Analyses in the fields of environmental and innovation research have hindered our understanding of the real effects of external drivers of firms' green innovation and sustainability behaviors on financial performance. This study compares the ways in which two different external factors drive firms to be green innovative: environmental regulation and market turbulence. By dividing green innovation into green process innovation and green product innovation, we propose that environmental regulation increases financial performance mainly through green process innovation rather than through green product innovation, and market turbulence affects financial performance mainly through green product innovation rather than through green process innovation. The results of an empirical analysis based on a mediation model and panel data on 472 Chinese listed firms for 2006–2017 lend support to our hypotheses. Our study contributes to the green innovation management and sustainability literature by offering a holistic framework for examining how firms pursue green innovation and sustainability in response to two different forms of external pressure.
The impact of government green subsidies on firms' green innovation behaviors and sustainable development has been recognized in the existing literature, but the deep relationship remains poorly understood. This study aims to examine the mechanism of how government green subsidies influence firms' financial performance via green innovation and how the mediating effect varies under different contingent conditions. Empirical results based on data of Chinese listed companies between 2006 and 2018 reveal that green subsidies have positive effects on green process and product innovation, but only green product innovation can rise higher financial performance, which further verifies that green subsidies positively influence financial performance through green product innovation rather than green process innovation. In addition, both higher absorptive capacity and higher market turbulence strengthen the indirect effect of green subsidies on firms' financial performance via green product innovation. Our study provides useful implications for enterprises by revealing the influence mechanism of green subsidies on financial performance through green innovation under different leveraging levels of internal and external conditions. It also provides basis for the government to formulate relevant environmental policies.
Facility location, inventory management, and vehicle routing are three important decisions in supply chain management, and location-inventory-routing problems consider them jointly to improve the performance and efficiency of today’s supply chain networks. In this paper, we study a location-inventory-routing problem to minimize the total cost in a closed-loop supply chain that has forward and reverse logistics flows. First, we formulate this problem as a nonlinear integer programming model to optimize facility location, inventory control, and vehicle routing decisions simultaneously in such a system. Second, we develop a novel heuristic approach that incorporates simulated annealing into adaptive genetic algorithm to solve the model efficiently. Last, numerical analysis is presented to validate our solution approach, and it also provides meaningful managerial insight into how to improve the closed-loop supply chain under study.
This study examines the double-edged effect of government directors on strategic change by conceptualizing them as strong resource provision but weak monitoring that exert the opposite impact on strategic change. Since we cannot predict which of the two effects will be larger ex ante, we do not predict a main effect. Instead, we examine resource constraints, managerial incentives, and state ownership as contingency factors. Using a sample of Chinese listed firms from 2010 to 2016, we find evidence for the prediction. This study contributes to the current literature by providing a more complete understanding of government directors.
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