Discrete Dynamics in Nature and Society

Volume 2019, Article ID 9231582, 8 pages

https://doi.org/10.1155/2019/9231582

## Price Discrimination in Dynamic Cournot Competition

College of Science, Guilin University of Technology, Guilin 541004, China

Correspondence should be addressed to Qi-Qing Song; moc.621@gniqiqgnos

Received 23 March 2019; Revised 29 May 2019; Accepted 9 June 2019; Published 25 June 2019

Academic Editor: Miguel Ángel López

Copyright © 2019 Wei-li Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

This paper introduces a new Cournot duopoly game and gives an applied study for price discrimination in a market by dynamic methods. One of two oligopolies has two different prices for a homogeneous product, while the other charges one kind of price. It is found that there is only one stable equilibrium for the discrete dynamic system, and a corresponding stable condition is given. Using a discriminative price is not always beneficial to a firm in equilibrium. If both oligopolies carry out price discrimination, the market’s average price is lower than when only one oligopoly does it. The results are verified by numerical simulations.

#### 1. Introduction

Cournot duopoly assumes that there are two oligopolists who compete in a market by offering a homogeneous commodity. This was introduced by Cournot [1] and has become a basic model in modern microeconomics and game theory. Cournot duopoly forms a dynamic as a consequence of oligopolists adjusting their strategies based on the result of the last period.

Since Cournot dynamic competition is related to the behavior of consumers, expectations of manufacturer demands, the number of oligopolists, and so on, there are extensive works from different points of view to study Cournot competition. For instance, see the complexity of solutions for Cournot duopoly [2–5] and Cournot games with three oligopolists [6], and see Cournot competition with incomplete information [7–9]. In [10, 11], Guirao and Rubio introduced Cournot-like models by generalizing Cournot duopoly to players. In another study, stability results were shown for the model with three and four players who competed with their neighbors [12]. For a dynamic duopoly game with heterogeneous expectations for players, stabilities were shown by Agiza and Elsadany [13, 14], Dubiel-Teleszynski [15], and Fanti [16]. Considering bounded rationality, Bischi and Naimzada [17] studied a dynamic duopoly game model where firms adjusted their outputs along the best response direction. Meanwhile, Elsadany gave the necessary and sufficient conditions of the stable region of the Cournot–Nash equilibrium based on relative profit maximization [18].

In a static situation, Hazledine extended the homogeneous product Cournot–Nash oligopoly model to allow for price discrimination [19], and further results were shown in [20]. Price discrimination is a widely observed phenomenon in a market. For the traditional classification of price discrimination, see the study by Pigou [21]. Typically, when the good or service does have a price tag, there are consumers who pay this amount and there are other consumers who pay less. For instance, passengers taking the same airline may have different ticket fees, and it is common that a person who books a ticket early will get a lower price. Hotels also charge different prices according to reservation times. Roughly, price discrimination implies that a service is sold at different prices to different groups according to their willingness to pay; i.e., to some extent, price discrimination is driven by heterogeneous consumers or consumers with different demand elasticities. In [19, 20], each airline segments the customers as groups and sells tickets to the group . The tickets for the fare class are sold at price , where is the number of seats sold at price . Following the same demand function, Kutlu gave an analysis of price discrimination in Stackelberg competition with two players [22], in which the leader only uses one kind of price and the follower executes different prices.

In addition, in [19], the average price is independent of the extent of price discrimination. It was generalized to a larger class of demand functions as by Kutlu [23] and to a situation with asymmetric costs by Mukherjee [24] and Bak and Klecz-Simon [25].

Noting that the current dynamic games have no consideration of price discrimination, in the present paper, we examine the equilibrium in a discrete dynamic Cournot game with price discrimination, where players adjust their strategies through local estimates of marginal profits. All equilibrium points of the dynamic system are unstable except for one Nash equilibrium. The sufficient condition to guarantee the local stability of the equilibrium is given. It is shown that, compared with a firm with only one kind of price, a firm does not necessarily benefit more from having two different prices. Numerical examples are presented.

The rest of this article is organized as follows. Section 2 presents the dynamic model with price discrimination. Section 3 investigates the property of all equilibrium points. Section 4 shows numerical simulation results to verify the main results in Section 3. Section 5 presents our conclusion and discussion.

#### 2. Dynamic Cournot Model with Price Discrimination

This section aims to establish a dynamic Cournot model with price discrimination. Suppose that there are two firms in a market and they sell a homogeneous product with a constant marginal cost . Firm divides the consumers into two groups, group 1 and group 2, corresponding to paying high prices and low prices for the product, respectively. Firm thinks that there is only one group and sells the good with a low price. The price function (inverse demand function) of the market is given as below:where denotes the price of the good for the group , indicates the sale quantity (strategy) of firm for group , and the inverse demand function coincides with that in [19, 20, 23] for two groups. It is clear that . In this situation, it can be assumed that firm 1 has price discrimination by setting a higher price for the same product. For the other situation, where firm sells the good with a high price, the corresponding price function isThen, firm 2 also has price discrimination. The corresponding results will be discussed in the last section of this paper. According to (1), the profits of firms 1 and 2, and , can be written as follows:and

The decision of each firm is made in discrete time. For any discrete adjustment process, the firm adjusts its strategy to in period from . We denote as the set . The micro-dynamic adjustment equation is given as follows:where represents the rate of adjustment and generally takes a number in the interval . Due to a myopic decision and bounded rationality, in each period, the firm adjusts its sale quantity along with the fastest direction for increasing its profit. The partial derivative, , in system (5) is written as follows:

To find the stationary points of system (5), let . Then, we haveThere are three cases for the solutions of (7).

*Case 1 ( for all ). *Clearly, the solution of (7) is .

*Case 2 ( and for all ). *We have It follows that the solution of (7) satisfies This is the static Nash equilibrium for the game of the two firms with strategies and . The profits of the two firms at the equilibrium areandThe average price of the market isThen, the market share of firm 1 is three times that of firm 2 at the equilibrium. Moreover, firm 1 benefits much more than firm 2 from selling the good with two different prices.

*Case 3 (others). *The solution of (7) consists of the following set: To analyze the stability of these stationary points, the following two lemmas are needed.

Lemma 1. *The spectral radius of a matrix is not greater than any norm of .*

Lemma 2 (see [26]). *Given a polynomial equation with variable , let and . If , then the equation has only real roots; if , then the equation has complex roots.*

#### 3. Main Results

##### 3.1. Jacobian Matrix of System (5) at Equilibrium Points

From Section 2, we know that the stationary points of system (5) are as follows: System (5) can be rewritten as follows:Then, the Jacobian matrix of system (15) is calculated as where , and are given below. and

It is known that if the modulus of all the eigenvalues of at a stationary (equilibrium) point of system (15) is less than 1, then the stationary point is locally asymptotically stable; if there exits an eigenvalue of at a stationary point such that its modulus is greater than 1, the point is unstable.

##### 3.2. Stability Results for Stationary Points

Theorem 3. *The stationary point of system (15) is unstable for each .*

*Proof. *(i) At the stationary point , the Jacobian matrix becomesClearly, three eigenvalues of are , and . Since , and , we have for each . Then, the point is unstable.

(ii) For the equilibrium point , the Jacobian matrix isThe determinant of the matrix ( is the identity matrix) follows with Three eigenvalues of are , and , with , and . The eigenvalues and are greater than 1. Hence, the equilibrium point is also unstable. Similarly, we can obtain unstable results for and .

(iii) at the equilibrium point becomes It is easy to check that one of the eigenvalues of is by noting that . Hence, the equilibrium point is also unstable. Similarly, we can get that is unstable.

(iv) at the point is The determinant of the matrix is Obviously, we can check that the three eigenvalues of are , and . Then, ; hence, is unstable.

From the above (i), (ii), (iii), and (iv), the equilibrium solutions are unstable for each . These complete the proof.

Theorem 4. *There exists such that the spectral radii of and satisfy if where , and with , , and .*

*Proof. *The Jacobian matrix at the stationary point is given below:The matrix norm of is written asThen, it holds that By Lemma 1, the spectral radius is not greater than the norm ; that is, . Hence, the modulus of each eigenvalue of is no more than .

Next, we check the eigenvalues of . Consider the determinant of the matrix , Let . Then, the polynomial eigenvalue of can be written as This is equivalent toFurthermore, the left-hand side of (31) is as follows:Let , , , and . Then, from (32), (31) can be written asThe next steps, (i) and (ii), show that the eigenvalues are not and .

(i) Suppose that ; i.e., . Equation (33) is This contradicts . Thus, .

(ii) Assuming that , we have . In this case, (33) isWhen , and take the value sufficiently near , the left-hand side of (35) is less than 1000. Therefore, there is a small enough (for instance, can take 1) such that the value on the left-hand side of (35) is smaller than 1000 if . This contradicts (35). Therefore, we have .

Let , , and . From Lemma 2, it can be deduced that when , (33) has only real roots. Noting (i) and (ii), we can conclude that for each , it holds that .

Noting that for any by the settings in Section 2, from the proof of Theorem 4, we can take in Theorem 4. Then, the following result related to the stability of the equilibrium point can be obtained.

Theorem 5. *The stationary point is locally asymptotically stable for system (15) if .*

#### 4. Numerical Simulations

From Theorem 4, there is a range for the adjustment rate that guarantees the stability of system (15) near the stationary point , where

Figure 1 shows the simulation result for the value of when . + symbols represent the cases for ; symbols denote cases for . It can be seen that when , there is . Then, there are many cases such that , which means that system (15) is locally asymptotically stable at stationary point for parameters with a large range of values.