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Study on Spatial Spillover Effect of County-level TFP in Sichuan Province
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Based on the county panel data of 181 districts and counties in Sichuan province from 2008 to 2018, the spatial spillover effect of county-level total factor productivity was studied by using Spatial Dubin Model, and the heterogeneity of Chengdu-Chongqing urban agglomeration and non-urban agglomeration was analyzed. Finally, the robustness test was carried out by using economic distance spatial weight matrix. The study has demonstrated that TFP at the county level in Sichuan province has spatial autocorrelation, and the level of economic development, the industrial structure, the industrial agglomeration, the human capital and the government intervention have different impacts and spatial spillover effects on TFP at the county level in Sichuan province, but there are differences within and outside the urban agglomeration.
Title: Study on Spatial Spillover Effect of County-level TFP in Sichuan Province
Description:
Based on the county panel data of 181 districts and counties in Sichuan province from 2008 to 2018, the spatial spillover effect of county-level total factor productivity was studied by using Spatial Dubin Model, and the heterogeneity of Chengdu-Chongqing urban agglomeration and non-urban agglomeration was analyzed.
Finally, the robustness test was carried out by using economic distance spatial weight matrix.
The study has demonstrated that TFP at the county level in Sichuan province has spatial autocorrelation, and the level of economic development, the industrial structure, the industrial agglomeration, the human capital and the government intervention have different impacts and spatial spillover effects on TFP at the county level in Sichuan province, but there are differences within and outside the urban agglomeration.
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