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Documentation of a multi-topic questionnaire-based survey on sustainable resource use in rural China AgEcon
Jia, Xiangping; Buchenrieder, Gertrud.
This Discussion Paper documents a survey conducted in rural China in 2005. A multi-topic survey funded by the Sino-German international Training Program "Sustainable Resource Use in North China", the project covers farm management, land property rights and rural credit access on the North China Plain. From a credit standpoint, this paper covers questionnaire design, sample, survey implementation, data entry, a brief assessment of the overall experience, as well as lessons drawn.
Tipo: Working or Discussion Paper Palavras-chave: Questionnaire; Survey; Credit access; Household model; Categorical variables; Stata.; Agribusiness; Farm Management; Food Consumption/Nutrition/Food Safety; International Development; Land Economics/Use; Productivity Analysis; Resource /Energy Economics and Policy; C81; C93; D19.
Ano: 2007 URL: http://purl.umn.edu/90856
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The unequal allocation of PRONAF resources: which factors determine the intensity of the program across Brazil? Rev. Econ. Sociol. Rural
Zeller,Manfred; Schiesari,Carolina.
Abstract The family farming sector in Brazil is an important player in the country’s economy, especially in poor rural areas., The government has created the National Program for Strengthening Family Agriculture (PRONAF) to stimulate the development of family farming in Brazil. It a credit program that offers loans at a subsidized interest rate. Previous studies have shown that wealthier farmers and more developed regions have more access to subsidized credit. Due to this apparently unequal allocation of PRONAF resources, the study aims to analyze, through econometric regressions and interviews with specialists, the underlying determinants for the unequal credit allocation across the municipalities in Brazil. Results indicate that wealth and knowledge of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Family farming; PRONAF; Rural loan; Credit access; Credit intensity.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032020000300205
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