Mergers under endogenous minimum quality standard: a note



Fig. 1 Consumers distribution with and without low-quality merger

Uncovered market Firm 2-3          Firm 1


' With merger

Uncovered
market

I


Firm 3


Firm 2


Firm 1


Without


θ.


merger

This merger is profitable, however MQS induces a low quality higher than the
unregulated one by leading to a strong reduction in the differentiation between
the high qualities and a slight increase in the differentiation between the low
qualities. Although such a merger increases the market coverage the regulated
quality is so high that the low-quality firm obtains a negative profit therefore it
would leave the market.

3.3 Monopoly mergers

When firm 3 exists the market the high-quality merger leads to a monopoly in
which the MQS is applied to firm
2. The merger between 1 and 2 leads to:

PM = ! 91 P2 = 1 12                       (18)

11 = 0.25, ιi = 0                        (19)

II1M = 0.03125                              (20)

CSm = 0.03125, Wm = 0.0625                  (21)

This merger is clearly profitable and all consumers are worse-off: i) half
consumers are now out of the market, ii) consumers that consume the highest
quality even after the merger pay more for a lower quality. However, if the reg-
ulator did not announce the MQS, then firms would always choose a monopoly
merger. Since the consumers surplus is only affected by the high quality, then
any monopoly (arisen from a three-firm or a bilateral merger) induces the same



More intriguing information

1. Cross border cooperation –promoter of tourism development
2. The name is absent
3. CHANGING PRICES, CHANGING CIGARETTE CONSUMPTION
4. Developments and Development Directions of Electronic Trade Platforms in US and European Agri-Food Markets: Impact on Sector Organization
5. 09-01 "Resources, Rules and International Political Economy: The Politics of Development in the WTO"
6. An institutional analysis of sasi laut in Maluku, Indonesia
7. The name is absent
8. The name is absent
9. Non-causality in Bivariate Binary Panel Data
10. The name is absent