Spatial effects of the agricultural ecosystem services based on environmental kuznets curve in Mengyin county, China
Yajuan Chen,
Yaofeng Yang,
Lan Fang,
Hongkun Zhao,
Zhenwei Yang,
Ling Chen,
Huyang Yu
Affiliations
Yajuan Chen
Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, Xi'an 710119, China; School of Economics and Management, Inner Mongolia Normal University, Hohhot 010022, China; College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China; Corresponding author. School of Economics and Management, Inner Mongolia Normal University, No. 81, Zhaowuda Road, Saihan District, Hohhot 010022, Inner Mongolia, China.
Yaofeng Yang
Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, Xi'an 710119, China
Lan Fang
Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, Xi'an 710119, China; Corresponding author. Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, No. 620, West Chang’an Avenue, Chang’an District, Xi’an 710119, Shaanxi, China.
Hongkun Zhao
School of Economics and Management, Inner Mongolia Normal University, Hohhot 010022, China
Zhenwei Yang
College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao 028000, China
Ling Chen
School of Economics and Management, Inner Mongolia Normal University, Hohhot 010022, China
Huyang Yu
School of Economics and Management, Inner Mongolia Normal University, Hohhot 010022, China
Worldwide most agroecosystems effort to increase production and yields and leads to damages of a series of non-provisioning ecosystem services (ESs). To fill in the knowledge gaps pertaining to the understanding of complex relationship between agricultural harvests and other ESs, therefore this study aims to estimate the existence of Environmental Kuznets Curve (EKC) for agricultural ESs by incorporating the spatial factors. Based on the test of the spatial autocorrelation of agricultural ESs, the estimation results of spatial model are compared with general regression to explain the spatial effect of agricultural ESs. The results show that (1) contrary to expectation, the curve of the nonlinear relationship between agricultural ESs and annual household income is an inverted U-shape, and not an upright U-shape; (2) compared to non-spatial model, the turning point of the inverted U-shaped curve for agricultural ESs under the direct effect would happen earlier and happen later under the indirect effect; (3) years of formal education, vegetation coverage of field margin and cultivated land area have significantly impact on local agricultural ESs, and local perennial crops has significantly impact on agricultural ESs of neighboring villages. Results of this study have a promising application prospect to promote sustainable development of agriculture.
