基于人工智能的技术与创意地区的经济增长

IF 3.2 3区经济学 Q1 ECONOMICS

Economics of Innovation and New Technology Pub Date : 2024-07-05 DOI:10.1080/10438599.2024.2374273

Amitrajeet A. Batabyal, Karima Kourtit, Peter Nijkamp

引用次数: 0

摘要

我们分析了具有两个主要特征的典型高科技地区 A 的经济增长情况。首先，该地区的居民是高科技人才，因为他们拥有技能。用理查德-佛罗里达（Richard Florida）的话来说，就是...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Artificial intelligence based technologies and economic growth in a creative region

We analyze economic growth in a stylized, high-tech region A with two key features. First, the residents of this region are high-tech because they possess skills. In the language of Richard Florida...

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来源期刊

Economics of Innovation and New Technology ECONOMICS-

CiteScore

7.20

自引率

3.00%

发文量

期刊介绍： Economics of Innovation and New Technology is devoted to the theoretical and empirical analysis of the determinants and effects of innovation, new technology and technological knowledge. The journal aims to provide a bridge between different strands of literature and different contributions of economic theory and empirical economics. This bridge is built in two ways. First, by encouraging empirical research (including case studies, econometric work and historical research), evaluating existing economic theory, and suggesting appropriate directions for future effort in theoretical work. Second, by exploring ways of applying and testing existing areas of theory to the economics of innovation and new technology, and ways of using theoretical insights to inform data collection and other empirical research. The journal welcomes contributions across a wide range of issues concerned with innovation, including: the generation of new technological knowledge, innovation in product markets, process innovation, patenting, adoption, diffusion, innovation and technology policy, international competitiveness, standardization and network externalities, innovation and growth, technology transfer, innovation and market structure, innovation and the environment, and across a broad range of economic activity not just in ‘high technology’ areas. The journal is open to a variety of methodological approaches ranging from case studies to econometric exercises with sound theoretical modelling, empirical evidence both longitudinal and cross-sectional about technologies, regions, firms, industries and countries.