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This study examines the determinants of Merger and Acquisition (M & A) when manufacturing firms integrate with retailing firms. We examine a manufacturing duopoly in which each upstream firm sells the output to its exclusive retailing firm. In sequence of the timing of game, the strategic variables are set as Research and Development (R & D) investment, wholesale price by manufacturing firms and sales volume by retailing firms. The study concludes that degree of investment efficiency, product differentiation, and market size play important roles in vertical integration. Our conclusion shows that if product differentiation becomes greater, the vertical integration increases. Secondly, if the market size becomes larger, the vertical integration increases. Thirdly, the vertical integration increases when investment efficiency becomes higher. Our theoretical findings are also supported by the empirical results with the listed Japanese company data from 1996 to 2016.

The issue on the boundaries of firm has long been a discussed subject since originated by Coase [^{1}. Strategic behavior in successive oligopoly is an important area in industrial organization. Many literatures have focused on the boundaries of firm in a homogenous successive oligopoly^{2}. However, there is a lack of studies that apply both theoretical and empirical analysis in vertical integration, which focuses on manufacturing and retailing firms. Thus, this paper examines the determinants of vertical integration in manufacturing and retailing industries. There is a growing trend of M & A cases among various industries in Japan over the past years. As an example, ASICS Holdings, a major sport manufacturing firm, integrated with ASICS Sales, a retailing firm, in 2015. Another example is that Tokyo Shirt, a retailing firm of men shirt, was taken over by Nisshinbo Textile, a manufacturing firm in textile industry, in 2015.

Theoretical analyses on whether firms integrate or separate have followed two streams. One stream focuses on a single channel. It is associated with the influence costs within firms and transaction costs across firms^{3}. Based on the first stream, the amount of influence costs within firms and transaction costs across firms affect the make-or-buy decision in a single channel. Grossman and Hart [^{4}. Bonanno and Vickers [^{5}. The empirical analyses follow two separate streams. One stream focuses on the determinants of M & A, such as financial synergies, market power, access to distribution channel, and entry into a new market. The other stream focuses on the effects of M & A on performance of firms. This paper follows the first stream by examining the important determinants of M & A when upstream firms integrate with downstream firms. There are closely related literatures relevant to this study. Hasbrouck [

This study examines the determinants of M & A when manufacturing firms integrate with retailing firms. We examine a manufacturing duopoly in which each upstream firm sells the output to its exclusive retailing firm. In sequence of the timing of game, the strategic variables are set as R & D investment, wholesale price by manufacturing firms and sales volume by retailing firms. The study concludes that the degree of product differentiation, market size and investment efficiency are important determinants in integration. Our conclusion shows that if product differentiation become greater, the vertical integration increases. Secondly, if the market size becomes larger, the vertical integration increases. Thirdly, the integration increases when investment efficiency becomes higher. Our theoretical findings are also supported by the empirical results with the listed Japanese company data from 1996 to 2016.

Precious literature mainly deals with determinants of horizontal integration. There are few empirical analysis on vertical integration. Based on author’s knowledge, there is no discussion of empirical analysis on vertical integrationin a manufacturing and retailing relationship. This paper examines the determinants of vertical integration that focuses on manufacturing and retailing industries. Therefore, the paper bridges the gap of the issue of vertical integration.

This paper is organized as follows. Section 2 sets up the model. Section 3 analyses the three sub-games and theoretical results. Section 4 estimates three hypotheses based on the theoretical results. Finally, section 5 makes the conclusion.

Consider a manufacturing duopoly in which each upstream firm sells its product to its exclusive downstream firm. The products are differentiated, and the degree of product differentiation is exogenous. The demand function is:

p i = a − q i − d q j , a > 0 and d ∈ ( 0 , 1 ) , i , j = 1 , 2 ; i ≠ j , (1)

where p_{i} is the price and q_{i} and q_{j} are, respectively, the quantities for product i and j. The parameter d of the demand function measures the degree of product differentiation. As it approaches one, the products become less differentiated, and as it approaches zero, the products become more differentiated. The upstream firms initially possess the same constant marginal cost c( c − x i by spending V ( x i ) on R & D investments. It is common assumed that R & D investments are diminishing returns and that the R & D cost function is quadratic. For simplicity, we assume

that V ( x i ) = t x i 2 2 , where the parameter t > 0 represents the degree of R & D

investments efficiency. For simplicity, one unit of the final product needs exactly one unit of the input and the cost of transforming the input into the final product is normalized to zero. For simplicity, we set the following assumption in order to guarantee that all possible variables are positive in equilibrium. Specifically, this assumption takes the following form:

k ( = c a ) > ( 8 − d 2 ) [ ( 2 − d ) ( 4 + d ) t − 2 ] 2 t [ 4 ( 4 − d 2 ) 2 t − ( 16 + 8 d − 4 d 2 − d 3 ) ] . (2)

We posit a four-stage game. At stage 1, each upstream firm simultaneously chooses whether to integrate forward by acquiring its downstream firm at fixed costs F or not. At stage 2, each upstream firm simultaneously sets the R & D investments level ( x i , x j ) . At stage 3, if any upstream firms decide to separate its downstream firm, at stage 1, they choose the wholesale prices ( w i , w j ) . Finally, at stage 4, downstream firms compete a la Cournot fashion ( q i , q j ) (

In this section, we examine three sub-games: integration, separation, and asymmetric case. We solve a subgame perfect Nash equilibrium (SPNE) through backward induction.

We consider the case in which each upstream firm integrates its downstream firm. At stage 4, firm i chooses the output q_{i}, so as to maximize its profit for given rival firm’s output q_{j} and R & D investments levels ( x i , x j ) . It’s maximization problem is as follows:

max Π i = ( p i − c i ) q i − t x i 2 2 − F = ( a − q i − d q j − c i ) q i − t x i 2 2 − F , w . r . t . q i ,

where F is the costs of integration.

Differentiating the maximization problem with respect to q_{i} and solving the two reaction functions, we obtain the equilibrium quantities ( q i , q j ) as follows:

q i ( c i , c j ) = ( 2 − d ) a − 2 c i + d c j 4 − d 2 , i , j = 1 , 2 ; i ≠ j . (3)

At stage 2, firm i chooses its R & D investments level x_{i} so as to maximize its profit for a given rival firm’s R & D investments level x_{j}. It’s maximization problem is as follows:

max Π i ( x i , x j ) = ( p i − c i ) q i − t x i 2 2 − F = [ ( 2 − d ) a − 2 ( c − x i ) + d ( c − x j ) ] 2 ( 4 − d 2 ) 2 − t x i 2 2 − F , w . r . t . x i

Differentiating the maximization problem with respect to x_{i} and solving the two reaction functions, we obtain the equilibrium R & D investments levels ( x i , x j ) as follows:

x i I I = 4 ( a − c ) ( 2 − d ) ( 2 + d ) 2 t − 4 , (4-1)

where the superscript “II” denotes the case that both upstream firms choose the integration. The first and second superscript, respectively, denote the channel selection chosen by upstream firm i and j. Finally, we obtain the equilibrium quantities, prices, and profits as follows:

q i I I = q j I I = ( 4 − d 2 ) t ( a − c ) ( 2 − d ) ( 2 + d ) 2 t − 4 , (4-2)

p i I I = p j I I = c + ( 4 − d 2 ) t − 4 ( 2 − d ) ( 2 + d ) 2 t − 4 , (4-3)

Π i I I = Π j I I = [ ( 4 − d 2 ) 2 − 8 ] t ( a − c ) 2 [ ( 2 − d ) ( 2 + d ) 2 t − 4 ] 2 – F . (4-4)

We examine the case in which each upstream firm sells its product to its own downstream firm. At stage 4, downstream firm i sets its quantities q_{i} so as to maximize its profits for given rival’s quantities q_{j}, wholesale prices ( w i , w j ) , and R & D investments levels ( x i , x j ) . Its maximization problem is as follows:

max π i = ( p i − w i ) q i = ( a − q i − d q j − w i ) q i , w . r . t . q i .

Differentiating the maximization problem with respect to q_{i} and solving the two reaction functions, we obtain the equilibrium quantities ( q i , q j ) as follows:

q i ( w i , w j ) = ( 2 − d ) a − 2 w i + d w j 4 − d 2 , i , j = 1 , 2 ; i ≠ j . (5)

At stage 3, upstream firm i chooses the wholesale price w_{i} so as to maximize its profits for given rival’s wholesale price w_{j} and R & D investments levels ( x i , x j ) . Therefore, its maximization problem is as follows:

max Π i = ( w i − c i ) q i − t x i 2 2 , w . r . t . w i .

Differentiating the maximization problem with respect to w_{j} and solving the two reaction functions, we obtain the equilibrium wholesale prices ( w i , w j ) as follows:

w i ( c i , c j ) = ( 4 + d ) ( 2 − d ) a + 8 c i + 2 d c j ( 4 + d ) ( 4 − d ) , i , j = 1 , 2 ; i ≠ j . (6)

At stage 2, upstream firm i chooses the R & D investment levels x_{i}, so as to maximize its profits for a given rival’s R & D investment levels x_{j} as follows:

max Π i ( x i , x j ) = ( w i − c + x i ) q i − t x i 2 2 , w . r . t . x i .

Differentiating the maximization problem with respect to x_{i} and solving the two reaction functions, we obtain the equilibrium R & D investments levels as follows:

x i S S = 4 ( 8 − d ) 2 ( a − c ) ( 2 + d ) ( 4 + d ) ( 4 − d ) 2 t − 4 ( 8 − d 2 ) , (7-1)

where the superscript “SS” denotes the case that each upstream firm separates its downstream firm. The first and second superscript, respectively, denote the channel selection chosen by upstream firm i and j.

Finally, the equilibrium wholesale prices, quantities, prices, downstream and upstream firm’s profits are as follows:

w i S S = w j S S = c + [ ( 64 − 16 d 2 + d 4 ) t − 4 ( 8 − d 2 ) ] ( a − c ) ( 2 + d ) ( 4 + d ) ( 4 − d ) 2 t − 4 ( 8 − d 2 ) , (7-2)

q i S S = q j S S = [ 2 ( 16 − d 2 ) t ] ( a − c ) ( 2 + d ) ( 4 + d ) ( 4 − d ) 2 t − 4 ( 8 − d 2 ) , (7-3)

p i S S = p j S S = c + [ ( 96 − 22 d 2 + d 4 ) t − 4 ( 8 − d 2 ) ] ( a − c ) ( 2 + d ) ( 4 + d ) ( 4 − d ) 2 t − 4 ( 8 − d 2 ) , (7-4)

Π i S S = Π j S S = 2 t [ ( 4 − d 2 ) ( 16 − d 2 ) 2 t − 4 ( 8 − d 2 ) 2 ] ( a − c ) 2 [ ( 2 + d ) ( 4 + d ) ( 4 − d ) 2 t − 4 ( 8 − d 2 ) ] 2 . (7-5)

Firstly, we focus on R & D investment levels under vertical integration and separation. Comparing Equation (4-1) and Equation (7-1), we obtain the following results:

x i I I − x i S S = 4 ( 64 + 10 d 3 − d 4 − d 5 ) ( a − c ) [ ( 2 − d ) ( 2 + d ) 2 t − 4 ] [ ( 2 + d ) ( 4 + d ) ( 4 − d ) 2 t − 4 ( 8 − d 2 ) ] > 0. (8)

Therefore, we summarize the result in Lemma 1.

Lemma 1 Under Equation (2-1) and Equation (2-2), R & D investments levels are larger under vertical integration than under vertical separation.

Secondly, we focus on upstream firms’ profits under vertical integration and separation. Comparing Equation (4-4) and Equation (7-5), we obtain the following results:

Π i I I > = < Π i S S ⇔ F ( a − c ) 2 < = > t [ ( 4 − d 2 ) 2 t − 8 { ( 2 − d ) ( 2 + d ) 2 t − 4 } 2 − ( 4 − d ) ( 16 − d 2 ) 2 t − 4 ( 8 − d 2 ) 2 { ( 4 + d ) ( 2 + d ) ( 4 − d ) 2 t − 4 ( 8 − d 2 ) } 2 ] ≡ F * . (8)

Therefore, we summarize the results in Lemma 2.

Lemma 2 Under Equation (2-1) and Equation (2-2), when F ( a − c ) 2 ≤ F * , the

upstream firms’ profits are larger under vertical integration than under vertical separation.

The intuition behind Lemma 2 can be explained as follows. Vertical integration has the advantage of eliminating double margin distortion, but has the disadvantage of paying integration costs. On the other hand, vertical separation has the advantage of no integration costs, but has the disadvantage of double margin distortion. Equation (9) has two implications. Firstly, F^{*} is decreasing in d. It implies that when d approaches 0, double margin distortion becomes greater. Therefore, each upstream firm has to pay a larger integration costs when both products are more differentiated. Secondly, the denominator of the left-hand side, ( a − c ) 2 implies the market size. The larger the market size is, the higher integration costs upstream firms pay. In other words, when the market size becomes larger, each upstream firm is liable to integrate its downstream firm.

Next, we focus on the relationship between upstream firms’ profits and product differentiation. Differentiating Equation (4-4) with respect to d, we obtain the following results:

∂ Π I I ∂ d = − 2 ( a − c ) 2 t 2 [ ( 4 − d 3 ) 3 t − 8 ( 1 − d ) ( 2 + d ) 2 ] [ ( 2 − d ) ( 2 + d ) 2 t − 4 ] 3 < 0. (10-1)

Therefore, we summarize the results in Lemma 3.

Lemma 3 Under Equation (2-1) and Equation (2-2), the upstream firms’ profits under vertical integration are larger when both products are more differentiated.

We also focus on the relationship between upstream firms’ profits and investment efficiency. Differentiating Equation (4-4) with respect to t, we obtain the following results:

∂ Π I I ∂ t = − 8 ( a − c ) 2 [ ( 2 − d ) ( 1 − d ) ( 2 + d ) 2 t − 4 ] [ ( 2 − d ) ( 2 + d ) 2 t − 4 ] 3 < 0. (10-2)

Therefore, we summarize the results in Lemma 4.

Lemma 4 Under Equation (2-1) and Equation (2-2), the upstream firms will adopt the integration when investment efficiency is higher.

Finally, we turn to the asymmetric case in which upstream firm i integrates its downstream firm, while upstream firm j sells its product through its exclusive downstream firm. At stage 4, integrated firm i chooses its output so as to maximize its profits, while downstream firm j sets its output so as to maximize its profits. The maximization problems are, respectively, given as follows:

max Π i = ( p i − c i ) q i − t x i 2 2 − F = ( a − q i − d q j − c i ) q i − t x i 2 2 − F , w . r . t . q i ,

max π j = ( p j − w j ) q j = ( a − q j − d q i − w j ) q j , w . r . t . q j .

Note that the marginal costs of integrated firm i and downstream firm j are, respectively, c_{i} and w_{j}.

Differentiating the maximization problems with respect to q_{i} and q_{j} and solving the two reaction functions, we obtain the equilibrium quantities as follows:

q i ( c i , w j ) = ( 2 − d ) a − 2 c i + d w j 4 − d 2 , (11-1)

q j ( c i , w j ) = ( 2 − d ) a + d c i − 2 w j 4 − d 2 . (11-2)

At stage 3, upstream firm j chooses the wholesale price w_{j} in order to maximize its profits. Its maximization problem is as follows:

max Π j = ( w j − c j ) q j − t x j 2 2 , w . r . t . w j .

From the F. O. C., we obtain the equilibrium wholesale price as follows:

w j ( c i , c j ) = ( 2 − d ) a + d c i + 2 c j 4 . (12)

At stage 2, integrated firm i sets the R & D investment levels x_{i} so as to maximize its profits for given rival’s R & D investment levels x_{j}. Its maximization problem is as follows:

max Π i = ( p i − c i ) q i − t x i 2 2 − F = [ ( 2 − d ) ( 4 + d ) a − ( 8 − d 2 ) c i + 2 d c j ] 2 [ 4 ( 4 − d 2 ) ] 2 − t x i 2 2 − F , w . r . t . x i .

On the other hand, upstream firm j sets the R & D investment levels x_{j} so as to maximize its profits for given rival’s R & D investment levels x_{i}. Its maximization problem is as follows:

max Π j = ( w j − c j ) q j − t x j 2 2 = [ ( 2 − d ) a + d c i − 2 c j ] 2 8 ( 4 − d 2 ) − t x j 2 2 , w . r . t . w j .

Solving the two reaction functions, we obtain the equilibrium R & D investment levels as follows:

x i A I = ( 8 − d 2 ) [ ( 2 − d ) ( 4 + d ) t − 2 ] ( a − c ) 8 ( 4 − d 2 ) 2 t 2 − ( 96 − 24 d 2 + d 4 ) t + 2 ( 8 − d 2 ) , (13-1)

x j A S = 2 [ ( 2 + d ) ( 2 − d ) 2 t − ( 8 − d 2 ) ] ( a − c ) 8 ( 4 − d 2 ) 2 t 2 − ( 96 − 24 d 2 + d 4 ) t + 2 ( 8 − d 2 ) , (13-2)

where the superscript “AI” and “AS”, respectively, denote asymmetric integration and separation. Finally, we obtain the equilibrium wholesale price, quantities, prices, and downstream and upstream firms’ profits as follows:

w A S = c + [ ( 4 − d 2 ) t − 2 ] [ 2 ( 2 + d ) ( 2 − d ) 2 t − ( 8 − d 2 ) ] ( a − c ) Δ , (13-3)

q i A I = [ 2 ( 4 − d 2 ) t ] [ ( 4 + d ) ( 2 − d ) t − 2 ] ( a − c ) Δ , (13-4)

q j A S = 2 t [ 2 ( 2 + d ) ( 2 − d ) 2 t − ( 8 − d 2 ) ] ( a − c ) Δ , (13-5)

p i A I = c + [ ( 2 − d ) ( 4 + d ) t − 2 ] [ 2 ( 4 − d 2 ) t − ( 8 − d 2 ) ] ( a − c ) Δ , (13-6)

p j A S = c + [ ( 6 − d 2 ) t − 2 ] [ 2 ( 2 + d ) ( 2 − d ) 2 t − ( 8 − d 2 ) ] ( a − c ) Δ , (13-7)

π j A S = 4 t 2 [ 2 ( 2 + d ) ( 2 − d ) 2 t − ( 8 − d 2 ) ] 2 ( a − c ) 2 Δ 2 , (13-8)

Π i A I = t [ 8 ( 4 − d 2 ) 2 t − 8 ( 8 − d 2 ) 2 ] [ ( 2 − d ) ( 4 + d ) t − 2 ] 2 ( a − c ) 2 2 Δ 2 − F , (13-9)

Π j A S = 2 t [ ( 4 − d 2 ) t − 1 ] [ 2 ( 2 + d ) ( 2 − d ) 2 t − ( 8 − d 2 ) ] 2 ( a − c ) 2 Δ 2 , (13-10)

where Δ = 8 ( 4 − d 2 ) 2 t 2 − ( 96 − 24 d 2 + d 4 ) t + 2 ( 8 − d 2 ) .

In the previous sub-sections, we analyze three cases: integration, separation, and asymmetric case. In this section, we examine the decision on integration or separation by each upstream firm. Our main result is characterized in Proposition 1.

Proposition 1: Under Equation (2-1) and Equation (2-2), we conclude the results as follows:

1) The integration occurs if the profits under integration exceed those of separated firm under asymmetric case ( 0 ≤ Π I I − Π A S ).

2) The separation occurs if the costs of integration exceed the benefits for a firm that faces a separated firm ( Π A I − Π S S ≤ 0 ).

3) The asymmetric case occurs if the costs of integration exist between the benefits of a firm that faces an integrated firm and the benefits of a firm that faces a separated firm ( Π A I − Π S S ≤ 0 and 0 ≤ Π I I − Π A S ).

We show a simple graphical explanation for Proposition 1.

function of product differentiation d and the market size α = ( a − c ) 2 , fixing the efficiency parameter of R & D investments t = 2 and the costs of integration F = 2 .

Lemma 5 Under Equation (2-1) and Equation (2-2), if product differentiation become greater, the vertical integration increases.

Lemma 6 Under Equation (2-1) and Equation (2-2), if the market size becomes larger, the vertical integration increases.

In this section, we conduct empirical analysis with M & A and financial data to test the theoretical results based on Lemma 4, 5 and 6. We propose three hypotheses as follows:

H1: When investment efficiency becomes higher, the more likely upstream firms will adopt vertical integration.

H2: When product differentiation become greater, the more likely upstream firms will adopt vertical integration.

H3: When the market size becomes larger, the more likely upstream firms will adopt vertical integration.

In our empirical analysis, we use the data about vertical integration by upstream firm in Japan from 1996 to 2016. The data source is obtained from RECOF’s M & A database. RECOF collects M & A data by interviewing companies based on news releases, newspapers and magazines in Japan. The deﬁnition of the merger in RECOF’s M & A database is that two or more companies will become one company in a merger agreement and the deﬁnition of the acquisition in RECOF’s M & A database is to acquire more than 50% of the shares. We also organize the financial data of upstream firms for the period from 1995 to 2015^{6} by using Nikkei NEEDS DVD and EOL online database^{7}. RECOF’s M & A database includes horizontal and vertical integration data and so on. We collect the vertical integration data. Among the vertical integration data, we use the data made up of upstream firms in manufacturing industry, and downstream firm in wholesale or retail industry, from RECOF’s M & A database^{8}. We use industry classification based on the TOPIX Sector Indices of Tokyo Stock Exchange. The number of M & As among Japanese firms from 1996 to 2016 is 24,354. From 1996 to 2016, the number of vertical integration cases is 641 and the number of upstream firms which merge with (or acquire) downstream firms is 433.

We test the three hypotheses by logistic regression. The reason to use logistic regression is for a firm to select vertical integration or separation. Andrade and Stafford [^{9}. The set of all the dummy variables is the dependent variable z.

To verify hypothesis H1, we adopt Tobin’s Q (TQ) as proxy for firm’s investment efficiency. Hasbrouck [

To verify hypothesis H2, we consider advertising intensity (ADV) as proxy for product differentiation. ADV is defined as ratio of advertisement expenses to the net sales of the firm. Some theoretical literatures, such as Bain [

To verify hypothesis H3, we adopt firm size as proxy for market size. Based on our theoretical model, firm size is half of market size. We estimate that integration is an increasing function in firm size. Danzon et al. [^{10}.

We briefly explain the estimation model. Each independent variable lags one year to the dummy variable of the year in order to avoid simultaneous bias problem^{11,12}. We exclude the data of independent variables that are not available^{13}. The number of sample data is 28,290 and the number of integration is 413. We introduce year dummy and industry dummy variable to eliminate the effect on integration^{14}.

We set the empirical model as follows:

z = α + β T Q + γ A D V + δ L N S + ϵ Y D + ζ I D

Variable | Symbol | Definition of the Variable |
---|---|---|

Integration dummy (dependent variable) | z | Dummy = 1 for firms undertaking vertical integration, 0 otherwise |

Tobin’s Q | TQ | Ratio of firm value to total assets |

Advertising intensity | ADV | Ratio of advertisement expense to net sales |

Net sales | LNS | Natural log of netsales |

Year dummy | YD | Dummy = 1 when the year of z is same as the year of year dummy, otherwise Dummy = 0 |

Industry dummy | ID | Dummy = 1 when the industry of z is same as the industry of industry dummy, otherwise Dummy = 0 |

Notes: YD is a vector which corresponds to each year from 1997 to 2016. If the row of the year in the YD corresponds to year of z, the row is 1, otherwise is 0. ID is a vector which corresponds to each industry. If the row of the industry in the ID corresponds to industry of z, the row is 1, otherwise is 0.

Mean | Median | Min | Max | Std. Dev. | |
---|---|---|---|---|---|

TQ | 1.182 | 1.032 | 0.182 | 45.141 | 0.794 |

ADV | 1.107 | 0.318 | 0.001 | 152.778 | 2.757 |

LNS | 24.196 | 24.047 | 17.399 | 30.400 | 1.471 |

TQ | ADV | LNS | |
---|---|---|---|

TQ | 1 | ||

ADV | 0.107 | 1 | |

LNS | 0.049 | −0.033 | 1 |

where α , β , γ , δ , ϵ , ζ are parameters.

In subsection 4.3, we show the results of the logistic regression.

In

This paper examines the relationship between vertical integration and three determinants: product differentiation, market size and investment efficiency. There are three important findings. Firstly, if product differentiation becomes greater, the vertical integration increases. Secondly, if the market size becomes larger, the vertical integration increases. Thirdly, the vertical integration increases when investment efficiency becomes higher. We also estimate the hypotheses, H1, H2, and H3, based on the analytical model. For this purpose, we collect data of vertical integration and financial data of Japanese firms from 1996 to 2016. We investigate how ADV, TQ, and LNS have impacted on decisions of upstream firms

TQ | 0.099*** (7.722) |
---|---|

ADV | 0.042*** (18.891) |

LNS | 0.291*** (76.458) |

Constant | −14.477*** (231.745) |

Year Dummy | Yes |

Industry Dummy | Yes |

Observations | 28,290 |

Wald | 246.919*** |

Likelihood-ratio | 311.395*** |

Notes: Statistical significance at the 1% level is denoted by ***. Values in the parentheses are wald-statistics for coefficient estimates.

to undertake vertical integration using logistic regression. Our findings show that the coefficients of ADV, TQ, and LNS are positive and statistically significant. These results support H1, H2, and H3. Thus, we conclude that the theoretical model is supported by empirical analysis.

In this paper, under the assumptions of linear demand and constant marginal cost, we show that firms’ strategic choices depend only on product differentiation, market size, and investment efficiency. In the general case, under quadratic cost function and non-linear demand, one would raise the query if these determinants could also play important roles in vertical integration. The empirical analysis examines the relationship between vertical integration and some determinants in a market where domestic firms compete. However, the study did not discuss the effects of vertical integration on inputs and outputs markets. Our future research will also consider firms’ strategic choice in a different environment where domestic firms compete with overseas firms. We expect the basic results of this paper to hold in these extended settings as well.

This research is supported by Japan Society for Promotion of Science, Grant-in-Aid, for grant number 15H03396, 15K03749, and 25380549.

Yamawake, T., Yamoto, S., Goi, H.C. and Lee, D.-J. (2018) Determinants of Vertical Integration: Investment Efficiency, Product Differentiation and Firm Size. Theoretical Economics Letters, 8, 1028-1043. https://doi.org/10.4236/tel.2018.85071