The impact of industrial agglomeration on the synergistic evolution of the energy big data ecosystem: empirical findings from China

Abstract

Whether industrial agglomeration can promote the synergistic evolution of the energy big data ecosystem (EBDE) is important for effectively solving environmental pollution problems, promoting clean technology innovation, and achieving sustainable development of the energy industry. To this end, this paper applies the Harken model to construct EBDE synergy indicators from a synergistic perspective in 30 Chinese provinces from 2014 to 2020. The EBDE core subsystem is the sequential covariate, which plays a decisive factor in the synergistic evolution of EBDE. The synergy value of the system in each province shows a significant upward trend, and the overall synergy condition is significantly improved. On this basis, this paper explores how industrial agglomeration affects the synergistic evolution of the energy big data ecosystem. The results of the econometric study show that industrial agglomeration at the national level contributes to the enhancement of CEBDE. However, the impact of industrial agglomeration on CEBDE varies significantly at the regional level. In the central region, industrial agglomeration can contribute to the enhancement of CEBDE, but in the eastern and western regions, the industrial agglomeration has no significant effect on CEBDE. Finally, based on the study, this paper proposes specific recommendations for improving CEBDE. These results have important implications for the formulation of energy-use policies and the realization of sustainable energy development.