Measurement of Agricultural New Quality Productivity Level and the Analysis of Spatial and Temporal Evolution

Objective/Meaning The development of new agricultural productivity is the core path to promote the agricultural modernization and break the bottleneck of rural revitalization.

Methods/Procedures Based on the panel data of 31 provinces (excluding Hong Kong, Macao and Taiwan) in China from 2012 to 2024, the development level of new agricultural productivity was measured and its spatial and temporal distribution characteristics and evolution trend were analyzed. The four-in-one index system of “agricultural science and technology innovation-agricultural green development-agricultural digital intelligence-agricultural development value” was constructed, and the entropy method, Dagum Gini coefficient, Kernel density analysis and standard deviation ellipse were used.

Results/Conclusions The results showed that: (1) The spatial and temporal evolution: the overall agricultural new quality productivity showed an accelerated growth trend, and the spatial pattern has experienced the evolution process of “single point agglomeration in Northeast China-continuous expansion in East and Central China-global gradient infiltration”. (2) The distribution of nuclear density showed the characteristics of “multi-peak convergence and polarization highlighting”. A multi-polarization trend was formed at the national level. The eastern region continued to lead and the internal differences expanded. The central region steadily caught up and differentiated. The western region rose slowly and the internal imbalance intensified. (3) In terms of regional differences, the average value of the overall Gini coefficient was 0.1647, showing a steady fluctuation trend. The interregional differences were the main source of overall differences, and intra-regional differences showed the pattern of eastern > western > central. (4) the spatial center of gravity continued to migrate to the southwest, the standard deviation ellipse showed a “northeast-southwest” distribution pattern, and the spatial distribution showed a clear trend of centripetal agglomeration.