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可持续创新:通过高阶偏最小二乘路径模型对意大利情况的研究

Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling.

作者信息

Cataldo Rosanna, Crocetta Corrado, Grassia Maria Gabriella, Mazzocchi Paolo, Rocca Antonella, Quintano Claudio

机构信息

Department of Social Sciences, University of Naples Federico II, vico Monte della Pietà, 1, 80138 Napoli, Italy.

Department of Economics, University of Foggia, Largo Papa Giovanni Paolo II, 71121 Foggia, Italy.

出版信息

Soc Indic Res. 2021 Nov 12:1-25. doi: 10.1007/s11205-021-02846-w.

Abstract

What is the real meaning of ? How is different from other forms of innovation? How does contribute to societal development? How can we measure the sustainable innovation of a country-which indicators and which synthesis methods should we use? In this paper we try to answer these previous questions. Starting from the concept of sustainable innovation, as it has been extensively discussed in recent years in a range of disciplines from economics to engineering and sociology, the paper focuses on the basic criteria (such as indicators and statistical models) required to evaluate the sustainable innovation at the regional level, choosing Italy as a case study. From the elementary indicators of innovation, on one hand, and sustainability, on other hand, a composite indicator of sustainable innovation has been computed. The statistical model used to compute this composite indicator has been a Higher-Order Partial Least Squares Path model. The results obtained applying this model to the Italian scenario are discussed, the ranking of the different Italian regions, and the impact of the composite indicator sustainable innovation on economic results of each region are discussed.

摘要

……的真正意义是什么?……与其他创新形式有何不同?……如何促进社会发展?我们如何衡量一个国家的可持续创新——应该使用哪些指标和哪些综合方法?在本文中,我们试图回答上述问题。本文从可持续创新的概念出发,近年来它在从经济学到工程学和社会学等一系列学科中得到了广泛讨论,以意大利为案例研究,重点关注评估区域层面可持续创新所需的基本标准(如指标和统计模型)。一方面从创新的基本指标,另一方面从可持续性指标,计算出了一个可持续创新综合指标。用于计算该综合指标的统计模型是一个高阶偏最小二乘路径模型。讨论了将该模型应用于意大利情况所获得的结果、意大利不同地区的排名,以及可持续创新综合指标对每个地区经济成果的影响。 (注:原文中部分关键内容缺失,用“……”代替以便更完整理解整体逻辑)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e688/8586833/b72b669fc65a/11205_2021_2846_Fig1_HTML.jpg

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