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Intelligentization and regional industrial competitiveness

<p><span><span><span><span>Intelligentization</span></span><span>-oriented development is</span><span> a fast-developing trend of technological revolution. It </span><span><span>promot</span></span><span>es </span><span>the reconstruction of the industrial system of a region and affects its overall industrial competitiveness. </span></span><span>We collected data of 28 provinces and cities in China from 2003 to 2017 to test the influence of industrial </span><span><span>intelligentization</span></span><span> level on the industrial competitiveness of a region. </span></span></p> <p><span><span><span><span>Compared with the existing literature, the innovation of this study lies in three aspects</span></span><span><span>: </span></span></span><span>(1) </span><span><span>We </span><span>focuse on China, a developing country with the fastest development of intelligent technology in the world, to discuss the relationship between </span></span><span><span>intelligentization</span></span><span> <span>and industrial competitiveness in developing countries.</span></span><span> <span>(2) T</span></span><span><span>he research on intelligent technology mainly focuses on the micro level</span></span><span><span>, for instance</span></span><span> <span>the change of the internal structure of the industry, which belongs to the category of industrial economics. The research perspective of this study is macro level, taking regions as the research object, focusing on the change of industrial competitiveness between regions in the era of </span></span><span><span>intelligentization</span></span><span><span>, which belongs to the category of economic geography.</span></span><span> <span>(3) </span></span><span><span>According to the actual situation of the development of intelligent technology in China, we improve and construct the index system to evaluate the level of intelligentization. At the same time, the ecological niche theory is introduced for the first time in the process of evaluating industrial competitiveness</span></span><span> <span>of each region</span></span><span><span>.</span></span></span></p> <p><span><span>The result </span><span><span>reveals</span></span><span> that: </span><span><span>1) In </span></span><span>China's </span><span>provincial</span><span><span> </span></span><span><span>j</span></span><span>urisdictions</span><span><span>, the higher </span></span><span><span>the</span></span><span> </span><span><span>level of </span></span><span><span>intelligentization</span></span><span> is, </span><span><span>the lower </span></span><span>the </span><span><span>overall level of industrial competitiveness and the lower </span></span><span><span>the</span></span><span> </span><span><span>proportion of industry in the economic system</span></span><span> will be.</span><span> </span><span>In regions where the facilities are highly intelligent</span><span><span>ialized</span></span><span>,</span><span> </span><span>the </span><span><span>production sectors</span></span><span> tend to move</span><span> <span>to the less developed regions, </span></span><span>and the</span><span><span> </span></span><span><span>growth effect of technological dividends</span></span><span> is the focus</span><span><span>. 2) Compared with the </span></span><span>middle </span><span><span>region</span></span><span> and the Western </span><span><span>region</span></span><span> of China</span><span><span>, the Eastern region</span></span><span>, which is more developed</span><span><span> </span></span><span><span>with higher </span></span><span><span>intelligentization</span><span><span> </span></span></span><span><span>level</span></span><span>,</span><span><span> </span></span><span><span>ha</span></span><span>s</span><span><span> </span></span><span><span>stronger </span></span><span>ability in the research and development</span><span><span> </span></span><span><span>(</span></span><span>R&amp;D</span><span><span>)</span></span><span> of </span><span><span>technolog</span></span><span>ies</span><span><span>, and the economic structure of the industry</span></span><span> there </span><span><span>tends to be stable</span></span><span>, manifesting </span><span><span>a strong growth</span></span><span> </span><span><span>potential.</span></span></span></p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
12
Access
12
Reuse readiness
0
Engagement
8

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