E3S Web Conf.
Volume 214, 20202020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|Number of page(s)||4|
|Section||Machine Learning and Energy Industry Structure Forecast Analysis|
|Published online||07 December 2020|
Multidimensional Innovation, Heterogeneity of Property Rights and Enterprise Productivity
Chengdu College of University of Electronic Science and Technology of China, Chengdu, China
This paper constructed a fixed effect model of panel data, taking the full factor productivity as a measure of enterprise productivity. This paper empirically studies the effect of multi-dimensional innovation on enterprise productivity, examining the relationship between multi-dimensional innovation level and enterprise productivity of different ownership enterprises. This paper finds that the multidimensional innovation of almost all types of enterprises take a notable promotion role on their productivity on the whole, while the specific dimensions have different effects. In the end, this paper analyzes the causes of this situation, which also proposes the corresponding suggestions.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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