This study applies spatial econometric techniques to evaluate the effect of external economic agents located in agri-food business environments on the probability of those businesses failing. A logistic regression model that incorporates spatial interactions has been applied to the data. In addition, the article proposes an intermediate step in the modeling process based on generalized additive models to determine the specific functional relationships between the probit model and the explanatory variables. The results reveal that geographic location has a significant effect on the probability that agri-food companies fail to find significant nonlinearities. [EconLit Citations: G33, Q14, R10]

中文翻译：

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考虑非线性因素的地理定位对农业食品企业失败的影响

本研究应用空间计量经济学技术来评估位于农业食品商业环境中的外部经济代理对这些企业倒闭概率的影响。包含空间相互作用的逻辑回归模型已应用于数据。此外，本文提出了基于广义加性模型的建模过程中的中间步骤，以确定概率模型与解释变量之间的特定函数关系。结果表明，地理位置对农业食品公司未能发现显着非线性的概率有显着影响。[EconLit 引用：G33、Q14、R10]