search query: @indexterm POLLUTION / total: 343
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| Author: | Goeschl, T. Perino, G. |
| Title: | Innovation without magic bullets: stock pollution and R&D sequences |
| Journal: | Journal of Environmental Economics and Management
2007 : VOL. 54:2, p. 146-161 |
| Index terms: | pollution technology |
| Language: | eng |
| Abstract: | The optimal R&D trajectory is studied in a setting where new technologies are never perfect backstops in the sense that there is no perfectly clean technology that solves the pollution problem once and for all. New technologies have strings attached (i.e. each emits a specific stock pollutant). The paper derives the optimal pollution path and R&D program. Pollution stocks overshoot and in the long-run all available technologies produce. |
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