Identifying the Driving Factors of Food Nitrogen Footprint in China, 2000–2018: Econometric Analysis of Provincial Spatial Panel Data by the STIRPAT Model

This paper studies the EKC hypothesis and STIRPAT model. Based on panel data of carbon emission intensity other influencing factors 30 provinces in China from 2000 to 2018, spatial effect per capita food nitrogen footprint (FNF) different socio-economic were studied by using exploratory analysis fixed Durbin model for first time. The results show that: (1) there is a agglomeration positive dependence relationship China’s provincial FNF (FNFP), which verifies that between economy early stage curve. (2) driving forces explored, including Engel’s coefficient urban households (ECU), population density (PDEN), urbanization, use efficiency (NUE) technology. (3) significant spillover FNFP. ECU NUE can reduce regional FNFP, slow down FNFP surrounding provinces. (4) Policy makers need formulate reduction policies demand side, consumption side level.