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Understanding the flow and evolution of scientific knowledge is essential for assessing research impact. Existing citation analysis methods mainly focus on citing authors' subjective intents, failing to consistently characterize cited papers' knowledge contributions. This study proposes the Knowledge Contribution Taxonomy (KCT), derived from the Scientific Research Logic Model, which identifies the type of knowledge a cited paper contributes based on the citation context.
Abstract As global climate change intensifies, the shift toward sustainable energy has become a pivotal pathway for attaining sustainable development. This paper examines how urban innovation capacity affects energy transition, with particular attention to the moderating role of climate risk. Using panel data for 273 Chinese prefecture-level cities from 2003 to 2019, three key research questions are investigated: (1) How does regional innovation capacity influence urban energy transition?
References 1, “Density Dependence Resolves the Stream Drift Paradox,” Ecology 76 (1995): 2235–2239. 2 and , Spatial Ecology via Reaction-Diffusion Equations, Ser. Math. Comput. Biol. (Chichester, UK: John Wiley and Sons, 2003). 3 and , “Principal Eigenvalue and Eigenfunctions of an Elliptic Operator With Large Advection and Its Application to a Competition Model,” Indiana University Mathematics Journal 57 (2008): 627–658.
6. Conclusions and Recommendations In this paper, we analyze the evolutionary game between the government, the manufacturer, and the retailer in the context of big data. We analyze the shortcomings of the tripartite evolutionary game model and introduce prospect theory. Moreover, we improve the perceived value of the three parties to the game while introducing the model for the study.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
