Spatio-temporal distribution and influencing factors of urban comprehensive energy efficiency in the Yellow River Basin
Under the confluence of economic advancement and ecological preservation imperatives,the imper-ative to enhance energy efficiency has crystallized as a pivotal metric encapsulating a nation's developmental prowess.This research delves into the intricate spatial and temporal dynamics,as well as the underlying de-terminants,of urban energy efficiency within the Yellow River Basin spanning the years 2007 to 2018.Em-ploying a multifaceted analytical approach comprising the non-parametric super-SBM model,geographic in-formation system spatial analysis,panel Tobit regression,and geographically weighted regression(GWR)mod-el,this study unravels compelling insights.Firstly,it elucidates the trajectory of urban comprehensive energy efficiency over the study duration,revealing a nuanced narrative of relative stability juxtaposed with a discern-ible downward trajectory.Moreover,the study unearths a trend of diminishing regional differentials in effi-ciency distribution,accompanied by the emergence of a conspicuous patchy distribution paradigm.Notably,cities situated upstream evinced tendencies towards lower and medium-low efficiency levels,in stark contrast to their midstream and downstream counterparts,which predominantly exhibited medium-low to medium-high efficiency ranges.Furthermore,the Tobit regression analyses illuminate the pivotal role played by economic development levels and green innovation in bolstering urban comprehensive energy efficiency,underscored by their significant positive impacts.Conversely,the deleterious effects of carbon emissions,industrial structure,and environmental regulations manifest as significant negative influencers on urban comprehensive energy effi-ciency.Importantly,the findings from regional heterogeneity regression lend credence to the consistency of these discerned impacts across diverse geographical locales within the Yellow River Basin.Additionally,the application of geographically weighted regression(GWR)unfurls a tapestry of spatial heterogeneity in the in-fluence exerted by various factors,thus delineating distinct distribution patterns across the study area.These nuanced insights proffer valuable guidance for tailoring targeted interventions aimed at fortifying urban com-prehensive energy efficiency within the Yellow River Basin,thereby fostering sustainable developmental tra-jectories.Through this comprehensive elucidation,the research augments our understanding of the complex in-terplay between economic imperatives,environmental considerations,and the imperative of energy efficiency enhancement,thereby paving the path for informed policy formulation and implementation endeavors.
urban comprehensive energy efficiencypanel Tobit regression modelGWR modelcities in the Yellow River Basin
万方数据
维普
