Next Article in Journal
Matching Methods of Shared Parking Slots Considering Overdue Parking Behavior
Previous Article in Journal
Rethinking Food Waste: Insights from the 2021 and 2022 RETASTE Conferences
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Study on the Spatio-Temporal Patterns of Survival Dynamic Evolution of Specialized Farmers’ Cooperatives and the Influencing Factors of Underdeveloped Areas in China—Taking Yunnan Province as an Example

School of Economics and Management, Southwest Forestry University, Kunming 650224, China
*
Author to whom correspondence should be addressed.
Sustainability 2024, 16(24), 11256; https://doi.org/10.3390/su162411256
Submission received: 4 December 2024 / Revised: 17 December 2024 / Accepted: 18 December 2024 / Published: 22 December 2024

Abstract

Analyzing the survival and development environment, internal dynamics, and development direction of specialized farmers’ cooperatives in underdeveloped areas to enhance the vitality of the development of the agricultural industry is a key strategy for the work of the “Three Rural Issues” in China. Based on the data of 3194 specialized farmers’ cooperatives in Yunnan Province from 2000 to 2023, this paper utilizes the spatial measurement method and survival analysis method to study the spatial distribution of their survival and related influencing factors. The study found the following: (1) Cooperatives show a spatial aggregation trend from “high to high” to “low to high”, and the formation of new sub-core areas is accelerating. (2) The establishment stage of cooperatives shows an obvious annual cycle effect, and cooperatives established in the early stage show stronger survival resilience. (3) The factor of “organizational characteristics and technological innovation” significantly prolongs the survival time of cooperatives, while the factor of “establishment stage” has a negative effect. (4) The influence of a cooperative’s asset size and trademark on its operational durability tends to decrease over time, but the influence of relatedness remains relatively stable. (5) Over time, the survival and development patterns of cooperatives at the provincial level show obvious differentiation, and the clustering phenomenon of “low-high” development gradually appears in minority autonomous counties. The results of this study provide a scientific basis for deepening and strengthening the study of the basic rural business system.
Keywords: specialized farmers’ cooperatives; survival time; the pattern of time and space; underdeveloped areas specialized farmers’ cooperatives; survival time; the pattern of time and space; underdeveloped areas

Share and Cite

MDPI and ACS Style

Xu, R.; Mai, Q. Study on the Spatio-Temporal Patterns of Survival Dynamic Evolution of Specialized Farmers’ Cooperatives and the Influencing Factors of Underdeveloped Areas in China—Taking Yunnan Province as an Example. Sustainability 2024, 16, 11256. https://doi.org/10.3390/su162411256

AMA Style

Xu R, Mai Q. Study on the Spatio-Temporal Patterns of Survival Dynamic Evolution of Specialized Farmers’ Cooperatives and the Influencing Factors of Underdeveloped Areas in China—Taking Yunnan Province as an Example. Sustainability. 2024; 16(24):11256. https://doi.org/10.3390/su162411256

Chicago/Turabian Style

Xu, Ran, and Qiangsheng Mai. 2024. "Study on the Spatio-Temporal Patterns of Survival Dynamic Evolution of Specialized Farmers’ Cooperatives and the Influencing Factors of Underdeveloped Areas in China—Taking Yunnan Province as an Example" Sustainability 16, no. 24: 11256. https://doi.org/10.3390/su162411256

APA Style

Xu, R., & Mai, Q. (2024). Study on the Spatio-Temporal Patterns of Survival Dynamic Evolution of Specialized Farmers’ Cooperatives and the Influencing Factors of Underdeveloped Areas in China—Taking Yunnan Province as an Example. Sustainability, 16(24), 11256. https://doi.org/10.3390/su162411256

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop