better pay attention to the spatial distribution of industrial agglomeration, thereby reducing China's regional income inequality.</description><subject>21st century</subject><subject>Agglomeration</subject><subject>Computer and Information Sciences</subject><subject>Earth Sciences</subject><subject>Economic conditions</subject><subject>Evaluation</subject><subject>Income</subject><subject>Income distribution</subject><subject>Income inequality</subject><subject>Industrial concentration</subject><subject>People and Places</subject><subject>Social Sciences</subject><subject>Socioeconomics</subject><subject>Spatial 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Suhua</au><au>Bani, Yasmin</au><au>Izah Selamat, Aslam</au><au>Abdul Ghani, Judhiana</au><au>Guo, Fuyou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring the effect of industrial agglomeration on income inequality in China</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-06-29</date><risdate>2023</risdate><volume>18</volume><issue>6</issue><spage>e0287910</spage><epage>e0287910</epage><pages>e0287910-e0287910</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Income inequality is a good indicator reflecting the quality of people's livelihood. There are many studies on the determinants of income inequality. However, few studies have been conducted on the impacts of industrial agglomeration on income inequality and their spatial correlation. The goal of this paper is to investigate the impact of China's industrial agglomeration on income inequality from a spatial perspective. Using data on China's 31 provinces from 2003 to 2020 and the spatial panel Durbin model, our results show that industrial agglomeration and income inequality present an inverted "U-shape" relationship, proving that they are the non-linear change. As the degree of industrial agglomeration increases, income inequality will rise, after it reaches a certain value, income inequality will drop. Therefore, Chinese government and enterprises had better pay attention to the spatial distribution of industrial agglomeration, thereby reducing China's regional income inequality.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37384722</pmid><doi>10.1371/journal.pone.0287910</doi><tpages>e0287910</tpages><orcidid>https://orcid.org/0000-0002-4851-5930</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | 21st century Agglomeration Computer and Information Sciences Earth Sciences Economic conditions Evaluation Income Income distribution Income inequality Industrial concentration People and Places Social Sciences Socioeconomics Spatial distribution Specialization Variables |
| title | Exploring the effect of industrial agglomeration on income inequality in China |
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