Comparative Study of R&D Spillover Effect for High Technology Industry and Traditional Industry
Fan Jun Meng
Abstract
Fan Jun Meng
Abstract
Based on economic distance weights matrix, using the R&D input-output panel data sets of high technological industry and traditional industry in 29 provinces in China from 2001 to 2010 and spatial econometric method,this paper analyzes their R&D spillover effects respectively between provinces. The results indicate: Even though R&D in the high technology industry in China are active, the R&D spillover in this industry is lower than that in the traditional industries; R&D capital contributes to R&D output more than R&D labor for high technological industry, while the traditional industry is just the opposite.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Based on economic distance weights matrix, using the R&D input-output panel data sets of high technological industry and traditional industry in 29 provinces in China from 2001 to 2010 and spatial econometric method,this paper analyzes their R&D spillover effects respectively between provinces. The results indicate: Even though R&D in the high technology industry in China are active, the R&D spillover in this industry is lower than that in the traditional industries; R&D capital contributes to R&D output more than R&D labor for high technological industry, while the traditional industry is just the opposite.
Key concepts: Spillover effect, Panel data, China, Economics, Industrial organization, Business, Economic geography, Econometrics