School of Economics and Management, Shenyang Agricultural University, Shenyang 110000, China.
Comput Intell Neurosci. 2023 Mar 1;2023:7064236. doi: 10.1155/2023/7064236. eCollection 2023.
The purpose of this study is to understand the relationship between social capital and the performance of Farmers' Cooperatives (Cooperatives) and explore the internal mechanism of social capital affecting the performance of Cooperatives. This work selects two dimensions: cognitive social capital (CSC) and structural social capital (SSC), as indexes to measure the social capital of Cooperatives. An analytical framework is proposed: "Social capital-Dynamic capabilities-Organizational performance." First, according to the characteristics of Cooperatives, it determines the most appropriate index values and preprocesses the original data. Statistical Product and Service Solutions (SPSS) and Analysis of Moment Structure (AMOS) 25.0 software are used for factor analysis. A financial performance evaluation model of Cooperatives based on backpropagation neural network (BPNN) is constructed. Then, based on the survey data of 212 Cooperatives in Liaoning Province, the structural equation model (SEM) is used to test the interaction path between "Social capital-Dynamic capacity-Organizational performance." The results show that SSC's standardized regression coefficients (SRCs) on Cooperatives' economic benefits and member satisfaction are 0.208 and 0.095, respectively, significant at 1%. The actual case analysis concludes that the larger the scale of the structural network embedded in Cooperatives is, the more conducive it is to obtaining extensive resources. As such, Cooperatives can absorb the advanced experience and compensate for the weakness of lack of internal resources and experience. The SRC of CSC on Cooperatives' economic benefits is 0.336, and the value is 0.204, indicating an insignificant impact of CSC on Cooperatives' economic benefits. This work considers environmental variability, uses dynamic capacity as an independent variable, opens the "black box" between social capital and the performance of Cooperatives, and reveals the intermediate path between the two.
本研究旨在探讨社会资本与农民专业合作社（合作社）绩效之间的关系，并探索社会资本影响合作社绩效的内在机制。本研究选取认知社会资本（CSC）和结构社会资本（SSC）两个维度作为合作社社会资本的衡量指标，提出“社会资本-动态能力-组织绩效”的分析框架。首先，根据合作社的特点，确定最适合的指标值并对原始数据进行预处理。采用统计产品与服务解决方案（SPSS）和结构方程模型（AMOS）25.0 软件进行因子分析。构建基于反向传播神经网络（BPNN）的合作社财务绩效评价模型。然后，基于辽宁省 212 家合作社的调查数据，采用结构方程模型（SEM）检验“社会资本-动态能力-组织绩效”的交互路径。结果表明，SSC 对合作社经济效益和成员满意度的标准化回归系数（SRC）分别为 0.208 和 0.095，在 1%的水平上显著。实际案例分析得出结论，合作社中嵌入的结构网络规模越大，越有利于获得广泛的资源。因此，合作社可以吸收先进经验，弥补内部资源和经验不足的弱点。CSC 对合作社经济效益的 SRC 为 0.336，值为 0.204，表明 CSC 对合作社经济效益的影响不显著。本研究考虑环境的可变性，将动态能力作为自变量，打开社会资本与合作社绩效之间的“黑箱”，揭示两者之间的中间路径。
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