The current production mode of manufacturing enterprises generally has the characteristics of "high input,high consumption and high emission",which has caused severe problems of resource waste and environmental pollution.Therefore,it is of great practical and strategic significance to vigorously promote the green transformation of manufacturing production mode and fully implement the concept of green development.Adhering to the path of green development is essentially to enhance the green competitiveness of enterprises in the process of pursuing positive changes.Therefore,in the context of global green change,exploring the technical means and management methods to improve the green competitiveness of China’s manufacturing industry has become a basic topic that the government and enterprises need to study urgently.Under the covid-19 epidemic situation,big data and Internet of things have shown great vitality and vitality.Traditional industries must grasp the direction of digital development and accelerate the pace of transformation.At the same time,the key role of big data in production has also been recognized by the government,and data has become the fifth factor of production for the first time.In view of the universality and inevitability of big data practice activities,whether the goal of green development of manufacturing industry can be achieved with the help of digital transformation,and whether relying on the value of big data can help enterprises establish green competitiveness has attracted the continuous attention of academic and practical circles.Based on the resource-based view and dynamic capability view,this paper studies the relationship between big data capability,environmental dynamics,property rights and green competitiveness,and explains the internal mechanism of big data capability affecting the green competitiveness of manufacturing enterprises.The research conclusions are as follows:(1)big data strategic planning ability and big data analysis ability have a significant positive effect on green competitiveness;(2)The big data management ability of non high-tech manufacturing industry in the current period and the first lag period has a positive role in promoting green competitiveness,and the big data management ability of high-tech manufacturing industry in the current period and the first lag period has no significant positive impact on green competitiveness;(3)Environmental dynamics has a significant positive regulatory effect on the relationship between big data strategic planning ability,big data management ability and green competitiveness,but there is no positive regulatory effect between big data analysis ability and green competitiveness;(4)Compared with state-owned enterprises,the big data strategic planning ability and big data management ability of non-state-owned enterprises play a more significant positive role in green competitiveness,while the relationship between big data analysis ability and green competitiveness does not have the negative regulatory effect of the nature of state-owned property rights.This research has certain theoretical and practical significance.In terms of theory,firstly,it enriches the conceptual connotation and empirical research results of big data capability,and provides new reference ideas for the dimension division of big data capability.Secondly,it expands the research content of the impact mechanism of big data capability on green competitiveness,introduces the environmental dynamics and property rights into the model,and explores the regulatory effect of uncertain environment and property rights on big data capability and green competitiveness,which can not only uncover the mechanism of big data capability affecting enterprise green competitiveness,but also supplement the theoretical basis system of big data capability affecting enterprise green competitiveness.In practice,by exploring the relationship between big data capability and green competitiveness,it provides new management ideas and paths for enterprises to use data value to create green value and successfully realize high-quality development,transformation and upgrading. |