M
Michael Eichenseer
Researcher at University of Regensburg
Publications - 12
Citations - 38
Michael Eichenseer is an academic researcher from University of Regensburg. The author has contributed to research in topics: Public good & Public goods game. The author has an hindex of 3, co-authored 12 publications receiving 25 citations.
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Subsidizing renewables as part of taking leadership in international climate policy: The German case
TL;DR: In this article, the authors argue that the enormous reduction of prices for photovoltaic modules is due to demand side interventions like Germany's EEG and related international technology diffusion and policy transfer, especially to China.
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Advantageous leadership in public good provision: the case of an endogenous contribution technology
TL;DR: In this paper, the authors show that when the leading country has the option to employ a technology by which it can reduce its abatement costs and thus improve the productivity of its contribution technology, then both countries also are better off in the Stackelberg game than in the Nash game.
Posted Content
Technological Transfers in Global Climate Policy — A Strategic Perspective
TL;DR: In this paper, the effects of such a policy on total greenhouse gas mitigation and welfare of countries depend on the level of research and development (R&D) costs, the intensity and scope of technological spillovers, the size of the technological coalition and the number of countries outside the coalition.
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Leading by Example in Public Goods Experiments: What Do We Know?
TL;DR: In this article, the main results of leading-by-example in public goods experiments are explored and factors that foster or impede the success of leadership success are discussed. And the external validity in the context of global public goods is discussed.
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Conditional cooperation: Type stability across games
TL;DR: In this paper, the authors explore the within subject stability of cooperation preferences in a one-shot public goods game and a sequential prisoner's dilemma game, and they find that the prisoner-s dilemma performs well in identifying conditional cooperators while it is only an imperfect tool for identifying selfish types.