首页|Inner Mongolia University Reports Findings in Machine Learning (Unraveling the impact of digital transformation on green innovation through microdata and machine learning)
Inner Mongolia University Reports Findings in Machine Learning (Unraveling the impact of digital transformation on green innovation through microdata and machine learning)
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New research on Machine Learning is the subject of a report. According to news reporting out of Hohhot, People's Republic of China, by NewsRx editors, research stated, "How to use digitalization to support the green transformation of organizations has drawn much attention based on the rapid development of digitalization. However, digital transformation (DT) may be hindered by the 'IT productivity paradox.' Exploring the influence of DT on green innovation, we analyze panel data encompassing A-share listed companies in Shanghai and Shenzhen spanning the period from 2010 to 2018." Our news journalists obtained a quote from the research from Inner Mongolia University, "It tests the DT's non-linear impact, employing a random-forest and mediation effect models. The results reveal that (i) DT can promote green innovation; (ⅱ) regarding heterogeneity, the promotion effect is mainly manifested in enterprises in non-state-owned and highly competitive industries; (ⅲ) based on mechanism testing, DT relies on two routes to encourage green innovation: improving environmental information disclosure and reducing environmental uncertainty; and (ⅳ) random-forest analysis shows that DT exhibits an inverted Ushaped non-linear effect on green innovation, including the 'IT productivity paradox.' This study enhances the existing discourse on DT and green innovation by furnishing empirical substantiation for the non-linear influence exerted by DT on green innovation."
HohhotPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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