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      Aviation policy instrument choice in Europe: high flying and crash landing? Understanding policy evolutions in the Netherlands and Germany

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      Journal of Public Policy
      Cambridge University Press (CUP)

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          Abstract

          In the public debate on climate change in Europe, aviation transport has become a bone of contention and thus also a target of political regulation. While the actual available policy instruments, their designs and effects have been extensively studied, their political economy has remained a rather blind spot of research. Therefore, in this article we explore factors accounting for the instrument choice in aviation policy. Revealing most different evolutions in this matter, the Netherlands and Germany represent appropriately illustrative cases for a comparative exploration. Based on the Political Process-inherent Dynamics Approach, we shed light on a highly complex and limiting institutional environment for aviation policy-making and ultimately identify diverging conceptions of problem structures as well as different configurations of party competition as main explanatory factors for instrument choice and aviation policy evolution.

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          Governing the Commons

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            Political Parties and Macroeconomic Policy

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              Aviation and global climate change in the 21st century

              Aviation emissions contribute to the radiative forcing (RF) of climate. Of importance are emissions of carbon dioxide (CO2), nitrogen oxides (NO x ), aerosols and their precursors (soot and sulphate), and increased cloudiness in the form of persistent linear contrails and induced-cirrus cloudiness. The recent Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC) quantified aviation's RF contribution for 2005 based upon 2000 operations data. Aviation has grown strongly over the past years, despite world-changing events in the early 2000s; the average annual passenger traffic growth rate was 5.3% yr−1 between 2000 and 2007, resulting in an increase of passenger traffic of 38%. Presented here are updated values of aviation RF for 2005 based upon new operations data that show an increase in traffic of 22.5%, fuel use of 8.4% and total aviation RF of 14% (excluding induced-cirrus enhancement) over the period 2000–2005. The lack of physical process models and adequate observational data for aviation-induced cirrus effects limit confidence in quantifying their RF contribution. Total aviation RF (excluding induced cirrus) in 2005 was ∼55 mW m−2 (23–87 mW m−2, 90% likelihood range), which was 3.5% (range 1.3–10%, 90% likelihood range) of total anthropogenic forcing. Including estimates for aviation-induced cirrus RF increases the total aviation RF in 2005–78 mW m−2 (38–139 mW m−2, 90% likelihood range), which represents 4.9% of total anthropogenic forcing (2–14%, 90% likelihood range). Future scenarios of aviation emissions for 2050 that are consistent with IPCC SRES A1 and B2 scenario assumptions have been presented that show an increase of fuel usage by factors of 2.7–3.9 over 2000. Simplified calculations of total aviation RF in 2050 indicate increases by factors of 3.0–4.0 over the 2000 value, representing 4–4.7% of total RF (excluding induced cirrus). An examination of a range of future technological options shows that substantive reductions in aviation fuel usage are possible only with the introduction of radical technologies. Incorporation of aviation into an emissions trading system offers the potential for overall (i.e., beyond the aviation sector) CO2 emissions reductions. Proposals exist for introduction of such a system at a European level, but no agreement has been reached at a global level.
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                Author and article information

                Contributors
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                Journal
                Journal of Public Policy
                J. Pub. Pol.
                Cambridge University Press (CUP)
                0143-814X
                1469-7815
                September 2022
                April 19 2022
                September 2022
                : 42
                : 3
                : 593-613
                Article
                10.1017/S0143814X22000034
                3cfb5d8b-809a-4e8b-845c-4043c0058abb
                © 2022

                http://creativecommons.org/licenses/by/4.0/

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