1 China’s Energy Transition Strategy in the Context of Global …
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Fig. 1.10 Diagram of smart energy system
Energy and Regional Coordination—Enhance Regional Footprint and Work
Sharing among Regions
Apart from the aforementioned problems at the national level, China’s energy systems
also vary greatly from region to region. However, existing national energy policies
haven’t accommodated regional disparities in this regard. During the 12th FiveYear Plan period, for instance, China set a binding target of a 16% reduction in
energy intensity for nationwide implementation. A vast majority of provinces have
made corresponding targets of 15–17%. But it turned out differently for different
provinces. (see Fig. 1.11). This means that policy objectives should not be imposed
in a broad-brush fashion. Without adopting a case-by-case approach, national energy
policies would not benefit regional energy transition, and the national policy for
energy transition might end up nowhere.
In order for the state to introduce region-specific policies to propel regional energy
transition, a methodology of analyzing regional energy system with high technical
accuracy is needed. The author adopts the EAA-LMDI method (Energy Allocation
analysis-log Mean Divisia Index) in drawing the Sankey diagrams of energy distribution in provinces and municipalities in 2016 (as shown in Fig. 1.12), and conducted
cluster analysis based on the characteristics of energy systems in each region. The
figure reveals three stages from left to right: primary energy supply, intermediate
cyclization and energy end use in each province and municipality. The color of
the flow indicates the type of energy, and the width of the flow shows the amount of
23
Fig. 1.10 Diagram of smart energy system
Energy and Regional Coordination—Enhance Regional Footprint and Work
Sharing among Regions
Apart from the aforementioned problems at the national level, China’s energy systems
also vary greatly from region to region. However, existing national energy policies
haven’t accommodated regional disparities in this regard. During the 12th FiveYear Plan period, for instance, China set a binding target of a 16% reduction in
energy intensity for nationwide implementation. A vast majority of provinces have
made corresponding targets of 15–17%. But it turned out differently for different
provinces. (see Fig. 1.11). This means that policy objectives should not be imposed
in a broad-brush fashion. Without adopting a case-by-case approach, national energy
policies would not benefit regional energy transition, and the national policy for
energy transition might end up nowhere.
In order for the state to introduce region-specific policies to propel regional energy
transition, a methodology of analyzing regional energy system with high technical
accuracy is needed. The author adopts the EAA-LMDI method (Energy Allocation
analysis-log Mean Divisia Index) in drawing the Sankey diagrams of energy distribution in provinces and municipalities in 2016 (as shown in Fig. 1.12), and conducted
cluster analysis based on the characteristics of energy systems in each region. The
figure reveals three stages from left to right: primary energy supply, intermediate
cyclization and energy end use in each province and municipality. The color of
the flow indicates the type of energy, and the width of the flow shows the amount of