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Abstract Background In order to achieve an environmentally friendly and sustainable energy supply, it is necessary that this goal is supported by society. In different countries worldwide it has been shown that one way consumers want to support the energy transition is by switching to green electricity. However, few people make the leap from their intention to a buying decision. This study explores parameters that influence whether German consumers would hypothetically decide to switch to a green electricity tariff. Methods A quota-representative online survey including a discrete choice experiment with 371 German private households was conducted in 2016. For the econometric analysis, a generalized multinomial logit model in willingness-to-pay space was employed, enabling the estimation of WTP values to be as realistic as possible. Results The results show that consumers’ decision whether or not to make the switch to green energy is mainly influenced by the source of green energy, whether a person can outsource the switching process, and a person’s attitude towards the renewable energy sources levy that currently exist in Germany. Conclusions The findings indicate that politics should focus on supporting wind and solar energy as German consumers prefer these sources over biogas. As the results suggest, the EEG levy is a reason why consumers have lower WTP for switching to a green tariff. Therefore, a switching bonus with a specifically “framed” bonus in the amount of the current EEG levy could be a promising strategy for the increase of green energy tariff acceptance. Furthermore, attention should be given to psychological and behavioral aspects, as the results indicate that these factors influence the consumer’s choice for a green electricity tariff.

Background: In order to achieve an environmentally friendly and sustainable energy supply, it is necessary that this goal is supported by society. In different countries worldwide it has been shown that one way consumers want to support the energy transition is by switching to green electricity. However, few people make the leap from their intention to a buying decision. This study explores parameters that influence whether German consumers would hypothetically decide to switch to a green electricity tariff. Methods: A quota-representative online survey including a discrete choice experiment with 371 German private households was conducted in 2016. For the econometric analysis, a generalized multinomial logit model in willingness-to-pay space was employed, enabling the estimation of WTP values to be as realistic as possible. Results: The results show that consumers' decision whether or not to make the switch to green energy is mainly influenced by the source of green energy, whether a person can outsource the switching process, and a person's attitude towards the renewable energy sources levy that currently exist in Germany. Conclusions: The findings indicate that politics should focus on supporting wind and solar energy as German consumers prefer these sources over biogas. As the results suggest, the EEG levy is a reason why consumers have lower WTP for switching to a green tariff. Therefore, a switching bonus with a specifically "framed" bonus in the amount of the current EEG levy could be a promising strategy for the increase of green energy tariff acceptance. Furthermore, attention should be given to psychological and behavioral aspects, as the results indicate that these factors influence the consumer's choice for a green electricity tariff. [ABSTRACT FROM AUTHOR]

Proactive subscriber churn management strategies of mobile network operators (MNOs) require that steps are taken to keep customers before they hand over a formal notice of termination to their provider. Therefore, several studies have analyzed how MNO customers who gave a termination announcement differ from individuals who did not communicate this message. However, no work has examined such differences among subscribers who recently switched to another tariff of their MNO. Therefore, this paper explores socio-demographic, service consumption and tariff change differences between contract cancellation “announcers” and “non-announcers” in a sample of 1810 postpaid customers who had changed their rate plan not long ago. Cancellation announcers were more likely to be males who decreased their mobile voice consumption after their tariff switch, had already attempted to churn in the past, had moved from an unmetered to a metered rate type, paid higher monthly bill amounts and received no discounts on their current rate plan that was introduced on the market some time ago. Among subscribers who gave a termination notice, early (late) cancellation announcers were more likely to be older (younger) customers with a growing (shrinking) SMS consumption after their tariff switch, had not attempted (had already tried) to leave their current MNO in the past, and were in a rate plan that was (not) recently introduced. The findings contribute to the literature on mobile customer retention and have implications for practitioners and scholars. [ABSTRACT FROM AUTHOR]