Estimation of cost and revenue functions for reforestation system in Drahanska highlands

2015 ◽  
Author(s):  
David Hampel ◽  
Jitka Janová ◽  
Jiří Kadlec
Keyword(s):  
Revenue Functions

Revenue functions for hotels within clusters

2021 ◽  
Vol 98 ◽  
pp. 103016
Author(s):  
Mike Tsionas ◽  
A. George Assaf
Keyword(s):  
Revenue Functions

Traders’ market power along Indonesian rubber value chains

2017 ◽  
Vol 9 (2) ◽  
pp. 169-187 ◽  
Author(s):  
Thomas Kopp ◽  
Bernhard Brümmer
Keyword(s):  
Market Power ◽  
Design Methodology ◽  
Value Chains ◽  
Business Practices ◽  
Data Set ◽  
Content Type ◽  
Marginal Value ◽  
Innovative Methodology ◽  
Individual Market ◽  
Revenue Functions

Purpose While traders of agricultural products are known to often exercise market power, this power has rarely been quantified for developing countries. The paper aims to discuss this issue. Design/methodology/approach In order to derive a measure, the authors estimate the traders’ revenue functions and calculate the marginal value products directly from them. The authors subsequently find the determinants affecting their individual market power. Findings Results show that market power at the traders’ level exists and is substantial. This market power is amplified in situations of extreme remoteness, and weakens with increasing market size. Originality/value An exceptional data set with detailed information on the business practices of rubber traders in Jambi, Indonesia is employed with an innovative methodology to directly estimate revenue functions.

Competition Tests with a Non-Structural Model: the Panzar–Rosse Method Applied to Germany’s Savings Banks

2009 ◽  
Vol 10 (1) ◽  
pp. 50-70 ◽  
Author(s):  
Horst Gischer ◽  
Mike Stiele
Keyword(s):  
Market Power ◽  
Structural Model ◽  
Monopolistic Competition ◽  
Empirical Models ◽  
Perfect Competition ◽  
Annual Data ◽  
Empirical Application ◽  
Savings Banks ◽  
Banking Market ◽  
Revenue Functions

Abstract In this paper we adopt the Panzar-Rosse approach to assess the competitive conditions in the German banking market for the period from 1993 to 2002.We suggest several improvements to the empirical application of the approach and show that frequently used empirical models that apply price rather than revenue functions lead to biased results. Using disaggregated annual data from more than 400 savings banks (Sparkassen) the empirical findings indicate monopolistic competition, the cases of monopoly and perfect competition are strongly rejected. Furthermore, small banks seem to enjoy even more market power than larger institutions.

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