Firm-level knowledge accumulation and regional dynamics
Industrial and Corporate Change, ISSN: 0960-6491, Vol: 12, Issue: 6, Page: 1253-1278
2003
- 38Citations
- 75Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Two literatures have contributed to our insight into the determinants of economic growth. Regional agglomeration studies emphasize the favourable impact of geographical proximity on performance. However, the firms that constitute those agglomerations largely remain black boxes. In contrast, studies about technological learning explain economic performance at the firm level without systematically taking account of proximity effects. This paper proposes a possible way of bridging this gap by fusing elements from both partial literatures into an integrated framework. Its value added is illustrated with an empirical example.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0347664059&origin=inward; http://dx.doi.org/10.1093/icc/12.6.1253; https://academic.oup.com/icc/article-lookup/doi/10.1093/icc/12.6.1253; http://academic.oup.com/icc/article-pdf/12/6/1253/2137064/1201253.pdf; https://dx.doi.org/10.1093/icc/12.6.1253; https://academic.oup.com/icc/article/12/6/1253/720570
Oxford University Press (OUP)
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