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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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List of Figures


1.1. EVs and PHEVs: Worldwide units sold and market shares from Q3 2012 to Q2 2013. Data from Bernhart et al. (2013).

1.2. Chapter overview. The dissertation consists of three main parts (chapter 2-4), an introduction (Chapter 1), and a synthesis in the form of conclusive remarks and an outlook (Chapter 5)

2.1. Concept of bibliometric co-citation and coupling in graph notation

2.2. Collaboration measures. The collaboration index (CI) is shown on the left, the collaboration coefficient (CC) on the right

2.3. Visualization of high impact environmental economics cocitation clusters with Coc ≥ 2. Identification of 75 documents in 16 clusters. Cluster numbers help to assign the network to Table 2.4

2.4. Visualization of environmental economics co-citation clusters with Coc = 1. Search sensitive identification of 637 documents in 77 clusters. The ten Cleantech related clusters are highlighted in numbers from 1-10 and correspond to Table 2.6

2.5. Close-up of the large-sized cluster with several research foci.

3.1. Path of Lanthanum metal FOB China min 99% a) spot prices and b) corresponding log-returns from January 2002 till November 2012

3.2. Quantile plot of Lanthanum metal log-returns. The left hand illustration shows the fitted t-location-scaled distribution with parameters µ, σ and ν. This can be compared to the more accurate non-parametric kernel-distribution on the right

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