Digitalization is one of the main ways for enterprise growth in the digital economy era. However, the existing literature on digital technology application models and their impact on corporate green growth is rare. By using the green innovation data of Chinese A-share listed companies from 2008 to 2020, this paper empirically investigates the association between enterprise digitalization and green innovation. The empirical results show that digitalization has significantly improved enterprises’ substantive green innovation level, which is valid after conducting a series of endogenous and robustness tests. Further results show that digital technology application, intelligent manufacturing application, and modern information system application are the three main models of digitalization to promote green innovation of enterprises, while internet business model application cannot significantly promote corporate green innovation. In addition, the mechanism analysis results indicate that the increase in government subsidy and corporate own R&D investment contribute to the incentive effect mentioned above, while the loss of governance efficiency and fluctuation of the external environment offset this effect. This incentive effect is more obvious in non-state-owned, high-tech, and lower-polluted industry enterprises. Our paper reveals the mode and mechanisms for enterprises to realize innovative green growth by applying digital technology in the digital economy era, which is of great significance to relevant theoretical research and policy formulation.

The City of Los Angeles (City) is committed to renewing its entire 10,500-kilometer (6,500 miles) sewer system in 240 sewer tributary basins. By fiscal year 2014, the City will be completing the planning and renewal of 4,700 kilometers (2,950 miles) of sewers in the 100 highest priority basins that were prioritized based on Sewer Spill Overflow (SSO) analysis. The City is to strategically prioritize the 5,800 kilometers (3,550 miles) of sewers in the remaining 140 basins in order to cost-effectively identify and correct sewer deficiencies and provide a reliable sewer system and reduce SSO occurrences. This is particularly important in difficult economic times. This article explains the new prioritization approach adopted in this effort, which incorporates factors such as SSO, pipe physical characteristics, maintenance history, condition assessment, and proximity to ecological sensitive areas, into a weighted scoring system. Every sewer segment is scored and collectively calculated to evaluate the condition of the sewer basin. It is proven that the new prioritization approach provides more in-depth risk analysis of future sewer failure, not only addressing SSO issues, but also taking potential sewer deterioration into consideration.

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