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The Differentiated Influence of Technology Absorption on Regional Economic Growth in China

Ming Yi (), Xiaomeng Fang () and Yao Zhang ()
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Ming Yi: School of Economics and Management, China University of Geosciences, Wuhan 430074, Hubei, China
Xiaomeng Fang: Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, Hubei, China
Yao Zhang: School of Economics and Management, China University of Geosciences, Wuhan 430074, Hubei, China

Sustainability, 2019, vol. 11, issue 2, 1-1

Abstract: Technology absorption based on technology input–output is a main source of regional economic growth, and it can be one of the mechanisms to achieve regional sustainable development. In order to explore the influence mechanism and effects of regional technology absorption on economic growth, this paper classifies 30 provinces (including municipalities and autonomous regions) in China into technology input areas and technology output areas. With economic data from 2000 to 2016, this paper adopts the Hausman test and conducts an empirical study using regression analysis of fixed effect and random effect. The result shows that: (1) compared to technology output areas, technology absorption has a greater effect on economic growth in technology input areas; and (2) in general, all of these different types of technology transactions contribute to promoting regional economy. In technology output areas, the promoting effects of four different technology transactions on economic growth are sequenced from strong to weak as following: technology development, technology consultation, technology service, and technology transfer, while in the technology input areas, the promotion effect on economic growth from strong to weak is technology development, technology service, technology consultation, and technology transfer.

Keywords: technology absorption; technology transaction; economic growth; technology input-output (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2019
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