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Green products, market structure, and welfare

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Abstract

This paper examines the welfare consequences of private provision of green goods in output markets with product differentiation. In our setting, consumers can be prone to engage in the consumption of green goods (e.g., from eco-labels or due to some forms of altruism), and firm entry is endogenous. Our analysis shows that firms underinvest in environmentally cleaner products in situations where the social damage from polluting emissions is sufficiently large. However, beyond those situations, we find that firms can underinvest or overinvest depending on effects mediated through firm entry because entry raises output and thus increases consumer participation in the market, but it also reduces private incentives to provide consumers with cleaner products.

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Notes

  1. This is in line with previous work (e.g., Garcia-Gallego and Georgantzis 2009), although we find a non-monotonic pattern from free entry that differentiates our results.

  2. Katsoulacos and Xepapadeas (1995) consider a homogeneous-product Cournot oligopoly. Simpson (1995) extends their findings to an asymmetric duopoly, whereas Yin (2003) deals with an inter-firm pollution externality. Lahiri and Ono (2007) show that free entry can also affect the comparison of policy instruments such as a relative emission standard and emission taxes. An analysis with product differentiation can be found in Katsoulacos and Xepapadeas (1996) in the absence of firm entry, and in Petrakis et al. (1999) in its presence. See Fujiwara (2009) for a more recent model of differentiated-product oligopoly with free entry. In a related vein, see also Breton and Sbragia (2020) for an interesting analysis of a differentiated Cournot oligopoly with two product varieties supplied by two asymmetric groups of firms with access to different technologies. In our analysis, each firm can choose the environmental content of its product by means of green investments based on technologies available to all the firms, and the number of product varieties is endogenous under monopolistic competition.

  3. Economic applications of the spokes model include Caminal (2010), Caminal and Granero (2012), Germano and Meier (2013), Granero (2013), Reggiani (2014), and Chen and Hua (2017). See Reggiani (2020) for an overview. Product quality is considered in Granero (2019) for a fixed number of firms (duopoly), whereas endogenous firm entry is a central item in our analysis.

  4. A key difference between the spokes model and other spatial models of imperfect competition, including the linear-city (Hotelling) model and the circle (Salop) model, is that competition is non-localized in the spokes model. This aspect leads to new results in the original spokes model that are related to firm entry (e.g., results on pricing), and it also allows for Chamberlinian monopolistic competition without losing the spatial foundation for product differentiation. Older settings (e.g., Dixit and Stiglitz 1977) used to account for monopolistic competition without the advantages of spatial product differentiation (Sutton 1991, 1998).

  5. Among others, see Bansal and Gangopadhyay (2003), and Clemenz (2010). End-of-pipe technologies are characterized by the fact that they leave the production process itself unchanged, but a fraction of the pollutant is reduced or offset. A Google search for “end-of-pipe technology” returned 270 million results in September 2020. Well-known examples include catalytic convertors on automobile tailpipes, scrubbers to control SO\(_{2}\) emissions, membrane technologies used for wastewater treatment, and air cleaning devices.

  6. Because lower levels of emissions lead to higher levels of environmental product quality, our framework can accommodate main effects from eco-labels in the presence of green consumers (e.g., see Clemenz (2010), and Espínola-Arredondo and Zhao, 2012). In parallel, the impact of lower emission levels on consumers’ utility in our framework is similar to the role of certification of corporate social responsibility in Garcia-Gallego and Georgantzis (2009), and Manasakis et al. (2013). In that context, \(\theta\) can be indicative of the consumer’s degree of altruism.

  7. A Google search for the keywords “end-of-pipe technology” returned 270 million results, and “end-of-pipe treatment” returned 98 million results in September 2020. Examples include catalytic convertors on automobile tailpipes, scrubbers to control SO\(_{2}\) emissions, membrane technologies used for wastewater treatment, and air cleaning devices that separate air pollutants and GHGs from the post-combustion gases. Among others, see Fatta-Kassinos et al. (2016) for membrane technologies, which are the most powerful technologies for removing key microcontaminants; Tan (2014) for an introduction to end-of-pipe treatments for air emissions; and Hlavinek et al. (2010), Kumar et al. (2017), and Singh and Singh (2019) for end-of-pipe wastewater treatment and biotechnologies.

  8. With \(e_{i}\) as a continuous variable, the setting is able to capture the host of real-world technological combinations available from waste capture, separation and storage, and from combinations of materials in end-of-pipe technologies (e.g., see Clemenz 2010; Olajire 2010; Favre 2011, and Wang et al. 2011).

  9. In maximizing total surplus, it does not matter whether \(\gamma\) and e are decided sequentially or simultaneously. Second-order conditions for an interior solution hold under the maintained hypothesis (see Granero 2019).

  10. Provided \(p_{i}\in [\theta (e-e_{i})+p-1,\theta (e-e_{i})+p+1]\), so that \(0\le x\le 1\).

  11. See Appendix, proof of Proposition 3, for details on second-order conditions.

  12. For example, with a quadratic green cost \(\beta (e_{i})=(e_{0}-e_{i})^{2}/2\) for \(e_{i}\in [0,e_{0})\) with \(e_{0}\ge \theta\), it follows that \(\widehat{\gamma }=\{v-\theta (e_{0}-\theta )-c-[\left( v-\theta (e_{0}-\theta )-c\right) ^{2}-4\theta ^{2}]^{1/2}\}/\theta ^{2}\).

  13. On the right-hand side of equation (14), notice that the function \(\Psi (\gamma )\equiv 1+\frac{(2-\gamma )^{2}}{2\gamma (1-\gamma )}\) reaches a minimum at \(\gamma =\frac{2}{3}\), where \(\Psi \left( \frac{2}{3}\right) =5\), and \(e^{*}\) increases with \(\gamma\).

  14. Graphical representations that illustrate Proposition 5 contribute to gain intuition but must necessarily consider concrete functional forms of the cost from abatement efforts, although the result holds more generally for our assumptions about \(\beta (\ \cdot \ )\) (see proof in the Appendix). Then, for the exclusive purpose of graphical representations that illustrate the result, we draw a concrete example given by \(\beta (e)=(e_{0}-e)^{2}/2\) for \(e\in [0,e_{0})\) with \(e_{0}\ge \theta _{w}\). This graphical example also helps compare our results with previous contributions that focus on quadratic costs (e.g., Garcia-Gallego and Georgantzis 2009).

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Correspondence to Lluís M. Granero.

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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

We thank Giacomo Corneo (the editor) and two referees as well as Francisco J. André, Rob Hart, Félix Muñoz-García, seminar participants at the XXI Applied Economics Meeting in Alcalá de Henares, the 6th WCERE Congress in Göteborg, the 5th Annual FAERE Conference in Aix-en-Provence, and the VIII AERNA Conference in Madrid for useful comments, and especially Ana Espínola-Arredondo and Santiago J. Rubio for insightful suggestions that materially improved the paper. We acknowledge financial support from MINCIU and FEDER (grants ECO2014-53419-R and RTI2018-095256-B-I00).

Appendix

Appendix

1.1 Welfare benchmark

Here, we derive the welfare benchmark in our analysis. The welfare function is written as \(W=CS+\Pi -D\), where CS denotes consumer surplus, \(\Pi\) industry profits, and D the aggregate damage due to the environmental externality from emissions.

At a first-best configuration,

$$\begin{aligned} CS&= \gamma ^{2}\left( \int \limits _{0}^{1/2}\left( v-\theta e-x-p\right) dx+\int \limits _{1/2}^{1}\left( v-\theta e-(1-x)-p\right) dx\right) \\&\quad +2\gamma (1-\gamma )\int \limits _{0}^{1}\left( v-\theta e-x-p\right) dx \\&= \gamma ^{2}\left( v-\theta e-\frac{1}{4}-p\right) +2\gamma (1-\gamma )\left( v-\theta e-\frac{1}{2}-p\right) ,\\ \Pi&= 2\gamma \left( \frac{2-\gamma }{2}(p-c)-f-\beta (e)\right) =(2-\gamma )\gamma (p-c)-2\gamma (f+\beta (e)),\\ D&= \lambda E=\lambda (\gamma ^{2}+2\gamma (1-\gamma ))e=\lambda (2-\gamma )\gamma e, \end{aligned}$$

from where

$$\begin{aligned} W=\gamma ^{2}\left( v-\theta _{w}e-\frac{1}{4}-c\right) +2\gamma (1-\gamma )\left( v-\theta _{w}e-\frac{1}{2}-c\right) -2\gamma (f+\beta (e)), \end{aligned}$$

with \(\theta _{w}\equiv \theta +\lambda\), which gives W as in equation (1).

1.2 Proofs of the results

Proofs of Propositions 1 and 2

See Granero (2019). \(\square\)

Proof of Proposition 3

From equations (8)–(9),

$$\begin{aligned}&\frac{\partial ^{2}\pi _{i}}{\partial p_{i}^{2}}=-\gamma<0,\ \ \ \frac{ \partial ^{2}\pi _{i}}{\partial e_{i}^{2}}=-\beta ^{\prime \prime }(e_{i})<0,\\&\frac{\partial ^{2}\pi _{i}}{\partial p_{i}^{2}}\frac{\partial ^{2}\pi _{i}}{ \partial e_{i}^{2}}-\left( \frac{\partial ^{2}\pi _{i}}{\partial p_{i}\partial e_{i}}\right) ^{2}=\gamma \left\{ \beta ^{\prime \prime }(e_{i})-\left( \frac{\theta }{2}\right) ^{2}\gamma \right\} , \end{aligned}$$

where

$$\begin{aligned} \frac{\partial ^{2}\pi _{i}}{\partial p_{i}\partial e_{i}}=\frac{\partial ^{2}\pi _{i}}{\partial e_{i}\partial p_{i}}=-\frac{\gamma \theta }{2}. \end{aligned}$$

Hence, \((\partial ^{2}\pi _{i}/\partial p_{i}^{2})(\partial ^{2}\pi _{i}/\partial e_{i}^{2})-\left( \partial ^{2}\pi _{i}/\partial p_{i}\partial e_{i}\right) ^{2}>0\) iff \(\beta ^{\prime \prime }(e_{i})>\gamma \theta ^{2}/4\), which is implied by \(\beta ^{\prime \prime }(e_{i})>\theta _{w}^{2}/4\) given that \(\gamma \le 1\) and \(\theta \le \theta _{w}\). Then, expressions (10) and (11) yield the profit-maximizing solution \((p_{i},e_{i})\), and thus at a symmetric equilibrium \((p_{i},e_{i})=(p^{*},e^{*})\) as given by equations (12) and (13) for \(f\in [\underline{f},\widehat{f}]\), i.e., \(\gamma \ge \widehat{\gamma }\), provided condition (14) holds. In those circumstances, free entry yields \(\gamma ^{*}\) as the solution to the zero profit condition (15). For any \(\gamma \ge \widehat{\gamma }\) that condition is equivalent to

$$\begin{aligned} g(\gamma )\equiv \gamma \pi ^{*}(\gamma )=\frac{(2-\gamma )^{2}}{2} -\gamma \beta (e^{*}(\gamma ))-\gamma f=0, \end{aligned}$$

where \(e^{*}(\gamma )\) follows from \(-\beta ^{\prime }(e^{*})=\theta (2-\gamma )/2\). We have that \(g(\gamma )\) is a continuous function, \(g^{\prime }(\gamma )<0\) when \(\pi ^{*}(\gamma )\ge 0\), \(g(\widehat{ \gamma })>0\) for \(f<\widehat{f}\), and \(g(1)\le 0\). Hence, there exists one solution to \(g(\gamma )=0\) given by \(\gamma ^{*}\in (\widehat{\gamma } ,1)\). If \(f=\widehat{f}\) then \(\gamma ^{*}=\widehat{\gamma }\) as given by

$$\begin{aligned} \frac{(v-\theta e^{*}(\widehat{\gamma })-1-c)^{2}}{v-\theta e^{*}( \widehat{\gamma })-c}-\beta (e^{*}(\widehat{\gamma }))=\widehat{f}, \end{aligned}$$

with \(e^{*}(\widehat{\gamma })\) such that \(-\beta ^{\prime }(e^{*})=\theta (2-\widehat{\gamma })/2\); and if \(f\le \underline{f}\) then \(\gamma ^{*}=1\).

Now, consider \(f>\widehat{f}\), i.e., \(\gamma <\widehat{\gamma }\). Here, we need to check that the only symmetric equilibrium involves \(p^{*}=v-\theta e^{*}-1\) and \(-\beta ^{\prime }(e^{*})=\theta (2-\gamma )/2\). A representative firm i chooses \((p_{i},e_{i})\) to maximize

$$\begin{aligned} \pi _{i}=\left[ \gamma \left( \frac{1}{2}+\frac{\theta (e-e_{i})+p-p_{i}}{2} \right) +(1-\gamma )(v-\theta e_{i}-p_{i})\right] (p_{i}-c)-\beta (e_{i})-f, \end{aligned}$$

subject to \(p_{i}+\theta e_{i}\ge v-1\). The first-order conditions for an interior solution can be written as

$$\begin{aligned}&\gamma \left( 1+\theta (e-e_{i})+p-2p_{i}+c\right) +2(1-\gamma )(v-\theta e_{i}-2p_{i}+c)=0,\\&\qquad-\frac{\theta }{2}(2-\gamma )(p_{i}-c)-\beta ^{\prime }(e_{i})=0. \end{aligned}$$

If a symmetric equilibrium exists, then the price is given by

$$\begin{aligned} p(\gamma )=\frac{2(1-\gamma )(v-\theta e(\gamma )+c)+\gamma (1+c)}{4-3\gamma }, \end{aligned}$$

where \(e(\gamma )\) is such that

$$\begin{aligned} -\beta ^{\prime }(e)=\frac{\theta }{2}\frac{2-\gamma }{4-3\gamma } (2(1-\gamma )(v-\theta e-c)+\gamma ). \end{aligned}$$

It turns out that \(p(0)+\theta e(0)=\frac{1}{2}(v+\theta e(0)+c)<v-1\), and \(p^{\prime }(\gamma )<0\). Thus, a contradiction follows. If other firms set \(p+\theta e=v-1\) then according to firm i’s first-order conditions its best response is such that \(p_{i}+\theta e_{i}=\frac{1}{2}(v+\theta e_{i}+c)<v-1\). Therefore, the only symmetric equilibrium involves \(p+\theta e=v-1\), from where \(p^{*}=v-\theta e^{*}-1\) and \(-\beta ^{\prime }(e^{*})=\theta (2-\gamma )/2\). Then, free entry determines \(\gamma ^{*}\) as the solution to the zero profit condition (19) if \(f\in [\widehat{f}, \overline{f}]\), and \(\gamma ^{*}=0\) if \(f\ge \overline{f}\). This shows the result.

Proof of Proposition 4

Consider first \(f\in (\underline{f}, \widehat{f})\). Then, \(\gamma ^{*}\) is given by the solution to the zero profit condition (15). That condition is equivalent to

$$\begin{aligned} g(\gamma )\equiv \gamma \pi ^{*}(\gamma )=\frac{(2-\gamma )^{2}}{2} -\gamma \beta (e^{*}(\gamma ))-\gamma f=0, \end{aligned}$$

where \(e^{*}(\gamma )\) follows from \(\beta ^{\prime }(e^{*})=-\theta (2-\gamma )/2\). Hence, \(\gamma ^{*}\) is given by the only solution to \(g(\gamma )=0\) such that \(\gamma ^{*}\in (\widehat{\gamma } ,1)\), and implicit differentiation gives rise to

$$\begin{aligned} \frac{d\gamma ^{*}}{df}=-\frac{\gamma ^{*}}{(2-\gamma ^{*})\left( 1-\frac{\theta ^{2}}{4\beta ^{\prime \prime }(e^{*})}\gamma ^{*}\right) +\beta (e^{*})+f}<0. \end{aligned}$$

Next, consider that \(f\in (\widehat{f},\overline{f})\). Then, \(\gamma ^{*}\) is given by the solution to the zero profit condition (19), and implicit differentiation yields

$$\begin{aligned} \frac{d\gamma ^{*}}{df}=-\frac{2}{v-\theta e^{*}-1-c}<0, \end{aligned}$$

and if \(f\ge \overline{f}\) then \(\gamma ^{*}=0\). Thus, \(\gamma ^{*}\) is weakly decreasing in f, and it is strictly decreasing in f for \(f\in ( \underline{f},\overline{f})\). Since \(e^{*}\) is strictly increasing in \(\gamma\) for \(f\in (\underline{f},\overline{f})\), this implies that \(e^{*}\) is weakly decreasing in f, and it is strictly decreasing in f for \(f\in (\underline{f},\overline{f})\). Finally, because \(\gamma ^{*}\) and \(e^{*}\) are strictly decreasing in f for \(f\in (\underline{f},\widehat{f })\), it follows that \(p^{*}\) is weakly increasing in f, and it is strictly increasing in f for \(f\in (\underline{f},\overline{f})\). Thus, the result is shown.

Proof of Proposition 5

With an exogenous number of firms, part (i) follows directly from equations (3), (12) and (13) under \(\theta <\theta _{w}\). Next, with an endogenous number of firms it can be seen that there exists a positive threshold \(\overline{\alpha }\) such that \(\partial W(\gamma ^{*},e^{*})/\partial e<0\) for all \(\lambda =\theta _{w}-\theta >\overline{\alpha }\). Hence, there exists no crossing point at which \(e^{*}(\gamma ^{*})=e^{w}(\gamma ^{w})\) whenever the difference \(\theta _{w}-\theta\) is above \(\overline{\alpha }\). In particular, \(e^{*}(\gamma ^{*})>e^{w}(\gamma ^{w})\) for all \(\lambda >\overline{\alpha }\), so that part (ii.1) holds.

Consider now part (ii.2), so that \(\lambda <\overline{\alpha }\). Here, there exists a positive threshold \(\underline{\alpha }<\overline{\alpha }\) such that with \(\lambda \in (\underline{\alpha },\overline{\alpha })\) we have \(\partial W(\gamma ^{*},e^{*})/\partial e\gtreqless 0\) as \(f\gtreqless f_{I}^{a}\) for \(f\in [\underline{f},\overline{f})\), and \(\partial W(\gamma ^{*},e^{*})/\partial e\lesseqgtr 0\) as \(f\gtreqless f_{I}^{b}\) for \(f\in [\overline{f},\overline{f}_{w}]\). Consequently, in the region where \(\widehat{f}\le f\le \overline{f}\) we can use equations (2) and (19) to see that as long as \(\lambda <\overline{ \alpha }\) there exists one crossing point at which \(e^{w}(\gamma ^{w})=e^{*}(\gamma ^{*})\), where \(e^{w}(\gamma ^{w})\) follows from (3), and \(e^{*}(\gamma ^{*})\) follows from (13). However, in the region where \(\underline{f}\le f\le \widehat{f}\) no crossing point at which \(e^{w}(\gamma ^{w})=e^{*}(\gamma ^{*})\) does exist whenever \(\lambda >\underline{\alpha }\). Hence, part (ii.2) follows.

Finally, consider part (iii.3), where \(\lambda <\underline{\alpha }\). First, consider the region \(\widehat{f}\le f\le \overline{f}_{w}\). Making use of (2) and (19), here \(\gamma ^{*}\) and \(\gamma ^{w}\) cross as long as

$$\begin{aligned} \frac{2-\gamma }{2}\left( v-\theta e^{*}(\gamma )-1-c\right) =\frac{1}{4} \gamma +(1-\gamma )\left( v-\theta e^{w}(\gamma )-\frac{1}{2}-c\right) , \end{aligned}$$

with \(e^{*}(\gamma )=e^{w}(\gamma )\) for \(\gamma =\gamma ^{*}=\gamma ^{w}\) under \(\theta\) arbitrarily close to \(\theta _{w}\). This holds whenever

$$\begin{aligned} h_{I}(\gamma )\equiv \gamma \left( v-\theta e^{w}(\gamma )-\frac{1}{2} -c\right) -1=0. \end{aligned}$$

It can be seen that \(h_{I}(0)<0\), \(h_{I}(1)>0\), and \(h_{I}^{\prime }(\gamma )>0\). Hence, in this region there exists one solution \(\gamma \in (0,1)\) to \(h_{I}(\gamma )=0\). That is, there exists one crossing point at which \(\gamma ^{*}=\gamma ^{w}\) when \(\theta\) approaches \(\theta _{w}\). Denote that crossing point by \(\gamma (f_{I}^{a})\).

Next, consider the region \(\underline{f}_{w}\le f\le \widehat{f}\). From (2) and (15), here \(\gamma ^{*}\) and \(\gamma ^{w}\) cross as long as

$$\begin{aligned} \frac{(2-\gamma )^{2}}{2\gamma }=\frac{1}{4}\gamma +(1-\gamma )\left( v-\theta e^{w}(\gamma )-\frac{1}{2}-c\right) , \end{aligned}$$

with \(e^{*}(\gamma )=e^{w}(\gamma )\) for \(\gamma =\gamma ^{*}=\gamma ^{w}\) under \(\theta\) arbitrarily close to \(\theta _{w}\). This holds whenever

$$\begin{aligned} h_{II}(\gamma )\equiv 2\gamma (1-\gamma )\left( v-\theta e^{w}(\gamma )- \frac{1}{2}-c\right) +\frac{1}{2}\gamma ^{2}+(2-\gamma )^{2}=0. \end{aligned}$$

We have that \(h_{II}(0)<0\), \(h_{II}(1)<0\), \(h_{II}(\gamma )>0\) for some \(\gamma \in (0,1)\), and there exists a threshold value \(\widetilde{\gamma } \in (0,1)\) such that \(h_{II}^{\prime }(\gamma )\gtreqless 0\) as \(\gamma \lesseqgtr \widetilde{\gamma }\). Therefore, there is one root to \(h_{II}(\gamma )=0\) on the interval \((0,\widetilde{\gamma })\), and there is another root to \(h_{II}(\gamma )=0\) on the interval \((\widetilde{\gamma },1)\) . Hence, here there exist two crossing points at which \(\gamma ^{*}=\gamma ^{w}\) when \(\theta\) approaches \(\theta _{w}\). Denote those crossing points by \(\gamma (f_{II}^{a})\) and \(\gamma (f_{II}^{b})\), where \(f_{II}^{a}<f_{II}^{b}\). By continuity, this shows part (ii.3) and completes the proof.

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Casino, B., Granero, L.M. Green products, market structure, and welfare. J Econ 134, 103–125 (2021). https://doi.org/10.1007/s00712-021-00740-0

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