Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Lund University Publ...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
EconStor
Research . 2011
Data sources: EconStor
versions View all 4 versions
addClaim

Markups and Export Pricing

Authors: Gullstrand, Joakim; Olofsdotter, Karin; Thede, Susanna;

Markups and Export Pricing

Abstract

We analyze empirically product-price variation across export destinations using detailed firm-product data. Most recent studies using highly disaggregated data emphasize variations in product quality as an explanation as to why firms charge different prices for the same product on different export markets. In this paper, we take an alternative approach and assume that variations in firms' export prices reflect market segmentation and investigate the relationship between price variation and average firm markup. We study an entire supply chain in order to see how price discrimination varies across sectors with different distribution networks. Specifically, we make use of firm-level data for exporting firms in the Swedish food supply chain. The results offer new information about the behavior of exporting firms. Hence, for the food-processing industry, firms with greater ability to discriminate between markets are associated with a higher markup. However, the results also reveal that markups are a complex function of firm characteristics and that the price-setting behavior of firms in the manufacturing sector is not necessarily observed in other sectors of the supply chain.

Country
Sweden
Keywords

Firm-level data, ddc:330, F14, Economics, Price discrimination, Markups; Export prices; Price discrimination; Firm-level data, Markups, D40, Export prices, F12, jel: jel:D40, jel: jel:F14, jel: jel:F12

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green