Submitted by ADRIANO FERREIRA DE MORAES null (adriano_afmoraes@hotmail.com) on 2017-10-02T23:51:26Z No. of bitstreams: 1 Dissertacao_Adriano_Ferreira_de_Moraes.pdf: 1207340 bytes, checksum: f0cc7e7033a1326e1d5e10d4c8a60e5c (MD5) / Approved for entry into archive by Monique Sasaki (sayumi_sasaki@hotmail.com) on 2017-10-03T16:16:44Z (GMT) No. of bitstreams: 1 moraes_af_me_jabo.pdf: 1207340 bytes, checksum: f0cc7e7033a1326e1d5e10d4c8a60e5c (MD5) / Made available in DSpace on 2017-10-03T16:16:44Z (GMT). No. of bitstreams: 1 moraes_af_me_jabo.pdf: 1207340 bytes, checksum: f0cc7e7033a1326e1d5e10d4c8a60e5c (MD5) Previous issue date: 2017-09-04 / Análises econômicas resultam em ferramentas importantes na definição de políticas e medidas estruturantes para qualquer setor de produção, particularmente no setor de produtos agrícolas. Esta pesquisa teve como objetivos a avaliação de fatores que afetam a oferta cafeeira da região Nordeste do estado de São Paulo, por meio de modelagem econométrica. As variáveis utilizadas na pesquisa foram a "produção do café" (em sacas de 60 kg), a "produtividade do café" (em sacas 60 kg por hectares), "área plantada de café" (em hectares), "preço do café" no mercado (em reais por saca de 60 kg) e preços (em reais) de produtos concorrentes, como do "kg de açúcar" e da "dúzia de laranjas". Os dados são anuais e foram obtidos junto ao Instituto de Economia Agrícola (IEA), no Centro de Estudos em Economia Aplicada, referentes a 16 municípios dessa região, no período de 1995 a 2015. As análises foram realizadas com o auxílio do software GRETL (Gnu, Regression, Econometrics and Time-Series Library), com modelos de regressão linear múltipla do tipo log-log, considerando como variável dependente a "produção de café" e seguindo metodologia descrita e Gujarati e Porter (2011). Os resultados obtidos mostraram que a área plantada, a produtividade e o preço do café foram as variáveis determinantes da oferta, apresentando impacto positivo, no período de 1995 a 2015. Os preços dos produtos concorrentes, açúcar e laranja, não tiveram impactos significativos na oferta de café na região pesquisada, no período de 1995 a 2015. / Economic analyzes result in important tools in the definition of policies and structural measures for any production sector, particularly in the agricultural products sector. The objective of this study was to evaluate factors affecting coffee supply in the Northeast region of the state of São Paulo, using econometric modeling based on a log-log multiple regression. The variables used were production (the dependent variable), productivity (sacks 60 kg per hectare), planted area (hectares), prices of coffee (sack 60 kg), sugar (kg) and orange (dozen) . The data cover the period from 1995 to 2015 and were withdrawn from the Institute of Agricultural Economics (IEA) at the Center for Applied Economics Studies. Multiple log-log linear regression models were developed using the software GRETL (Gnu, Regression, Econometrics and Time-Series Library), and the methodology proposed by Gujarati and Porter (2011). The results showed that the planted area, the productivity and the price of coffee were the determinants of supply, with a positive impact, from 1995 to 2015. The prices of competing products, sugar and orange, did not have a significant impact on supply in the region surveyed, from 1995 to 2015.

Trading processes are occurring every day in all industries, and people within these processes are constantly faced with inequalities due to different power structures and opportunities. In particularly, the coffee industry is one industry that is affected by these trading differences. The purpose of this thesis is to examine two different trading concepts within the coffee industry; blockchain and direct trade, and how these are affecting the livelihood of the coffee farmers. This thesis was analysed from consumer’s and supplier’s perspective, which correspond to blockchain and direct trade respectively. Further, through a deductive qualitative research we gathered empirical findings which prove that farmers of developing countries such as Ethiopia and Guatemala can better off through a transparent and essential relationship, which either concept provides. Particularly, while blockchain encourages ethical customer to channel its purchasing power to the farmer, in order to improve their livelihood, a direct trade relationship between farmer and the buyer provides a personal connection in a vision to thrive together.

The purpose of this study is to examine the German coffee market and its appropriateness as a new market to enter for the startup Company Briu. The company has been continuously growing since its initial start. The Chilean Coffee startup has since then looked for new markets opportunities in Europe. Their favored market is Germany. The research conducted in this paper is supposed to reveal the market its suitability for the company its expansion. The following key areas are assessed in order to decide whether or not the company should enter the market: 1. The demand for specialty quality coffee in Germany 2. The supply chain for the product 3. Governmental support of startups in Germany 4. The potential of the German Coffee Market 5. The legal and regulatory frame in Germany 6. German Customer 7. Market attractiveness 8. Ease of entry 9. Partner selection In this study, nine Coffee startups were interviewed. All the companies are located in Germany and the interviews were conducted via phone. The results suggest that the demand for specialty coffee in Germany is high enough to make the market entry of the company successful. The legal and financial landscape of the German startup industry supports the decision to enter the German specialty coffee market and an appropriate supply chain as well as suitable business partners are available.