Retail Sector Concentration and Price Dynamics in the Euro Area: A Regional Analysis

Ciapanna, Emanuela; Rondinelli, Concetta

doi:10.2139/ssrn.2023086

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…24 Several companies may form a buying group when making purchases in order to obtain more favourable prices from manufacturers, due to bulk. For the effects on prices see Colonna (2011), andECB (2011). 25 See ECB (2011) for the development of these measures.…”

Section: Retail Market Characteristicsmentioning

confidence: 99%

Explaining the endurance of price level differences in the Euro area

Dixon,

Kosma,

Petroulas

2024

SSRN Journal

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Section: Retail Market Characteristicsmentioning

confidence: 99%

Explaining the endurance of price level differences in the Euro area

Dixon,

Kosma,

Petroulas

2024

SSRN Journal

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“…HH highlights the significance of larger banks by assigning them bigger weights than smaller banks. Consequently, it includes each individual bank, such that random disconnections and insensitivity in market share allocation is mitigated (Ciapanna and Rondinelli, 2011). HH is measured as the sum of squares of the market share of loans, assets, or deposits of each individual bank in the banking sector.…”

Section: Definition and Measurement Of Variablesmentioning

confidence: 99%

Banking Concentration and Financial Stability: New Evidence from a Developing Country

2019

EJBM

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The policy debate on the trade-off and synergies between bank concentration and financial stability remains unresolved. Previous studies suggest two hypotheses; 'concentration-stability' and 'concentration-fragility'. This paper investigated the effect of bank concentration on financial stability in Kenya using Structural Equation Modelling (SEM) for the period 1990-2017. Estimation results reveal that high concentration leads to instability of the financial system. Further, increased competition improves stability of the financial system while regulation positively affects financial stability and bank concentration. Therefore, policies that ensures less bank concentration and enhance bank competition may significantly improve financial stability.

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“…First, we analyse the association between market structure and price levels empirically, using micro-data harmonized across the euro area, whereas such scholars as Ciapanna and Colonna (2011) look at the Italian market only. Second, we consider price levels whereas Ciapanna and Rondinelli (2011) use consumer price indices.…”

Section: Introductionmentioning

confidence: 99%

Retail Market Structure and Consumer Prices in the Euro Area

Ciapanna

Rondinelli

2014

SSRN Journal

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Grocery prices in the euro area: Findings from informal ESCN expert group to analsyse a disaggregated price dataset This paper was prepared as part of a Eurosystem project group established to analyse a large-scale disaggregated dataset on grocery prices in the euro area. This proprietary dataset was obtained as a follow up to the 2011 Eurosystem Structural Issues Report (SIR) entitled "Structural features of the distributive trades and their impact on prices in the euro area". The main motivation for obtaining these data was to enable the analysis of a variety of issues that was previously not possible owing to data limitations. More specifi cally (i) analysis of Single Market issues and quantifi cation of border effects (ii) measuring the impact of competition -both at the producer and retail level -on consumer price levels and (iii) consider potential implications for infl ation measurement arising from structural changes in retail sector such as the growing importance of discounters and private label brands.The data were obtained from Nielsen, an international market information and measurement company. The dataset is multi-dimensional with approximately 3.5 million observations each for the price, value and volume variables across a number of dimensions (13 countries; approximately 45 product categories; approximately 70 regions; approximately 10 store types on average per country; 4 brands per product category and 3 stock-keeping units -skus -per brand). The data are generally collected from barcode scanners. These cross country data are unique in a number of respects, in particular in that (a) there are data on average price levels across regions within countries, (b) there is information on both prices and volumes, and (c) there are data on aggregated private label sales and prices. The data have been cross-checked against HICP and PPP data and found to be highly congruent.The expert group was chaired by Bob Anderton (ECB) and Aidan Meyler (ECB) acted as Secretary. We are also grateful to Stefanos Dimitrakopoulos (Warwick University) who, whilst at the ECB as a trainee, provided invaluable assistance in compiling and working with the database.Preliminary results from the project group were initially presented at an informal Eurosystem workshop which took place in Frankfurt on 22 November 2013. Apart from the members of the expert group a small number of external participants were invited to the workshop. The following participants acted as discussants: Mario Crucini

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Retail Sector Concentration and Price Dynamics in the Euro Area: A Regional Analysis

Cited by 5 publications

References 12 publications

Explaining the endurance of price level differences in the Euro area

Explaining the endurance of price level differences in the Euro area

Banking Concentration and Financial Stability: New Evidence from a Developing Country

Retail Market Structure and Consumer Prices in the Euro Area

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