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通过偏最小二乘法(PLS)识别可持续创业中的环境和经济发展因素。

Identifying environmental and economic development factors in sustainable entrepreneurship over time by partial least squares (PLS).

机构信息

Faculty of Business Administration and Management, Universitat Politècnica de València, Valencia, Spain.

Sistemas de Información, Gestión de la Tecnología e Innovación (SIGTI-Research Group), Escuela Politécnica Nacional, Quito, Ecuador.

出版信息

PLoS One. 2020 Sep 4;15(9):e0238462. doi: 10.1371/journal.pone.0238462. eCollection 2020.

DOI:10.1371/journal.pone.0238462
PMID:32886680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7473577/
Abstract

This study analyses the impact of environmental and economic factors consolidation on sustainable entrepreneurship over time. A model is proposed that analyses the relations between these factors and sustainable entrepreneurship over time with sustainable development goals performances and the continuation of the businesses index as variables. Using data from 50 countries, a quantitative method based on partial least squares was applied to validate the proposed model. Our findings showed positive and significant relations between environmental and economic factors with sustainable entrepreneurship over time. This implies that the countries which invest more efforts to consolidate their economic and environmental factors obtain higher durability rates for their sustainable entrepreneurship.

摘要

本研究分析了环境和经济因素整合对可持续创业的影响随时间的变化。提出了一个模型,分析了这些因素与可持续创业的关系,以及可持续发展目标绩效和企业延续指数作为变量。利用来自 50 个国家的数据,采用基于偏最小二乘法的定量方法验证了所提出的模型。研究结果表明,环境和经济因素与可持续创业的关系随时间呈正相关且显著。这意味着,那些更加努力整合经济和环境因素的国家,其可持续创业的可持续性更高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a45/7473577/7cab92d4a664/pone.0238462.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a45/7473577/5d61fabbc508/pone.0238462.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a45/7473577/7cab92d4a664/pone.0238462.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a45/7473577/5d61fabbc508/pone.0238462.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a45/7473577/7cab92d4a664/pone.0238462.g002.jpg

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Consistent Partial Least Squares for nonlinear structural equation models.非线性结构方程模型的一致性偏最小二乘法
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PLoS One. 2022 Jan 11;17(1):e0261922. doi: 10.1371/journal.pone.0261922. eCollection 2022.