A Leading Role of Water Resources and Animal Husbandry in Environmental Sustainability: A Case Study of China

Spatial disparities and internal subsystems'coupling coordination analysis of green development in Chinese animal husbandry

This study establishes an indicator system encompassing economic, social, and environmental dimensions to assess the level of green development in animal husbandry from 2010 to 2020. It further examines the coupling coordination degree within each dimension. The Dagum Gini coefficient is employed to scrutinize the regional disparities in coupling coordination degree of the economic benefit, social benefit, and environmental benefit of the green development in Chinese animal husbandry. Additionally, Moran's I is utilized to identify the degree of spatial autocorrelation and aggregation types. The results demonstrate the following: (1) From 2010 to 2020, the level of green development in the animal husbandry in China has steadily improved. Among the three dimensions, economic benefits exhibit the highest performance, followed by environmental benefits and social benefits. There are obvious regional disparities in the green development of animal husbandry, which are "strong in north and weak in south" and "strong in west and weak in east." The Gini coefficient for green development in the animal husbandry in China experienced a fluctuating upward trend. (2) From 2010 to 2020, the overall coupling coordination degree of the economic benefit, social benefit, and environmental benefit of green development in the animal husbandry in China remains at a rudimentary level and demonstrates a steady upward trend. Spatially, it manifests an agglomeration pattern primarily centered around Beijing, with the northeastern region being the main focus. (3) The Gini coefficient for the coupling coordination degree experienced a slight fluctuating upward trend. In terms of inter-regional disparities, significant differences are observed between the northeastern region and the central region, as well as between the northeastern region and the eastern region. In terms of contribution to disparities, inter-regional contributions were the most substantial, followed by super-variable density, with intra-regional contributions being the smallest. (4) The coupling coordination degree displayed spatial autocorrelation, with "high-high" aggregation areas predominantly concentrated in the northeastern region.