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The paper analyzes the effects of more intense competition on firms' incentives to invest in process innovations. We carry out experiments for two-stage games, where R&D investment choices are followed by product market competition. As predicted by theory, an increase in the number of firms from...
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Optimal R&D investment is defined by deep uncertainty that can only partially be addressed through historical data. Thus, expert judgments expressed as subjective probability distributions are seen as an alternative way of assessing the potential of new technologies. In this paper we propose a...
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Carbon Capture Utilization and Storage (CCUS) stands as a pivotal technology crucial for achieving the most ambitious climate objectives. Despite its prominent inclusion in energy mix projections, its current deployment falls short of the requisite level. Additionally, uncertainties surrounding...
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Many predictions and conclusions in climate change literature have been made on the basis of theoretical analyses and quantitative models that assume exogenous technological change. One may wonder if those policy prescriptions hold in the more realistic case of endogenously evolving...
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We consider a symmetric three-stage game played by a pair of regulator-firm hierarchies to capture the scale and technology effects. Each firm produces one good sold on the market. The production process generates pollution characterized by a fixed emission/output ratio, and cross-borders. Firms...
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