Spatial–temporal calculation simulation of ecological footprint of resource and environmental pollution in green communication

Abstract

As a quantitative evaluation method, the ecological footprint analysis (EFA) method is a frontier topic in the field of sustainable development. Human production activities will inevitably produce certain consumption, including the occupation of natural resources, resource consumption and waste production, which will have a certain impact on the ecological environment. This paper proposes to use the ecological footprint to inversely analyze the ecological environment and resource consumption, quantitatively convert the material consumption produced by human activities into the area of biological production land and compare it with the supply area of the study area. The EFA is used to reflect the changes in the indicators of regional sustainable development, and the regional sustainable development indicator system and analysis framework based on the ecosystem are constructed. The experimental result shows that the proposed model can effectively divide the resource space and at the same time can measure the degree of resource transfer, which has important guidance for revealing the internal relationship between regional ecological footprint characteristics and regional development and evolution significance.

Quantitative analysis of ecological compensation in the Yangtze River Delta region based on the value of ecosystem services and ecological footprint

“…Ecological footprint model consists of two parts: ecological footprint and ecological carrying capacity. It is possible to assess whether resources are in deficit or surplus in various locations by measuring ecological footprint (Chen et al, 2020), providing a theoretical framework for an evaluation of sustainability (Xu et al, 2006;Yang et al, 2022), and after that, the quantity of ecological compensation may be determined by establishing a matching connection with ecosystem service values.…”

Explore Associations between Subjective Well-Being and Eco-Logical Footprints with Fixed Effects Panel Regressions

“…Spatio-temporal semantic explanation of environmental impacts on subjective wellbeing is better to understand the trajectory of happiness and environment irreversible process [37,38]. Panel regression models can be measured with serial correlation or spatial dependence so that the model control for spatio-temporal dependence and heterogeneity can be determined [39].…”