There are not many analyses of the degree of variation in the efficiency of the allocation of sports venues in China. The results show that the allocation efficiency of sports venues in China is very high. The results show that the efficiency of the allocation of sports venues in China generally shows a fluctuating upward trend, with the average efficiency value increasing from 0.7 in 2013 to 0.9 in 2014, and there are significant differences at the three regional levels of East, Central, and West China and at the level of each province and autonomous region. The efficiency of the allocation of sports venue resources in the three regions shows a geographical pattern of “eastern region > western region > central region.” The regional disparity in the efficiency of the allocation of sports venue resources in China gradually increases during the period under study, with the opening and closing values of the kernel density curve for 2013–2017, showing an overall “. The nuclear density curve in 2017 shows an obvious bimodal curve distribution. Compared with other years, it can be clearly seen that there are fewer areas with low values and more areas with high values. The polarization of the efficiency of China's sports venue resource allocation and layout has been revealed, and the core density curve is shown as a whole. It can be seen from the sports venue resource allocation index that during the study year, the changes and fluctuations of each major region were different, and the national Er index showed a trend of “Λ.” The shape of the national Er index is “Λ,” while the eastern, central, and western regions are in the shape of “N,” declining slowly and remaining stable, respectively. The ER index fluctuates the most in the eastern region. Hence, the change in the ER index in eastern China plays a dominant role in the polarization of the overall resource allocation efficiency of sports venues in China.

With accelerated urbanisation, continued growth in water demand and the external pressure of water demand from the South–North Water Transfer Project, agricultural water use in Jiangsu is facing a critical situation. Therefore, it is important to explore the spatial and temporal variation in agricultural water use efficiency in order to clarify the pathway for improving agricultural water use efficiency. Firstly, the Super-Slacks-Based Measure (SBM) model was utilized to measure agricultural water use efficiency in Jiangsu Province, China, from 2011 to 2020, and secondly, a fixed-effects model was used to investigate agricultural water use efficiency and the factors influencing it in 13 prefectures in Jiangsu Province in both time and space. The results show that (1) the overall value of agricultural water use efficiency in Jiangsu Province is below 1, which means that agricultural water use efficiency in Jiangsu Province is low and far from the effective boundary, and there is more room for improvement in agricultural water use efficiency; (2) a total of 92% of prefectures in Jiangsu Province have input redundancy, which seriously inhibits the progress of agricultural water use efficiency in Jiangsu Province, among which the redundancy of total agricultural machinery power and agricultural water use is the highest; (3) Regarding total factor productivity and its decomposition index for agricultural use in Jiangsu Province, in the time dimension, the number of professional and technical personnel inputs has a positive impact on agricultural water use efficiency. In the spatial dimension, the number of professional and technical personnel inputs, industrial structure and arable land area have a positive impact on improving regional agricultural water use efficiency, among which the industrial structure has a smaller contribution to agricultural water use efficiency.