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Fiscal and Environmental Sustainability: Is Public Debt Environmentally Friendly?

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Abstract

This article assesses the dilemma that most governments face when seeking to ensure the sustainability of their public finances through economic growth while simultaneously protecting the environment. We propose a growth model in which the government finances abatement-spending through taxation or public debt and which follows a fiscal rule that targets the long-run debt-to-GDP ratio. We show that there is a threshold for the debt ratio below which debt and environmental sustainability are secured. In steady state, the debt ratio exerts a nonlinear effect on environmental quality in the form of an inverted U-shaped curve, and the environmental tax is good for the environment when public debt is not. A fiscal rule authorizing a small but strictly positive debt ratio could help the government to implement adaptation policies for environmental protection while supporting long-run economic growth.

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Notes

  1. The goal of these swaps was indeed to provide developing countries with external debt relief to reduce their debt burden and mitigate the crowding-out effect, in exchange for investment in environmental conservation (see Hansen 1989, for a review). However, Cassimon et al. (2011) have cast doubt on the possibility of scaling-up debt-for-nature swaps.

  2. According to the IMF (2018), as of 2015, at least 70 countries worldwide had a fiscal framework with an explicit cap on public debt.

  3. The choice of an endogenous growth framework is also motivated by technical considerations. Studying the effects of growth in endogenous growth models is often simpler, as these models generally involve dynamic systems of smaller dimensions than those of exogenous growth models.

  4. Alesina and Perotti (1997) explain this evidence by “political realities” which suggest that cutting back investment spending is easier than raising taxes.

  5. Empirically, Carratù et al. (2019) also found non-linearities shaping the interaction between public debt and environmental quality, measured by air pollution. They investigate whether involvement in European Union treaties and the implementation of associated fiscal rules have shaped the relationship between debt and environmental performance. In our model, we establish a non-linear relationship between debt and environmental quality by examining an exogenous change in the debt target when the government is subject to a fiscal rule. In contrast, Carratù et al. (2019) study how exogenous changes in fiscal stance (i.e. the implementation of a fiscal rule) affect environmental quality.

  6. The Fullerton and Kim (2008)’s specification is \(P_t=(Z_t/G_t)^\mu \Leftrightarrow Z_t=P_t^{1/\mu } G_t\), where \(\mu\) is the elasticity of emissions to the energy input, i.e. a pollution-conversion parameter: a lower \(\mu\) makes emissions more effective, or—equivalently—makes abatement relatively less effective. In our model, to reduce the number of parameters, we consider \(\mu =1\). However, our results do not qualitatively change in the case of \(\mu \ne 1\).

  7. According to IMF (2018), as of 2015, at least 70 countries worldwide had a fiscal framework with an explicit cap on public debt, with debt ceilings frequently ranging between 60% and 70% of the GDP. For example, the European Union imposed a debt ceiling of 60% of its GDP, while the Central African Economic and Monetary Community and the West African Economic and Monetary Union both imposed caps of 70%.

  8. Alternatively, we could consider a constant abatement-spending-to-output ratio and an adjustment of the government’s budget constraint via the environmental-tax rate. This case would not alter our main result, namely the long-run non-linear relationship between the debt ratio and environmental quality.

  9. To ensure a positive long-run economic growth rate, we need to assume \(As>1\). To this end, we consider throughout the paper \(A>(1+\rho )/[\rho (1-\alpha -\beta )]\).

  10. From (18), we compute \(s=\frac{K_{t+1}}{Y_t}+\frac{B_{t+1}}{Y_t}=\gamma _{t+1}\frac{K_{t+1}}{Y_{t+1}}+\gamma _{t+1}\frac{B_{t+1}}{Y_{t+1}}=\gamma _{t+1}\frac{1}{A}+\gamma _{t+1}b_{t+1}\).

  11. We ensure \(\bar{\theta }>0\) since \(As>1\).

  12. We have \(\hat{\theta }>0\) as \(r<1<As\).

  13. If we relax this assumption, the long-run debt ratio (\(\theta\)) would be comprised between two bounds (say, \(\underline{\theta }< \theta < \overline{\theta }\)) and our results would not be qualitatively affected. To keep the model as simple as possible, we assume that \(\bar{E} \varepsilon \tau _p>1.\)

  14. It can be beneficial in an unstable steady state as in Fodha and Seegmuller (2014), but this is of little interest to policy discussions.

  15. Simulations are performed for \(\rho =0.99\), \(\alpha =0.2\), \(\beta =0.1\), \(\tau _p=0.03\), \(\phi =0.05\), \(\bar{E}=30\), \(\varepsilon =0.2\), \(\tilde{A}=0.95\). We numerically ensure that the behavior of our key variables remains unchanged when we slightly modify parameter values.

  16. Examining the similar adjustment paths of our key variables in response to a permanent environmental tax shock (as, e.g., an increase in \(\tau _p\)) would not provide meaningful insights. Indeed, the dynamics of the debt ratio \(b_t\) (see Eq. 23b) are independent of \(\tau _p\), so all variables would instantaneously jump to their new steady-state levels after an environmental-tax shock.

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Acknowledgement

We are extremely grateful to Phoebe Koundouri (editor) and the anonymous referee for their detailed comments. Matilda Baret is supported by the Institut Louis Bachelier CACL-LEO Research Initiative “Energy Transition and Transformation of Economic Models”, and the APP IA CriseReactGlobal Research Fellowship - 202100149486.

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Appendices

Appendix A. Steady State

Proof of Proposition 3. The long-run environmental quality is given by

$$\begin{aligned} E^{*}(\theta )= \bar{E} -\frac{\beta }{\varepsilon \tau _p g^*(\theta )} \end{aligned}$$
(A.1)

where

$$\begin{aligned}g^*(\theta )=\beta +\frac{As \theta }{1+ A\theta }-r\theta , \text { and }\gamma ^*(\theta )=\frac{As}{1+A\theta }.\end{aligned}$$

First: \(\gamma ^*(\theta )-1>0 \Leftrightarrow \theta < \bar{\theta }:=(As-1)/A\). \(\bar{\theta }\) is positive as we assume \(As>1\).

Second: \(E^*(\theta )>0 \Leftrightarrow g^*(\theta )-\frac{\beta }{ \bar{E} \varepsilon \tau _p}=:h(\theta )>0\), where

$$\begin{aligned} h(\theta ):=\beta + \frac{As \theta }{1+A\theta }- r\theta -\frac{\beta }{ \bar{E} \varepsilon \tau _p}. \end{aligned}$$

Let us suppose that \(\bar{E} \varepsilon \tau _p>1\). Then h is a continuous mapping on \(\mathbb {R}^+\), with the following properties: \(h(0)=\beta -\beta /\bar{E} \varepsilon \tau _p >0\), \(h(+\infty )=-\infty\), and

$$\begin{aligned} h'(\theta )=\frac{As}{(1+A\theta )^2}-r \ge 0 \Leftrightarrow \ \theta \le \hat{\theta }=:\frac{1}{A}\left[ \sqrt{\frac{As}{r}}-1\right] . \end{aligned}$$

The threshold \(\hat{\theta }\)—which is positive as \(As>1>r\)—is the level of the long-run debt target that maximizes the abatement-spending ratio. Hence, h describes an inverted U-shaped curve with a maximum at \(\theta =\hat{\theta }\), as described in Fig. 1.

Additionally, we have \(h(\bar{\theta })=\beta + (s-1)- r(s-1)-\frac{A\beta }{ \bar{E} \varepsilon \tau _p}=\beta +\frac{(As-1)(1-r)}{A} -\frac{\beta }{ \bar{E} \varepsilon \tau _p}>\beta -\frac{\beta }{ \bar{E} \varepsilon \tau _p}>0\). Hence, if \(\beta >\beta /\bar{E} \varepsilon \tau _p\), then \(h(\theta )>0\), for any \(\theta \in (0,\bar{\theta })\).

Consequently, if \(\theta <\bar{\theta }\) (i.e., \(\gamma ^*-1>0\), debt sustainability), the environmental sustainability (i.e., \(E^*(\theta )>0\)) is ensured. \(\square\)

Proof of Proposition 4. We first prove the uniqueness of the steady state then we focus on the local stability.

Uniqueness. From Eq. (23.b), it is clear that the law of motion of \(b_t\) does not depend on \(E_t\); such that \(b_t\) monotonically converges to its target \(b^*=\theta\) since \(\phi \in (0,1)\). This explains the vertical line in the diagram phase (see Fig. 5). Let \(b_{t+1}=b_t=b\) and \(E_{t+1}=E_t=E\) in system (23). From Eq. (23.a), the stationary locus of the environmental quality is depicted by the following link between E and b

$$\begin{aligned} E=E(b)=\bar{E}-\frac{\beta }{\varepsilon \tau _p}\left( \frac{1}{\frac{As b}{1+Ab}-rb+\beta }\right) . \end{aligned}$$

Let us suppose that \(\theta< \bar{\theta }\Leftrightarrow b<\bar{b}\), namely \(E(b)>0\), as stated in the proof of Proposition 3. It is clear that E(b) is a continuous mapping on \([0,\bar{b}\)].

First, we have

$$\begin{aligned}E(0)=\bar{E}-\frac{1}{\varepsilon \tau _p }>0,\text { and }E(\bar{b})=\bar{E} -\frac{\beta }{\varepsilon \tau _p[ (As-1)(1-r)/A+\beta ] }>0,\end{aligned}$$

as we assume \(\bar{E} \varepsilon \tau _p>1\), and \(As>1>r\).

Second, we compute

$$\begin{aligned} E'(b) \ge 0 \Leftrightarrow b \le \hat{b}:=\frac{1}{A}\left[ \sqrt{\frac{As}{r}}-1\right] . \end{aligned}$$

Hence, the stationary locus of the environmental quality depicts an inverted U-shaped curve on the phase portrait (bE), with a maximum at \(b=\hat{b}\), as depicted in Fig. 5. Consequently, for \(b^* \in [0,\bar{b}]\), there is a unique crossing point between \(b^*\) and E(b) that defines the unique steady state of the model \((b^*,E^*)\).

Fig. 5
figure 5

Diagram phase

Local stability. From system (23), the Jacobian matrix evaluated at the steady state (\(b^*,E^{*})\) is

$$\begin{aligned} \textbf{J} = \begin{bmatrix} 1-\varepsilon &{}K \\ 0 &{} 1-\phi \end{bmatrix}, \end{aligned}$$

where K is a (finite) scalar. Then, the determinant and trace are \(\det (\textbf{J})=(1-\varepsilon )(1-\phi ),\) and \(\text {tr}(\textbf{J})=2-\phi -\varepsilon\). For the steady state to be well determined, we must ensure that \(\det (\textbf{J})<1\) and \(\text {tr}(\textbf{J})<2\). As \(\varepsilon <1\) and \(\phi <1\), it follows the steady state is well determined. \(\square\)

Appendix B. Comparative Statics

Proof of Proposition 6. At steady state, the environmental quality is given Eq. (A.1), namely

$$\begin{aligned} E^{*}(\theta )= \bar{E} -\frac{\beta }{\varepsilon \tau _p \left[ h(\theta )+\frac{\beta }{\bar{E} \varepsilon \tau _p}\right] }. \end{aligned}$$

As proved in “Appendix A”, \(h(\theta )\) describes an inverted U-shaped curve on \(\theta \in [0,\bar{\theta }]\). Hence, \(E(\theta )\) also describes an inverted U-shaped curve on \(\theta \in [0,\bar{\theta }]\), with a threshold at \(\theta =\hat{\theta }\). \(\square\)

Proof of Proposition 7. From Eq. (25), we define \(E^*=E^{*}(\theta ,\tau _p)\), where

$$\begin{aligned} E^{*}(\theta ,\tau _p)= \bar{E} -\frac{\beta }{\varepsilon \tau _p g^*(\theta ,\tau _p)}, \end{aligned}$$
(B.1)

with, using \(r=\alpha A(\tau _p)\),

$$\begin{aligned}g^*(\theta ,\tau _p)=\beta +\frac{A(\tau _p)s \theta }{1+ A(\tau _p)\theta }-\alpha A(\tau _p)\theta . \end{aligned}$$

We compute

$$\begin{aligned} \frac{\partial g^*(\theta ,\tau _p)}{\partial \tau _p}=A'(\tau _p)\theta \left[ \frac{s}{(1+A(\tau _p)\theta )^2}-\alpha \right] . \end{aligned}$$

The bracketed-term is negative if and only if

$$\begin{aligned}\theta \ge \ \frac{1}{A}\left[ \sqrt{\frac{s}{\alpha }}-1\right] =\frac{1}{A}\left[ \sqrt{\frac{As}{r}}-1\right] =\hat{\theta }. \end{aligned}$$

Consequently, as \(A'(\tau _p) \le 0\), it follows that \(\partial g^*(\theta ,\tau _p)/\partial \tau _p \ge 0 \Leftrightarrow \theta \ge \hat{\theta }\). As shown in “Appendix A”, this condition (\(\theta \ge \hat{\theta }\)) is precisely equivalent to \(\partial g^*(\theta ,\tau _p)/\partial \theta \le 0\). In other words, while increasing public debt is detrimental to abatement spending, increasing taxes is not, and vice versa. Finally, from (B.1), if \(\theta \ge \hat{\theta }\), we derive \(\partial E^{*}(\theta ,\tau _p)/\partial \tau _p \ge 0\).

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Baret, M., Menuet, M. Fiscal and Environmental Sustainability: Is Public Debt Environmentally Friendly?. Environ Resource Econ (2024). https://doi.org/10.1007/s10640-024-00847-0

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