<p>The problem with unequal distribution of land ownership, in developing countries, has been debated in numerous papers. It is important to solve this problem and one of the major contributions in finding a solution is the implementation of a land reform. The aim of this paper is to elucidate the outcome of two different approaches to land reform, i.e. coercive and market based, and to find out how successful they are in reducing the concentration of land ownership in a sustainable direction. The conclusion of this paper is that neither of the approaches alone is successful in this task, the strength lies instead in a combination of the coercive and market based approach.</p>

The problem with unequal distribution of land ownership, in developing countries, has been debated in numerous papers. It is important to solve this problem and one of the major contributions in finding a solution is the implementation of a land reform. The aim of this paper is to elucidate the outcome of two different approaches to land reform, i.e. coercive and market based, and to find out how successful they are in reducing the concentration of land ownership in a sustainable direction. The conclusion of this paper is that neither of the approaches alone is successful in this task, the strength lies instead in a combination of the coercive and market based approach.

A análise de regressão kernel não paramétrica desconsidera qualquer influência das formas funcionais geralmente empregadas em análises de regressões paramétricas, permitindo os dados \"falarem por si mesmos\". Enquanto os estimadores paramétricos são considerados globais, os kernels não paramétricos usam uma amostra de dados próximas (definida pela largura da janela) a um ponto para ajustar a estimação, o que permite focar em peculiaridades locais dos dados. Ambas as análises foram aplicadas aos dados do Censo Agropecuário de 2006 realizado pelo IBGE, agregados municipalmente e em dezessete faixas de áreas, para estimar uma função de produção com o objetivo de estabelecer a relação entre o tamanho das propriedades agrícolas e o valor da produção por hectare (produtividade). A relação constatada foi inversa, porém a análise local feita pelos estimadores kernels explicitou uma relação direta entre as elasticidades de produção dos insumos e o tamanho das propriedades agrícolas, o que não justifica uma política de redistribuição de terras no sentido do aumento da produtividade. Além disto, análises gráficas contra fatuais (que manteve os insumos, exceto a área, constantes em seus valores médios) mostraram que a relação não é linear, não é monotônica, e difere dentre as regiões, o que é um desafio para a elaboração de políticas de redistribuição de terras. / Nonparametric kernel regression analysis disregards any influence of the functional forms commonly employed in parametric regression analyzes, allowing the data to \"speak for itself.\" While parametric estimators are considered global, nonparametric kernels use a sample of nearby data (defined by the bandwidth) at a point to adjust the estimation, which allows focusing on local peculiarities of the data. Both analyzes were applied to data from the 2006 IBGE Census of Agriculture, aggregated in municipalities and in seventeen areas, to estimate a production function with the objective of establishing the relationship between the size of agricultural properties and the value of production by hectare (productivity). The observed relationship was reversed, but the local analysis made by the kernels estimators explained a direct relationship between the elasticities of production of the inputs and the size of the agricultural properties, which does not justify a policy of redistribution of land in order to increase productivity. In addition, graphical analyzes against factors (which kept the inputs, except the area, constant in their mean values) showed that the relationship is not linear, is not monotonic, and differs among regions, which is a challenge for the elaboration of land redistribution policies.

A análise de regressão kernel não paramétrica desconsidera qualquer influência das formas funcionais geralmente empregadas em análises de regressões paramétricas, permitindo os dados \"falarem por si mesmos\". Enquanto os estimadores paramétricos são considerados globais, os kernels não paramétricos usam uma amostra de dados próximas (definida pela largura da janela) a um ponto para ajustar a estimação, o que permite focar em peculiaridades locais dos dados. Ambas as análises foram aplicadas aos dados do Censo Agropecuário de 2006 realizado pelo IBGE, agregados municipalmente e em dezessete faixas de áreas, para estimar uma função de produção com o objetivo de estabelecer a relação entre o tamanho das propriedades agrícolas e o valor da produção por hectare (produtividade). A relação constatada foi inversa, porém a análise local feita pelos estimadores kernels explicitou uma relação direta entre as elasticidades de produção dos insumos e o tamanho das propriedades agrícolas, o que não justifica uma política de redistribuição de terras no sentido do aumento da produtividade. Além disto, análises gráficas contra fatuais (que manteve os insumos, exceto a área, constantes em seus valores médios) mostraram que a relação não é linear, não é monotônica, e difere dentre as regiões, o que é um desafio para a elaboração de políticas de redistribuição de terras. / Nonparametric kernel regression analysis disregards any influence of the functional forms commonly employed in parametric regression analyzes, allowing the data to \"speak for itself.\" While parametric estimators are considered global, nonparametric kernels use a sample of nearby data (defined by the bandwidth) at a point to adjust the estimation, which allows focusing on local peculiarities of the data. Both analyzes were applied to data from the 2006 IBGE Census of Agriculture, aggregated in municipalities and in seventeen areas, to estimate a production function with the objective of establishing the relationship between the size of agricultural properties and the value of production by hectare (productivity). The observed relationship was reversed, but the local analysis made by the kernels estimators explained a direct relationship between the elasticities of production of the inputs and the size of the agricultural properties, which does not justify a policy of redistribution of land in order to increase productivity. In addition, graphical analyzes against factors (which kept the inputs, except the area, constant in their mean values) showed that the relationship is not linear, is not monotonic, and differs among regions, which is a challenge for the elaboration of land redistribution policies.

The purpose of this study is to examine the opinions of the land reform by the young population in Stellenbosch, South Africa. So far, the land reform that was implemented already in 1994, has not proven to be effective on the country’s huge inequality of land ownership between the black and white population. The white minority still own the majority of the land, due to historical injustices that developed through colonisation of South Africa and during the apartheid rule.  Since 2014, the discussions of the land reform have got more attention, both nationally and internationally, due to a new policy proposal called land expropriation without compensation. The objective of the thesis were therefore to gain an understanding on the perception of the land reform by both black and white people. To accomplish this, semi-structured individual interviews were conducted with seven people from black ethnicities and seven people from white ethnicities. The interviews were outlined to analyse how grievance would be affected by the land reform, as well as if the respondents answers differed due to homogeneous characteristics. The main results from this research was that there were no indication on that the level of relative deprivation would be affected by the land reform. Although, the majority of the respondents stressed the importance of the land reform to be given the right support and attention by the government in order to be successful. This could in turn be seen as problematic whereas most of them did not express much trust for the government. In addition, the perception by the land reform could generally not be interconnected to a certain background characteristics. The answers to both of the research questions could be explained by the uncertainty about the implementation of the land reform.