Spatial effects and impact factors of food nitrogen footprint in China based on spatial durbin panel model

• Published in: Environmental research Vol. 204; no. Pt B; p. 112046
• Main Authors: Liu, Chun, Nie, Guihua
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.03.2022
• Subjects: China; Exploratory spatial data analysis; Food; Food nitrogen footprint; Humans; Income; Nitrogen; Spatial Analysis; Spatial durbin panel; Spillover effect; China; Spillover effect; Food nitrogen footprint; Exploratory spatial data analysis; Spatial durbin panel
• ISSN: 0013-9351; 1096-0953
• DOI: 10.1016/j.envres.2021.112046

Reactive nitrogen (Nr) has far-reaching advantages and disadvantages on human beings. Nitrogen footprint (NF) is a tool to quantify the use of Nr in the environment. Food nitrogen footprint (FNF) accounts for the largest proportion of the total NF, and the differences between provinces in China exist objectively. In order to explore the spatial correlation and socio-economic driving factors of China's FNF, this paper uses N-calculator tool to calculate the FNF of 30 provinces in China from 2000 to 2018, and uses exploratory spatial data to analyze the spatial correlation and changes of provincial FNF, The driving factors and spatial effects of FNF change in the province were analyzed by using spatial Durbin panel model and spatial regression partial differential method. The results showed that: (1) There is a significant and stable positive spatial dependence and heterogeneity in the FNF among provinces; (2) The direct effect factors of promoting the growth of FNF in the province are urban household Engel coefficient, per capita disposable income of rural residents and rural household Engel coefficient. The main factors of restraining the growth of FNF in the province are wastewater discharge per unit GDP and per capita GDP; (3) the spillover effect is mainly manifested as the negative effect of the increase of urban household Engel coefficient on neighboring provinces, and the spillover effect of per capita disposable income of urban residents and nitrogen fertilizer application rate per unit grain yield on the growth of FNF of neighboring provinces is significant. From the policy level, it is necessary to guide healthy and scientific eating habits, reduce the proportion of meat and fish in the diet structure, reduce the nitrogen fertilizer application per unit grain yield, and improve the efficiency of chemical fertilizer utilization. When formulating relevant policies, government departments should give consideration to the cooperation between provincial and regional governments. •N-calculator tool is used to calculate the FNF of 30 provinces in China.•Driving factors and spatial effects of FNF change in the province were analyzed.•The spatial Durbin panel model and spatial regression partial differential method are used for the analysis.