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Nitrogen oxides (NO x) has become the priority of China's air pollution control, but the regional socio-economic factors responsible for NO x generation are embedded with spatial disparities, which leads to different effects of air quality policy at the local level. This study applied a geographically weighted regression (GWR) model to investigate the drivers of NO x generation from energy consumption (NGEC) in China's 30 provinces, to explore nonstationary spatial effects of NGEC. The results showed that population size has always been the dominant factor in spatial NGEC across all regions of China, although there is a minor north-south difference. However, the effect of per capita GDP and energy intensity leads to a significant north-south difference when they are influencing NGEC, which shows a minor west-east difference from thermal power generation (TE). We also found that in Northern and Northeast China, the transition towards cleaner energy structure based on natural gas has started correlating significantly with NO x generation through a weakly negative effect in 2015. Our findings show alternative strategies on NO x reduction, which include the spatially differentiated effect of regional socioeconomic factors on energy consumption. • We examined spatially differentiated effects of NO x generation using GWR. • Economic growth and energy intensity showed the largest south-north spatial effects. • PS always dominantly affected spatial NGEC with a minor north-south difference. • NGR correlated significantly with NGEC through a weakly negative effect in 2015. • Spatially differentiated reduction policies need region-wise redesigning. [ABSTRACT FROM AUTHOR]

Over the past 20 years, the spatial distribution of electrical generation and its relationship to cross-regional power transmission has impacted China's power generation system and significantly affected the total amount of NO x and the aggregated nitrogen oxides intensity (ANI) of the system. An investigation of the driving mechanisms of ANI that considers the unevenness of regional electricity generation will be crucial to future improvements in the NO x efficiency of the electrical generation system in China. In this study, we built a decomposition model for ANI by incorporating the spatial distribution of electrical generation and found that the spatial distribution of electricity generation together with energy-related factors gradually caused decreases in ANI. The efficiency of electricity generation presented the dominant inhibitory effect on ANI, but its effect size has weakened since 2010. In contrast, the fossil fuel structure of thermal power shows an increasingly positive effect on changes in ANI. The primary energy composition only slightly affected changes in ANI. Moreover, the changed geographical distribution of electricity generation is non-negligible and has a positive effect on reduction of the ANI of the Chinese electrical generation system. The transferred amount of local NO x emissions by cross-provincial electricity transmission, however, could cause lead to additional environmental costs for generators. This issue should receive more attention in the future. Highlights • The ANI of electrical generation has decreased by 33.18% over the past 20 years. • Electrical generation efficiency inhibited ANI strongly but gradually weakened over time. • The geographical distribution effect reduced the ANI but transferred environmental costs. • The electrical generation structure will hopefully affect ANI reduction in future. [ABSTRACT FROM AUTHOR]