Low-carbon technology innovations (LTI) have attracted wide attention due to their effects on reducing carbon emissions, and improving LTI behavior is a kind of beneficial measures on carbon emissions control in enterprise. The current research explores the determinants that affect LTI behavioral intention, and an integrative model of external relations network (ERN) on LTI, incorporated with knowledge absorptive capacity (KAC), is used. An effective sample of 380 staffs who worked in industrial enterprise of China was collected, which empirical results reveal the correlation between KAC and LTI, ERN and LTI, and the role of KAC. Hence, this paper discusses the implications for integrative model based on KAC and provides suggestions for improving the ability of LTI, and argues that LTI is not isolated, and it needs to be realized by the combination of ERN and KAC, thus, there should be paying more call for greater attention to ERN and KAC, rather than purely focusing on resource utilization.
<p style='text-indent:20px;'>This article constructs a two-stage supply chain consisting of a manufacturer (producing both fuel vehicles (FV) and new energy vehicles) and a retailer (selling both fuel vehicles and new energy vehicles) based on dual credit policy, considers three different power structure models, including the vertical Nash game model, the manufacturer Stackelberg game model, the retailer Stackelberg game model, and explores the operational strategy issues of new energy vehicle (NEV) enterprises under the dual credit policy. By comparing the optimal equilibrium solutions under different channel power structures, our findings indicate that (1) When the demand function is linear, the vertical Nash game model can achieve the highest system profit of the automotive supply chain, and in the manufacturer Stackelberg game model, the profit of the automaker is higher than that of the retailer, while in the retailer Stackelberg game model, the profit of the automaker is lower than that of the retailer. (2) The demand and pricing for FV and NEV in different models are determined by the range of FV and NEV production costs, credit trading prices, and the proportion of NEV credits. (3) Both the increase in the credit trading prices and the proportion of NEV credits will promote increased profits for the manufacturer and retailer. (4) The increase of the price sensitivity coefficient will reduce the demand as well as the profit of auto supply chain members.</p>
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