Abstract
It is vast significance to explore the spatial and temporal evolution characteristics and influencing factors of herbivorous animal husbandry industry based on the context of China’s agriculture pursuing high-quality development. In this paper, we analyze the spatial and temporal evolution of the layout of China’s herbivorous animal husbandry industry and its influencing factors based on the spatial autocorrelation analysis, standard deviation ellipse, and spatial Durbin model with data from 1980 to 2017. The results show that there are significant positive autocorrelation characteristics of "high-high" aggregation and "low-low" aggregation in the Chinese herbivorous animal husbandry industry. To be specific, in the past four decades, the spatial distribution center of China’s herbivorous animal husbandry industry has moved towards the northeast, crossing the boundary between agriculture and animal husbandry in China, presenting a clear trend of moving from pastoral area to agricultural area; the gradual narrowing of the spatial distribution range indicates the gradually increased degree of aggregation within the industry; the east-west stretch of spatial distribution has been strengthened, and the azimuth angle shows clockwise change, suggesting that the industrial expansion in the northeast-southwest direction is prominent; the influencing factors of changes in the spatial distribution of the industry reveal that the quantity and production capacity of productive land, people’s income and living standards, and the level of mechanization will promote the development of China’s herbivorous animal husbandry industry, and are essential factors influencing industrial distribution and transfer, while policy factor has small or even not significant impact on industrial aggregation, reflecting that the policy has not played the expected role, and policy support needs to be further intensified.
Highlights
IntroductionSpatial evolution characteristics and influencing factors of China’s herbivorous animal husbandry industry
Comprehensive spatial autocorrelation analysis is divided into two types: global measurement (Global Moran’s I) and local measurement (Anselin Local Moran’s I), which are used to determine the closeness of industrial spatial correlation and the hot and cold spots areas in space respectively
It was found from the examination results that the global spatial autocorrelation indices of the output of herbivorous animal products in China were all positive
Summary
Spatial evolution characteristics and influencing factors of China’s herbivorous animal husbandry industry. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript
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