Research on regional differences, distribution dynamics and convergence of carbon emission levels of rural residents' living consumption in China

Abstract

Abstract Climate change is an epochal problem that all countries in the world need to face and solve together. Actively exploring the path of carbon emission reduction is an inevitable choice to deal with climate change. Based on measuring the carbon emissions of China's rural residents' living consumption from 2000 to 2019, this study further adopts the Dagum Gini coefficient, Kernel density estimation, Markov chain, σ Convergence, and β Convergence Conduct empirical analysis on the measurement results. It is found that the differences in carbon emissions of rural residents' living consumption in the whole country, low, middle-low and middle-high level regions are all significantly decreasing, and the regional differences are the main source of the overall differences. There are no very high or very low carbon emissions of rural residents' living consumption in the middle-low level areas, while there is obvious two-stage differentiation in the middle-high level areas. There is instability in the carbon emissions of rural residents' living consumption, which can be transferred downward toward the ideal state, and there is also the risk of increasing carbon emissions and transferring upward; The whole country and the four regions showed typical σ Convergence and β Convergence characteristics. On this basis, the paper puts forward policy recommendations to reduce the spatial imbalance of carbon emissions from rural residents' living consumption. It provides a factual basis for reducing the carbon emissions of rural residents' living consumption at the current and future stages and provides a new scheme for sustainable development based on the concept of a community of shared future for mankind.