Statistical detection,regional differences and dynamic evolution of energy poverty in China
After China has made remarkable achievements in tackling poverty,overcoming relative poverty has become a difficult problem in the new period.Overcoming energy poverty will be an important task for China to promote energy transformation and achieve common prosperity.Based on the panel data of 30 provinces(autonomous regions and municipalities directly under the Central Government)in China from 2005 to 2021,this paper constructs a comprehensive evaluation index system to measure the energy poverty index,and studies the regional differences and distribution dynamics of energy poverty in China by using the two-dimensional decomposition method of Gini coefficient,kernel density estimation and Markov chain.Come to a conclusion:China's energy poverty has eased as a whole,with obvious regional differences;The overall difference is convergent,with the most obvious difference between regions and the largest difference in energy consumption structure.Energy poverty is persistent and characterized by"club convergence".The above conclusions will provide inspiration and decision-making reference for understanding the current situation of energy poverty in China and solving it.
energy povertystatistical measureregional differences
NETL
NSTL
万方数据
