Spatial analysis of water quality and income in Europe

Spatial effects of the agricultural ecosystem services based on environmental kuznets curve in Mengyin county, China

“…To date, only a few studies have applied spatial econometrics methods to measure the EKC by linking with spatial correlation. For instance, the spatial econometric model is chosen in examination of the existence of EKC of PM 2.5 pollution in the Beijing-Tianjin-Hebei region of China [ 12 ]; considering spatial interdependences across countries within the European Union, the EKC relationship between water quality and income is investigated with an inverted N -shaped relationship [ 44 ]; empirical results, based on the spatial autocorrelation analysis, verify a U-shaped EKC relationship of urbanization level on ESs [ 45 ]. However, the predictions of spatial effects of the agricultural ESs based on EKC hypothesis are extremely rare.…”

Achieving cleaner water for UN sustainable development goal 6 with natural processes: Challenges and the future

“…While water provision in developed countries is relatively well monitored, along with developing countries, maintaining (or improving) the quality of the water continues to be challenging (Brockwell et al, 2021). The loss of pristine sites due to emerging pollutants such as new pesticides and biocides (Cheng et al, 2021), pervasive invasive species disrupting the balance of these fragile ecosystems (Mooney and Cleland, 2001), loss of soil from land increasing turbidity (Sherriff et al, 2015), along with an increased frequency of extreme low flows exacerbating any water treatment failures (Shore et al, 2017) is a concerning and difficult challenge to manage and address.…”