This study provides the strategies that can be implemented to promote the agricultural sector in KwaZulu-Natal and the theory behind economic development, as well as the importance of trade and export growth. There are restrictions in terms of trade and it is important that these are addressed before making a decision to choose a viable, potential and realistic country to export to. This study is aimed answer the research question if agriculture can be seen as a primary export sector in KwaZulu-Natal. Furthermore, this study includes background on the KwaZulu-Natal Province and mainly focus on the indicators such as GDP, employment, health issues and other indicators that will indicate that this province is of importance in South Africa in terms of the agricultural sector. This study uses SARS data to analyse and calculate the Revealed Comparative Advantage (RCA) of all agricultural products of the province. This is done to identify if there is a comparative advantage in the products studied in this study. The products of KwaZulu-Natal also show that this province’s agriculture can be seen as a primary export sector and that this sector is a major contribution to South Africa’s GDP and development. This study uses the Decision Support Model (DSM) to compare the results from the Revealed Comparative Advantage to identify the products and sectors which have the most export potential in the international market. This study reveals that the agricultural products and industries in KwaZulu-Natal with the highest overall export potential are chocolate and cocoa preps, refined soybean oil, and leather products as the three top performers among agricultural products and have the most export potential in the province. Concluding remarks are based on the findings made throughout the study. / Thesis (MCom (International Trade))--North-West University, Potchefstroom Campus, 2012

Submitted by Diogo Bassetti (diogobassetti@hotmail.com) on 2017-09-21T00:43:31Z No. of bitstreams: 1 DSM - Diogo Bassetti - BRICS_Final.pdf: 4087477 bytes, checksum: 46e14f3fd3806b235190696046d99062 (MD5) / Rejected by Thais Oliveira (thais.oliveira@fgv.br), reason: Prezado, boa tarde! O seu trabalho foi rejeitado pelos seguintes motivos: - Os títulos (Resumo, Abstract, Lista de figuras, tabelas, Sumário e etc) devem ser centralizados na página; - O Sumário vem antes da página da "Introdução", depois das listas de figuras, tabelas e afins; - A contagem de páginas começa a partir da Capa, mas a numeração começa a partir da 'Introdução". Qualquer dúvida, entre em contato no e-mail mestradoprofissional@fgv.br ou ligue 3799-7764 Att, Thais Oliveira on 2017-09-21T17:56:01Z (GMT) / Submitted by Diogo Bassetti (diogobassetti@hotmail.com) on 2017-09-21T18:14:10Z No. of bitstreams: 1 DSM - Diogo Bassetti - BRICS_Final.pdf: 4080014 bytes, checksum: 72fcb5baabf4dfbfc7c54e013eed69dc (MD5) / Rejected by Thais Oliveira (thais.oliveira@fgv.br), reason: Prezado, boa tarde! Está correto, só faltou centralizar o título "Acknowledgements". Por gentileza, altere e reenvie para que possamos aprovar a Dissertação. Obrigada! on 2017-09-21T19:43:31Z (GMT) / Submitted by Diogo Bassetti (diogobassetti@hotmail.com) on 2017-09-21T19:48:03Z No. of bitstreams: 1 DSM - Diogo Bassetti - BRICS_Final.pdf: 4080815 bytes, checksum: 48d4e119aa0274f2d352dd2f55323dcc (MD5) / Approved for entry into archive by Thais Oliveira (thais.oliveira@fgv.br) on 2017-09-21T19:52:49Z (GMT) No. of bitstreams: 1 DSM - Diogo Bassetti - BRICS_Final.pdf: 4080815 bytes, checksum: 48d4e119aa0274f2d352dd2f55323dcc (MD5) / Made available in DSpace on 2017-09-22T14:28:42Z (GMT). No. of bitstreams: 1 DSM - Diogo Bassetti - BRICS_Final.pdf: 4080815 bytes, checksum: 48d4e119aa0274f2d352dd2f55323dcc (MD5) Previous issue date: 2017-08-23 / This study aims to identify export opportunities for Brazilian products to other countries of the BRICS. It utilized the Decision Support Model (DSM), created by Cuyvers et al (1995), with the intent of assisting policy makers and instituitions by identifying and filtering foreign markets and as a result detecting export opportunities. This is the first application of the DSM to Brazil, therefore the literature has no history about Brazilian export opportunities in reference of this model. The analysis made had as input the HS 6-digit level of disaggregation of products, being able to retain a high level of depth regarding the right selection of products in the BRICS’ import market, aside from Brazil. The overall analysis was made between 2011 and 2015. The results of the model showed 1,113 products which can be successfully exported to Russia, China, India and South Africa, evaluated as realistic export opportunities, and following a Marketshare analysis, between 80% and 95% of those products, with small variations from year to year, are not explored or explored very little by Brazil’s exporters. The model also exposed 292 products in which Brazil already has or had expertise in exporting. Also, it was calculated the potential value of those exports: the year of 2014 a total US$ 136.9 billions of dollars; for the year of 2015, 101.7 billions of dollars; and considering products selected by Brazil’s export capacity, for 2014, 62.3 billions of dollars; for 2015, 43 billions of dollars. / Este estudo tem como objetivo identificar oportunidades de exportação de produtos brasileiros para outros países do BRICS. Utilizou o Decision Support Model (DSM), criado por Cuyvers et al (1995), com a intenção de auxiliar políticos e instituições, identificando e filtrando mercados externos e, como resultado, detectando oportunidades de exportação. Esta é a primeira aplicação do DSM para o Brasil, portanto, a literatura não tem história sobre as oportunidades de exportação brasileiras em referência a este modelo. A análise realizada teve como entrada o nível de desagregação de produtos de 6 dígitos do HS, podendo manter um alto nível de profundidade em relação à seleção correta de produtos no mercado de importação do BRICS, além do Brasil. A análise geral foi feita entre 2011 e 2015. Os resultados do modelo mostraram 1.113 produtos que podem ser exportados com sucesso para a Rússia, China, Índia e África do Sul, avaliados como oportunidades de exportação realistas e, após uma análise da Marketshare, entre 80% e 95 % desses produtos, com pequenas variações de ano para ano, não são explorados ou explorados muito pouco pelos exportadores brasileiros. O modelo também expôs 292 produtos em que o Brasil já possui ou tem experiência em exportar. Além disso, foi calculado o valor potencial dessas exportações: o ano de 2014 totalizou 136,9 bilhões de dólares; para o ano de 2015, 101,7 bilhões de dólares; e considerando produtos selecionados pela capacidade de exportação do Brasil, para 2014, 62,3 bilhões de dólares; para 2015 43 bilhões de dólares.