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Quality, Shelf Life, and Demand Uncertainty

  • Anzhou Zhang EMAIL logo
Veröffentlicht/Copyright: 19. Juni 2023

Abstract

This paper studies a monopolist’s choices of quality and shelf life of a perishable good in the presence of demand uncertainty and sunk production cost. It shows that, in response to demand uncertainty, the firm typically produces multiple products which differ in quality and shelf life; under certain conditions, products with a longer shelf life are of lower quality; a probability distribution of demand which first-order (second-order) stochastically dominates another induces more (more or fewer) product varieties. It also provides conditions under which a higher quality product has a higher absolute profit margin but a lower percentage margin.

JEL Classification: D21; L12; L23

Corresponding author: Anzhou Zhang, Li Anmin Institute of Economic Research, Faculty of Economics, Liaoning University, 66 Middle Chongshan Road, Shenyang, 110036, China, E-mail:

Appendix

Proof of Proposition 1

The proof of part (1) is as follows. Consider the maximization problem (2). For the case of corner solution q = 0, the product is not produced. Thus, we consider the case where q > 0. The first order conditions with respect to q and T are

(10) F ( q , T , p ) v ( q ) p 1 ( δ ( 1 p ) ) T 1 δ ( 1 p ) c q ( q , T ) = 0 ;

(11) G ( q , T , p ) v ( q ) p 1 1 δ ( 1 p ) ( δ ( 1 p ) ) T ln ( δ ( 1 p ) ) c T ( q , T ) 0 .

where (11) holds with inequality only if the corner solution T = 1 occurs.

Differentiating (10) with respect to p yields

(12) F q d q d p + F T d T d p + F p = 0 .

I next show, evaluated at the optimal solution, F p > 0 , F q < 0 and F T < 0 .

By (10),

F p = v ( q ) ( 1 ( δ ( 1 p ) ) T ) ( 1 δ ) + p δ T T ( 1 p ) T 1 ( 1 δ ( 1 p ) ) ( 1 δ ( 1 p ) ) 2 .

Because v′(q) > 0, 0 < δ < 1, 0 ≤ p ≤ 1, and T ≥ 1, F p > 0 .

By (10) again,

(13) F q = v ( q ) p 1 ( δ ( 1 p ) ) T 1 δ ( 1 p ) c q q ( q , T ) ,

Because v′′(q) < 0 and c q q ( q , T ) 0 , F q < 0 .

Because v′′(q) < 0 and v(0) = 0,

(14) v ( q ) = 0 q v ( x ) d x > v ( q ) q .

Similarly, because c Tqq ( q , T ) 0 and c T ( 0 , T ) = 0 ,

(15) c T ( q , T ) = 0 q c T x ( x , T ) d x c T q ( q , T ) q .

By (11), (14) and (15),

(16) v ( q ) p 1 1 δ ( 1 p ) ( δ ( 1 p ) ) T ln ( δ ( 1 p ) ) c q T ( q , T ) < 0 .

Note that the left side of (16) is the partial derivative of F with respect to T. Thus, F T < 0 .

By (12), if d T d p 0 , d q d p > 0 . This completes the proof of part (1).

The proof of part (2) is as follows. The interior solution to the maximization problem (2) satisfies the first order conditions

(17) F ( q , T , p ) = 0 ;

(18) G ( q , T , p ) = 0 .

Furthermore, by the second order condition, ∀p, the matrix

(19) H = F q ( q , T , p ) F T ( q , T , p ) G q ( q , T , p ) G T ( q , T , p ) ,

evaluated at the interior solution, is negative semi-definite. Hence, its determinant is non-negative, i.e. det H ≥ 0.

By the Implicit Function Theorem, if the determinant of the matrix

(20) I = F q ( q , T , p ) F p ( q , T , p ) G q ( q , T , p ) G p ( q , T , p ) ,

evaluated at the interior solution, is not zero, i.e. det I ≠ 0, then

(21) d p d T = det H det I .

Because det H ≥ 0, to determine the sign of d p d T , we need study the sign of det I. By the proof of part (1), F q ( q , T , p ) < 0 , G q ( q , T , p ) < 0 (see (16)), and F p ( q , T , p ) > 0 . I next study the sign of G p ( q , T , p ) .

By (11), it can be verified that

(22) G p ( q , T , p ) = v ( q ) δ T y T 1 T ( T + 1 ) y ( T 1 ) δ y + T δ y 2 × ln ( δ y ) + ( 1 y ) ( 1 δ y ) = v ( q ) δ T y T 1 ( 1 y ) ( 1 δ y ) T ( 1 δ ) y ( 1 y ) ( 1 δ y ) ln ( δ y ) + 1 ,

where y ≡ (1 − p).

It can be verified that for y 1 2 , T ( 1 δ ) y ( 1 y ) ( 1 δ y ) > 0 and T ( 1 δ ) y ( 1 y ) ( 1 δ y ) ln ( δ y ) increases in y. Because as y → 0, T ( 1 δ ) y ( 1 y ) ( 1 δ y ) ln ( δ y ) , then there exists y* such that if yy*,

T ( 1 δ ) y ( 1 y ) ( 1 δ y ) ln ( δ y ) 1 ,

and thus G p ( q , T , p ) 0 . Because y = 1 − p, there exists p*(≡ 1 − y*), such that if pp*, G p ( q , T , p ) 0 and det I > 0. By (21), d p d T 0 . That is, T decreases in p.

For some p, the corner solution T = 1 may occur, the optimal shelf life T in this case is constant in p. Therefore, for pp*, T decreases or non-increases in p. By part (1) of Proposition 1, the optimal quality increases in p. Thus, quality is negatively correlated with shelf life. □

Proof of Proposition 2

The proof of part (1) is as follows. Let n denote the quantity of products the firm provides for a period. First, I show if v ( 0 ) i = j m p i > c q ( 0,1 ) , the firm provides no less than n j units, i.e. nn j .

Suppose n j−1n < n j . Consider producing one more unit with quality q > 0 and shelf life T = 1. The (n + 1)th product yields an expected profit

π ( q ) = v ( q ) i = j m p i c ( q , 1 ) .

Because v ( 0 ) i = j m p i > c q ( 0,1 ) , there exists q* > 0 such that

v ( q * ) i = j m p i > c q ( q * , 1 ) .

Because v(0) = 0, v′′(q) < 0, c(0, 1) = 0, and c q q ( q , T ) 0 , ∀q > 0, T > 0, then

v ( q * ) = 0 q * v ( q ) d q > v ( q * ) q * ,

and

c ( q * , 1 ) = 0 q * c q ( q , 1 ) d q c q ( q * , 1 ) q * .

Therefore,

v ( q * ) i = j m p i > v ( q * ) q * i = j m p i > c q ( q * , 1 ) q * c ( q * , 1 ) .

Thus, π(q*) > 0. That is, producing one more unit with q = q* and T = 1 is profitable. Hence, n j−1n < n j is impossible. By similar reasoning, it can be verified that n < n j−1 is also impossible. Therefore, nn j .

Next I show if v ( 0 ) i = j + 1 m p i c q ( 0,1 ) , the firm provides no more than n j units, i.e. nn j .

Suppose n j < nn j+1. There must be nn j units which have the same probability i = j + 1 m p i of being sold in a period. Suppose the optimal quality and shelf life for these units are q ̃ > 0 and T ̃ 1 . Then the expected profit of one unit of these products is

(23) π ( q ̃ , T ̃ ) = v ( q ̃ ) t = 1 T ̃ δ t 1 1 i = j + 1 m p i t 1 i = j + 1 m p i c ( q ̃ , T ̃ ) = v ( q ̃ ) i = j + 1 m p i 1 δ T ̃ 1 i = j + 1 m p i T ̃ 1 δ 1 i = j + 1 m p i c ( q ̃ , T ̃ ) = v ( q ̃ ) J ( T ̃ ) c ( q ̃ , T ̃ ) ,

where J ( T ̃ ) i = j + 1 m p i 1 δ T ̃ 1 i = j + 1 m p i T ̃ 1 δ 1 i = j + 1 m p i .

Because v′′(q) < 0 and c q q ( q , T ) 0 , ∀q > 0, T > 0,

v ( q ̃ ) = 0 q ̃ v ( q ) d q < v ( 0 ) q ̃ ,

and

c ( q ̃ , 1 ) = 0 q ̃ c q ( q , 1 ) d q c q ( 0,1 ) q ̃ .

Because v ( 0 ) i = j + 1 m p i c q ( 0,1 ) ,

(24) v ( q ̃ ) i = j + 1 m p i < v ( 0 ) q ̃ i = j + 1 m p i c q ( 0,1 ) q ̃ c ( q ̃ , 1 ) .

It can be verified that J′′(T) < 0, ∀T ≥ 0. Thus,

(25) i = j + 1 m p i J ( 1 ) = 0 1 J ( T ) d T > J ( 1 ) .

Similarly, because c T T ( q , T ) 0 , ∀q > 0, T > 0,

(26) c ( q ̃ , 1 ) = 0 1 c T ( q ̃ , T ) d T c T ( q ̃ , 1 ) .

By (24), (25) and (26),

(27) v ( q ̃ ) J ( 1 ) < c T ( q ̃ , 1 ) .

Because J′′(T) < 0, c T T ( q , T ) 0 again,

(28) v ( q ̃ ) J ( T ̃ ) < v ( q ̃ ) ( J ( 1 ) + J ( 1 ) ( T ̃ 1 ) ) ;

(29) c ( q ̃ , T ̃ ) c ( q ̃ , 1 ) + c T ( q ̃ , 1 ) ( T ̃ 1 ) .

By (24) and (27), the right side of (28) is less than that of (29). Thus,

v ( q ̃ ) J ( T ̃ ) < c ( q ̃ , T ̃ ) .

That is, π ( q ̃ , T ̃ ) < 0 . Hence, n j < nn j+1 is impossible. By similar reasoning, n > n j+1 is also impossible. Thus, nn j .

Therefore, n = n j . Because n j < n m , the market is partially covered.

If n = n j , the firm will divide the n j units into j groups. Each group has a different probability of being sold in a period from another. The products between groups are thus different. Otherwise, (10) will be violated. Hence, the number of varieties is j. This completes the proof of part (1).

Analogous to the proof of part (1), it can be verified that if v ( 0 ) p m > c q ( 0,1 ) , the firm provides no less than n m units. Because n m is the potential market size, the firm won’t provide more than n m units. Hence, n = n m and the number of varieties is m. The market is fully covered.

If v ( 0 ) i = 1 m p i c q ( 0,1 ) , the firm provides no more than n 0 units. Because n 0 = 0, the firm produces nothing and the market completely collapses. □

Proof of Proposition 3

Suppose under L ̃ , the firm provides n j > 0 units of products in a period, then

(30) v ( 0 ) i = j m p i ̃ > c q ( 0,1 ) .

Otherwise, if v ( 0 ) i = j m p i ̃ c q ( 0,1 ) , by the Proof of Proposition 2, the firm provides at most n j−1 units in a period.

Because L first-order stochastically dominates L ̃ ,

(31) i = j m p i i = j m p i ̃ , j { 1,2 , , m } .

Thus,

(32) v ( 0 ) i = j m p i > c q ( 0,1 ) .

By the Proof of Proposition 2 again, (32) implies the quantity of products the firm provides in a period under L is no less than n j . Hence, the number of product varieties under L is no less than that under L ̃ . □

Proof of Proposition 4

The proof of part (1) is as follows. Let F(⋅) and F ̃ ( ) be the respective cumulative distribution functions of L and L ̃ . F(⋅) is the same as (1). F ̃ ( ) is obtained by replacing p j in (1) with p ̃ j . Because L second-order stochastically dominates L ̃ , for all xn 0,

n 0 x F ( t ) d t n 0 x F ̃ ( t ) d t .

Then it can be verified that, for all k ∈ {0, 1, …, m − 1},

(33) j = 0 k i = 0 j p i n j + 1 n j j = 0 k i = 0 j p ̃ i ( n j + 1 n j ) .

I now show

(34) j = 0 m 1 i = 0 j p i ( n j + 1 n j ) = j = 0 m 1 i = 0 j p ̃ i ( n j + 1 n j ) .

It can be verified that the left side of (34) is equal to n m i = 0 m p i n i and the right side is equal to n m i = 0 m p ̃ i n i . Because the two distributions have the same mean, i = 0 m p i n i = i = 0 m p ̃ i n i . Therefore, (34) holds.

I next show i = 0 m 1 p i i = 0 m 1 p ̃ i . Otherwise, if i = 0 m 1 p i < i = 0 m 1 p ̃ i , then

(35) i = 0 m 1 p i ( n m n m 1 ) < i = 0 m 1 p ̃ i n m n m 1 .

By (34) and (35),

(36) j = 0 m 2 i = 0 j p i ( n j + 1 n j ) > j = 0 m 2 i = 0 j p ̃ i ( n j + 1 n j ) .

This contradicts (33). Therefore, i = 0 m 1 p i i = 0 m 1 p ̃ i . Because i = 0 m p i = i = 0 m p ̃ i = 1 , p m p ̃ m .

If L induces full coverage of the market, by Proposition 2, v ( 0 ) p m > c q ( 0,1 ) . Then, v ( 0 ) p ̃ m > c q ( 0,1 ) . By Proposition 2 again, the market is also fully covered under L ̃ .

If the market completely collapses under L, by Proposition 2, v ( 0 ) ( 1 p 0 ) c q ( 0,1 ) . By (33),

p 0 ( n 1 n 0 ) p ̃ 0 ( n 1 n 0 ) .

Thus, p 0 p ̃ 0 . Then v ( 0 ) ( 1 p ̃ 0 ) c q ( 0,1 ) . By Proposition 2 again, the market completely collapses under L ̃ .

The proof of part (2) is as follows. Suppose it is optimal for the firm to provide n j units for a period under L, for any j ∈ {1, 2, …, m − 1}. By Proposition 2, v ( 0 ) i = j m p i > c q ( 0,1 ) . If i = j m p ̃ i i = j m p i , then v ( 0 ) i = j m p ̃ i > c q ( 0,1 ) and the firm thus provides no less than n j units for a period under L ̃ . If i = j m p ̃ i < i = j m p i and v ( 0 ) i = j m p ̃ i c q ( 0,1 ) , the firm provides less than n j units for a period under L ̃ . Both cases are possible, if L second-order stochastically dominates L ̃ . □

Proof of Proposition 5

By part (1) of Proposition 2, if v ( 0 ) i = j m p i > c q ( 0,1 ) and v ( 0 ) i = j + 1 m p i c q ( 0,1 ) , the firm provides n j units in a period. For all k ∈ {1, 2, …, j}, n k n k−1 units of them will be sold with a probability of P ( k ) = i = k m p i in a period. I next show all of these n j units have the same optimal shelf life T = 1.

Consider the n k n k−1 units which will be sold with a probability of P(k) in a period, ∀k ∈ {1, 2, …, j}. Let the optimal quality for these units is q k > 0. Because v′′(q) < 0 and c Tqq ( q , T ) 0 , then v(q k ) < v′(0)q k and c T ( q k , 1 ) c q T ( 0,1 ) q k . Because ln(δ(1 − P(k))) < 0, and

v ( 0 ) P ( k ) δ ( 1 P ( k ) ) 1 δ ( 1 P ( k ) ) ln ( δ ( 1 P ( k ) ) ) c q T ( 0,1 ) ,

then

v ( q k ) P ( k ) δ ( 1 P ( k ) ) 1 δ ( 1 P ( k ) ) ln ( δ ( 1 P ( k ) ) ) < c T ( q k , 1 ) .

Because c T T ( q , T ) 0 , c T ( q k , 1 ) c T ( q k , T ) . Hence, ∀T ≥ 1,

v ( q k ) P ( k ) ( δ ( 1 P ( k ) ) ) T 1 δ ( 1 P ( k ) ) ln ( δ ( 1 P ( k ) ) ) c T ( q k , T ) < 0 .

Therefore, the optimal shelf life for these units is the corner solution T = 1.

By the first order condition of the firm’s maximization problem with respect to q (see (10)),

v ( q k ) P ( k ) c q ( q k , 1 ) = 0 , k { 1,2 , , j } .

Because P(1) > P(2) > ⋯ > P(j), v′′(q) < 0, and c q q ( q , T ) 0 , ∀q > 0, T > 0, then

q 1 > q 2 > > q j .

That is, there are j different quality levels. □

Proof of Proposition 6

Consider two products which have the same shelf life T* but different quality levels q 1 and q 2, where q 1 > q 2 > 0. Denote their respective absolute profit margins by AM 1 and AM 2. Then,

A M 1 A M 2 = v ( q 1 ) c q 1 , T * v ( q 2 ) c q 2 , T * = v ( q 1 ) v ( q 2 ) c q 1 , T * c q 2 , T * = q 2 q 1 v ( q ) d q q 2 q 1 c q ( q , T * ) d q = q 2 q 1 v ( q ) c q ( q , T * ) d q .

By (10), v ( q 1 ) c q q 1 , T * > 0 . Because v′′(q) < 0 and c q q ( q , T ) 0 q > 0 , T > 0 , then for all q < q 1, v ( q ) c q ( q , T * ) > 0 . Hence, q 2 q 1 v ( q ) c q ( q , T * ) d q > 0 , that is, AM 1 > AM 2. Thus, a higher quality product has a higher absolute profit margin.

Denote the two products’ respective percentage margins by PM 1 and PM 2. Then,

P M 1 P M 2 = v ( q 1 ) c q 1 , T * c q 1 , T * v ( q 2 ) c q 2 , T * c q 2 , T * = v ( q 1 ) c q 1 , T * v ( q 2 ) c q 2 , T * .

Consider the function K ( q ) v ( q ) c ( q , T * ) .

(37) K ( q ) = v ( q ) c ( q , T * ) v ( q ) c q ( q , T * ) c 2 ( q , T * ) = v ( q ) q c ( q , T * ) v ( q ) c q ( q , T * ) q c 2 ( q , T * ) .

Because v′′(q) < 0 and c q q ( q , T ) 0 , ∀q > 0, T > 0, then v(q) > v′(q)q and c ( q , T * ) c q ( q , T * ) q , ∀q > 0. By (37), K′(q) < 0. Therefore, PM 1 < PM 2, that is, a higher quality product has a lower percentage margin. □

Proof of Proposition 7

The proof of part (1) is as follows. The incentive compatibility implies

(38) θ h v ( q ̲ h ) F ̲ h θ h v ( q ̄ l ) F ̄ l > 0 ,

and

(39) θ l v ( q ̄ l ) F ̄ l θ l v ( q ̲ h ) F ̲ h .

By (38),

F ̲ h F ̄ l θ h v ( q ̲ h ) θ h v ( q ̄ l ) .

By (39),

F ̲ h F ̄ l θ l v ( q ̲ h ) θ l v ( q ̄ l ) .

Hence,

θ h v ( q ̲ h ) θ h v ( q ̄ l ) θ l v ( q ̲ h ) θ l v ( q ̄ l ) .

Because θ h > θ l > 0, q ̲ h q ̄ l .

The proof of part (2) is as follows. First, I show the incentive compatibility constraint (6) is nonbinding for all q l < q l ̄ . Because in equilibrium each consumer is indifferent among the products intended for his type, then for all q l Q l and the associated F l ,

θ l v ( q ̄ l ) F ̄ l = θ l v ( q l ) F l .

Because θ h > θ l > 0,

θ h v ( q ̄ l ) F ̄ l > θ h v ( q l ) F l , q l < q l ̄ .

The incentive compatibility implies, for all q h Q h and the associated F h ,

θ h v ( q h ) F h θ h v ( q ̄ l ) F ̄ l .

Thus, for all q l < q l ̄ ,

θ h v ( q h ) F h > θ h v ( q l ) F l .

Analogously, it can be verified that the incentive compatibility constraint (7) is nonbinding for all q h > q h ̲ .

Next consider the incentive compatibility constraints (38) and (39). I first show (38) is binding. Suppose (38) is nonbinding, then the firm can increase its profit by raising F ̲ h (and all other F h as well) slightly while still keeping (38), (39) and all other incentive compatibility constraints valid. Thus, (38) is binding, namely,

θ h v ( q ̲ h ) F ̲ h = θ h v ( q ̄ l ) F ̄ l .

If q ̲ h = q ̄ l , F ̲ h = F ̄ l . Thus, (39) is also binding.

If q ̲ h > q ̄ l , (39) is nonbinding. The reason is as follows. Suppose (39) is binding, then θ l v ( q ̄ l ) F ̄ l = θ l v ( q ̲ h ) F ̲ h . Because θ h > θ l > 0, and q ̲ h > q ̄ l ,

θ h v ( q ̲ h ) F ̲ h > θ h v ( q ̄ l ) F ̄ l > 0 .

That is, (38) is nonbinding. This is a contradiction.

Because in equilibrium each consumer is indifferent among the products intended for his type, then if q ̲ h = q ̄ l , (8) and (9) are binding; if q ̲ h > q ̄ l , only (8) is binding. □

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Received: 2023-02-28
Accepted: 2023-05-14
Published Online: 2023-06-19

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Heruntergeladen am 23.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/bejte-2023-0013/html?lang=de
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