Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2022.2089194
The impact of artificial intelligence industry agglomeration on economic complexity
Yang Shoufu
Ma Dan
Shen Zuiyi
Wen Lin
Dong Li
Sažetak
Artificial intelligence (AI) is a fundamental driver of technological
and economic growth. However, few studies have focused on the
impact of AI industry agglomeration on economic complexity.
This study uses a unique dataset of 2,503,795 AI enterprises in
China collected through web crawlers to measure AI industrial
agglomeration and examine the relationship between AI industry
agglomeration and economic complexity in 194 Chinese cities
based on Marshall industry agglomeration theory. The study’s
results show that AI industry clustering increases economic complexity.
The mechanism analysis indicates that people and knowledge
are the channels through which it boosts economic
complexity. Unexpectedly, AI industry agglomeration does not
improve the economic complexity index (ECI) through the goods
path. This study proposes three possible explanations for this
result. First, AI industrial clustering may lead to excessive rivalry in
China’s intermediate product market. Hence, sharing intermediate
inputs has no increasing returns effect. Second, the city’s highend
talent is not fairly distributed due to China’s uneven development.
Finally, policies drive the formation of China’s AI industrial
agglomeration, which does not develop naturally. Consequently,
China should implement a talent- and knowledge-driven AI
agglomeration. To avoid overcrowding, policies must match
regional development.
Ključne riječi
Artificial intelligence; industry agglomeration; economic complexity; agglomeration externality
Hrčak ID:
304172
URI
Datum izdavanja:
31.3.2023.
Posjeta: 550 *