A continuidade do processo de desconcentração regional da indústria brasileira nos anos 2000
The article continues the debate on the changes in the regional distribution of Brazilian industry in recent decades. Based on industry data for employment and wages for the period 1997/2007, it identifies an intense process of regional decentralization. Using classical indices of concentration, it appears that the trend identified affects all types of industries, whether traditional, commodities, diffuser or durable goods. The article also proposes the use of a new density index, highlighting some meso-regions where it is relatively high. From the values encountered for the density index some meso-regions located in different regions of the country are selected and their results discussed, which illustrates various situations of apparent success.
A desconcentração produtiva entre 2000 e 2015: uma nova dinâmica virtuosa? | The Productive Deconcentration between 2000 and 2015: A new virtuous dynamic?
O processo de desconcentração produtiva que se iniciou por volta dos anos 1970 trouxe expectativas de um desenvolvimento regional mais equilibrado no Brasil. Após um ciclo virtuoso de desconcentração, durante o período do milagre econômico, o processo se arrefeceu, despertando preocupações acerca de uma repolarização produtiva na região Sudeste e de uma eminente fragmentação das economias regionais. O presente artigo, nesse contexto, defenderá, com o auxílio de estudos em perspectiva nacional e regional, que uma conjunção de fatores, como a reorientação político-institucional, o ciclo de crescimento econômico e o contexto internacional favorável, dentre outros, propiciou o surgimento de uma dinâmica mais acentuada de desconcentração produtiva no período entre 2000 e 2015.
To What Extent Can English-as-a-Second Language Learners Read Economic News Texts?
In decision making in the economic field, an especially important requirement is to rapidly understand news to absorb ever-changing economic situations. Given that most economic news is written in English, the ability to read such information without waiting for a translation is particularly valuable in economics in contrast to other fields. In consideration of this issue, this research investigated the extent to which non-native English speakers are able to read economic news to make decisions accordingly – an issue that has been rarely addressed in previous studies. Using an existing standard dataset as training data, we created a classifier that automatically evaluates the readability of text with high accuracy for English learners. Our assessment of the readability of an economic news corpus revealed that most news texts can be read by intermediate English learners. We also found that in some cases, readability varies considerably depending on the knowledge of certain words specific to the economic field.