Abstract
As one of the largest agricultural countries in the world, China has always paid close attention to the sustainable development of agricultural production efficiency. However, with global climate change, extreme weather has become an exogenous factor that cannot be ignored, as it affects agricultural production. Most of the existing studies only consider the domestic natural resources and economic factors, without fully considering the external climate factors. This paper uses the super undesirable dynamic Slacks-Based Measures (SBM) under an exogenous variable model to simulate the external environmental factors by adding extreme weather days. The Dagum Gini coefficient and kernel density estimation are used to explore the regional differences in agricultural production in China. The results show that the agricultural production efficiency is higher in the eastern region, and the difference in agricultural production efficiency among the provinces in the middle and western regions is large, showing a trend of polarization. The difference in the Gini coefficient between the middle and western regions is more significant. The main contribution factor of the Dagum Gini coefficient is the inter-regional difference. The regional concentration degree of agriculture in China is decreasing, the regional distribution of agricultural water resources is more balanced, and the national regional difference gradually decreases. Finally, some suggestions are put forward, such as extreme weather control, agricultural water supply, and water-saving measures.
Highlights
The efficiency of agricultural production is related to the total output value of agriculture and the foundation of national economic development
We summarize the relevant literature published on the spatial differences in agricultural production efficiency and the impact of climate conditions on agricultural production efficiency, and describe the issue of agricultural production efficiency in curve of the national region; region (China)
Bindi [5] studied the impact of global warming on agricultural production in Europe, and the results showed that in the south, adverse factors will dominate, including water shortages and the possibility of increasing extreme weather events, which will lead to reduced harvests and a reduction in suitable agricultural planting area
Summary
The efficiency of agricultural production is related to the total output value of agriculture and the foundation of national economic development. Based on the different boundary conditions from the perspective of research, scholars consider the efficiency of agricultural production in different regions from the perspective of time and spatial differences, climate disasters on crop production intervention, and other aspects. In this process, scholars have explored many evaluation methods for agricultural production efficiency, including the Data Envelopment Analysis (DEA) model; the Slacks-Based Measures (SBM) model under undesirable output, derived from the DEA model; and the production function model. Some scholars discussed the spatial differences in agricultural production, and have explored the balanced and high-quality development of agriculture by analyzing the differences in agricultural efficiency between different regions
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