Deliverable 2.3-Research needs in terms of statistical methodologies and new data

The MAKSWELL project was set up to help strengthening the use of evidence and information on well-being and sustainability for policy-making in the EU, as also the political attention to well-being and sustainability indicators has been increasing in recent years. Traditionally sample surveys are the data source used for measurement frameworks for well-being and sustainability. Over the last decades more and more new, alternative data sources become available. Examples are administrative data like tax registers, or other large data sets - so called big data - that are generated as a by-product of processes not directly related to statistical production purposes. In Deliverables 2.1, 2.2 as well as 3.1, 4.1 and 4.3 it is discussed in detail how these new data sources can be used in the production of official statistics and measurement frameworks for well-being and sustainability indicators. This Deliverable extends on the experiences obtained in these preceding deliverables by pointing out the needs for new data sources and methods in this context

Metodologia de identificação dos fatores determinantes dos investimentos estrangeiros diretos (IEDs) no setor florestal : um estudo de caso.

bitstream/item/39421/1/Doc172-1.pd

Deliverable 2.3 - Research needs in terms of statistical methodologies and new data

The MAKSWELL project was set up to help strengthening the use of evidence and information on well-being and sustainability for policy-making in the EU, as also the political attention to well-being and sustainability indicators has been increasing in recent years. Traditionally sample surveys are the data source used for measurement frameworks for well-being and sustainability. Over the last decades more and more new, alternative data sources become available. Examples are administrative data like tax registers, or other large data sets - so called big data - that are generated as a by-product of processes not directly related to statistical production purposes. In Deliverables 2.1, 2.2 as well as 3.1, 4.1 and 4.3 it is discussed in detail how these new data sources can be used in the production of official statistics and measurement frameworks for well-being and sustainability indicators. This Deliverable extends on the experiences obtained in these preceding deliverables by pointing out the needs for new data sources and methods in this context

Competitividade do Brasil no mercado internacional de aglomerado Brazil´s competivity in the international market of particleboard

Este estudo objetivou caracterizar a estrutura do mercado internacional de aglomerado quanto à sua concentração e desigualdade, bem como decompor as variações nas exportações desse produto dos principais países participantes em efeito-crescimento do comércio mundial, efeito-destino e efeito-competitividade no período de 1998 a 2002. O nível de concentração e desigualdade favorece práticas anticompetitivas. O efeito-competitividade, composto por aspectos endógenos, não favorece o aumento das exportações brasileiras.<br>This study aimed to characterize the structure of the international market of particleboard in relationship to its concentration and inequality and to decompose the variations in particleboard export in the major participant countries in terms of world trade growth effect, destination effect and competitiveness effect from 1998 to 2002. Concentration level and inequality favor anti-competitive practices and competitiveness effect, composed by endogenous aspects and market conditions, such as international agreements, do not favor Brazilian export growth