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E-Mobility and Related Clean Technologies from an Empirical Corporate Finance Perspective

State of Economic Research, Sourcing Risks, and Capital Market Perception


Christian Babl

The book deals with the use of clean technologies and in particular of electronic mobility from the perspective of the empirical capital market. The author sheds light on the developments of economic research in the past 20 years, identifies research gaps and analyses them in detail if data is sufficient. Based on the example of rare earths, he presents the impact of future raw material shortages when using mobile electronic technologies and proposes possible solutions for all market players from a financial research perspective. In addition, the book presents a first assessment of the industry’s innovation development by means of the capital-market oriented evaluation of corporate cooperations in the field of electronic mobility.
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2.1. Publications included. The data set completely covers the three journals with a focus on environmental economics (ZfU, ZfE, GAIA) from 1990-2012. Additionally, the set includes all relevant articles published in VHB-ranked and German journals with a ranking of D and higher

2.2. Author productivity list. The table lists the most productive authors ranked by publications weighted score. In addition, the (fractional) number of publications and citations (without self-citations) are provided. The last column shows the VHB-relevant publications found in the data set

2.3. Most cited documents. The list separates the results for each delineated journal. Ranking according to absolute citation counts w/o self-citations

2.4. Table of cluster. The table can be assigned to the network in Figure 2.3. The cluster number directly refers to numbering of the network. The cluster size describes the amount of documents of the respective cluster. The citation period covers the years when the cluster was cited. Column most central document refers to the most central article in terms of degrees. The last column contains content information

2.5. Sensitivity parameters. The choice of the cocitation mapping method and parameter settings heavily depend on the particular application. The settings may vary from very sensitive topic detection to the detection of the most influential publications of a research field

2.6. Results: Cleantech relevant clusters

3.1. Worldwide mine production and reserves in metric tonnes (REO), 2011 (USGS, 2012)

4.1. Proposed solutions and...

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