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(Un)fair Delegation: Exploring the Strategic Use of Equity Rules in International Climate Negotiations

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Abstract

We provide a new approach for identifying a strategic use of equity arguments in international (climate) negotiations. We first develop a theoretical model of strategic delegation which accounts for both environmental as well as equity preferences. We show that the strategic use of equity arguments qualitatively depends on the extent to which environmental preferences can be misrepresented: representatives from different countries may be expected to have similar equity views rather than widely differing perceptions of a fair share. Based on survey data on climate negotiations, we then provide empirical evidence for differences between equity preferences of citizens from Germany, China, and the U.S. and the perceived view on the position of their respective countries.

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Notes

  1. Good summaries of the early literature on strategic delegation are provided, e.g., by Fershtman et al. (1991), Jones (1989) and Segendorff (1998). Sengul et al. (2012) summarize the corresponding management literature. Christiansen (2013) discuss the role of strategic delegation in a domestic policy context.

  2. Strategic delegation may also backfire as it may unnecessarily lengthen and delay the bargaining process (Schotter et al. 2000).

  3. The selection of delegates is a political process where citizens are not directly involved. Instead, they may vote for a government which then may be responsible for selecting representatives.

  4. In recent climate conferences, the bloc of G77/China with its 134 member states is a diverse group with divergent interests and seemed to become more and more divided calling the negotiating power and relevance of this alliance into question. In Paris, however, the group was reportedly perceived as acting more reunited especially representing the common interests of financing climate damages and adaptation measures.

  5. For simplicity, we also assume marginal abatement costs to be equalized across countries.

  6. Given the possibly multi-dimensional preference space, the median voter theorem does not apply and we cannot make clear predictions as to which delegate will be send by an individual country. Instead we rely on making an assessment what preference combination any given citizen would prefer.

  7. Note that \(X_j/(1-\kappa _j)=(\theta _j-\theta _j^R)B'(A)/((1-\kappa _j)(c+\mu _j f_j^{'}))\) is identical for all j.

  8. Missing answers are due to choosing the ‘don’t know’ option.

  9. The question was also related to Russia, which we do not consider in our analysis.

  10. These regions are Beijing, Shanghai, Guangzhou, Shenyang, Wuhan, Chengdu, Shijiazhuang, Hefei, Lan-zhou, Yinchuan, and Quanzhou.

  11. Due to the differences in survey questions, citizens used a scale from “consider very strongly” to “consider very weakly”, while agents’ answers ranged from “a very high degree” to “no degree”. But responses were both measured on a symmetric five-point scale, which should lead to very similar evaluations.

  12. For example, Pauw et al. (2014) observe that the EU follows the polluter-pays principle which is also assessed as the expected position of the EU in the survey (see Table 1). G77/China is recently seen as negotiating in conformity with the egalitarian and polluter-pays rule accounting for historical emissions, again consistent with the assessed bargaining positions in the survey. Finally, the U.S. is seen as still emphasizing the responsibility and participation of developing countries and being bent on keeping its sovereignty. This is again in line with the emphasis of the sovereignty rule in the expected position in the survey, although their cost-efficient rule is the ability-to-pay principle (Lange et al. 2010). We also discussed this critical time lag with some experts in international climate policy, who share our view that negotiation positions hardly moved in recent years.

  13. Age and gender are the only socio-demographic characteristics that were collected in both surveys.

  14. The use of ordered probit models would certainly be an alternative, but would ignore potential interrelations between unobserved factors which determine the evaluation and assessment of the four burden sharing rules. Ordered probit models would further not allow to analyse differences between citizens’ general preferences for equity and parties’ general inclination to equity.

  15. We also find nearly no regional heterogeneity and thus omitted these variables from Tables 910 and 11 due to brevity. Only individuals from Hefei have a lower general equity preference relative to Chinese respondents from Beijing.

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Correspondence to Andreas Lange.

Additional information

We thank the editors and three anonymous referees for their extremely helpful comments. Funding of the research group “Institutionalization of International Negotiation Systems” by the Deutsche Forschungsgemeinschaft (DFG) as well as the research project “VolFair” by the German Federal Ministry of Education and Research (BMBF) is gratefully acknowledged.

Appendices

Appendix 1: Descriptions of Burden Sharing Rules

2004 survey among agents involved in international climate policy:

  • Polluter-pays rule (Principle of equal ratio between abatement costs and emissions): This means that a country whose greenhouse gas emissions amount to x% of the global greenhouse gas emissions should bear x% of the global abatement costs for reductions of greenhouse gas emissions.

  • Ability-to-pay rule (Principle of equal ratio between abatement costs and GDP): This means that a country whose GDP amounts to x% of the global gross product should bear x% of the global abatement costs for reductions of greenhouse gas emissions.

  • Egalitarian rule (Principle of equal per capita emissions): This means that a country whose population amounts to x% of the global population should get x% of the global entitlements for greenhouse gas emissions.

  • Sovereignty rule (Principle of equal percentage reduction of current emissions): This means that a country whose greenhouse gas emissions amount to x% of the global greenhouse gas emissions should get x% of the global entitlements for greenhouse gas emissions.

2013 survey among citizens:

  • Polluter-pays rule Every country has to bear costs according to the emissions it causes (hence countries causing higher emissions have a higher share of the costs).

  • Ability-to-pay rule Every country has to bear costs according to its economic strength (hence richer countries have a higher share of the costs).

  • Egalitarian rule Every country is allowed to produce the same amount of emissions per capita (hence countries with currently high emissions per capita have higher costs).

  • Sovereignty rule Every country is allowed to produce the same share of global emissions as in the past (hence the proportional reduction of emissions is the same for every country).

Appendix 2: Mathematical Derivations

1.1 Derivation of Condition (6)

We know that

$$\begin{aligned} \frac{1}{\kappa _i}\frac{u_i^R(a_i, A)- u_i^R(0,0)}{c+\mu _i^R f_j^{R,'}}=\frac{1}{\kappa _i}\frac{\theta _i^R B(A)-c a_i-\mu _i^R f_i^R}{c+\mu _i^R f_i^{R,'}}=:\lambda \end{aligned}$$

is identical for all i. Therefore,

$$\begin{aligned} a_i (c+\mu _i^R f_i^{R,'})= & {} \theta _i^R B(A)-\mu _i^R (f_i^{R}-f_i^{R,'}a_i)-\kappa _i \lambda (c+\mu _i^R f_i^{R,'}) \end{aligned}$$
(11)
$$\begin{aligned} A=\sum _j a_j= & {} \sum _j \frac{\theta _j^R B(A)-\mu _j^R (f_j^{R}-f_j^{R,'}a_j)}{(c+\mu _j^R f_j^{R,'})}-\underbrace{\sum _j \kappa _j}_{=1} \lambda \nonumber \\ \lambda= & {} -A+\sum _j \frac{\theta _j^R B(A)-\mu _j^R (f_j^{R}-f_j^{R,'}a_j)}{(c+\mu _j^R f_j^{R,'})} \end{aligned}$$
(12)

Reinserting \(\lambda \) from (12) into (11) immediately yields (6). \(\square \)

1.2 Proof of Proposition 1

For our first order linear approximation, for given parameters \(\mu _j\), \(\beta _j^{f,R}\), \(\theta _j\), condition (5) already determines the aggregate abatement level A.

A marginal change of the representative’s preference parameter affects utility of a given citizen as follows:

$$\begin{aligned} \frac{du_i}{d(\cdot )}=\left[ \frac{\partial u_i}{\partial A}+\frac{\partial u_i}{\partial a_i}\frac{\partial a_i}{\partial A}\right] \frac{\partial A}{\partial (\cdot )}+\frac{\partial u_i}{\partial a_i}\left[ \frac{\partial a_i}{\partial (\cdot )}\right] \end{aligned}$$

where \((\cdot )\) serves as a placeholder for any of the respective parameters. Using (5) and (6), we can rewrite

$$\begin{aligned} \frac{\partial u_i}{\partial A}+\frac{\partial u_i}{\partial a_i}\frac{\partial a_i}{\partial A}= & {} \theta _i B'(A)+\mu _i f_i^{'} \beta _i^{f}- (c+\mu _i f_i^{'})\frac{\theta _i^R B'(A)+\mu _i^R f_i^{R,'} \beta _i^{f,R}}{c+\mu _i^R f_i^{R,'}}\nonumber \\= & {} (c+\mu _i f_i^{'}) \left[ \frac{\theta _i B'(A)+\mu _i f_i^{'} \beta _i^{f}}{c+\mu _i f_i^{'}}-\frac{\theta _i^R B'(A)+\mu _i^R f_i^{R,'} \beta _i^{f,R}}{c+\mu _i^R f_i^{R,'}}\right] \nonumber \\=: & {} (c+\mu _i f_i^{'}) X_i \end{aligned}$$
(13)

where \(X_i\) reflects the differences in the preferences of the delegate R, \((\theta _i^R,\beta _i^{f,R},\mu _i^R)\), and those of the citizen \((\theta _i,\beta _i^f,\mu _i)\).

Therefore,

$$\begin{aligned} \frac{1}{c+\mu _i f_i^{'}}\frac{du_i}{d(\cdot )}=X_i \frac{\partial A}{\partial (\cdot )}-\frac{\partial a_i}{\partial (\cdot )} \end{aligned}$$

Now, with (5) we get:

$$\begin{aligned} \frac{\partial A}{\partial \theta _i^R}= & {} \frac{1}{\sum _j \frac{-\theta _j^R B''(A)}{c+\mu _j^R f_j^{R,'}}} \frac{B'(A)}{c+\mu _i^R f_i^{R,'}} \end{aligned}$$
(14)
$$\begin{aligned} \frac{\partial A}{\partial \beta _i^{f,R}}= & {} \frac{1}{\sum _j \frac{-\theta _j^R B''(A)}{c+\mu _j^R f_j^{R,'}}} \mu _i^R \frac{f_i^{R,'}(c+\mu _i^R f_i^{R,'})-f_i^{R,''} A(\beta _i^{f,R}c-\theta _i^R B'(A))}{(c+\mu _i^R f_i^{R,'})^2}\end{aligned}$$
(15)
$$\begin{aligned} \frac{\partial A}{\partial \mu _i^{R}}= & {} \frac{1}{\sum _j \frac{-\theta _j^R B''(A)}{c+\mu _j^R f_j^{R,'}}} \frac{f_i^{R,'}(\beta _i^{f,R}c-\theta _i^R B'(A))}{(c+\mu _i^R f_i^{R,'})^2} \end{aligned}$$
(16)

Similarly, with (6) and given that \(f_i^R-f_i^{R,'}a_i=f({\bar{a}}_i-\beta _i^{f,R}{\bar{A}})-f'({\bar{a}}_i-\beta _i^{f,R}{\bar{A}}){\bar{a}}_i\) at the equilibrium abatement levels, we obtain:

$$\begin{aligned} \frac{\partial a_i}{\partial \theta _i^R}= & {} (1-\kappa _i) \frac{B(A)}{c+\mu _i^R f_i^{R,'}}\end{aligned}$$
(17)
$$\begin{aligned} \frac{\partial a_i}{\partial \beta _i^{f,R}}= & {} (1-\kappa _i) \mu _i^R A \frac{f_i^{R,'}(c+\mu _i^R f_i^{R,'})+f_i^{R,''}(\theta _i^R B(A)-c a_i-\mu _i^R f_i)}{(c+\mu _i^R f_i^{R,'})^2}\end{aligned}$$
(18)
$$\begin{aligned} \frac{\partial a_i}{\partial \mu _i^{R}}= & {} -(1-\kappa _i) \frac{-f_i^{R,'}(\theta _i^R B(A)-c a_i)-c f_i^R}{(c+\mu _i^R f_i^{R,'})^2} \end{aligned}$$
(19)

Combining these equations and denoting \(L:=\sum _j \frac{-\theta _j^R B''(A)}{c+\mu _j^R f_j^{R,'}}>0\), we therefore obtain:

$$\begin{aligned} \frac{c+\mu _i^R f_i^{R,'}}{c+\mu _i f_i^{'}}\frac{du_i}{d\theta _i^R}= & {} \frac{X_i}{L} B'(A)-(1-\kappa _i)B(A) \end{aligned}$$
(20)
$$\begin{aligned} \frac{c+\mu _i^R f_i^{R,'}}{c+\mu _i f_i^{'}}\frac{du_i}{d\beta _i^{f,R}}= & {} \frac{X_i}{L} \mu _i^R \frac{f_i^{R,'}(c+\mu _i^R f_i^{R,'})-f_i^{R,''} A(\beta _i^{f,R}c-\theta _i^R B'(A))}{(c+\mu _i^R f_i^{R,'})}\nonumber \\&- (1-\kappa _i)\mu _i^R A \frac{f_i^{R,'}(c+\mu _i^R f_i^{R,'})+f_i^{R,''}(\theta _i^R B(A)-c a_i-\mu _i^R f_i)}{(c+\mu _i^R f_i^{R,'})} \end{aligned}$$
(21)
$$\begin{aligned} \frac{c+\mu _i^R f_i^{R,'}}{c+\mu _i f_i^{'}}\frac{du_i}{d \mu _i^{R}}= & {} \frac{X_i}{L} \frac{f_i^{R,'}(\beta _i^{f,R}c-\theta _i^R B'(A))}{(c+\mu _i^R f_i^{R,'})}\nonumber \\&\quad -\,(1-\kappa _i)\frac{-f_i^{R,'}(\theta _i^R B(A)-c a_i)-c f_i^R}{(c+\mu _i^R f_i^{R,'})} \end{aligned}$$
(22)

Note that at \((\theta _i^R,\beta _i^{f,R},\mu _i^R)=(\theta _i,\beta _i^f,\mu _i)\), we obtain \(X_i=0\) such that we immediately obtain:

$$\begin{aligned} \frac{c+\mu _i^R f_i^{R,'}}{c+\mu _i f_i^{'}}\frac{du_i}{d\theta _i^R}= & {} -(1-\kappa _i)B(A)<0\\ \frac{c+\mu _i^R f_i^{R,'}}{c+\mu _i f_i^{'}}\frac{du_i}{d\beta _i^{f,R}}= & {} -(1-\kappa _i)\mu _i^R A \frac{f_i^{R,'}(c+\mu _i^R f_i^{R,'})+f_i^{R,''}(\theta _i^R B(A)-c {\bar{a}}_i-\mu _i^R f_i)}{(c+\mu _i^R f_i^{R,'})}<0\\ \frac{c+\mu _i^R f_i^{R,'}}{c+\mu _i f_i^{'}}\frac{du_i}{d \mu _i^{R}}= & {} -(1-\kappa _i)\frac{-f_i^{R,'}(\theta _i^R B(A)-c{\bar{a}}_i)-c f_i^R}{(c+\mu _i^R f_i^{R,'})}>0 \end{aligned}$$

where the latter two follow from \(\theta _i^R B(A)-c a_i>\theta _i^R B(A)-c a_i-\mu _i^R f_i=u_i^R(a_i,A)-u_i^R(0,0)>0\). This immediately proves the claims in Proposition 1. \(\square \)

1.3 Derivation of (7) and (8)

We first derive (7). Using (20) and (21), we obtain at \(\frac{du_i}{d\theta _i^R}=0\):

$$\begin{aligned}&B'(A)\frac{(c+\mu _i^R f_i^{R,'})^2}{c+\mu _i f_i^{'}}\frac{du_i}{d\beta _i^{f,R}}\nonumber \\&\quad =(1-\kappa _i)\mu _i^R\left[ B(A)[f_i^{R,'}(c+\mu _i^R f_i^{R,'})-f_i^{R,''} A(\beta _i^{f,R}c-\theta _i^R B'(A))]\right. \nonumber \\&\qquad \left. -\,B'(A)A [f_i^{R,'}(c+\mu _i^R f_i^{R,'})+ f_i^{R,''}(\theta _i^R B(A)-c a_i-\mu _i^R f_i)]\right] \nonumber \\&\quad =(1-\kappa _i)\mu _i^R\left[ (B(A)-B'(A)A)f_i^{R,'}(c+\mu _i^R f_i^{R,'})\right. \nonumber \\&\left. \qquad - f_i^{R,''}A[B(A)(\beta _i^{f,R}c-\theta _i^R B'(A))]+B'(A)(\theta _i^R B(A)-c a_i-\mu _i^R f_i)]\right] \nonumber \\&\quad =(1-\kappa _i)\mu _i^R\left[ (B(A)-B'(A)A)f_i^{R,'}(c+\mu _i^R f_i^{R,'})\right. \nonumber \\&\qquad \left. +\, f_i^{R,''}A[-B(A)\beta _i^{f,R}c+B'(A)(c a_i+\mu _i^R f_i)]\right] \nonumber \\&\quad =(1-\kappa _i)\mu _i^R[\underbrace{(B(A)-B'(A)A)}_{>0}f_i^{R,'}(c+\mu _i^R f_i^{R,'})\\&\qquad +\,f_i^{R,''}B'(A)A(c\underbrace{(a_i- \eta _B\beta _i^{f,R}A)}_{>0}+\mu _i^R f_i)]]\nonumber \\&\quad >0 \end{aligned}$$

Turning to (8), and again using (20) and (22), we obtain at \(\frac{du_i}{d\theta _i^R}=0\):

$$\begin{aligned}&B'(A)\frac{(c+\mu _i^R f_i^{R,'})^2}{c+\mu _i f_i^{'}}\frac{du_i}{d{\hat{\mu }}_i^{R}}\nonumber \\&\quad = B'(A)\frac{X_i}{L} [f_i^{R,'}(\beta _i^{f,R}c-\theta _i^R B'(A))]-(1-\kappa _i)B'(A)[-f_i^{R,'}(\theta _i^R B(A)-c a_i)-c f_i^R]\nonumber \\&\quad =(1-\kappa _i)\left[ B(A) f_i^{R,'}(\beta _i^{f,R}c-\theta _i^R B'(A))+B'(A) f_i^{R,'}(\theta _i^R B(A)-c a_i)+B'(A) c f_i^R\right] \nonumber \\&\quad =(1-\kappa _i)\left[ B(A) f_i^{R,'}\beta _i^{f,R}c-B'(A) f_i^{R,'} c a_i+B'(A) c f_i^R\right] \nonumber \\&\quad =(1-\kappa _i)B'(A)f_i^{R,'}c\left[ \eta _B \beta _i^{f,R}A- a_i+ \eta _f (a_i-\beta _i^{f,R}A)\right] \nonumber \\&\quad =(1-\kappa _i)B'(A)f_i^{R,'}c\left[ (\eta _f-1)a_i-(\eta _f-\eta _B) \beta _i^{f,R}A)\right] \end{aligned}$$

\(\square \)

Appendix 3: Tables

Table 1 Summary statistics of estimation samples
Table 2 Parameter estimates and marginal/discrete probability effects in random and fixed effects models for the EU and Germany
Table 3 Parameter estimates and marginal/discrete probability effects in random and fixed effects models for G77/China
Table 4 Parameter estimates and marginal/discrete probability effects in random and fixed effects models for the U.S
Table 5 Average discrete probability and interaction effects in random effects probit models
Table 6 Difference between citizens’ equity preferences and observed positions of parties
Table 7 Description of (a) dependent and explanatory variables and (b) explanatory variables in Sect. 3.3
Table 8 Means (standard deviations) of dependent and explanatory variables in Sect. 3.3, restricted to estimation sample
Table 9 Parameter estimates in binary probit models for Germany
Table 10 Parameter estimates in binary probit models for China
Table 11 Parameter estimates in binary probit models for the U.S

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Lange, A., Schwirplies, C. (Un)fair Delegation: Exploring the Strategic Use of Equity Rules in International Climate Negotiations. Environ Resource Econ 67, 505–533 (2017). https://doi.org/10.1007/s10640-017-0140-9

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