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Agglomeration, Innovation and Regional Development: Theoretical Perspectives and Meta-Analysis

机译:集聚,创新与区域发展:理论视角与元分析

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摘要

Innovation and technological change are central to the quest for regional development. In the globally-connected knowledge-driven economy, the relevance of agglomeration forces that rely on proximity continues to increase, paradoxically despite declining real costs of information, communication and transportation. Globally, the proportion of the population living in cities continues to grow and sprawling cities remain the engines of regional economic transformation. The growth of cities results from a complex chain that starts with scale, density and geography, which then combines with industrial structure characterised by its extent of specialisation, competition and diversity, to yield innovation and productivity growth that encourages employment expansion, and further urban growth through inward migration. This paper revisits the central part of this virtuous circle, namely the Marshall-Arrow-Romer externalities (specialisation), Jacobs externalities (diversity) and Porter externalities (competition) that have provided alternative explanations for innovation and urban growth. The paper evaluates the statistical robustness of evidence for such externalities presented in 31 scientific articles, all building on the seminal work of Glaeser et al. (1992). These articles yield 393 estimates of those externalities, which are characterized by their sign and statistical significance. We aim to explain variation in estimation results using study characteristics by means of ordered probit analysis. The evidence in the literature on the role of the specific externalities is rather mixed, although for each type of externality we can identify how various aspects of primary study design, such as the adopted proxy for growth, the data used, and the choice of covariates influence the outcomes.
机译:创新和技术变革对于追求区域发展至关重要。在全球连接的知识驱动型经济中,尽管信息,通信和运输的实际成本下降了,但依靠邻近性的集聚力量的相关性仍在不断增加。在全球范围内,居住在城市中的人口比例持续增长,而散乱的城市仍然是区域经济转型的引擎。城市的增长源于复杂的链条,从规模,密度和地理开始,然后与以专业化,竞争和多样性为特征的产业结构相结合,以产生创新和生产力增长,从而鼓励就业扩展和城市进一步发展通过向内迁移。本文回顾了这个良性循环的中心部分,即马歇尔—阿罗—罗默外部性(专业化),雅各布斯外部性(多样性)和波特外部性(竞争),它们为创新和城市增长提供了替代性解释。本文评估了31篇科学文章中提出的此类外部性的统计统计稳健性,所有这些都建立在Glaeser等人的开创性工作基础上。 (1992)。这些文章得出了这些外部性的393个估计,这些估计的特征是其符号和统计意义。我们旨在通过有序概率分析来解释利用研究特征估算结果的变化。尽管对于每种类型的外部性,我们可以确定主要研究设计的各个方面(例如采用的增长指标,所使用的数据以及协变量的选择)如何,但文献中关于特定外部性作用的证据却是混杂的。影响结果。

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