An Empirical Study on Spatial Effects of Agricultural Total Factor Productivity—A Case Study on the Analysis of Ningxia Panel Data from 2006 to 2017
It is an effective way to achieve high-quality agricultural development by promoting the growth of agricultural total factor productivity(TFP).The study of agricultural TFP and its spatial effect in Ningxia is conducive to leveraging regional comparative advantages,promoting the rational flow and efficient agglomeration of factors,and strengthening the radiating driving effect of agricultural technology on regional development.The DEA-Malmquist index method was used to measure the agricultural TFP in Ningxia,and the spatial heterogeneity of agricultural TFP was tested using stata13.1 software.Then,the weight matrix was established using the first-order Rook adjacency rule in Geoda to further analyze the spatial correlation of the agricultural TFP.The results showed that the average annual growth rate of agricultural TFP in Ningxia was 4%from 2007 to 2017,and technological progress was the main factor to promote the growth of TFP.The Thiel index of agricultural TFP growth in Ningxia showed a downward trend,indicating that the gap in TFP growth within the region was gradually narrowing,and it was also found that the regional differences of agricultural TFP in Ningxia was mainly concentrated in the central region.In 2017,there was a spatial correlation of agricultural TFP in Ningxia,with a generally positive aggregation effect in the north and a generally negative spatial correlation in the middle.Based on this,it is proposed that we should expand the agglomeration effect and radiation effect of the northern region,accelerate the ecological construction of the central and southern regions,and finally promote the implementation and application of agricultural digital economy in Ningxia.
agricultural total factor productivityspatial effectThiel indexMoran's Ⅰ index