Environmental innovation is essential to achieving environmental and economic sustainability. This study aims to explain whether and under what conditions green digitalization may foster firm environmental innovation. Using a database of Chinese listed firms matched with provincial‐level digitalization information from 2012 to 2018, we find that green digitalization significantly increases environmental innovation, and this effect can be achieved through enhancing R&D investment. In addition, the positive effect of green digitalization on environmental innovation is moderated by formal and informal institutional forces. We establish government support (in the form of financial investment in building digital infrastructure), government intervention, and cyberculture as the theoretically important moderators. Our findings contribute to digitalization research, institutional theory, and the literature on environmental innovation and provide important practical implications for managers and policymakers seeking to improve environmental sustainability through digital transformation.

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Purpose The purpose of this paper is to explore consumers’ intention to purchase genetically modified (GM) food from the perspective of risk information. Design/methodology/approach A conceptual model was proposed in which intention to purchase GM food is stimulated by the combination and complex effects of knowledge, risk perception, information need, information seeking and attitude. A face-to-face questionnaire survey was conducted in Jinan, Shandong Province. A total of 757 valid samples (55.6 percent of women vs men) were involved to conduct structural equation model analysis. Findings Results demonstrated that attitude is the most important predictor of intention to purchase GM food. Attitude, in turn, is predicted by risk perception and information seeking. Risk perception is a significant determinant of information need and information seeking. Moreover, information need influences information seeking. Finally, knowledge plays a critical role in risk perception and intention. Overall, the explained variance of the model is 66 percent. Originality/value The study provides new insights explaining intention to purchase GM food by constructing a conceptual model from the perspective of risk information. In this model, knowledge, risk perception, information need and information seeking are all based on information related to GM food, resulting in attitude and intention to purchase.

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