Alculated separately, and Lorenz curves are drawn for each indicator to
Alculated separately, and Lorenz curves are drawn for every indicator to visualize the differences. The outcomes are shown in Figure 5 and Table five, respectively. The findings show that rural electrical energy consumption differences are slightly greater than that of urban customers, but both are at a reduced level. Compared to electrical energy consumption, total power consumption shows a greater urban ural distinction, with its difference inside rural locations being substantially greater than in urban places. The difference in between the urban and rural Lorenz curves for bottled liquefied gas is extremely minor. The all round Gini coefficients for both coal and biomass exceed 0.9, and due to the fact both have greater penetration rates in rural location, their Gini coefficients in rural region are each lower. Pipeline all-natural gas features a penetration price of 45.19 in urban places, yet only 8.79 in rural locations, resulting in greater intrarural difference than intraurban distinction. It is a similar case for coal and biomass also. In addition, Table three shows that the Lorenz asymmetry coefficients for coal, bottled liquefied gas, pipeline natural gas, and biomass energy are all much less than 1, implying that these differences are mostly produced by lots of customers with a low level of power consumption.Energies 2021, 14, x FOR PEER Evaluation Energies 2021, 14,14 of 22 13 of1 0.8 0.six 0.four 0.2 0 0 rural urbancoal1 0.8 0.six 0.four 0.2bottled liquefied gasrural urban0.0.(a)1 0.8 0.six 0.four 0.2 0 0 0.five 1 rural urban 0.4 0.two 0(b)1 0.8 0.six rural urbanpipeline natural gasbiomass energy0.(c)1 0.8 rural 0.6 0.four 0.2 0 0 0.five 1 urban 0.6 0.four 0.two 0(d)1 0.eight rural urbanelectricitytotal power consumption0.(e)Figure 5. five. Lorenz curves by rural and urban location. Figure Lorenz curves by rural and urban location.Table five. Gini MNITMT web coefficient by rural and urban region.Coal Urban Rural Gini coefficient Lorentz asymmetry coefficient 0.965 0.934 0.891 0.846 Total 0.921 Bottled Liquefied Gas Urban 0.835 0.787 Rural 0.810 0.774 Total 0.820 Pipeline Natural Gas Urban 0.771 0.798 Rural 0.951 0.914 Total 0.884 Biomass Power Urban 0.986 0.971 Rural 0.913 0.922 Total 0.(f)Electrical energy Urban 0.381 0.945 Rural 0.455 1.049 Total 0.Total Energy Consumption Urban 0.497 1.099 Rural 0.680 1.075 Total 0.Energies 2021, 14,14 of7.two. Evaluation Based on Decomposing Gini Coefficient Just after studying the partnership among the general Gini coefficient as well as the urban ural Gini coefficient and additional investigating the source of such a difference, the general Gini Energies 2021, 14, x FOR PEER Critique 16 of 22 coefficient is decomposed as below: In Figure 6, far more than half in the total energy-consumption difference derives from within the rural regions. The structure in the sources of distinction for coal, bottled liquefied with additional decomposition among urban and rural locations, new trends and capabilities have gas, and electrical energy is extremely equivalent, all deriving mostly from intrarural household differemerged, structure of variations findings obtained by H1 the H2. For that reason, H3a is conences. The in addition to the solid in biomass power reveals and most intense urban ural firmed, and this result Mouse In stock implies the complicated and dynamic feature use biomass power in differences, due to the fact only an intensely smaller quantity of householdsof energy-consumption patterns in urban locations.China.100 90 80 70 60 50 40 30 20 ten 0 coal bottled liquefied gas pipeline all-natural gas biomass energy electrical energy total power consumption 42.77 42.34 15.51 25.00 59.25 37.76 8.40 11.52 6.75 12.03 44.
