Digital transformation capability (DTC), as an important capability to use digital technology to innovate business and management models, enables retailers reduce costs, and enhance production. It is the main driving force for restructuring the business ecosystem of retailers. To develop the DTC of retailers, an index system is required to provide capability standards. Hence, the construction of an index system for retailers’ DTC is of important research value. However, there are few studies on the DTC of retailers, and no representative capability model or index system has been formed. Therefore, based on the definition of related concepts of DTC and literature review, this paper puts forward the research proposition of “index system for retailers’ DTC”, aiming to build an operable and applicable index system. According to the research process of the Delphi method, the present paper constructs an index system for retailers’ DTC through two rounds of expert consultations. The proposed system consists of three primary indices (e.g., technological change capability), 11 secondary indices (e.g., digital infrastructure) and 41 tertiary indices (e.g., datacenter), offering a capability development standard for the digital transformation of retailers. The research results also provide a reference for the digital transformation of retailers in the real world.
Under the conduction of decentralized environmental governance, environmental punishment has become a pivotal complementary tool for local government environment management and an intuitive reflection of governance efficiency. However, the literature concerning the effect of local government environmental punishment towards the green technology innovation of enterprises is void. To bridge this gap, this paper adopts the fixed‐effect model to investigate the impact of government environmental punishment on green technology innovation based on the data of China's A‐share listed enterprises from 2010 to 2020. The study finds that the punishment can significantly promote enterprises' green technology innovation. The distinction between the type of innovation reveals that environmental punishment promotes substantive green technology innovation of enterprises, while the effect on strategic green technology innovation is not significant. As far as the influence path is concerned, external pressure and internal incentive are both important mechanisms for environmental punishment to facilitate the green technology innovation of enterprises. Heterogeneity analysis demonstrates that the positive effect of punishment on green technology innovation is more prominent in non‐state‐owned enterprises, heavily polluting industries and regions with strong public awareness of environmental protection. Further discussion reveals that the facilitative effect of punishment on green technology innovation also significantly improves the environmental performance of enterprises. This paper not only confirms the positive role of government intervention in environmental protection, but also provides practical reference for how to improve enterprises' competitiveness.
Digital transformation has become a general trend for enterprises, and it is necessary to investigate the impact of government support on enterprises' digital transformation from the perspective of policy instruments. But so far, there is less empirical evidence on their relationship. Based on Chinese firm‐level data, we investigate the effects of government subsidies and tax incentives on enterprises' digital transformation. The results show that two forms of government support both positively promote enterprises' digital transformation. Moreover, we analyze which factors mediate the observed effects. We demonstrate that easing financial constraints, increasing Research and Development (R&D) investment, and improving risk‐taking ability are underlying mechanisms. Heterogeneity analysis indicates that enterprises that are non‐state‐owned, with higher technology level and higher absorptive capacity, have higher digital transformation. The higher the level of digital finance development and network infrastructure construction in a region, the greater the positive effect of government support on enterprises' digital transformation. The results provide clearer guidance for governments to provide government support so as to stimulate enterprises' digital transformation.
Previous research on green innovation sought to comprehend the antecedents and outcomes of environmental regulations. However, how these antecedents translate into outcomes may vary depending on different types of environmental regulations, such as environmental subsidies and pollution charges. We propose and test the effects of different environmental regulations on enterprises’ green innovation preferences. Moreover, we analyze how ownership type moderates the observed effects. The fundamental results reveal that: (1) Environmental subsidies and pollution charges positively affect energy conservation innovation. (2) Environmental subsidies and pollution charges positively affect emission reduction innovation. (3) Pollution charges are not as effective as environmental subsidies in promoting energy conservation innovation. However, pollution charges have a greater implementation effect than environmental subsidies in encouraging emission reduction innovation. (4) The types of enterprise ownership only play a positive moderating role in the relationship between pollution charges and emission reduction innovation. Accordingly, this paper provides auxiliary decision-making for the government to motivate the energy conservation and emission reduction of enterprises.
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