## 4 Analysis of Results
South China, north China, northeast China, central China and northwest China have an intermediate green agricultural development level, among which northwest China has the largest fluctuation and the lowest social development level. Additionally, because the fluctuation of the resource-saving input index is less than the fluctuation of the resource recycling index, the development level of green agriculture as a whole shows a small fluctuating downward trend. The index of resource-saving input started to decline in 2011, indicating that the resource factors of land input per hecater in northwest China were not reasonably controlled but rebounded in 2016. This may be due to the policy proposed by the Ministry of Agriculture in 2015, with the strategic goal of \"one control, two reductions and three basics\", which stimulated the northwest district to begin to implement resource reduction strategies. The index of resource recycling increased from 2006 to 2011, decreased slightly in 2012, and increased from 2012 to 2015. This may be due to the active implementation of \"strengthening the construction of ecological civilization system\" proposed by the 18 th National Congress of the Communist Party of China in 2012 in northwest China, which effectively improved the utilization rate of resources. The decrease from 2015 to 2019 is due to the decrease in the multiple cropping index during this period. The fluctuation is relatively gentle in south China, north China, northeast China and central China--especially in south China, where the resource-saving input index is always the highest, which may be due to the suggestion of \"strengthening resource management\" put forward in the \"eleventh Five-Year Plan\", after which south China began to strengthen the protection and management of various natural resources. Analysis of the Spatial Spillover Effect of Agricultural Science and Technology Innovation on Agricultural Green Development  
4.2.1. Spatial Autocorrelation Analysis of Agricultural Science and Technology Innovation and Agricultural Green Development  
(1) Global spatial autocorrelation analysis  
The overall Moran's I index of agricultural science and technology innovation and the agricultural green development level from 2006 to 2019 was calculated using Equations (3)-(6), as shown in Tables 5 and 6. As can be seen from Table 5, the Moran's I indexes of agricultural technology research and development and agricultural technology application in China from 2006 to 2019 are both positive, and both passed the significance test, indicating that the agricultural science and technology innovation among provinces in China presents a positive spatial correlation and that there is a spatial agglomeration phenomenon. Specifically, the value of Moran's I for agricultural technology research and development and agricultural technology application fluctuated and declined over time. The value of agricultural technology research and development fell from 0.233 in 2006 to 0.115 in 2019, and the value of agricultural technology application fell from 0.316 in 2006 to 0.106 in 2019, indicating that the spatial agglomeration effect of China's agricultural technological innovation gradually weakened and that the spatial difference increased. In reality, eastern developed regions with rapid economic and social development will greatly improve the level of agricultural science and technology innovation by increasing technology investment and improving the innovation system, which will further widen the regional gap between high and low innovation levels of agricultural science and technology and produce the \"[PERSON] effect\", in which the strong get stronger and the weak get weaker. This is a possible reason for the increase in spatial differences in agricultural science and technology innovation levels.