957 resultados para F6 - Economic Impacts of Globalization


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The terminator gene can render seeds sterile, so forcing farmers to purchase fresh seed every year. It is a technological solution to the problem of market failure that could increase the appropriability of R&D investment more effectively than intellectual property rights legislation or patents. This paper shows that appropriability should be more than tripled and that this leads to greater private R&D investment, which may be expected to double or triple. This would bring open-pollinating varieties into line with F1 hybrids, for which seed cannot be saved. In turn, the increased investment should raise yield increases to levels similar to those for hybrid crops. Thus, there are benefits to set against the possible ecological and environmental costs and the clear distributional and social consequences. The paper discusses the way the seed market is developing, the possible impacts, especially from a developing country viewpoint, and considers the policy changes that are needed.

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Includes bibliography

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Includes bibliography

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The tourism spending like other activities has direct and secondary effects on the economy, and presents complex interaction with other activities deserving a special treatment for measuring its contribution to the global result of production and consumption. In this paper, it is used the Money Generation Model to measure the global economic impact of tourism sales in Ouro Preto, this method is not so limited by the data and it is able to produce good approximations to reality. It was not possible to adopt the WTO methodology due to data limitation. The results revealed the real importance of tourism for Ouro Preto, representing up to 10.4% of GDP in 2002, up to 21.8% of tax revenues in 2004, and approximately 11% of the region’s population in 2002 was related to tourism sales. Some actions can be outlined from these results in order to illustrate the current economic reality of the tourism in Ouro Preto. It is also possible to improve the tourist planning accomplished by the local City Hall in a coherent way with the economic results generated by the tourism.

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In order to illustrate how the input-output approach can be used to explore various aspects of a country's participation in GVCs, this paper applies indicators derived from the concept of trade in value-added (TiVA) to the case of Costa Rica. We intend to provide developing countries that seek to foster GVC-driven structural transformation with an example that demonstrates an effective way to measure progress. The analysis presented in this paper makes use of an International Input-Output Table (IIOT) that was constructed by including Costa Rica's first Input-Output Table (IOT) into an existing IIOT. The TiVA indicator has been used to compare and contrast import flows, export flows and bilateral trade balances in terms of gross trade and trade in value-added. The country's comparative advantage is discussed based on a TiVA-related indicator of revealed comparative advantage. The paper also decomposes the domestic content of value added in each sector and measures the degree of fragmentation in the value chains in which Costa Rica participates, highlighting the partner countries that add the most value.

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The Geographical Simulation Model developed by IDE-JETRO (IDE-GSM) is a computer simulation model based on spatial economics. IDE-GSM enables us to predict the economic impacts of various trade and transport facilitation measures. Here, we mainly compare the prioritized projects of the Master Plan on ASEAN Connectivity (MPAC) and the Comprehensive Asia Development Plan (CADP). MPAC focus on specific hard or soft infrastructure projects that connect one ASEAN member state to another while the CADP emphasizes the importance of economic corridors or linkages between a large cluster and another cluster. As compared with MPAC projects, the simulation analysis shows that CADP projects have much larger positive impacts on ASEAN countries.

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A plan to construct a canal through the Kra Isthmus in Southern Thailand has been proposed many times since the 17th century. The proposed canal would become an alternative route to the over-crowded Straits of Malacca. In this paper, we attempt to utilize a Geographical Information System (GIS) to calculate the realistic distances between ports that would be affected by the Kra Canal and to estimate the economic impact of the canal using a simulation model based on spatial economics. We find that China, India, Japan, and Europe gain the most from the construction of the canal, besides Thailand. On the other hand, the routes through the Straits of Malacca are largely beneficial to Malaysia, Brunei, and Indonesia, besides Singapore. Thus, it is beneficial for all ASEAN member countries that the Kra Canal and the Straits of Malacca coexist and complement one another.

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Transportation infrastructure is known to affect the value of real estate property by virtue of changes in accessibility. The impact of transportation facilities is highly localized as well, and it is possible that spillover effects result from the capitalization of accessibility. The objective of this study was to review the theoretical background related to spatial hedonic models and the opportunities that they provided to evaluate the effect of new transportation infrastructure. An empirical case study is presented: the Madrid Metro Line 12, known as Metrosur, in the region of Madrid, Spain. The effect of proximity to metro stations on housing prices was evaluated. The analysis took into account a host of variables, including structure, location, and neighborhood and made use of three modeling approaches: linear regression estimation with ordinary least squares, spatial error, and spatial lag. The results indicated that better accessibility to Metrosur stations had a positive impact on real estate values and that the effect was marked in cases in which a house was for sale. The results also showed the presence of submarkets, which were well defined by geographic boundaries, and transport fares, which implied that the economic benefits differed across municipalities.

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The economic evaluation of drought impacts is essential in order to define efficient and sustainable management and mitigation strategies. The aim of this study is to evaluate the economic impacts of a drought event on the agricultural sector and measure how they are transmitted from primary production to industrial output and related employment. We fit econometric models to determine the magnitude of the economic loss attributable to water storage. The direct impacts of drought on agricultural productivity are measured through a direct attribution model. Indirect impacts on agricultural employment and the agri-food industry are evaluated through a nested indirect attribution model. The transmission of water scarcity effects from agricultural production to macroeconomic variables is measured through chained elasticities. The models allow for differentiating the impacts deriving from water scarcity from other sources of economic losses. Results show that the importance of drought impacts are less relevant at the macroeconomic level, but are more significant for those activities directly dependent on water abstractions and precipitation. From a management perspective, implications of these findings are important to develop effective mitigation strategies to reduce drought risk exposure.

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An integrated approach composed of a random utility-based multiregional input-output model and a road transport network model was developed for evaluating the application of a fee to heavy-goods vehicles (HGVs) in Spain. For this purpose, a distance-based charge scenario (in euros per vehicle kilometer) for HGVs was evaluated for a selected motorway network in Spain. Although the aim of this charging policy was to increase the efficiency of transport, the approach strongly identified direct and indirect impacts on the regional economy. Estimates of the magnitude and extent of indirect effects on aggregated macroeconomic indicators (employment and gross domestic product) are provided. The macroeconomic effects of the charging policy were found to be positive for some regions and negative for other regions.

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Projections for world food production and prices play a crucial role to evaluate and tackle future food security challenges. Understanding how these projections will be affected by climate change is the main objective of this study. By means of a bio-economic approach we assess the economic impacts of climate change on agrifood markets, providing both a global analysis and a regionalised evaluation within the EU. To account for uncertainty, we analyse the IPCC emission scenario A1B for the 2030 horizon under several simulation scenarios that differ in (1) the climate projection, from HadleyCM3 (warm) or ECHAM5 (mild) global circulation models; and (2) the influence of CO2 effects. Results of this study indicate that agrifood market projections to 2030 are very sensitive to climate change uncertainties and, in particular to the magnitude of the carbon fertilization effect.