Can Artificial Intelligence Reduce Regional Inequality? Evidence from China

Shiyuan Li and Miao Hao

MPRA Paper from University Library of Munich, Germany

Abstract: Based on the analysis of provincial-level data from 2001 to 2015, we find that regional inequality in China is not optimistic. Whether artificial intelligence, as a major technological change, will improve or worsen regional inequality is worthy of researching. We divide regional inequality into two dimensions: production and consumption, a total of three indicators. The empirical research is carried out to the eastern, central and western regions respectively. It is found that industrial intelligence improves the inequality of residents’ consumer welfare among regions, while at the same time there is the possibility of worsening regional inequality of innovation. We also clarify the heterogeneity of the mechanisms that artificial intelligence promotes innovation in different regions.

Keywords: Artificial Intelligence; Regional Inequality; Innovation; Purchasing Power (search for similar items in EconPapers)
JEL-codes: L25 O32 (search for similar items in EconPapers)
Date: 2021-10
New Economics Papers: this item is included in nep-big, nep-cmp, nep-geo, nep-ino, nep-tid, nep-tra and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:110973

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