动荡世界中的数字化转型：17 年后欧洲地区的增长机遇

IF 3.2 3区经济学 Q1 ECONOMICS

Economics of Innovation and New Technology Pub Date : 2024-08-30 DOI:10.1080/10438599.2024.2393202

Roberta Capello, Andrea Caragliu

引用次数: 0

摘要

最近，数字化转型作为一项促进经济竞争力的战略受到重视。数字化转型带来的优势将如何在时间和空间上进行分配，仍是一个未知数。

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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Digital transition in a turbulent world: European regional growth opportunities in 17 years' time

Recently, the digital transition has been highlighted as a strategy fostering economic competitiveness. How the advantages from the digital transition will distribute over time and space is still u...

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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.