Impact of social networks on fertilizer use efficiency in China: Evidence from kiwifruit production in Shaanxi province.

Improving fertilizer use efficiency (FUE) is an effective way to reduce the fertilizer use and non-point source pollution in agriculture production in China. Existing research related to fertilizer use efficiency ignores the impact of famers' social networks, which can significantly affect the fertilizer use and its efficiency. This paper analyzed the impact of social networks on fertilizer use efficiency and the mediator effect of green fertilization technology adoption, based on the calculation of fertilizer use efficiency of 569 kiwifruit farmers in Shaanxi province of China surveyed in 2021 by using stochastic frontier method. The results show that the FUE of kiwifruit production ranged within 0.1027-0.9945, with an average value of 0.333, which showed great variability, and fertilizer input had an average 66.7% reduction potential without reducing output. Social networks and its four dimensions all had a significant positive impact on FUE, in which network trust and network learning had a greater impact on FUE. Farmers' adoption of green fertilization technology played a positive mediator effect in the process of social networks influencing their fertilizer use efficiency, which was mainly promoted by network trust and learning. Farmers' experience in agricultural production, joining the cooperative, the quantity of village agricultural supply points had a significant positive impact on fertilizer use efficiency, while age and gentle of the head of household had a significant negative impact of fertilizer use efficiency. Planting scale had a U-shape impact on FUE. Policies aimed at improving FUE and reducing non-point source pollution should, therefore, focus on improving the social networks of farmers, especially young farmers, strengthening network trust, promoting network learning, network reciprocity and network interaction, strengthening the research and development and extension of green fertilization technology, encouraging farmers to join agricultural cooperative, improving village production conditions, guiding sustainable agricultural production.

Spatial analysis of factors affecting fertilizer use efficiency in China: an empirical study based on geographical weighted regression model.

Improving fertilizer use efficiency (FUE) is an effective means to reduce fertilizer use and environmental contamination. Few studies have considered spatial effects of FUE and its determinants. This paper calculates the FUE of agricultural production by adopting panel data on 31 provinces in China from 2007 to 2017 using a stochastic frontier method and discusses the spatial distribution and characteristics. Furthermore, the geographical weighted regression (GWR) model is employed to examine the spatial impact of education level, non-agricultural employment ratio, disaster ratio, and farmers' income on FUE and reveal the spatial dispersion and agglomeration effect of different provinces in 2007, 2010, 2013, 2015, and 2017. The results show that the average FUE in China is 0.747 and has a significant decreasing trend, and FUE has a significant regional difference and spatial positive correlation in different provinces. Non-agricultural employment ratio is the most leading factor for increasing FUE for all provinces in studied years, and its influence degree shows a decreasing trend from southeastern to northwestern in each year. The different agricultural industry development modes, planting structure adjustment, and policy incentive systems for increasing non-agricultural employment ratio should be developed for different regions. Farmers' income has a significant negative impact on FUE, but the influence degree decreases annually, indicating that improving income to higher than turning point of the environmental Kuznets curve plays a critical role in improving FUE. The influence of education level on FUE is positive but relatively weak, and the influence degree declines from the western to eastern areas. It should strengthen the exploration of scientific and rational education and a training policy system to improve the educational level in different regions on the basis of local characteristics. Disaster ratio has a positive impact on FUE but is unstable. For the neighboring provinces, coordinated weather and possible disaster forecasting and release mechanism should be carried out based on the extent of the disaster.

Evaluating Fertilizer Use Efficiency and Spatial Correlation of Its Determinants in China: A Geographically Weighted Regression Approach.

Improving fertilizer use efficiency (FUE) is an effective means to reduce fertilizer use and environmental contamination. Few studies have considered the spatial effects of FUE and its determinants. This paper calculated the FUE of agricultural production by adopting panel data on 31 provinces in China from 2007 to 2017 using a stochastic frontier method with a heteroscedastic inefficiency term, and discussed the spatial characteristics. Further, the geographical weighted regression model (GWR) was employed to examine the spatial impact of factors on FUE and revealed the spatial dispersion and agglomeration effect. The results show that averaged FUE in China was 0.722, and had a significantly decreasing trend with a significant regional difference and spatial positive correlation in different provinces. The non-agricultural employment ratio was the leading factor for increasing FUE, and its degree of influence showed a decreasing trend from eastern to western China. The different agricultural industry development modes, crop planting patterns adjustment, labor transfer, and policy incentive systems for increasing the non-agricultural employment ratio should be developed for different regions. Farmers' income had a negative impact on FUE, but the influence degree decreased annually. Education level had a negative impact on FUE and was relatively weak, but the influence degree was increasing. This should strengthen the exploration of a scientific and practical technical training system for farmers on fertilizer use while improving educational levels in different regions on the basis of local characteristics. The impact of disasters on FUE depended on their severity, and a combined weather and disaster forecasting mechanism should be developed.