2010
DOI: 10.1590/s0104-77602010000200013
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Analysis of the Brazilian cellulose industry concentration (1998 - 2007)

Abstract: This work analyzed the Brazilian cellulose industry concentration level between 1998 and 2007, focusing on the sector's main performance indicators.

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Cited by 11 publications
(6 citation statements)
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“…Coelho Junior, et al (2010) corroborate the previous statements by noting that the pulp and paper industry is capital intensive and that pulp production is marked by its inherent economies of scale, by the necessity of large initial investments and a long maturation period of the project, besides requiring an existing technological capacity.…”
Section: Discussionsupporting
confidence: 82%
“…Coelho Junior, et al (2010) corroborate the previous statements by noting that the pulp and paper industry is capital intensive and that pulp production is marked by its inherent economies of scale, by the necessity of large initial investments and a long maturation period of the project, besides requiring an existing technological capacity.…”
Section: Discussionsupporting
confidence: 82%
“…Relating to industrial concentration research, this study highlights: Chalvatzis and Ioannidis [10], Charumbira and Sunde [11], Coelho Junior [12], [13], Coelho Junior et al [14]- [20], Mohammed et al [21], Nawrocki and Carter [22], Selvatti et al [23], and Van Egeraat et al [24]. Regarding special conglomerate analyses, we emphasize: Arroyo et al [25], Lieu et al [26], Nigatu et al [27], Randolph [28], and Yih et al [29].…”
Section: Introductionmentioning
confidence: 87%
“…The measurement of concentration indices infers in the analysis of the pulp subsector structure and is evident in the competitiveness dimension of the exporting countries. The concentration indices synthesize a concept of multiple dimensions such as supply and demand, technological capacity, and cost structure, among others (POSSAS, 1999;COELHO JUNIOR et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The Gini coefficient varies between 0 (situation of zero inequality in the market) and 1 (absolute inequality). At the suggestion of Coelho Junior et al (2010), the following classification was used to evaluate the results: 0 to 0.1 representing zero inequality; 0.101 to 0.250 representing zero to weak inequality; 0.251 to 0.500 representing weak to medium inequality; 0.501 to 0.700 representing average to strong inequality; 0.701 to 0.900 representing strong to very strong inequality; and 0.900 to 1.000 representing very strong to absolute inequality.…”
mentioning
confidence: 99%