Kelejian, H.H. and Prucha, I.R. (2004) Estimation of Simultaneous Systems of Spatially Interrelated Cross Sectional Equations. Journal of Econometrics, 118, 27-50.
https://doi.org/10.1016/S0304-4076(03)00133-7

has been cited by the following article:

• TITLE: Empirical Research on the Relationship between Education Poverty Alleviation and Rural Revitalization—Spatial Panel Simultaneous Equation Model Based on Provincial Panel Data

  AUTHORS: Ningning Li, Shichang Shen

  KEYWORDS: Education Poverty Alleviation, Rural Revitalization, Entropy Weight Method, Space Panel Simultaneous Equation Model, GS3SLS

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.13 No.11, November 24, 2023

  ABSTRACT: On the basis of using entropy weight method to measure China’s education poverty alleviation and rural revitalization evaluation indicators, using the panel data of 30 provinces in China (excluding Xizang, Hong Kong, Macao and Taiwan) from 2012 to 2021, a spatial panel simultaneous equation model is constructed based on adjacency matrix, geographical distance matrix and economic geographical distance matrix deeply study the interaction mechanism and spatial spillover effects between education poverty alleviation and rural revitalization through the generalized spatial three-stage least squares method (GS3SLS). The results indicate that there is a significant spatial spillover effect and a positive spatial correlation between education poverty alleviation and rural revitalization, and there is a significant interactive effect between the two variables, while promoting each other positively. Therefore, the government should clarify the deep relationship between education poverty alleviation and rural revitalization based on the current background, and better consolidate and expand the effective connection between the achievements of education poverty alleviation and rural revitalization.