title: Environmental Kuznets curve analysis of the economic development and nonpoint source pollution in the Ningxia Yellow River irrigation districts in China.
abstract: This study applies the environmental Kuznets curve to test the relationship between the regional economic growth and the different types of agricultural nonpoint source pollution loads in the Ningxia Yellow River irrigation area by using the Johnes export coefficient method. Results show that the pollution load generated by crop cultivation and livestock-breeding industries in the Ningxia Yellow River irrigation area shows an inverted U-shaped feature; however, this feature is absent in living-sewage pollution load. Crop pollution has shown a decreasing trend since 1997 because of the increased per capita income of farmers. Livestock-breeding pollution load reached its turning point when the per capita income of farmers reached 8386.74 RMB. Therefore, an increase in the per capita income of farmers corresponds to an increase in the livestock-breeding pollution load in the Ningxia Yellow River irrigation area.
authors.affiliation: College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, China ; The Research Center of Recycle Agricultural Engineering and Technology of Shaanxi Province, Yangling, Shaanxi 712100, China.
authors.forename: Chunlan
authors.initials: C
authors.lastname: Mao
authors.forename: Ningning
authors.initials: N
authors.lastname: Zhai
authors.forename: Jingchao
authors.initials: J
authors.lastname: Yang
authors.forename: Yongzhong
authors.initials: Y
authors.lastname: Feng
authors.forename: Yanchun
authors.initials: Y
authors.lastname: Cao
authors.forename: Xinhui
authors.initials: X
authors.lastname: Han
authors.forename: Guangxin
authors.initials: G
authors.lastname: Ren
authors.forename: Gaihe
authors.initials: G
authors.lastname: Yang
authors.forename: Qing-xiang
authors.initials: QX
authors.lastname: Meng
mesh_terms: D057914:Agricultural Irrigation; D000818:Animals; D002681:China; D057217:Economic Development; D005843:Geography; D006801:Humans; D007182:Income; D058751:Livestock; D008962:Models, Theoretical; D045483:Rivers / Q000737:chemistry*; D012424:Rural Population; D012722:Sewage / Q000737:chemistry; D014874:Water Pollutants, Chemical / Q000032:analysis; D014876:Water Pollution / Q000032:analysis* / Q000191:economics*
chemical_list: D012722:Sewage; D014874:Water Pollutants, Chemical