Cargando…

Research on the income distribution effect of factor allocation efficiency changes among China’s three major industries

This paper aims to study the impact of correcting the factor misallocation among China’s three major industries on China’s income gap and income distribution pattern. By using the industry Panel data at the provincial level in China, we measure the degree of factor misallocation among the three majo...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Bochao, Dong, Wanhao, Yao, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602293/
https://www.ncbi.nlm.nih.gov/pubmed/37883356
http://dx.doi.org/10.1371/journal.pone.0292927
_version_ 1785126369146961920
author Zhang, Bochao
Dong, Wanhao
Yao, Jin
author_facet Zhang, Bochao
Dong, Wanhao
Yao, Jin
author_sort Zhang, Bochao
collection PubMed
description This paper aims to study the impact of correcting the factor misallocation among China’s three major industries on China’s income gap and income distribution pattern. By using the industry Panel data at the provincial level in China, we measure the degree of factor misallocation among the three major industries in China’s provinces from 2002 to 2019 by building a factor misallocation measurement model, and then uses reverse thinking to compare the income gap under the condition of no factor misallocation with the actual income gap, and then obtains the impact of factor misallocation on the income gap, And use this method to focus on analyzing the impact of factor allocation efficiency changes among the three industries on income distribution pattern. The research finds that: (1) There is a serious factor misallocation among the three major industries in each province. From the perspective of subdivided factors, the factor misallocation among the three major industries in China’s provinces is mainly caused by labor misallocation. Factor misallocation shows a trend of convergence first and then divergence among regions. (2) There is a strong heterogeneity in the explanatory power of different dimensions of the income gap of factor misallocation among the three major industries in China’s provinces. Among them, correcting the misallocation of total factors among the three major industries in China’s provinces can only narrow the internal income gap of the tertiary sector of the economy, and expand the internal income gap between the primary and secondary industries. (3) The impact of correcting the total misallocation, capital misallocation and labor misallocation among the three industries on the income gap among industries or provinces is narrowing first and then expanding. (4) Further research shows that although the level of factor misallocation among provinces in China is significantly lower than the average level of factor misallocation among the three major industries within each province, it has a stronger explanatory power for the inter-provincial income gap. Correcting the total factor misallocation and labor misallocation among provinces can significantly reduce the inter-provincial income gap in China. Correcting the total factor misallocation and labor misallocation among provinces in 2019 can reduce the inter-provincial income gap by 51.48% and 81.68% respectively. Only correcting the capital misallocation among provinces will expand the inter-provincial income gap, and only correcting the capital misallocation among provinces in 2019 will expand the inter-provincial income gap by 112.21%.
format Online
Article
Text
id pubmed-10602293
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-106022932023-10-27 Research on the income distribution effect of factor allocation efficiency changes among China’s three major industries Zhang, Bochao Dong, Wanhao Yao, Jin PLoS One Research Article This paper aims to study the impact of correcting the factor misallocation among China’s three major industries on China’s income gap and income distribution pattern. By using the industry Panel data at the provincial level in China, we measure the degree of factor misallocation among the three major industries in China’s provinces from 2002 to 2019 by building a factor misallocation measurement model, and then uses reverse thinking to compare the income gap under the condition of no factor misallocation with the actual income gap, and then obtains the impact of factor misallocation on the income gap, And use this method to focus on analyzing the impact of factor allocation efficiency changes among the three industries on income distribution pattern. The research finds that: (1) There is a serious factor misallocation among the three major industries in each province. From the perspective of subdivided factors, the factor misallocation among the three major industries in China’s provinces is mainly caused by labor misallocation. Factor misallocation shows a trend of convergence first and then divergence among regions. (2) There is a strong heterogeneity in the explanatory power of different dimensions of the income gap of factor misallocation among the three major industries in China’s provinces. Among them, correcting the misallocation of total factors among the three major industries in China’s provinces can only narrow the internal income gap of the tertiary sector of the economy, and expand the internal income gap between the primary and secondary industries. (3) The impact of correcting the total misallocation, capital misallocation and labor misallocation among the three industries on the income gap among industries or provinces is narrowing first and then expanding. (4) Further research shows that although the level of factor misallocation among provinces in China is significantly lower than the average level of factor misallocation among the three major industries within each province, it has a stronger explanatory power for the inter-provincial income gap. Correcting the total factor misallocation and labor misallocation among provinces can significantly reduce the inter-provincial income gap in China. Correcting the total factor misallocation and labor misallocation among provinces in 2019 can reduce the inter-provincial income gap by 51.48% and 81.68% respectively. Only correcting the capital misallocation among provinces will expand the inter-provincial income gap, and only correcting the capital misallocation among provinces in 2019 will expand the inter-provincial income gap by 112.21%. Public Library of Science 2023-10-26 /pmc/articles/PMC10602293/ /pubmed/37883356 http://dx.doi.org/10.1371/journal.pone.0292927 Text en © 2023 Zhang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhang, Bochao
Dong, Wanhao
Yao, Jin
Research on the income distribution effect of factor allocation efficiency changes among China’s three major industries
title Research on the income distribution effect of factor allocation efficiency changes among China’s three major industries
title_full Research on the income distribution effect of factor allocation efficiency changes among China’s three major industries
title_fullStr Research on the income distribution effect of factor allocation efficiency changes among China’s three major industries
title_full_unstemmed Research on the income distribution effect of factor allocation efficiency changes among China’s three major industries
title_short Research on the income distribution effect of factor allocation efficiency changes among China’s three major industries
title_sort research on the income distribution effect of factor allocation efficiency changes among china’s three major industries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602293/
https://www.ncbi.nlm.nih.gov/pubmed/37883356
http://dx.doi.org/10.1371/journal.pone.0292927
work_keys_str_mv AT zhangbochao researchontheincomedistributioneffectoffactorallocationefficiencychangesamongchinasthreemajorindustries
AT dongwanhao researchontheincomedistributioneffectoffactorallocationefficiencychangesamongchinasthreemajorindustries
AT yaojin researchontheincomedistributioneffectoffactorallocationefficiencychangesamongchinasthreemajorindustries