Public policy and its relations with regional development and competitiveness: analysis of the catarinense apparel and accessories industry

• Autor(a) principal: Villan, Wilciney José
• Data de Publicação: 2019
• Outros Autores: Camilo, Sílvio Parodi Oliveira
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: DRd - Desenvolvimento Regional em debate
• Texto Completo: http://www.periodicos.unc.br/index.php/drd/article/view/2165

This paper analyzes socioeconomic characteristics of the catarinense apparel and accessories industry, and the main influential public policies in the period of 2001-2015. Public policies provide development at the national, regional and local levels, as well as in the operational environment of firms.  In this sense, combining government actions to the competitive environment is a way to contribute and influence employment and income levels. In this perspective, the literature considers that relationships between firm-environment are interdependent, with mutual influences between each of them. Thus, the State has an important contributory role to regional and competitive development of firms. Through deductive and historical methods, this study describes and analyzes the sector’s main socioeconomics data. The study will also explore secondary data through a quantitative approach and employs, as a research strategy, document analysis and content analysis as a research technique. Based on these considerations, this work brings together a wide range of socioeconomic sector data, evaluates its main clusters in Brazil, refines business transactions, and identifies the major public policies related to regional development. The results show an industry expansion, based on small businesses, with increasing value of production and revenue. The funding sources are mainly federal, showing a vertical alignment between governments. The Santa Catarina cluster is representative of the national level and hold a trade balance positive is persistent. Keywords: Firm-government relations. Socioeconomic analysis. Sectoral clusters. Regional Development.