Abstract
In this chapter we will lay out how economic analysts became aware of the increasing side effects of the use of fossil fuel-based energy and the potential for disasters that could arise therefrom.
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Notes
- 1.
Studies such as by Schüler (2019) evaluated Hamilton method’s cycle estimations in contrast to the HP filter by applying them to different time series.
- 2.
Hamilton (2018) applied these methods to different quarterly time series data and reported standard deviations of their regression residuals as well as a random walk. For example, the calculated standard deviations were: around 22 for S&P 500, 13 for investment, 3 for GDP, 3 for consumption, and around 1.5 for 10 year Treasury yield.
- 3.
- 4.
For reasons of transparency, we here refer to preferences over consumption only, but in advanced models, taking into account climate change and adaptation efforts, our objective function has to be considerably redefined—see Chap. 9.
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Appendix
Appendix
We present the current value Hamiltonian, for the infinite horizon, with \(\omega \) and \(\gamma \) as co-state variables or shadow prices of capital accumulation and accumulated resource constraints, respectively:
with \(Y=Q(K,S)=K^{\beta }S^{1-\beta }\). The necessary optimality conditions are obtained as
with \(Q_{S}=\partial Q(K,S)/\partial S\) and \(Q_{K}=\partial Q(K,S)/\partial K\).
Dasgupta and Heal (1974, pp. 10–11) showed the steps on how to derive the path for the consumption: \(\dot{C}/C{=}(Q_{K}-\theta -\delta ) / (\varepsilon (C)\) where \(\varepsilon (C)=-CU^{"}(C)/U^{'}(C)\).
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Nyambuu, U., Semmler, W. (2023). Fossil Fuel Resource Depletion, Backstop Technology, and Renewable Energy. In: Sustainable Macroeconomics, Climate Risks and Energy Transitions. Contributions to Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-27982-9_6
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