The Empirical Analysis of the Influence of Urban Innovation Ability on the Economic growth Based on the Least Square Regression Model (OLS)
- DOI
- 10.2991/aebmr.k.210917.083How to use a DOI?
- Keywords
- Urban Innovation Ability, Economic growth
- Abstract
At present, economic development has entered the stage of “new normal”, which has been gradually transformed from the factor-driven development to the innovation-driven development. Then, will the improvement of the urban innovation level have an impact on the urban economic development? In this paper, through the establishment of measurement model validation, the effect of city innovation ability level on economic growth is investigated. In particular, 209 cities are selected across the country, the city’s Research and Development and patent number are collected as indicators of innovation ability, and GDP, per capita GDP, as well as the GDP growth rate are used as a measure of economic growth. In addition, the ordinary least squares regression model is set up, and the results are as follows: First, the increase of urban R&D investment can indeed promote the economic development. Second, an increase in the total number of patents in cities can indeed boost the economic growth. Finally, this paper explains how the improvement of innovation level affects the economic development through economic logic and puts forward corresponding policy suggestions on how to improve urban innovation level.
- Copyright
- © 2021, 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/).
Cite this article
TY - CONF AU - Deng Yining AU - Niu Mandi AU - Zhang Qingyu PY - 2021 DA - 2021/09/18 TI - The Empirical Analysis of the Influence of Urban Innovation Ability on the Economic growth Based on the Least Square Regression Model (OLS) BT - Proceedings of the 2021 International Conference on Financial Management and Economic Transition (FMET 2021) PB - Atlantis Press SP - 548 EP - 553 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.210917.083 DO - 10.2991/aebmr.k.210917.083 ID - Yining2021 ER -