Abstract
The strategic roles of adaptation and technological investment in international climate politics have been analyzed within various approaches. What makes this paper unique is that we investigate the combined impact of adaptation and investment on global mitigation and we compare the subgame-perfect equilibria for different sequences of decisions. Considering a purely non-cooperative, game-theoretic framework, we find that by investment countries commit to lower national contributions to the global public good of mitigation. Moreover, the order of adaptation before mitigation might reinforce this strategic effect of technological investments. As a consequence, the subgame-perfect equilibrium for symmetric countries yields a globally lower level of mitigation, and higher global costs of climate change when countries engage in advanced adaptation. Besides this theoretical contribution, the paper proposes some strategies to combat the unfortunate ‘rush to adaptation’ which can be currently observed in climate politics.
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Notes
Some authors argue that, naturally, mitigation is chosen before adaptation because of the inertia of the climate system and the long term effects of mitigation (Buob and Stephan 2011, Ebert and Welsch 2012). However, adaptation consists of numerous heterogeneous strategies and some of them can also be decided before mitigation. For instance, there is facilitative adaptation which enhances the adaptive capacity of the population (Tol 2005), or adaptation with characteristics of investment (Zehaie 2009) which both have to be decided in the long term. Auerswald et al. (2011) also consider the case of advanced adaptation when analyzing the impact of risk preferences on climate policy. At least when countries fail to contribute to mitigation in the short term, they will have to decide on their adaptation strategies before mitigation.
The decision makers in our model are countries that incentivize the private sector through subsidies, taxes or regulations. Thus, we do not differentiate between various decision makers at the national level and, therefore, we do not distinguish between private and public efforts of mitigation, adaptation, and investment, either. Instead, we assume that the variables \(A\), \(M\) and \(I\) (as well as \(a\), \(m\) and \(i\)) represent the aggregate national levels of adaptation, mitigation and investment.
Since we do not consider a repeated game, investment in technology is irreversible, i.e. investment once made cannot be adjusted (that is increased or decreased) in a later stage. Due to irreversibility in a one-shot game, investment allows for credibly committing to specific behaviors (here: mitigation effort) that are affected by the investment in subsequent stages (cf. Ulph 1996). The same reasoning holds for adaptation.
The subscripts 1 (2) denote the partial derivatives of a function with respect to its first (second) argument, e.g. \(D_{1}=\frac{\partial D}{\partial M}=\frac{\partial D}{\partial m}\) and \(D_{2}=\frac{\partial D}{\partial A}\). Furthermore, since the damage function is assumed to be strictly convex, we have \(D_{11}D_{22}-[D_{12}]^{2}>0\).
Despite the debate on adaptation and mitigation being complements, we follow the predominant opinion in the literature of a substitutional relationship between adaptation and mitigation (for a broader discussion of this topic see, e.g., Ingham et al. 2005, 2007; Lecocq and Shalizi 2007 as well as Pittel and Rübbelke 2013). In their paper about adaptation funding, Buob and Stephan (2013) show that the economic effects crucially depend on whether adaptation and mitigation are substitutes or complements.
Cf. Buchholz and Konrad (1994) for a similar reasoning. Strict convexity implies \(C_{11}C_{22}-[C_{12}]^{2}>0\), and the Inada conditions are assumed to hold: \(\lim _{I\rightarrow 0} C_{2}=-\infty \), \(\lim _{I\rightarrow \infty }C_{2}=0\).
Adaptation costs may also depend on technological innovation, but the link between adaptation costs and technology is considerably weaker than between mitigation costs and technology as adaptation measures mainly involve the prevention or removal of losses stemming from climate change. Mitigation, however, inherently depends on the transition from traditional to low carbon and energy-efficient technologies (see, e.g. Buchholz and Konrad 1994).
The assumptions of Sect. 2 regarding the curvature of the damage and cost functions constitute necessary conditions for the convexity of the objective function. Moreover, in the following we assume that in each stage of the game there is a stable and unique equilibrium which can be guaranteed by an objective function which is convex in the relevant decision variable of the respective country.
This relation holds due to convexity of the damage function \(D.\)
However, strategic substitutability changes with sequencing in the sense that \(-1<\frac{dM}{dm}=-\frac{D_{11}}{C_{11}+D_{11}}<0.\) The best response when mitigation is chosen before adaptation is not as elastic as for the opposite order.
See “Mitigation and Intermediate Adaptation” in “Appendix 1” and cf. Zehaie (2009) for a similar result.
To be precise, this requires the third-order derivatives of \(C(\cdot )\) and \(D(\cdot )\) to be sufficiently small or ideally zero which will be true for (quadratic) polynomial costs of degree two. In case of arbitrary cost functions we then apply their second-order Taylor approximation. In economic terms, this assumption implies that the substitutability of domestic adaptation and foreign mitigation is constant or, in other words, the inter-sequential reaction functions are linear.
See “Impact of a Reverse Sequencing” in “Appendix 1” for the formal analysis of these results.
We define “globally superior (inferior) result” as a global allocation in which the sum of mitigation in home and foreign as well as the national levels of adaptation in each case are closer to (deviate further from) the globally efficient allocation. In case of symmetric countries, a globally inferior allocation leads to higher global costs since we assume diminishing marginal returns and increasing marginal costs of mitigation and adaptation. Accordingly, a further deviation from the efficient allocation leads to higher damages and higher adaptation costs which cannot be compensated by lower mitigation costs.
Assuming symmetric countries, the equilibrium allocation of intermediate adaptation is inferior in each country compared to the equilibrium allocation of late adaptation, i.e. the equilibrium levels of mitigation, adaptation and investment deviate further from the efficient levels in case of intermediate adaptation. Due to monotonously decreasing marginal returns as well as monotonously increasing marginal costs of adaptation, mitigation, and investments, total costs in each country increase with a further deviation from efficiency in each variable.
The determinant \(\det _{1}=[c_{11}+d_{11}][C_{11}+D_{11}]-d_{11}D_{11}\) is always positive. Thus, the Nash equilibrium at that stage is stable and unique, cf. Tirole (1988, p. 324).
It can be checked that the determinant of the matrix in (11) is always negative.
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We have benefited from discussions at the workshop on ‘The Future of Climate Policy’ in Regensburg and at conferences in Bad Honnef, Dresden, and Toulouse as well as from Marcel Thum’s valuable comments. Furthermore, we thank two anonymous referees as well as the editor for helpful reviews. We also gratefully acknowledge financial support from the German Federal Ministry of Education and Research, FKZ01LA1139A.
Appendices
Appendix 1: Intermediate and Late Adaptation (Asymmetric Case)
1.1 Mitigation and Intermediate Adaptation
The impact intermediate adaptation has on mitigation in the third stage can be determined by differentiating the first-order conditions of mitigation in home and foreign (5) with respect to adaptationFootnote 17
From (14) it can be seen that domestic adaptation has a negative (positive) impact on domestic (foreign) mitigation, \(\frac{\partial M}{\partial A}=-\left[ c_{11}+d_{11}\right] \cdot D_{12}/\det _{1}<0\) and \(\frac{\partial m}{\partial A}=d_{11}\cdot D_{12}/\det _{1}>0\). However, as \(\frac{\partial \left[ M+m\right] }{\partial A}=-c_{11}\cdot D_{12}/\det _{1}<0\) the overall effect of adaptation on global mitigation is negative. The impact of foreign adaptation is analogous.
1.2 Impact of a Reverse Sequencing
In order to determine the impact of a reverse sequencing of adaptation and mitigation has on the subgame-perfect equilibria in stage 2 (including stage 3), we have to analyze the comparative statics of the choices on \((M,m,A,a)\). The first-order conditions with respect to mitigation, (4) and (5), are identical in either case of sequencing, but the optimal choices on adaptation, (3) and (6) differ with respect to the strategic term. However, we can integrate both in a single approach such that the first-order conditions for home and foreign, respectively, are given by
Here, the parameter \(\delta \) serves to distinguish the different cases, \(\delta =0\) represents the standard case late adaptation, and \(\delta =1\) stands for intermediate adaptation. For convenience we assume that \(\frac{\partial m}{\partial A}\) and \(\frac{\partial M}{\partial a}\) are approximately constant and, thus, independent of mitigation and adaptation itself.
Proof for part i ) of Proposition 1: In order to analyze the impact of sequencing, we totally differentiate the first-order conditions (15) and (16) of the decisions on adaptation regarding \(\delta \).
Inserting (14) and rearranging terms yields
with \(\omega = g_{11}+d_{22}+\delta d_{12}\frac{\partial M}{\partial a}\) and \(\Omega = G_{11}+D_{22}+\delta D_{12}\frac{\partial m}{\partial A}\).
All elements of the 2 \(\times \) 2-matrix above are positive and both elements of the vector are negative. Furthermore, it can be shown (after some tedious math) that the appropriate determinant \(det_{2}\) is positive as well. Hence, the levels of adaptation in home and foreign increase in \(\delta \), i.e. \(\frac{\partial A}{\partial \delta }>0\) and \(\frac{\partial a}{\partial \delta }>0\). Therefore, the equilibrium levels of adaptation are higher in each country in case of advanced adaptation, i.e. \(A^{\blacktriangle }>A {{}^\bullet }_{{}}.\)
Proof for part ii ) of Proposition 1: The first-order conditions with respect to mitigation, (4) and (5), are identical and do not directly depend on \(\delta \). Thus, mitigation in home and foreign is just indirectly affected by the sequencing of adaptation and mitigation, which can be represented by \(\frac{\partial M}{\partial \delta }=\frac{\partial M}{\partial A}\frac{\partial A}{\partial \delta }+\frac{\partial M}{\partial a} \frac{\partial a}{\partial \delta }\) and, accordingly, \(\frac{\partial m}{\partial \delta }=\frac{\partial m}{\partial A}\frac{\partial A}{\partial \delta }+\frac{\partial m}{\partial a}\frac{\partial a}{\partial \delta }.\) Due to opposing effects of increasing adaptation in home and foreign on mitigation (see “Mitigation and Intermediate Adaptation” in “Appendix 1”), the signs of \(\frac{\partial M}{\partial \delta }\) and \(\frac{\partial m}{\partial \delta } \) cannot be determined unambiguously for asymmetric countries. However, the overall impact of intermediate adaptation yields a globally lower level of mitigation since \(\frac{\partial \left[ M+m\right] }{\partial \delta }=\frac{\partial \left[ M+m\right] }{\partial A}\frac{\partial A}{\partial \delta }+\frac{\partial \left[ M+m\right] }{\partial a}\frac{\partial a}{\partial \delta }<0\) due to \(\frac{\partial \left[ M+m\right] }{\partial A},\frac{\partial \left[ M+m\right] }{\partial a}<0\) (cf. “Mitigation and Intermediate Adaption” in “Appendix 1”). Thus, the total level of mitigation in equilibrium decreases with \(\delta \in [0;1]\) such that \(\left[ M^{\blacktriangle }+m^{\blacktriangle }\right] <\left[ M{{}^\bullet } +m {{}^\bullet } \right] \). Therefore, at least in one of the two countries the level of mitigation is lower for intermediate adaptation. Moreover, for symmetric countries it can be shown that \(\frac{\partial M}{\partial \delta } =\frac{\partial m}{\partial \delta }=-\frac{C_{11}D_{12}}{\det _{1}} \frac{\partial A}{\partial \delta }<0\), i.e. mitigation in both home and foreign is smaller when adaptation is advanced. As all best-response functions are continuous, the same result holds true even for slightly asymmetric countries.
1.3 Impact of Enhanced Investment
In the following, we determine the effects of investment on mitigation and adaptation, respectively. Starting point for the comparative statics are (15) and (16) for the choice on adaptation and (4) or (5) for mitigation. Again, the parameter \(\delta \) helps to distinguish between late (\(\delta =0\)) and intermediate adaptation (\(\delta =1\)). As before, we assume that \(\frac{\partial m}{\partial A}\) and \(\frac{\partial M}{\partial a}\) are approximately constant and, thus, independent of mitigation and adaptation itself.
First, we totally differentiate the first-order conditions of the decisions on mitigation of home and foreign (4) and (5), respectively, which are identical for either sequencing. This yields
Second, we totally differentiate the first-order conditions of the decisions on adaptation, (15) and (16), with respect to the endogenous variables
which shows that adaptation is a substitute to domestic and foreign mitigation.
In order to determine the effect of investment on mitigation, we substitute \((dA; da)\) from (19) into (18). Rearranging terms and solving the equation system for the change in mitigation yields
where determinant \(\det _{3}=\left[ C_{11}+\frac{D_{11}\left[ G_{11} +D_{22}\right] -\left[ D_{12}\right] ^{2}}{G_{11}+D_{22}+\delta D_{12} \frac{\partial m}{\partial A}}\right] \left[ c_{11}+\frac{d_{11}\left[ g_{11}+d_{22}\right] -[d_{12}]^{2}}{g_{11}+d_{22}+\delta d_{12}\frac{\partial M}{\partial a}}\right] -\left[ \frac{ D_{11}\left[ G_{11} +D_{22}\right] -\left[ D_{12}\right] ^{2} }{G_{11}+D_{22}+\delta D_{12} \frac{\partial m}{\partial A}} \right] \left[ \frac{ d_{11}\left[ g_{11}+d_{22}\right] -\left[ d_{12}\right] ^{2} }{g_{11}+d_{22}+\delta d_{12}\frac{\partial M}{\partial a}} \right] \) is always positive such that the Nash equilibrium is again stable and unique (Tirole 1988). Comparative statics show that domestic investment is a strategic complement (substitute) to domestic (foreign) mitigation, i.e. \(\frac{\partial M}{\partial I} =-\frac{C_{12}}{\det _{3}}\left[ c_{11}+\frac{d_{11}\left[ g_{11} +d_{22}\right] -[d_{12}]^{2}}{g_{11}+d_{22}+\delta d_{12}\frac{\partial M}{\partial a}}\right] >0\) and \(\frac{\partial m}{\partial I}=\frac{C_{12} }{\det _{3}}\left[ \frac{d_{11}\left[ g_{11}+d_{22}\right] -\left[ d_{12}\right] ^{2}}{g_{11}+d_{22}+\delta d_{12}\frac{\partial M}{\partial a} }\right] <0\). Moreover, investment encourages mitigation efforts globally \(\frac{\partial (M+m)}{\partial I}=-C_{12}\cdot c_{11}/\det _{3}>0.\) The first two relations directly follow from the convexity of the damage functions, i.e. \(d_{11}d_{22}-\left[ d_{12}\right] ^{2}>0\). Furthermore, the denominators are positive irrespective of the sequential choice of adaptation and mitigation since \(\frac{\partial M}{\partial a},\frac{\partial m}{\partial A}>0\) [cf. (14)].
Next, we determine the strategic effect of investment on adaptation. Although technological investment at stage one has no direct impact on adaptation [cf. (19)], there are crabwise implications through the mitigation choices. By inserting (20) into (19), we substitute \((dM; dm)\). Rearranging terms and solving the equation system for the changes in adaptation yields
Comparative statics show that adaptation is a substitute to each domestic and foreign investment, i.e. \(\frac{\partial A}{\partial I}<0 \) and \(\frac{\partial A}{\partial i}<0.\)
Appendix 2: Symmetric Subgame Perfect Equilibria
1.1 Late Versus Intermediate Adaptation
We investigate the effect of sequencing on the subgame-perfect equilibria when investment is decided in the first stage. Inverting the 3 \(\times \) 3 matrix in (11) we determine the signs of the comparative staticsFootnote 18
where \(A_{ij}\) is an abbreviation for the cofactors of the 3 \(\times \) 3-matrix of (11), i.e.
The signs of the cofactors can be determined (after some tedious math) by substituting \(\frac{d m}{d I}\) from (20), inserting the definition of \(\det _{3},\) and rearranging terms such that \(\left[ C_{12}-C_{11}\frac{d m}{d I}\right] <0\) and \(\left[ C_{22}-C_{12}\frac{d m}{d I}\right] >0.\)
The two strategic terms that appear when adaptation is advanced have countervailing effects on the equilibrium levels of investment, mitigation and adaptation. However, it can be shown that the direct strategic effects of adaptation on mitigation \(A_{3j} \cdot {\frac{\partial m}{\partial A}}\) outweigh the indirect ones of investment on mitigation \(A_{1j} \cdot \frac{\partial m}{\partial a}\frac{\partial a}{\partial I}\) in each case if the cross-derivative of the mitigation cost function \(C_{12}\) is sufficiently small. Having a closer look at the strategic effects, we observe that the indirect strategic term crucially depends on the cross-derivative \(C_{12}\), while the direct one does not [see (14) and (21)]. For \(C_{12} \rightarrow 0\) the indirect effects disappear since \(\frac{\partial m}{\partial a}\frac{\partial a}{\partial I} \rightarrow 0\) as well as \(A_{11}, A_{12} \rightarrow 0 \), i.e. the sizes of the indirect effects vanish when \(C_{12}\) is sufficiently small. However, the sizes of the direct effects of adaptation on mitigation, \(\frac{\partial m}{\partial A}\) and the cofactors \(A_{3j}\) do not vanish when \(C_{12}\) approaches zero. Thus, in case of a sufficiently small level of \(C_{12}\), the direct effects dominate which yields \(dA/d\delta >0,\) \(dM/d\delta <0\) and \(dI/d\delta <0.\) Continuity implies that the results hold true even for slightly asymmetric countries.
1.2 Late Versus Early Adaptation
Comparative statics of the third stage yield \(\frac{\partial m}{\partial I}=\frac{d_{11}C_{12}}{det_{1}}<0\) and \(\frac{\partial m}{\partial A}=\frac{d_{11}D_{12}}{det_{1}}>0 \), i.e. domestic investment has a negative impact on foreign mitigation and domestic adaptation induces an increase in foreign mitigation. Again we assume that the direct effect dominates the indirect one \(\frac{d m}{d A} \equiv \frac{\partial m}{\partial A} + \frac{\partial m}{\partial i} \frac{\partial i}{\partial A }>0\).
Analogous to the comparison of late and intermediate adaptation, totally differentiating (12) with respect to \(\beta \) and inverting the 3 \(\times \) 3-matrix, the signs of the effects of early adaptation on the equilibrium allocation can be derived
The signs are unambiguous: \(dA/d\beta >0,\) \(dM/d\beta <0\) and \(dI/d\beta <0\). Consequently, early adaptation is globally inferior in comparison to late adaptation at least for symmetric countries.
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Heuson, C., Peters, W., Schwarze, R. et al. Investment and Adaptation as Commitment Devices in Climate Politics. Environ Resource Econ 62, 769–790 (2015). https://doi.org/10.1007/s10640-015-9887-z
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DOI: https://doi.org/10.1007/s10640-015-9887-z