Skip to main content

The Impact of Increasing Competition for Non-Contract Parcels on Postal Prices and Efficiency Decisions

  • Chapter
  • First Online:
New Business and Regulatory Strategies in the Postal Sector

Abstract

The increase in e-commerce and demand for parcels has provided universal postal operators (USPs) with an opportunity to counter-balance, to some extent, declining letter volumes. However, as parcel markets have expanded this has exposed some USPs to increasing competition in the single-piece parcel traffic segment in which historically they have tended to dominate. This chapter develops and calibrates a theoretical model to assess postal USPs’ finances resulting from the trade-offs they face between efficiency gains and pricing, when operating in such an environment within a regulatory framework. Our results indicate that increasing competition in the parcel market can create added uncertainty and may require higher letter price caps to allow the USP to break even. Sensitivity analysis shows that external shocks can have a substantial impact on the USP’s financial position and fixed pre-determined price caps can impose a significant constraint on the USP’s ability to achieve a normal rate of return.

The views expressed in this chapter are those of the authors and do not necessarily reflect those of the organizations to which they are affiliated. We are grateful for comments on an earlier version of this chapter by Victor Glass and also to Amanda Terroni for practical insights into the different options open to frequent senders of single-piece parcels.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    This assumption is adopted for ease of modelling and broadly reflects conditions in European markets.

  2. 2.

    The use of price caps in this context is qualitatively similar to the approach followed in the UK by Ofcom (Ofcom, 2012). See Cowan (2018) for a general theoretical analysis of price regulation requiring a uniform profit margin. An alternative would have been to model the constraints on securing universal service by either of the measures proposed in the Third EU Postal Directive of public funding or a compensation fund although doubts exist regarding the design and enforcement of the latter in a European context following recent court cases (see Fratini and Chovino, 2018).

  3. 3.

    So that, for instance, the demand function for SPL in P2 becomes x i(p) = (1+λ)(α − βp).

  4. 4.

    In particular, see the results for the USP and Competitor BL and CP volumes and prices contained in DRS Table 1, under the column headings “P1 no strike” and “P2 with 2% efficiency and no strike”. In both these cases competitors offer BL through access to the USP’s delivery network (rather than bypass) and the prices set by the USP satisfy the margin squeeze condition set by the regulator.

  5. 5.

    Amending the competitor SPP user cost parameter is the most direct way to model the impact of increasing competition in the model. The directional effects of this change would be similar to shifting the parcel competitor switching function such that competitors were more competitive at all price points which might be due to, say, an upward shift in the quality of services provided by competitors at any given price.

  6. 6.

    This is due, among others, to assuming that the regulator adopts an equi-proportional mark-up rule in setting caps to derive a zero economic profit.

  7. 7.

    Note that the increase in parcel prices in the SPP market occurs as a result of the price cap not binding in our calibrated model. If it were to this would constrain the USP’s price and only volumes would adjust.

  8. 8.

    Most USPs are attempting to diversify into adjacent markets and an additional response might be for the USP to intensify further its initiatives for diversification.

References

  • Brennan, T. J., & Crew, M. A. (2016). Price cap regulation and declining demand. In M. A. Crew & T. J. Brennan (Eds.), The future of the postal sector in a digital world. Berlin: Springer.

    Google Scholar 

  • Cowan, S. (2018). Regulating monopoly pricing discrimination. Journal of Regulatory Economics, 54(1), 1–13.

    Article  Google Scholar 

  • De Donder, P., Rodriguez, F., & Soteri, S. (2018). Pricing and efficiency decisions for letter and parcel markets when industrial relations matter. In P. L. Parcu, T. J. Brennan, & V. Glass (Eds.), The contribution of the postal and delivery sector. Berlin: Springer.

    Google Scholar 

  • Ofcom. (2012) Securing the Universal Postal Service: Decision on the New Regulatory Framework. https://www.ofcom.org.uk/__data/assets/pdf_file/0029/74279/Securing-the-Universal-Postal-Service-statement.pdf

  • Fratini, A., & Chovino, M. (2018). Design and enforcement of compensation funds after Confetra: A legal and economic analysis. In P. L. Parcu, T. J. Brennan, & V. Glass (Eds.), New business and regulatory strategies in the postal sector. Basel: Springer.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Soterios Soteri .

Editor information

Editors and Affiliations

Appendix: Calibration for Simulations

Appendix: Calibration for Simulations

(A) Demand. For SPL, BL, SPP and CP markets, when the retail price of the good considered is the same in both zones, the urban zone represents 80% of total volumes, and the rural zone 20%.

SPL market: at a price of p = 0.667€, total volume of 1.8bn items, and direct price elasticity of demand of −0.2.

SPP market: hypothetical monopoly setting: at a price of \( {p}_{SP}^I=4 \), demand price elasticity of −0.2 (in both zones), and total volume of 0.2 billion items. With competition, displacement ratio \( -\left[\partial {x}_{SP,i}^I\left({p}_{SP}^I,{p}_{SP}^E+ cu\right)/\partial {p}_{SP}^E\right]/\left[\partial {x}_{SP,i}^E\left({p}_{SP}^I,{p}_{SP}^E+ cu\right)/\partial {p}_{SP}^E\right]=0.75. \) USP market share of 70% when \( {p}_{SP}^I={p}_{SP}^E=6 \) and cu = 0.6 and of 90% when \( {p}_{SP}^I=6,{p}_{SP}^E=6.6 \) and cu = 0.6.

BL market: hypothetical monopoly setting: at a price of 0.4, demand price elasticity of −0.4 (in both zones), and total volume of 7.5 billion items. With competition, displacement ratio \( -\left[\partial {y}_i^I\left({q}_i^I,{q}_I^E\right)/\partial {q}_i^E\right]/\left[\partial {y}_i^E\left({q}_i^I,{q}_I^E\right)/\partial {q}_i^E\right] \) of 0.9. Market share of 25% for competitors when \( {q}_i^I={q}_i^E=0.4 \) and of 50% when \( {q}_i^I=0.4 \) and \( {q}_i^E=0.36 \) .

CP market: assuming that the USP price in the urban (resp., rural) area is 1.9 (resp., 2.4) and that competitors are 10% more expensive than the USP, demands are calibrated so that (i) the displacement ratio is 0.75, (ii) the demand price elasticity is −0.2, (iii) the USP volume is 0.4 (resp., 0.1), (iv) the USP’s market share is 35%. For equal USP and competitors’ prices, the USP’s market share is 10%.

  1. (B)

    Costs (in P 1 ).

SPL market: unit variable cost c i of 0.38 in urban area (i = U) and 0.48 in rural area (i = R).

SPP market: unit variable costs: \( {c}_{SP,U}^I=2.28 \), \( {c}_{SP,R}^I=2.88 \), \( {c}_{SP,U}^E={c}_{SP,R}^E=5.83. \)

BL market: same upstream variable cost in both zones for both operators: \( {b}_U^I={b}_U^E={b}_R^I={b}_R^E=0.02 \). Upstream preparation cost of the USP’s BL final customers: b p = 0.15. USP’s downstream cost: \( {d}_U^I=0.19 \) and \( {d}_R^I=0.34 \). Competitors’ downstream cost: \( {d}_U^E=0.28 \) and \( {d}_R^E=0.74 \).

CP market: unit variable costs: \( {f}_U^I=1.14 \), \( {f}_R^I=1.44 \), \( {f}_U^E=2 \), \( {f}_R^E=2.6 \).

USP: fixed cost of F = 2.4. All (variable and fixed) USP costs decrease by 5e% between P1 and P2.

(C) Mark-ups. USP mark-up for access charge set by the regulator: \( {m}_L^I=0.1 \) and ϕ = 2/3. Competitors’ mark-up in BL market: \( {m}_L^E=0.02 \); in SPP market: m SP = 0.03; and in CP market: \( {m}_P^E=0.03 \).

(D) Exogenous variations in volumes . Exogenous volume trend between P1 and P2 for letters are λ L =  − 0.2 and for parcels λ P = 0.2.

If a strike occurs in P2 (see sensitivities 4a and 4b in Table 2), USP volumes are assumed to decrease by a fraction γ L(e) in the SPL and BL markets, and by γ P(e) in the SPP and CP markets. The functions γ L and γ P are both increasing in e, as the announcement of a larger decrease in costs is likely to result in more severe industrial action. In particular, the volume loss by the USP in the case of a strike in P2 as a proportion of the USP’s pre-strike volume is equal to γ L(e) = 0.04+4e and γ P(e) = 0.08+8e, where e is expressed as a proportion (for example, e = 2% as e = 0.02). Competitors’ volumes are similarly affected in the BL market (since the USP delivers these volumes on the competitors’ behalf, at equilibrium). As for the SPP and CP markets, a fraction β = 0.8 of the volumes assumed to be lost by the USP due to the strike is diverted towards the competitors. So, for instance, in the CP market, USP demand when a strike occurs in P2 becomes \( \left(1+{\lambda}^P\right)\left(1-{\gamma}^P(e)\right){z}_i^I\left({s}_i^I,{s}_i^E\right) \) while the competitors’ demand becomes \( \left(1+{\lambda}^P\right)\left({z}_i^E\left({s}_i^I,{s}_i^E\right)+{\beta \gamma}^P(e){z}_i^I\left({s}_i^I,{s}_i^E\right)\right) \).

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

De Donder, P., Rodriguez, F., Soteri, S. (2018). The Impact of Increasing Competition for Non-Contract Parcels on Postal Prices and Efficiency Decisions. In: Parcu, P., Brennan, T., Glass, V. (eds) New Business and Regulatory Strategies in the Postal Sector. Topics in Regulatory Economics and Policy. Springer, Cham. https://doi.org/10.1007/978-3-030-02937-1_14

Download citation

Publish with us

Policies and ethics