On cleaner technologies in a transboundary pollution game

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On cleaner technologies in a transboundary pollution game Hassan Benchekroun a Amrita Ray Chaudhuri b January 2009 a Department of Economics, McGill University, 855 Sherbrooke Ouest, Montreal, QC, Canada, H3A-2T7. Tel.: (514) 398-2776, Fax: (514) 398-4938, E-mail: hassan.benchekroun@mcgill.ca b Corresponding Author: Department of Economics, CentER, TILEC, Tilburg University, Warandelaan 2, P.O. Box 90153, 5000 LE Tilburg, The Netherlands. Tel: (013) 466-3196, Fax: (013) 466-3042, E-mail: a.raychaudhuri@uvt.nl 1

Abstract: We show that in a non-cooperative transboundary pollution game, a cleaner technology (i.e., a decrease in the emission to output ratio) induces each country to increase its emissions and ultimately can yield a higher level of pollution and reduce social welfare. JEL classi cations: Q55 Keywords: transboundary pollution, technological innovation, di erential game 1 Introduction We analyze a scenario à la Dockner and Long (1993), where two identical countries emit pollutants which accumulate into a stock of pollution over time. Both countries su er a damage to social welfare from this transboundary stock of pollution. We consider the case where countries set their emissions policies non-cooperatively, and show that the impact of implementing a cleaner technology in the production process on social welfare is ambiguous. Consider two technologies, one "clean" and one "dirty", and consider the non-cooperative emission strategies under a "dirty" technology that we refer to as the "dirty" equilibrium. Now suppose a cleaner technology is implemented. Clearly the non-cooperative equilibrium strategies under the "dirty" technology are still feasible. However, is this pro le of emission strategies still a Nash equilibrium? The answer is no. The adoption of a "clean" technology reduces each country s damage from pollution along the "dirty" equilibrium and, therefore, gives an incentive to each country to produce more than it would under the "dirty" technology. The negative environmental impact of the increase in production 2

of both countries can outweigh the positive environmental impact of adopting a "clean" technology. The bene t of the extra consumption from the adoption of the "clean" technology can be outweighed by the loss in welfare due to the increase in pollution. The positive shock of implementing a cleaner technology results in a more "aggressive" and "sel sh" behavior of countries that exacerbates the e ciency loss due to the presence of the pollution externality. This phenomenon is similar to the "voracity e ect" highlighted, in a di erent context, in Tornell and Lane (1999), Tornell and Velasco (1992) and Long and Sorger (2006). These papers consider a model of economic growth where multiple powerful interest groups within the economy have open access, via a process of scal redistribution, to a common capital stock. They consider a two sector economy with a formal sector where the return on capital is taxable and an informal sector which is nontaxable but yields a lower return. It is shown that if there do not exist institutional barriers to discretionary redistribution, an increase in the raw rate of return of capital reduces growth. This is because the increase in the rate of return of capital in the formal sector induces the "voracity e ect" by which each interest group attempts to grab a greater share of national wealth by demanding more transfers. This e ect is shown to dominate any direct e ect of the positive shock resulting in a negative relationship between the rate of return of capital and growth. We present the transboundary pollution game model in section 2 and derive a Markovperfect Nash equilibrium in section 3. In section 4, we determine the impact of the adoption of a cleaner technology. Section 5 presents the concluding remarks. 3

2 The Model Consider two countries indexed by i = 1; 2: Each country produces a single consumption good, Q i ; with a given xed endowment of factors of production and a given technology. The production of a unit of the consumption good results in the emission of E i units of pollution where E i = Q i : (1) The parameter represents the ratio of emissions to output. The development of "cleaner" technologies is re ected by a fall in ; that is, less emissions generated per unit of output. The amount of pollution accumulates into a stock, P (t) ; over time, according to the following transition equation _ P (t) = E 1 (t) + E 2 (t) kp (t) ; k > 0; (2) with the initial stock P (0) = P 0 (3) In (2) ; k represents the rate of natural puri cation, that is, the rate at which the stock of pollution naturally decays. For notational convenience, the argument of time, t; is in general omitted throughout the paper although it is understood that all variables may be time dependent. The instantaneous bene t in country i from consuming a quantity Q i of the consumption good is given by U i (Q i ) = AQ i 1 2 Q2 i ; A > 0 with i = 1; 2 4

and the instantaneous welfare loss in terms of pollution damage is given by C i (P ) = s 2 P 2 ; s > 0 with i = 1; 2. The instantaneous net bene ts of country i are thus given by B i (Q i ; P ) = U i (Q i ) C i (P ) (4) Using (1), it follows that the objective of country i s government is to choose a pollution control strategy E i (t) (or equivalently an output strategy) that maximizes the discounted stream of net bene ts from consumption: max E i Z 1 0 e rt Ei (t) U i C i (P (t)) dt (5) subject to the accumulation equation (2) and the initial condition (3). The discount rate, r; is assumed to be constant and identical for both countries. We give below a subgame perfect Nash equilibrium of this two-player di erential game. 3 The Markov perfect equilibrium Firms use Markovian strategies where they condition the level of emissions at a given moment, t; on t and on the current-state variable, P (t) ; that summarizes the latest available information of the dynamic system. The pair ( 1 ; 2 ) is a Markov Perfect Nash equilibrium, MPNE, if for each i 2 f1; 2g, given that E j (t) = j (P (t) ; t) with j 2 f1; 2g ; j 6= i, an optimal control path, E i (:) ; of the problem (5) exists and is given by the Markovian strategy i : E i (t) = i (P (t) ; t). It is well known that such a game admits a unique linear equilibrium and a continuum of equilibria with non-linear strategies (see Dockner and Long (1993) and Rubio and 5

Casino (2002)). The linear equilibrium is globally de ned and, therefore, quali es as a Markov perfect equilibrium. The non-linear equilibria are typically locally de ned, i.e. over a subset of the state space. We focus in this analysis on the linear strategies equilibrium. Since our contribution is to highlight an a priori unexpected outcome from the adoption of a "cleaner" technology we wish to make sure that our result is not driven by the fact that countries are using highly "sophisticated" strategies. Proposition 1: The pair i (P ) = A + 2 ( P ), i = 1; 2 (6) constitutes a Markov perfect linear equilibrium and discounted net welfare is given by W i (P ) = 1 2 P 2 P, i = 1; 2 (7) where q = 2k r + (2k + r) 2 + 12s 2 6 2 2A = k + r + 3 2 (A 3) (A ) = 2r The steady state level of pollution 2A k 2 + 3s 2 r 2 + (k + r) q(2k + r) 2 + 12s 2 P SS () = k (k + r) + 3s 2 > 0 (8) k r + q(2k + r) 2 + 12s 2 is globally asymptotically stable. Proof: We use the undetermined coe cient technique (see Dockner et al (2000) Chapter 4) to derive the linear Markov perfect equilibrium. The details are omitted. (See Proposition 1 of Dockner and Long (1993) for the case where = 1) 6

We note that E i > 0 (and therefore, Q i > 0) i P < P () 1 (A ) : It is straightforward to show that P () > P SS () for all : 4 Impact of cleaner technology The development of a cleaner technology is captured by a decrease in the emissions to output ratio,. We show that implementing a cleaner technology may end up reducing social welfare, (7) ; in each country: W i (P ) may be an increasing function of. Henceforth, for notational convenience, we explicitly write welfare as a function of as well as P : W i (P; ). We note that W i (P; ) is homogenous of degree zero in (r; k) for all P: Therefore, we can normalize one of these parameters without loss of generality: we set k = 1: For simplicity, unless otherwise mentioned, we set A = 100 and r = 1. It can be shown that our main conclusions remain robust to changes in the values of A and r: The steady state equilibrium pollution stock is then given by 200 3s 2 + 2 p 9 + 12s 2 P SS () = F () 2 + 3s 2 p : (9) 9 + 12s 2 Proposition 2: There exists ' 1:26 p s such that for all > we have @P SS @ < 0 A decrease in the emissions to output ratio results in a larger stock of pollution at the steady state. Proof: See Appendix A. Following the adoption of a cleaner technology each country increases its production and the resulting increase in emissions outweighs the positive shock of a decrease in the 7

emissions to output ratio. The impact of a decrease of on social welfare W i (P; ) depends on the level of pollution P at the moment the change in occurs. To economize on space we shall focus on one particular value of P which is P SS. 1 More precisely, suppose that the emissions to output ratio drops from 0 to < 0 then from (9), we obtain P SS ( 0 ) and P SS () ; that is, the steady state pollution stocks when the emissions to output ratio are given by 0 and respectively. We shall compare W i (P SS ( 0 ) ; 0 ) to W i (P SS ( 0 ) ; ). Note that our analysis, is, thus, not a simple analysis of steady states levels of welfare, we take into account the impact on welfare during the transition from P SS ( 0 ) to the new steady state pollution stock P SS (). Given the cumbersome expression of W i (P SS ( 0 ) ; ) ; we illustrate our main nding with the analysis of a marginal reduction in, i.e. in the neighborhood of 0. We provide in Figure 1 the plot of @W i(p SS ( 0 );) @ as a function of 0. From Figure 1, we can state =0 that there exists 0 ' 3:14 such that @W i(p SS ( 0 );) > 0 for all > @ 0 : that is, a =0 decrease in ; the emissions to output ratio, reduces social welfare. 1 We have also considered an initial pollution stock of zero. This does not add any new insights. 8

Figure 1: The effect of a marginal change in S on welfare /W i (P SS (S 0 ),S) /S S=S 0 50 0 0 50 3 4 5 S 0 100 150 We also consider a non-marginal reduction in : we set 0 = 5 and plot, in Figure 2, W i (P SS (5) ; ). Figure 2 shows that the value of should decrease to levels smaller than 2:7 (a decrease by more than 46%) before the reduction in the emissions to output ratio results in an increase in welfare. 2 Figure 2: The effect of non marginal changes inson welfare W i (P SS (S 0 =5),S) 2400 2450 2500 2550 3 4 5 6 S 2 We note that maxfp SS (5),P SS (2:7)g < minf P =5 ; P =2:7 g. 9

In Figures 1 and 2, we set s = 1: It can be shown that our main conclusions remain qualitatively robust to changes in s: The non-cooperative equilibrium strategies under the "dirty" technology are feasible under the "clean" technology. However, this pro le of emission strategies is not a Nash equilibrium. The adoption of a "clean" technology reduces each country s damage from pollution along the "dirty" equilibrium, thereby giving each country an incentive to produce more than it would produce under the "dirty" technology. The negative environmental impact of the increase in the production of both countries can outweigh the positive environmental impact of adopting a "clean" technology. The positive shock of a cleaner technology results in a more "aggressive" and "sel sh" behavior of countries that exacerbates the e ciency loss due to the presence of the pollution externality. This phenomenon is similar to the "voracity e ect" highlighted in Tornell and Lane (1999), Tornell and Velasco (1992) and Long and Sorger (2006). 5 Concluding remarks An alternative that has been proposed to the Kyoto agreement (which is currently riddled with free-riding issues) is a set of treaties: one promoting cooperative R&D and the other encouraging the collective adoption of new cleaner technologies arising from this R&D. For example, Barrett (2006) sets up a model in which if all countries adopt the "breakthrough" technology, this leads to a discrete drop in emissions, leaving the countries collectively better o. In this paper, we developed a model where the adoption of a cleaner technology may leave all countries worse o. We analyzed a scenario where two identical countries emit pollutants which accumu- 10

late into a stock of pollution over time. Both countries su er a damage to social welfare from this stock of pollution. Within this context, we showed that the implementation of a cleaner technology in the production process can have an ambiguous e ect on welfare if the countries behave non-cooperatively. If the countries were to cooperatively set their individual emission levels to maximize joint welfare, then welfare would unambiguously increase in response to the implementation of cleaner technologies. However, in the noncooperative equilibrium, each country s response to the cleaner technology is to increase its own output without internalizing the negative impact of the resultant increase in the stock of pollution on the other country s welfare. We identi ed the range of emission to output ratio for which this causes welfare in each country to fall as cleaner technologies are implemented. There seems to be a general consensus amongst governments, international organizations and academics that a signi cant e ort in the creation of clean technologies is needed. The main implication of our nding, however, is that the need for international cooperation to overcome the ine ciency due to the presence of transboundary negative externalities does not necessarily diminish with the development of cleaner technologies. Appendix A: Proof of Proposition 2. We have @F () @ = 200 4 6s 2 4s 2 + 3 3 2 + 18 p 3s 2 + 25 p 3s 2 4 3s 2 + 2 2 4s 2 + 3 3 2 (10) Let X 4s 2 + 3 (11) Note that s 2 = X 3 and for all s > 0 and > 0 we have X > 3. Also, let 4 Z (X) 4 6 X 3 p X 3 X 3 2 + 18 3 + 25 p 2 X 3 3 (12) 4 4 4 11

Together, (10) ; (11) and (12) imply that @F () @ = 2Z (X) 3s 2 + 2 2 4s 2 + 3 3 2 (13) with and We have @Z (X) @X = 5 102 8 5 X 1 2 6X 3 2 @ 2 Z (X) @X 2 = 5 8X 1 2 @ 3 Z (X) = @X 3 39p p 3 + 5X 3 5 p 5X 1 51 2 3 9X + 5 (14) (15) 3 17X 1 3 16X 2 2 + 15X 2 < 0: (16) From (16) ; we have that @2 Z(X) @X 2 < @2 Z(X) @X 2 j X=3 = 0:649 52 < 0 for all X > 3: Thus Z (X) is continuously di erentiable and strictly concave in X for all X > 3 with Z (3) = 20: 79 > 0 and lim X!1 Z (X) = 1: Therefore, Z (X) has one and only one root over X 2 [3; 1), given by X ' 9:3 8; and we have > ' 1:26 p s. @F () @ < 0 for all s 2 > X 3 4 ' 1: 59 or References Barrett, S., "Climate treaties and breakthrough technologies," 2006, The American Economic Review, 96 (2), 22-25. Dockner, E.J., S. Jorgensen, N.V. Long and G. Sorger, Di erential games in economics and management science, Cambridge University Press, UK, 2000. Dockner, E.J. and N.V. Long, "International pollution control: Cooperative versus noncooperative strategies," 1993, Journal of Environmental Economics and Management, 24, 13-29. 12

Long, N.V. and G. Sorger, "Insecure property rights and growth: the role of appropriation costs, wealth e ects, and heterogeneity," 2006, Economic Theory, 28, 513-29. Rubio, S. J. & B. Casino, "A note on cooperative versus non-cooperative strategies in international pollution control," 2002, Resource and Energy Economics, 24 (3), 251-261. Tornell, A. and P.R. Lane, "The Voracity E ect," 1999, The American Economic Review, 89 (1), 22-46. Tornell, A. and A. Velasco, "The tragedy of the commons and economic growth: Why does capital ow from poor to rich countries?" 1992, Journal of Political Economy, 100 (6), 1208-31. 13