972 resultados para land policy
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This paper has developed a model of a single forest owner operating with perfect foresight in a dynamic open-city environment that allows for switching between alternative competing land uses (forest and urban use) at some point in the future. The model also incorporates external values of an even-aged standing forest in addition to the value of timber when it is harvested. Timber is exploited based on a multiple rotation model a la Faustmann with clear-cut harvesting. In contrast to previous models, our alternative land use to forest land is endogenous. Within this framework, we study the problem of the private owner as well as that of the social planner, when choosing the time to harvest, the time to convert land and the intensity of development. We also examine the extent to which the two-way linkage between urban development and forest management practices (timber production and provision of forest amenities) contributes to economic efficiency and improvements in non-market forest benefits. Finally, we consider policy options available to a regulator seeking to achieve improvements in efficiency including anti-sprawl policies (impact fees and density controls) and forest policies such a yield tax. Numerical simulations illustrate our analytical results.
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This paper examines the effectiveness of urban containment policies to protect forestland from residential conversion and to increase the provision of forest public goods in the presence of irreversible investments and policy uncertainty. We develop a model of a single landowner that allows for switching between competing land uses (forestry and residential use) at some point in the future. Our results show that urban containment policies can protect (even if temporarily) forestland from being developed but must be supplemented with policies that influence the length and number of harvesting cycles if the goal is to increase nontimber benefits. The threat of a development prohibition creates incentives for preemptive timber harvesting and land conversion. In particular, threatened regulation creates an incentive to shorten rotation cycles to avoid costly land-use restrictions. However, it has an ambiguous effect on forestland conversion as the number of rotation cycles can also be adjusted to maximize the expected returns to land. Finally, in the presence of irreversibility, forestland conversion decisions should be done using real option theory rather than net present value analysis
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The virtuous cycle between development success and foreign policy in Cape Verde reflects a positive interaction between globalization and governance. Development success under globalization entails positive market perceptions regarding the orientation and predictability of policies as well as the accompanying institutional arrangements, thereby making foreign policy salient beyond the comparator group, or “aspirational”. Even if there is no universally applicable development model, an aspirational foreign policy can be built on positive rankings with respect to comparator groups. In Macedo and Pereira (2010), macrolevel policy and institutional combinations underpinning trade diversification and income convergence in West and Southern Africa are used to establish development success for Cape Verde and Mozambique respectively. Here, the narrative of long-term development helps identify the following drivers: moving towards a market economy; opening up to regional and global trade; increasing economic and political freedom; pursuing macroeconomic stability and financial reputation; ensuring policy continuity (especially in trade and industrial sectors) and focusing on human development (especially poverty reduction and education). Looking at GDP per capita and indicators of financial reputation and good governance of sub-regional peers is not sufficient to conclude that Cape Verde’s convergence will be sustained. Nevertheless, the positive interaction between trade and financial globalization, on the one hand, and democracy and good governance, on the other, have positive implications for the effectiveness of foreign policy across the region as well as in the Portuguese-speaking community.
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We study a two sector endogenous growth model with environmental quality with two goods and two factors of production, one clean and one dirty. Technological change creates clean or dirty innovations. We compare the laissez-faire equilibrium and the social optimum and study first- and second-best policies. Optimal policy encourages research toward clean technologies. In a second-best world, we claim that a portfolio that includes a tax on the polluting good combined with optimal innovation subsidy policies is less costly than increasing the price of the polluting good alone. Moreover, a discriminating innovation subsidy policy is preferable to a non-discriminating one.
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Drawing its information from different documents in Portuguese and French archives, this article examines the evolution of Portuguese colonial policies towards Islam, focusing on the special case of Mozambique. Such policies evolved from an attitude of neglect and open repression, prevalent in the early years of the colonial war that broke out in 1965, when Muslims were perceived as the main supporters of the anti-colonial guerrilla in northern Mozambique, to an approach that tried to isolate ‘African Muslims’ from foreign influences in order to align them with the Portuguese. The article analyses the latter strategy, assessing its successes and failures, and the contributions made by several of those who were involved.
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics
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A avaliação de terras é o processo que permite estimar o uso potencial da terra com base em seus atributos. Grande variedade de modelos analíticos pode ser usada neste processo. No Brasil, os dois sistemas de avaliação das terras mais utilizados são o Sistema de Classificação da Capacidade de Uso da Terra e o Sistema FAO/Brasileiro de Aptidão Agrícola das Terras. Embora difiram em vários aspectos, ambos exigem o cruzamento de inúmeras variáveis ambientais. O ALES (Automated Land Evaluation System) é um programa de computador que permite construir sistemas especialistas para avaliação de terras. As entidades avaliadas pelo ALES são as unidades de mapeamento, as quais podem ser de caráter generalizado ou detalhado. A área objeto desta avaliação é composta pelas microrregiões de Chapecó e Xanxerê, no Oeste catarinense, e engloba 54 municípios. Os dados sobre os solos e sobre as características da paisagem foram obtidos no levantamento de reconhecimento dos solos do Estado, na escala de 1:250.000. O presente estudo desenvolveu o sistema especialista ATOSC (Avaliação das Terras do Oeste de Santa Catarina) e, na sua construção, incluiu-se a definição dos requerimentos dos tipos de utilização da terra, bem como foi feita a subsequente comparação destes com os atributos de cada unidade de mapeamento. Os tipos de utilização da terra considerados foram: feijão, milho, soja e trigo, em cultivos solteiros, sob condições de sequeiro e de manejo característicos destas culturas no Estado. As informações sobre os recursos naturais compreendem os atributos climáticos, de solos e das condições da paisagem que interferem na produção destas culturas. Para cada tipo de utilização da terra foram especificados, no ATOSC, o código, o nome e seus respectivos requerimentos de uso da terra. Os requerimentos de cada cultura foram definidos por uma combinação específica das características das terras selecionadas, que determina o nível de severidade de cada um deles em relação à cultura. Estabeleceram-se quatro níveis de severidade que indicam aumento do grau de limitação ou diminuição do potencial para determinado tipo de uso da terra, a saber: limitação nula ou ligeira (favorável); limitação moderada (moderadamente favorável), limitação forte (pouco favorável); e limitação muito forte (desfavorável). Na árvore de decisão, componente básico do sistema especialista, são implementadas as regras que permitirão o enquadramento das terras em classes de adequação definidas, baseado na qualidade dos requerimentos de acordo com o tipo de uso. O ATOSC facilitou o processo de comparação entre as características das terras das microrregiões de Chapecó e Xanxerê e os requerimentos de uso considerados, por permitir efetuar automaticamente a avaliação das terras, reduzindo, assim, o tempo gasto neste processo. As terras das microrregiões de Chapecó e Xanxerê foram enquadradas, em sua maior parte, nas classes de adequação pouco favorável (3) e desfavorável (4) para os cultivos considerados. Os principais fatores limitantes identificados nestas microrregiões foram a fertilidade natural e o risco de erosão, para o feijão e o milho, e condições de mecanização e risco de erosão, para a soja e o trigo.
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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A Masters Thesis, presented as part of the requirements for the award of a Research Masters Degree in Economics from NOVA – School of Business and Economics
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A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics
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A Masters Thesis, presented as part of the requirements for the award of a Research Masters Degree in Economics from NOVA – School of Business and Economics
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In the last years, volunteers have been contributing massively to what we know nowadays as Volunteered Geographic Information. This huge amount of data might be hiding a vast geographical richness and therefore research needs to be conducted to explore their potential and use it in the solution of real world problems. In this study we conduct an exploratory analysis of data from the OpenStreetMap initiative. Using the Corine Land Cover database as reference and continental Portugal as the study area, we establish a possible correspondence between both classification nomenclatures, evaluate the quality of OpenStreetMap polygon features classification against Corine Land Cover classes from level 1 nomenclature, and analyze the spatial distribution of OpenStreetMap classes over continental Portugal. A global classification accuracy around 76% and interesting coverage areas’ values are remarkable and promising results that encourages us for future research on this topic.