Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-01-04T21:25:40Z No. of bitstreams: 1 MarcioMonteiroMaia_TESE.pdf: 1259499 bytes, checksum: 525d1964653fd992305fce38d59f6a36 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-01-07T17:19:25Z (GMT) No. of bitstreams: 1 MarcioMonteiroMaia_TESE.pdf: 1259499 bytes, checksum: 525d1964653fd992305fce38d59f6a36 (MD5) / Made available in DSpace on 2016-01-07T17:19:25Z (GMT). No. of bitstreams: 1 MarcioMonteiroMaia_TESE.pdf: 1259499 bytes, checksum: 525d1964653fd992305fce38d59f6a36 (MD5) Previous issue date: 2014-04-30 / A presente Tese trata da avalia??o de impactos n?o esperados, atrav?s do Estudo de Caso sobre os desvios ou redirecionamentos presentes em contratos do Pronaf B, no munic?pio de Governador Mangabeira - BA, entre 2011 a 2013. A partir da quest?o sobre como os impactos n?o esperados contribuem na efetividade do programa? Foi poss?vel a verifica??o da hip?tese de que a efetividade dos impactos n?o esperados tem origem na l?gica da agricultura familiar, original das condi??es s?cio-econ?micas e particulares das unidades familiares. A metodologia utilizada se estruturou no referencial te?rico a respeito da avalia??o de impacto e agricultura familiar, coleta de dados, aplica??o de question?rios entre os contratantes redirecionantes do cr?dito no PRONAF B e entrevistas com os atores institucionais envolvidos. Os resultados confirmaram a exist?ncia de uma l?gica na agricultura familiar, capaz de tomar decis?es pr?prias do seu modo de reprodu??o de vida. Quanto ? avalia??o de impacto, acrescentou-se a import?ncia dos impactos n?o esperados na avalia??o de Pol?ticas P?blicas, enquanto estudo da efetividade junto aos assistidos e a significativa contribui??o de seus pontos de vista. / This Doctoral Dissertation deals with the evaluation of impacts, through the Case Study on deviations or redirects present in contracts Pronaf B, at Governador Mangabeira - BA , from 2011 to 2013. From the questioning about the expected impacts not contribute to the effectiveness of the program ? It was possible the measurement of the hypothesis that the effectiveness of unexpected impacts stems from the logic of family farming, unique socio-economic conditions of individuals and family units. The methodology is structured in the theoretical framework regarding the impact assessment and family farming, data collection, questionnaires among redirected contracting credit in PRONAF B and interviews with institutional actors involved . The results confirmed the existence of a logic family farm, able to take own decisions their mode of reproduction of life. As for the impact assessment, we added the importance of the unexpected in the evaluation of public policy impacts , while study of effectiveness with the beneficiaries and the significant contribution of their views.