Empirical Study on Agglomeration Effect of Regional Big Data Industry

DOI

10.2991/wrarm-17.2017.76How to use a DOI?

Keywords

Big data; Agglomeration Effects; Location Quotient

Abstract

Big data industry contains enormous economic value, its development will provide an incredible impetus to the future economic growth in our country. The agglomeration of an industry in a certain area can effectively increase the production efficiency and the output of the industry. This phenomenon is even more obvious in the manufacturing industry. In this paper, the location quotient is included in the Cobb-Douglas production function as a variable that reflects the agglomeration effect of big data industry. The double logarithmic panel data model is used to carry out empirical analysis to estimate the economic impact of regional agglomeration on the big data industry. According to the results of the research, location quotient have a significant positive effect on the output of the big data industry, that is, the agglomeration of the big data industry within a certain region can obviously promote the industrial development.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Junmeng Lu
AU  - Mu Zhang
PY  - 2017/11
DA  - 2017/11
TI  - Empirical Study on Agglomeration Effect of Regional Big Data Industry
BT  - Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
PB  - Atlantis Press
SP  - 437
EP  - 442
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-17.2017.76
DO  - 10.2991/wrarm-17.2017.76
ID  - Lu2017/11
ER  -