Analysis on Factors Influencing China's Industrial Added Value under the Spatial Durbin Model

Authors

  • Kun Zhang, Shifeng Wu, Zhe Zhang, Lin Tan

Abstract

This paper analyzes the factors influencing industrial added value in various provinces. Taking into account the spillover effect of industrial added value and spatial dependence of factors like investment, technology input, it constructs the Spatial Durbin Model based on samples of 31 provinces in China in 2017 and regression analysis is made on the inherent relationship. Moran's I test indicates that industrial added value of various provinces presents a positive spatial autocorrelation. The univariate local Moran's I analysis shows that industrial added value of some provinces in China displays spatial heterogeneity. The subsequent spatial Durbin model regression results show that the province’s R&D expenditure, secondary industry practitioner, fixed asset investment, and local fiscal technology expenditure can significantly affect the industrial added value.

Published

2020-02-28

Issue

Section

Articles