Skip to main content
Log in

Green Alliances: Are They Beneficial when Regulated Firms are Asymmetric?

  • Published:
Journal of Industry, Competition and Trade Aims and scope Submit manuscript

Abstract

In this paper, we analyze the collaboration between an environmental group (EG) and polluting firms when they are asymmetric in their abatement costs. We find that, as firms become more asymmetric, the EG collaborates more with the firm suffering from an abatement cost disadvantage, but this additional collaboration does not overcome firms’ cost asymmetry, producing an overall decrease in total abatement and an increase in total emissions. We also evaluate the welfare effects of introducing an EG and/or a regulator, finding that the latter generally yields larger welfare gains than the former when neither are present. Unlike previous studies, we show that the welfare benefit from a second agent is, under most settings, largest when firms are more asymmetric in their abatement costs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. For more details visit http://www.edf.org/partnerships/mcdonalds and see Hartman and Stafford (1997) and Livesey (1999).

  2. This collaboration helped replace ozone-destroying chlorofluorocarbons withhydrocarbon in refrigeration technology, visit http://www.greenpeace.org/international/story/15323/how-greenpeace-changed-an-industry-25-years-of-greenfreeze-to-cool-the-planet/.

  3. Visit http://investor.internationalpaper.com/news-releases/press-r/2006/International-Paper-The-Nature-Conservancy-and-The-Conservation-Fund-Protect-218000-Acres-of-US-Forestland-Through-Historic-Land-Acquisition-Project/default.aspx.

  4. In 2013, Revlon and the Breast Cancer Fund, for instance, did not collaborate in reducing chemicals deemed to be cancerous, such as DMDM Hydantoin and Quaternium-15. In this period, Revlon was not subject to environmental policy regarding these chemicals in the US, although Quaternium-15 is to be regulated in California in 2025. While other reasons could explain the lack of partnerships, our model identifies an additional source when firms do not face environmental regulation. See February 9, 2015 Guardian article “Under pressure: campaigns that persuaded companies to change the world,” www.theguardian.com/sustainable-business/2015/feb/09/corporate-ngo-campaign-environment-climate-change (accessed Sept. 27, 2021).

  5. Alternatively, \(\lambda =0\) can apply for an upstream firm whereas \(\lambda >0\) is more relevant for a downstream firm that directly deals with end-consumer markets.

  6. For comparison purposes, we assume that the EG’s collaboration produces the same cost-reducing effect as in Espinola-Arredondo et al. (2021), helping us isolate the effect of firm heterogeneity in equilibrium results.

  7. This implies that firms receive specialized technical expertise from the EG, as suggested by Baron (2012), about environmentally superior technologies, as in Yaziji and Doh (2009).

  8. We only present firm i in this and the following Lemmas, Corollaries, and Propositions, however firm j faces symmetric problems with symmetric results and is omitted for brevity.

  9. The denominator term B for every firm i depends on both its cost of investing and that of its rival’s, \(\gamma _i\) and \(\gamma _j\).

  10. As shown in Lemma 3, best response function \(z_j(z_i)\) is unaffected by \(\gamma _i\), thus not changing equilibrium abatement \(z_j(b_i,b_j)\).

  11. For example, elasticities at \(\gamma _i=1.1\) are calculated as \(\varepsilon _x=\dfrac{[x(1.1)-x(1)]/x(1)}{(1.1-1)/1}\).

  12. Firms continue to invest in abatement without the regulator or EG present because of the increase in demand abatement provides through parameter \(\lambda\). Appendices 1-1 examine how our equilibrium results are affected if only the EG is present, only the regulator is present, or if neither of them is present.

  13. Tables analogous to Tables 4-9 which evaluates the elasticity of the welfare gains or losses with respect to marginal increases in firm asymmetry are available upon request. In the baseline case, percentage changes in the welfare gains from introducing environmental regulation or EGs diminish as firms become more asymmetric in their cost of investing in abatement, and the welfare losses become more severe.

  14. This is the case for each of the parameters that only impact the EG’s decision (\(\theta\), \(\beta\), and \(c_{EG}\)).

References

  • Baron DP (2012) The industrial organization of private politics. Quart J Political Sci 7(2):135–174

    Article  Google Scholar 

  • Baron DP, Diermeier D (2007) Strategic activism and nonmarket strategy. J Econ Manag Strat 16(3):599–634

    Article  Google Scholar 

  • Espinola-Arredondo A, Stathopoulou E, Munoz-Garcia F (2021) Regulators and environmental groups: Better together or apart? forthcoming. Environ Dev Econ

  • Fischer C, Lyon TP (2014) Competing environmental labels. J Econ Manag Strat 23(3):692–716

    Article  Google Scholar 

  • Harbaugh R, Maxwell JW, Roussillon B (2011) Label confusion: The Groucho effect of uncertain standards. Manag Sci 57(9):1512–1527

    Article  Google Scholar 

  • Hartman C, Stafford E (1997) Green alliances: Building new business with environmental groups. Long Range Plan 30(2):184–196

    Article  Google Scholar 

  • Heijnen P (2013) Information advertising by an environmental group. J Econ 108(3):249–272

    Article  Google Scholar 

  • Heijnen P, Schoonbeek L (2008) Environmental groups in monopolistic markets. Environ Res Econ 39(4):379–396

    Article  Google Scholar 

  • Heyes AG, Maxwell JW (2004) Private vs. public regulation: Political economy of the international environment. J Environ Econ Manag 48(2), 978–996

  • Innes R (2006) A theory of consumer boycotts under symmetric information and imperfect competition. Econ J 116(511):355–381

    Article  Google Scholar 

  • Liston-Heyes C (2001) Setting the stakes in environmental contests. J Environ Econ Manag 41(1):1–12

    Article  Google Scholar 

  • Livesey SM (1999) McDonald’s and the Environmental Defense Fund: a case study of a green alliance. J Bus Commun 36(1):5–39

    Article  Google Scholar 

  • Riddel M (2003) Candidate eco-labeling and senate campaign contributions. J Environ Econ Manag 45(2):177–194

    Article  Google Scholar 

  • Rondinelli DA, London T (2003) How corporations and environmental groups cooperate: Assessing cross-sector alliances and collaborations. Acad Manag Exec 17(1):61–76

    Google Scholar 

  • Seitanidi MM, Crane A (2013) Social partnerships and responsible business: A research handbook. Routledge Publishers

  • Stafford ER, Polonsky MJ, Hartman CL (2000) Environmental NGO-business collaboration and strategic bridging: A case analysis of the greenpeace-foron alliance. Bus Strat Environ 9(2):122–135

    Article  Google Scholar 

  • Stathopoulou E, Gautier L (2019) Green alliances and the role of taxation. Environ Res Econ 74(3):1189–1206

    Article  Google Scholar 

  • Strandholm JC, Espinola-Arredondo A, Munoz-Garcia F (2021) Pollution abatement with disruptive R&D investment. Res Energy Econ 66:1–29

    Article  Google Scholar 

  • van der Made A, Schoonbeek L (2009) Information provision by interest groups. Environ Res Econ 43(4):457–472

    Article  Google Scholar 

  • Yaziji M, Doh J (2009) NGOs and corporations: Conflict and collaboration. Cambridge University Press, Cambridge

    Book  Google Scholar 

Download references

Funding

Strandholm received partial funding from the University of South Carolina Upstate Office of Sponsored Awards and Research Support’s Scholarly Course Reallocation Program.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to John C. Strandholm.

Ethics declarations

Ethical Approval

Not applicable

Informed consent

Not applicable.

Conflicts of interest

The authors declare that they have no conict of interest.

Additional information

Publisher’s Note

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

Strandholm thanks the University of South Carolina Upstate Office of Sponsored Awards and Research Support for partial funding of the project.

A Appendix

A Appendix

1.1 A.1 Proof of Lemma 1

The first-order condition from the firm’s problem is

$$\begin{aligned} a+\lambda z_i -2q_i-q_j-t=0. \end{aligned}$$

Solving for \(q_i\) we obtain firm i’s best response function,

$$\begin{aligned} q_i(q_j)=\frac{1}{2}[a+\lambda z_i-t]-\frac{1}{2}q_i. \end{aligned}$$

Firm j has a symmetric best response function. Simultaneously solving the best response functions for \(q_i\) and \(q_j\), we obtain equilibrium output in the fourth stage of,

$$\begin{aligned} q_i(t)=\frac{[a+\lambda (2z_i-z_j)]-t}{3}. \end{aligned}$$

We find that output is positive if and only if,

$$\begin{aligned} z_i>\frac{1}{2}z_j-\frac{a-t}{2\lambda }. \end{aligned}$$

Inserting equilibrium output in the firm’s fourth-stage profits, we find,

$$\begin{aligned} \pi _i(t)= & {} (a+\lambda z_i-q_i(t)-q_j(t))q_i(t)-t(q_i(t)-z_i)), \\= & {} \left( \frac{[a+\lambda (2z_i-z_j)]-t}{3}\right) ^2+tz_i,\\= & {} (q_i(t))^2+tz_i. \end{aligned}$$

1.2 A.2 Proof of Corollary 1

Taking a derivative of firm i’s profit with respect to \(z_i\), \(\lambda\), \(z_j\), and t we obtain:

$$\begin{aligned} \frac{\partial \pi _i(t)}{\partial z_i}= & {} \frac{1}{9} (4 \lambda (a+2 \lambda z_i-\lambda z_j)+(9-4 \lambda ) t)>0,\\ \frac{\partial \pi _i(t)}{\partial \lambda }= & {} \frac{2}{9} (2 z_i-z_j) (a-t+2 \lambda z_i-\lambda z_j)>0,\\ \frac{\partial \pi _i(t)}{\partial z_j}= & {} -\frac{2}{9} \lambda (a-t+\lambda (2 z_i-z_j))<0,\\ \frac{\partial \pi _i(t)}{\partial t}= & {} -\frac{1}{9} (2( a- t)+4 \lambda z_i-9 z_i-2 \lambda z_j). \end{aligned}$$

The final comparative static is positive, \(\frac{\partial \pi _i(t)}{\partial t}>0\), if \(z_i<\frac{2(a-t-\lambda z_j)}{9-4\lambda }\).

1.3 Proof of Lemma 2

In the third stage, the regulator’s problem is,

$$\begin{aligned} \underset{t\ge 0}{\max }\, \frac{1}{2}[q_i(t)+q_j(t)]^2+[\pi _i(t)+\pi _j(t)]+t[q_i(t)+q_j(t)-Z]-d[q_i(t)+q_j(t)-Z]^2. \end{aligned}$$

The first-order condition is,

$$\begin{aligned} \frac{\partial SW}{\partial t}=\frac{2a(4d-1)-4t(1+2d)-Z[\lambda +4d(3-\lambda )]}{9} =0. \end{aligned}$$

Solving for t, we obtain the emission fee,

$$\begin{aligned} t=\frac{2a(4d-1)-Z[\lambda +4d(3-\lambda )]}{4(1+2d)}, \end{aligned}$$

in which \(t(Z)>0\) if and only if \(Z<\frac{2a(4d-1)}{\lambda +4d(3-\lambda )}\equiv \tilde{Z}\). The emission fee is unambiguously decreasing in aggregate abatement Z, and increasing in public image \(\lambda\):

$$\begin{aligned} \frac{\partial t(Z)}{\partial Z}= & {} \frac{4 d (\lambda -3)-\lambda }{8 d+4}<0 \\ \frac{\partial t(Z)}{\partial \lambda }= & {} \frac{(4 d-1) Z}{8 d+4}>0. \end{aligned}$$

The comparative static on the emission fee with respect to environmental damage d is,

$$\begin{aligned} \frac{\partial t(Z)}{\partial d}=\frac{6 a+3 (\lambda -2) Z}{2 (2 d+1)^2}, \end{aligned}$$

which is positive if and only if \(Z<\frac{2a}{2-\lambda }\equiv \bar{Z}\). Comparing \(\bar{Z}\) and \(\tilde{Z}\), we find that \(\bar{Z}>\tilde{Z}\) under all parameter conditions:

$$\begin{aligned} \bar{Z}\equiv \frac{2a}{2-\lambda }>\frac{2a(4d-1)}{\lambda +4d(3-\lambda )}\equiv \tilde{Z}, \end{aligned}$$

which simplifies to \(d>-\frac{1}{2}\), which always holds as \(d>\frac{1}{2}\).

1.4 A.4 Proof of Lemma 3

In the second stage, we first evaluate realized equilibrium profits in the fourth stage \(\pi _k(z_i,z_j)=\pi _k(t(Z))\), where t(Z) is from Lemma 2. Inserting this into each firm i’s problem in the second stage, we have that

$$\begin{aligned} \underset{z_i\ge 0}{\max } \, \pi _i(z_i,z_j)-\frac{1}{2}(\gamma _i-\theta b_i)(z_i)^2, \end{aligned}$$

and differentiating with respect to \(z_i\) we find

$$\begin{aligned} \frac{a (8 d-2)+(4 d (\lambda -3)-\lambda ) (z_i+z_j)}{8 d+4}+ & {} \frac{(4 d (\lambda +1)+3 \lambda ) (2 a+4 d ((1+\lambda )z_i+(1-\lambda )z_j)+\lambda (3 z_i-z_j))}{8 (2 d+1)^2}\\+ & {} z_i (b_i \theta _i-\gamma _i)+\frac{z_i (4 d (\lambda -3)-\lambda )}{8 d+4}=0 \end{aligned}$$

Solving for \(z_i\), we obtain firm i’s best response function

$$\begin{aligned} z_i(z_{j})=\frac{1}{A} \left[ 8 a d (4 d+\lambda +2)+6 a \lambda -4 a\right] -\frac{1}{A}[2 \lambda +(4 d+3) \left( \lambda ^2+4 d (2+\lambda (\lambda -1) )\right) ] z_{j}, \end{aligned}$$

where \(A\equiv 16 d (5 d+3+2(d+1)(\gamma _i-b_i \theta ))+8( \gamma _i-b_i \theta )-(4 d+3)^2 \lambda ^2-32 d (2 d+1) \lambda +4 \lambda\), and \(A>0\) if \(\gamma _i>\frac{16 d^2 (\lambda -1) (\lambda +5)+8 d (\lambda (3 \lambda +4)-6)+\lambda (9 \lambda -4)}{8 (2 d+1)^2}\). Taking derivatives of A with respect to \(\gamma _i\) and \(\gamma _j\) yields

$$\begin{aligned} \frac{\partial A}{\partial \gamma _i}= & {} 8(1+2d)^2,\\ \frac{\partial A}{\partial \gamma _j}= & {} 0. \end{aligned}$$

Firm j has a symmetric best response function. This best response function has the following properties:

  1. 1.

    when \(b_i=0\) and \(\lambda =0\), the best response function is

    $$\begin{aligned} z_i(z_{j})=\frac{a \left( 8 d^2+4 d-1\right) -2 d (4 d+3) z_j}{2 \gamma _i+4 d (2 \gamma _i (d+1)+5 d+3)}, \end{aligned}$$

    which is unambiguously decreasing in \(z_j\);

  2. 2.

    when \(b_i=0\) and \(\lambda >0\), the best response function is

    $$\begin{aligned} z_i(z_j)=\frac{8 a d (4 d+\lambda +2)+a(6 \lambda -4)-z_j\left[ (4 d+3) \left( 4 d ((\lambda -1) \lambda +2)+\lambda ^2\right) -2 \lambda \right] }{8 \gamma _i+16 d (2 \gamma _i (d+1)+5 d+3)-(4 d+3)^2 \lambda ^2-32 d (2 d+1) \lambda +4 \lambda }, \end{aligned}$$

    and is decreasing in \(z_j\) if and only if \(\gamma _i>\bar{\gamma }\);

  3. 3.

    when \(b_i\), \(\lambda >0\), \(z_i(z_j)\) is decreasing in \(z_j\) if and only if \(\gamma _i>\bar{\gamma }+\theta b_i\),

where \(\bar{\gamma }\equiv \frac{\lambda (9 \lambda -4)+8 d [\lambda (3 \lambda +4)-6]-16 d^2 (1-\lambda ) (5+\lambda )}{8 (1+2 d)^2}\). This cutoff decreases in d, and increases in \(\lambda\) as follows:

$$\begin{aligned} \frac{\partial \bar{\gamma }}{\partial d}= & {} -\frac{(4 d+3) (\lambda -2)^2}{2 (2 d+1)^3}<0,\\ \frac{\partial \bar{\gamma }}{\partial \lambda }= & {} \frac{8 d (2 d (\lambda +2)+3 \lambda +2)+9 \lambda -2}{4 (2 d+1)^2}>0. \end{aligned}$$

1.5 A.5 Proof of Proposition 1

Simultaneously solving for \(z_i\) and \(z_j\) in the best response function \(z_i(z_j)\), and \(z_j(z_i)\) yields the equilibrium abatement

$$\begin{aligned} z_i(b_i,b_j)= \frac{1}{B}\left[ a (4 d (4 d+\lambda +2)+3 \lambda -2) \left( 4 d (3+2(\gamma _j- b_j \theta )-\lambda (2 \lambda +3))+4(\gamma _j- b_j \theta )-6 \lambda ^2+\lambda \right) \right] \end{aligned}$$

for each firm i, where the term B is defined as

$$\begin{aligned} B\equiv & {} 3 \lambda ^2 (6 \theta (b_i+b_j)-6 (\gamma _i+\gamma _j)+1)+8 \lambda (-\theta (b_i+b_j)+\gamma _i+\gamma _j)+16 (\gamma _i-b_i \theta ) (\gamma _j-b_j \theta )\\&+32 d^3 \left[ \lambda ^2 (2 \theta (b_i+b_j)-2 (\gamma _i+ \gamma _j+1)-8 \lambda (-\theta (b_i+b_j)+\gamma _i+\gamma _j)+4 b_i \theta b_j \theta -\gamma _j)-10 \theta b_i+b_j)\right. \\&+\left. 2 \gamma _i (2(\gamma _j-b_j \theta )+5)+10 \gamma _j+10 \lambda ^3-36 \lambda +21\right] +16 d^2 \left[ -4 \lambda ^2 (-2 \theta (b_i+b_j)+2 (\gamma _i+\gamma _j)+7)-\right. \\&\left. 16 \lambda (-\theta (b_i+b_j)+\gamma _i+\gamma _j)+2 (6 b_i \theta (b_j\theta -\gamma _j)+\gamma _i (6(\gamma _j-b_j \theta )+11))-22 \theta (b_i+b_j)+22 \gamma _j+2 \lambda ^4\right. \\&\left. +29 \lambda ^3-40 \lambda +27\right] +2 d \left[ 48 \left( -\theta (b_i \gamma _j+b_i+b_j \gamma _i+b_j)+b_i b_j \theta ^2+\gamma _i \gamma _j+\gamma _i+\gamma _j\right) \right. \\&\left. +\lambda ^2 (42 \theta (b_i+b_j)-42 \gamma _i-42 \gamma _j-155)+12 \lambda (2 \theta (b_i+b_j)-2 \gamma _i-2 \gamma _j+3)+24 \lambda ^4+70 \lambda ^3\right] \\&+18 \lambda ^4-21 \lambda ^3. \end{aligned}$$

When the EG is absent, \(b_i=b_j=0\), each firm i’s equilibrium abatement is

$$\begin{aligned} z_i(0,0)=\frac{1}{C} \left[ a (4 d (4 d+\lambda +2)+3 \lambda -2) \left( 4 \gamma _j+4 d (2 \gamma _j-\lambda (2 \lambda +3)+3)-6 \lambda ^2+\lambda \right) \right] \end{aligned}$$

where the term C is defined as

$$\begin{aligned} C\equiv & {} -\lambda ^2 (3 (6 \gamma _i+6 \gamma _j-1)+2 d (42\gamma _i+42 \gamma _j+16 d (4 \gamma _i+4 \gamma _j+d (2 \gamma _i+2 \gamma _j-1)+14)+155))\\&+8 \lambda (\gamma _i+\gamma _j-d (6 \gamma _i+6 \gamma _j+16 d (2 \gamma _i+2\gamma _j+d (2 \gamma _i+2 \gamma _j+9)+5)-9))\\&+16 (\gamma _j (2 d+1) (\gamma _i+2 d (2 \gamma _i (d+1)+5 d+3))+d (6 \gamma _i+d (22\gamma _i+(20 \gamma _i+42) d+27)))\\&+2 (4 d+3)^2 \lambda ^4+(4 d+3) (8 d (10 d+7)-7) \lambda ^3 \end{aligned}$$

1.6 A.6 Proof of Proposition 2

The EG’s marginal benefit is

$$\begin{aligned} MB_i\equiv & {} \frac{1}{2}\beta (ER_i)^{-\frac{1}{2}}\left[ \frac{\partial ER_i}{\partial b_i}\right] +\frac{1}{2}\beta (ER_j)^{-\frac{1}{2}}\left[ \frac{\partial ER_j}{\partial b_i} \right] \\= & {} \frac{1}{2}\beta (ER_i)^{-\frac{1}{2}}\left[ \frac{\partial e_i^{NoEG}}{\partial b_i}-\frac{\partial e_i^{EG}}{\partial b_i}\right] +\frac{1}{2}\beta (ER_j)^{-\frac{1}{2}}\left[ \frac{\partial e_j^{NoEG}}{\partial b_i}-\frac{\partial e_j^{EG}}{\partial b_i}\right] \end{aligned}$$

We can simplify this further since \(\frac{\partial e_i^{NoEG}}{\partial b_i}=\frac{\partial e_j^{NoEG}}{\partial b_i}=0\) and \(\frac{\partial e_i^{EG}}{\partial b_i}=\frac{\partial q}{\partial b_i}-\frac{\partial z_i}{\partial b_i}\), where \(q(t(z_i(b_i,b_j),z_j(b_i,b_j)))\). Therefore,

$$\begin{aligned} \frac{\partial q}{\partial b_i}=\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\frac{\partial z_i}{\partial b_i}+\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\frac{\partial z_j}{\partial b_i}, \end{aligned}$$

which simplifies further to \(\frac{\partial q}{\partial b_i}=\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\left( \frac{\partial z_i}{\partial b_i}+\frac{\partial z_j}{\partial b_i} \right)\). We also know that since \(t(Z)=t(z_i+z_j)\), then \(\frac{\partial t}{\partial z_i}=\frac{\partial t}{\partial z_j}\). Substituting this into \(MB_i\), we obtain

$$\begin{aligned} MB_i&\equiv \frac{1}{2}\beta (ER_i)^{-\frac{1}{2}}\left[ \frac{\partial z_i}{\partial b_i}-\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\left( \frac{\partial z_i}{\partial b_i}+\frac{\partial z_j}{\partial b_i} \right) \right] +\frac{1}{2}\beta (ER_j)^{-\frac{1}{2}}\left[ \frac{\partial z_j}{\partial b_i}-\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\left( \frac{\partial z_i}{\partial b_i}+\frac{\partial z_j}{\partial b_i} \right) \right] .\\ \end{aligned}$$

1.7 A.7 Robustness Checks

1.7.1 A.7.1Higher \(\theta =0.45\)

Since \(\theta\) only shows up in the EG’s problem, the equilibrium values in the absence of the EG coincide with those in Tables 1b, 15 and 16.

Table 15 Equilibrium collaboration efforts when the EG collaborates with both firms at \(\theta =0.45\)
Table 16 Equilibrium collaboration efforts and elasticities when the EG collaborates with both firms at \(\theta =0.45\)

1.7.2 A.7.2 Higher \(\beta =0.2\).

Since \(\beta\) only affects the EG’s problem, the equilibrium values in the absence of the EG coincide with those in Tables 1b, 17, 18, 19, 20 and 20.

Table 17 Equilibrium collaboration efforts when the EG collaborates with both firms at \(\beta =0.2\)  
Table 18 Equilibrium collaboration efforts and elasticities when the EG collaborates with both firms at \(\beta =0.2\)
Table 19 Equilibrium levels when d=1.25.
Table 20 Equilibrium collaboration efforts and elasticities when the EG collaborates with both firms at \(d=1.25\)

1.7.3 A.7.4 Higher \(c_{EG}=0.1\)  

Since \(c_{EG}\) only affects the EG’s problem, the equilibrium values in the absence of the EG coincide with those in Tables 1b and 21. The equilibrium values in this case are shown in Table 21.

Table 21 Equilibrium collaboration efforts when the EG collaborates with both firms at \(c_{EG}=0.1\)  

1.7.4 A.7.5 Higher \(\lambda =0.2\)

Table 22. Table 22 shows the equilibrium values when λ=0.2.e 22.

Table 22 Equilibrium levels when λ=0.2.

1.7.5 A.7.6 Higher \(a=2\)

Table 23. Table 23 shows the equilibrium values when a=2.e 23.

Table 23 Equilibrium levels when λ=0.2.

1.8 A.8 No EG, Regulation Present

In this case, there is no actor in the first stage and the results from the fourth stage (Lemma 1) and the third stage (Lemma 2) are unchanged:

$$\begin{aligned} q_i= & {} \frac{1}{3} (a-t+2 \lambda z_i-\lambda z_j),\\ t= & {} \frac{2a(4d-1)-(z_i+z_j)[\lambda +4d(3-\lambda )]}{4(1+2d)}. \end{aligned}$$

Second Stage We can use the result from Proposition 1 where \(z_i(b_i,b_j)\) is evaluated at \(b_i=b_j=0\) to obtain each firm i’s equilibrium investment in abatement in the absence of the EG,

$$\begin{aligned} z_i^{NoEG}=\frac{1}{C} \left[ a (4 d (4 d+\lambda +2)+3 \lambda -2) \left( 4 \gamma _j+4 d (2 \gamma _j-\lambda (2 \lambda +3)+3)-6 \lambda ^2+\lambda \right) \right] . \end{aligned}$$

which entails equilibrium profits of

$$\begin{aligned} \pi _i^{NoEG}=\frac{1}{9} \left[ a^2+2 \lambda (a-t) (2 z_i^{NoEG}-z_j^{NoEG})-2 a t+t^2-\lambda ^2 (2z_i^{NoEG}-z_j^{NoEG})^2\right] + t z_i^{NoEG}. \end{aligned}$$

Social welfare in this case is

$$\begin{aligned} SW=\frac{1}{2}[q_i+q_j]^2+\pi _i+\pi _j+t[q_i+q_j-z_i-z_j]-d[q_i+q_j-z_i-z_j]^2, \end{aligned}$$

where the NoEG superscripts are removed for readability.

1.9 A.9 No Regulation, EG Present

Fourth stage In this case, the fourth stage remains unchanged except now we treat \(t=0\), and the results from Lemma 1 become,

$$\begin{aligned} q_i(z_i,z_j)= & {} \frac{1}{3}\left( a+\lambda (2z_i-z_j)\right) ,\\ \pi _i(z_i,z_j)= & {} \left( q_i(z_i,z_j)\right) ^2. \end{aligned}$$

Second Stage In the absence of the regulator, there is no player in the third stage, so we proceed to the second stage of the game where each firm i solves

$$\begin{aligned} \underset{z_i\ge 0}{\max }\,\pi _i(z_i,z_j)-\frac{1}{2}(\gamma _i-\theta b_i)(z_i)^2. \end{aligned}$$

The first-order condition is

$$\begin{aligned} \frac{4}{9} \lambda (a+ \lambda (2z_i-z_j))- (\gamma _i- \theta b_i )z_i=0, \end{aligned}$$

and firm i’s best response function is

$$\begin{aligned} z_i(z_j)=\frac{4a \lambda }{9(\gamma _i- b_i \theta )-8 \lambda ^2}-\frac{4 \lambda ^2 }{9(\gamma _i- b_i \theta )-8 \lambda ^2}z_j. \end{aligned}$$

Firm j has a symmetric best response function. Simultaneously solving for \(z_i\) and \(z_j\), we find

$$\begin{aligned} z_i^{NoReg}=\frac{4 a \lambda \left( 3 ( \gamma _j-\theta b_j )-4 \lambda ^2\right) }{27 (\gamma _i-\theta b_i ) (\gamma _j- \theta b_j)-24 \lambda ^2 [(\gamma _i- \theta b_i)+(\gamma _j- \theta b_j)]+16 \lambda ^4}. \end{aligned}$$

First stage The EG’s problem remains

$$\begin{aligned} \underset{b_i,b_j\ge 0}{\max }\, \, [\underbrace{\beta (ER_i)^\frac{1}{2}-c_{EG}(b_i)^2}_{\text {Firm}\,\, i}] + [\underbrace{\beta (ER_j)^\frac{1}{2}-c_{EG}(b_j)^2}_{\text {Firm}\,\,j}]. \end{aligned}$$

In the absence of the regulator, the firm’s abatement is not impacted by an emissions fee (as \(t=0\)) and solely incentivized by how abatement impacts demand, \(\lambda\). The EG anticipates this when choosing its collaboration efforts \(b_i\) and \(b_j\).

Social welfare in this case is

$$\begin{aligned} SW=\frac{1}{2}[q_i+q_j]^2+\pi _i+\pi _j-d[q_i+q_j-z_i-z_j]^2-c_{EG}(b_i^2+b_j^2). \end{aligned}$$

1.10 A.10 No Regulation, no EG

In the absence of both the EG and the regulator, the game only includes stages two and four.

Fourth stage We again use our result from Lemma A1 where \(t=0\), which yields

$$\begin{aligned} q_i(z_i,z_j)= & {} \frac{1}{3}\left( a+\lambda (2z_i-z_j)\right) ,\\ \pi _i(z_i,z_j)= & {} \left( q_i(z_i,z_j)\right) ^2. \end{aligned}$$

Second Stage Each firm i’s problem in the second stage is

$$\begin{aligned} \underset{z_i\ge 0}{\max }\,\, \frac{1}{9} (a+ \lambda (2 z_i-z_j))^2-\frac{1}{2}\gamma _i (z_i)^2, \end{aligned}$$

with first-order condition

$$\begin{aligned} \frac{4}{9} \lambda (a+(\lambda z_i- z_j))-\gamma _i z_i=0, \end{aligned}$$

and best response function

$$\begin{aligned} z_i(z_j)=\frac{4 a\lambda }{9 \gamma _i-8 \lambda ^2}-\frac{4\lambda ^2 }{9 \gamma _i-8 \lambda ^2}z_j. \end{aligned}$$

Firm j has a symmetric best response function. Simultaneously solving for \(z_i\) and \(z_j\), we obtain

$$\begin{aligned} z_i^{NoEG,NoReg}=\frac{4 a \lambda \left( 3 \gamma _j-4 \lambda ^2\right) }{27 \gamma _i \gamma _j-24 \lambda ^2 (\gamma _i+\gamma _j)+16 \lambda ^4}, \end{aligned}$$

which coincides with \(z_i^{NoReg}\) when evaluated at \(b_i=b_j=0\) (see Appendix 1). Inserting this equilibrium abatement level into firm i’s equilibrium output, we obtain that

$$\begin{aligned} q_i^{NoEG,NoReg}=\frac{3 a \gamma _i \left( 3 \gamma _j-4 \lambda ^2\right) }{27 \gamma _i \gamma _j-24 \lambda ^2 (\gamma _i+\gamma _j)+16 \lambda ^4}, \end{aligned}$$

which entails equilibrium profits of

$$\begin{aligned} \pi _i^{NoEG,NoReg}=\frac{a^2 \gamma _i \left( 9 \gamma _i-8 \lambda ^2\right) \left( 3 \gamma _j-4 \lambda ^2\right) ^2}{\left( 27 \gamma _i \gamma _j-24 \lambda ^2 (\gamma _i+\gamma _j)+16 \lambda ^4\right) ^2}. \end{aligned}$$

Social welfare in this case is

$$\begin{aligned} SW=\frac{1}{2}[q_i+q_j]^2+\pi _i+\pi _j-d[q_i+q_j-z_i-z_j]^2, \end{aligned}$$

which, when evaluated at the equilibrium is

$$\begin{aligned} SW= & {} \frac{1}{\left( 27 \gamma _i \gamma _j-24 \lambda ^2 (\gamma _i+\gamma _j)+16 \lambda ^4\right) ^2}4 a^2 [-6 \lambda ^4 \left( -9 \gamma _i^2-22 \gamma _i \gamma _j-9 \gamma _j^2+2 d (\gamma _i+\gamma _j) (3 \gamma _i+3 \gamma _j-16)\right) \\&-72 d \lambda ^3 \left( \gamma _i^2+6 \gamma _i \gamma _j+\gamma _j^2\right) -81 \gamma _i^2 \gamma _j^2 (d-1)-32 \lambda ^6 (\gamma _i+\gamma _j+8 d)+192 d \lambda ^5 (\gamma _i+\gamma _j)\\&+18 \lambda ^2 (\gamma _i+\gamma _j) (-7 \gamma _i \gamma _j+\gamma _i (6 \gamma _j-2) d-2 \gamma _j d)+108 \gamma _i \gamma _j d \lambda (\gamma _i+\gamma _j)]. \end{aligned}$$

1.11 A.11 Proof of Proposition 3

The EG’s marginal benefit is

$$\begin{aligned} MB_i\equiv & {} \beta \left[ \frac{\partial ER_i}{\partial b_i}\right] +\beta \left[ \frac{\partial ER_j}{\partial b_i} \right] = \beta \left[ \frac{\partial ER_i}{\partial b_i}+\frac{\partial ER_j}{\partial b_i}\right] \\= & {} \beta \left[ \frac{\partial e_i^{NoEG}}{\partial b_i}-\frac{\partial e_i^{EG}}{\partial b_i}+ \frac{\partial e_j^{NoEG}}{\partial b_i}-\frac{\partial e_j^{EG}}{\partial b_i}\right] \end{aligned}$$

We can simplify this further since \(\frac{\partial e_i^{NoEG}}{\partial b_i}=\frac{\partial e_j^{NoEG}}{\partial b_i}=0\) and \(\frac{\partial e_i^{EG}}{\partial b_i}=\frac{\partial q}{\partial b_i}-\frac{\partial z_i}{\partial b_i}\), where \(q(t(z_i(b_i,b_j),z_j(b_i,b_j)))\). Therefore,

$$\begin{aligned} \frac{\partial q}{\partial b_i}=\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\frac{\partial z_i}{\partial b_i}+\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\frac{\partial z_j}{\partial b_i}, \end{aligned}$$

which simplifies further to \(\frac{\partial q}{\partial b_i}=\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\left( \frac{\partial z_i}{\partial b_i}+\frac{\partial z_j}{\partial b_i} \right)\). We also know that since \(t(Z)=t(z_i+z_j)\), then \(\frac{\partial t}{\partial z_i}=\frac{\partial t}{\partial z_j}\). Substituting this into \(MB_i\), we obtain

$$\begin{aligned} MB_i\equiv & {} \beta \left[ \frac{\partial z_i}{\partial b_i}-\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\left( \frac{\partial z_i}{\partial b_i}+\frac{\partial z_j}{\partial b_i} \right) +\frac{\partial z_j}{\partial b_i}-\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\left( \frac{\partial z_i}{\partial b_i}+\frac{\partial z_j}{\partial b_i} \right) \right] ,\\= & {} \beta \left[ \frac{\partial z_i +z_j}{\partial b_i}-2\frac{\partial q}{\partial t}\frac{\partial t}{\partial z_i}\left( \frac{\partial z_i+z_j}{\partial b_i} \right) \right] . \end{aligned}$$

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Strandholm, J.C., Espinola-Arredondo, A. & Munoz-Garcia, F. Green Alliances: Are They Beneficial when Regulated Firms are Asymmetric?. J Ind Compet Trade 22, 145–178 (2022). https://doi.org/10.1007/s10842-022-00384-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10842-022-00384-w

Keywords

JEL classification:

Navigation