The Spatio-Temporal Patterns and Influencing Factors of Different New Agricultural Business Entities in China—Based on POI Data from 2012 to 2021

Abstract

The high-quality development of new agricultural business entities (NABEs) is an important driving force for realizing rural revitalization and accelerating the modernization of agriculture and rural areas. The main purpose of the study is to investigate the spatial distribution pattern, aggregation scales, development mechanism, and internal differences of various types of NABEs in different regions. It provides targeted ideas for alleviating regional differences in the development of NABEs in different agricultural regions. Kernel density estimation, nearest neighbor distance analysis, Tyson’s polygon coefficient of variation, and Ripley’s K function are used to study the spatial and temporal evolution, spatial aggregation, and scale divergence of various types of NABEs, and Pearson correlation analysis is incorporated to explore the specific factors affecting the development of various types of NABEs. The study results: First, family farms are the most widely distributed, and agricultural enterprises are the most sparsely distributed, being distributed “more in the southeast and less in the northwest” in all three categories. Second, the strongest aggregation scales of different NABEs are increasing, and the strongest aggregation scales of agricultural enterprises are larger than those of family farms and cooperatives in all agricultural areas. Third, the development of specialized farmers’ cooperatives (abbreviated as ‘cooperatives’) is more constrained by traditional agricultural inputs and is a kind of agricultural input-oriented development. Family farms are more constrained by the living standards of rural residents in the region and are a kind of rural economy-oriented development. Agricultural enterprises are more subject to the economic level of the region, which is a kind of market economy-oriented development. Finally, in the process of developing NABEs, regional differences should be emphasized, and a small number of agriculturally leading enterprises and model cooperatives should drive a large number of small-scale family farms and smallholder farmers in order to become a characteristic path for China’s agricultural development.

Spatial Distribution Heterogeneity and Influencing Factors of Different Leisure Agriculture Types in the City

“…Kernel density is a method for measuring the degree of agglomeration and distribution of elements and spatial correlation, which can respond to the distribution law of the research object and is a commonly used method for spatial analysis [47]. In addition, it can handle high-dimensional data and has the advantage of smoothness, but it should pay attention to the boundary sensitivity and parameter setting.…”

Analysis of Conceptual Definitions of Agribusiness Using the Conceptual Bibliographic Method

“…However, they have faced several risk factors, such as animal diseases, unstable prices, inadequate capital, and unskilled human capital, which limit their production capabilities. The study concludes that the existence of agribusiness support services could improve its performance, and particularly the resilience of women agricultural entrepreneurs in Cameroon.The case of China is emblematic because it allows us to understand the relationship between land concentration and the development of agribusiness and, consequently, socioeconomic development, as shown in the study byWei et al (2023). The study begins by showing the Chinese reality, which comprises many small agricultural companies dispersed and strongly influenced by the economic market environment.…”