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Indicators for energy transition targets in China and Germany: A text analysis

Abstract Indicators are an essential component of national strategies and policies relating to energy transition and regulation. Both China and Germany are expected to take the lead on the global effort to achieve clean energy and a reduction in GHG emissions. A better understanding of the institutional environment in both countries will guide those who follow them. By using text analysis, we have examined the main energy indicators used in official strategies and policies and divided them into ten categories. We have found that both countries value renewable energy as a solution to energy transition, although in China “non-fossil energy” appears more often in political documents, and “nuclear energy” is valued as an important source. In Germany, short-, medium- and long-term indicators are clearly stated and are consistent over time and between documents. Meanwhile, in China the indicators and targets are updated every five years, which fits with the rapid domestic development of the country but fails to provide a clear long-term vision. We argue that the roots of such differences can be found in governance systems, the global energy market, and national political and economic priorities, and that international cooperation is needed to standardize energy indicators so that the global energy transition can be navigated more effectively.
- Zhejiang Ocean University China (People's Republic of)
- Institute for Advanced Sustainability Studies Germany
- Guangzhou Institute of Energy Conversion China (People's Republic of)
- Research Institute for Sustainability at GFZ Germany
- Zhejiang Ocean University China (People's Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).29 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
