403 research outputs found

    Information and communication technologies and geographic concentration of manufacturing industries: Evidence from China

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    Using the 2004 China economic census database, this paper examines the impact of information and communication technologies (ICT) on the geographic concentration of manufacturing industries, controlling for other determinants of industrial agglomeration. Higher geographic concentration is found consistently in industries where ICT are more widely adopted, and the association is stronger at higher geographic levels. Furthermore, young firms that have adopted ICT, although they are more footloose, contribute to industrial agglomeration. High-tech industries with advanced ICT also tend to agglomerate. Contrary to the prevalent argument that ICT lead to more dispersion, our study suggests that ICT promote industrial agglomeration.Information and communication technologies; Geographic concentration; Agglomeration

    Information and communication technologies and geographic concentration of manufacturing industries: Evidence from China

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    Using the 2004 China economic census database, this paper examines the impact of information and communication technologies (ICT) on the geographic concentration of manufacturing industries, controlling for other determinants of industrial agglomeration. Higher geographic concentration is found consistently in industries where ICT are more widely adopted, and the association is stronger at higher geographic levels. Furthermore, young firms that have adopted ICT, although they are more footloose, contribute to industrial agglomeration. High-tech industries with advanced ICT also tend to agglomerate. Contrary to the prevalent argument that ICT lead to more dispersion, our study suggests that ICT promote industrial agglomeration

    Testing urbanization economies in manufacturing industries: urban diversity or urban size?

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    Whether urbanization economies are caused by urban diversity or urban scale is not clear in regional and urban economics literature. Many empirical studies have used either city population size or urban industrial diversity to measure urbanization economies and have reached different conclusions. This paper argues that city size mainly captures the pure scale economies of urban public goods, and may generate net diseconomies when a city size is too large. Urban industrial diversity can also enhance firm productivity. Using the 2004 China manufacturing census data, we test simultaneously the effects of urban size and industrial diversity on firm productivity, controlling for localization economies and human capital externalities. We found that city size effect does exist, but too large a city size indicates net diseconomies. Firms also benefit from industrial diversity, and the strength of such benefit increases with city size but decreases with firm size. The overall results support Jacobs's idea that small firms benefit more from urban diversity

    Predictive Visual Tracking: A New Benchmark and Baseline Approach

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    As a crucial robotic perception capability, visual tracking has been intensively studied recently. In the real-world scenarios, the onboard processing time of the image streams inevitably leads to a discrepancy between the tracking results and the real-world states. However, existing visual tracking benchmarks commonly run the trackers offline and ignore such latency in the evaluation. In this work, we aim to deal with a more realistic problem of latency-aware tracking. The state-of-the-art trackers are evaluated in the aerial scenarios with new metrics jointly assessing the tracking accuracy and efficiency. Moreover, a new predictive visual tracking baseline is developed to compensate for the latency stemming from the onboard computation. Our latency-aware benchmark can provide a more realistic evaluation of the trackers for the robotic applications. Besides, exhaustive experiments have proven the effectiveness of the proposed predictive visual tracking baseline approach.Comment: 7 pages, 5 figure
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