862 resultados para New economic geography
Resumo:
En el Gran La Plata las políticas económicas implementadas durante el régimen de convertibilidad profundizaron la desindustrialización y reestructuración de los años 70 y provocaron un achicamiento general del sector industrial y una fuerte expulsión de mano de obra y precarización laboral. La recesión y crisis del régimen de convertibilidad incrementaron el deterioro de la actividad económica y el quiebre de empresas, ante lo cual trabajadores de algunas industrias de la región decidieron impedir el cierre de las mismas permaneciendo en los establecimientos para evitar el desempleo. La situación más significativa es la de la actual Cooperativa Unión Papelera Platense la que, una vez lograda la compra de la empresa luego de su recuperación, orientó su estrategia hacia su consolidación y a enfrentar las problemáticas que afectan al conjunto de las pymes industriales: sostenimiento en el mercado, dificultades de financiamiento, incremento de los costos internos
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El presente trabajo aborda los presupuestos centrales de la Nueva Economía Institucional y su aplicación para la comprensión del período tardocolonial rioplatense. A partir del análisis de la obra de Douglas North señala los aportes, los riesgos y las tensiones de una historia que enfatiza el papel desempañado por los factores institucionales.
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This paper develops a model of a spatial economy in which interregional trade patterns and the structure of the transport network are determined endogenously as a result of the interaction between industrial location behavior and increasing returns in transportation, in particular, economies of transport density. The traditional models assume either the structure of the transport network or industrial location patterns, and hence, they are unable to explain the interdependence of the two. It is shown that economies of transport density can be the primary source of industrial localization.
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Rural road in Lao PDR defined as connecting road from village to main road, where it will lead them to market and access to other economic and social service facilities. However, due to mostly rural people accustom with subsistence farming, connecting road seems less important for rural people as their main farming produce is for own consumption rather than markets. After the introduction and implementation of New Economic Mechanism (NEM) since 1986, many rural villages have gradually developed and integrated into market system where people have significantly changed their livelihood with a better system. This progress has significantly contributed in improving income earning of people, better living standard and reduce poverty. The paper aims to illustrate the significant of rural road as connecting road from village to markets or a market access approach of farm produces. It also demonstrates through which approach, rural farmers/people could improve their income earning, develop their farming system, living standard and reduce poverty.
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It is important to be able to predict changes in the location of populations and industries in regions that are in the process of economic integration. The IDE Geographical Simulation Model (IDE-GSM) has been developed with two major objectives: (1) to determine the dynamics of locations of populations and industries in East Asia in the long-term, and (2) to analyze the impact of specific infrastructure projects on the regional economy at sub-national levels. The basic structure of the IDE-GSM is introduced in this article and accompanied with results of test analyses on the effects of the East West Economic Corridor on regions in Continental South East Asia. Results indicate that border costs appear to play a big role in the location choice of populations and industries, often a more important role than physical infrastructures themselves.
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In literature related to firm location choice, estimation equations are derived from the model of finished goods producers, but producer types are generally not considered. Research presented in this paper shows that the use of equations derived from such models against intermediate goods producers results in several problems.
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This essay reexamines the great contributions made by Dr. Ali Al-Gritly to Egypt. He was the finance minister for a short period at the beginning of the 1950s and later was appointed as chairman of the Bank of Alexandria. In 1966, he completed a book (Al-Gritly [1966 (1974)]) on the economic history of Egypt. However, the book was banned from publication due to irresistible circumstances. At that time, with Arab Socialism on the ascendance, his views on certain policies were not welcomed by the top political hierarchy. In 1974, the book was finally allowed to be published, and he wrote and published another book in 1977 (Al-Gritly [1977]) on the development of the Open Door Policy and the new economic policies accompanying it.
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2009年度調査研究報告書
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Measures have been developed to understand tendencies in the distribution of economic activity. The merits of these measures are in the convenience of data collection and processing. In this interim report, investigating the property of such measures to determine the geographical spread of economic activities, we summarize the merits and limitations of measures, and make clear that we must apply caution in their usage. As a first trial to access areal data, this project focus on administrative areas, not on point data and input-output data. Firm level data is not within the scope of this article. The rest of this article is organized as follows. In Section 2, we touch on the the limitations and problems associated with the measures and areal data. Specific measures are introduced in Section 3, and applied in Section 4. The conclusion summarizes the findings and discusses future work.
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The Thein Sein government of Myanmar seeks higher and balanced economic growth. This is a challenge for the government since some economic literature identifies a trade-off between higher economic growth and better regional equality, especially for countries in the early stages of development. In this paper, we propose a two-polar growth strategy as one that includes both "high" and "balanced" growth. The first growth pole is Yangon, and the second is Mandalay. Nay Pyi Taw, the national capital, will develop as an administrative centre, not as an economic or commercial one. We also propose border development with enhanced connectivity with richer neighboring countries as a complementary strategy to the two growth poles. Effects of the two-polar growth strategy with border development are tested using a Geographical Simulation Model (GSM).
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By analyzing a comprehensive dataset on transport transactions in Japan, we describe a directional imbalance in freight rates by transport mode and examine its potential sources, such as economies of density and directionally imbalanced transport flow. There are certain numbers of observed links which show asymmetric transport costs. Instrumental variable analysis is used to show that economies of density account for deviation from symmetric freight rates between prefectures. Our results show that a 10% increase in outbound transport flow relative to inbound transport flow leads to a 2.1% decrease in outbound freight rate relative to inbound freight rate.
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This paper examines the conventional assumption that bilateral transport costs are symmetric. We develop an economic geography model with transport sector in which asymmetric freight rates can occur as a result of density economies. Comparing this to models without density economies, we show that agglomeration of economic activities is more likely to emerge and that multiple equilibria can emerge for some parameters. Then we show the change in its bifurcation and stability of equilibrium and conclude that economies of density in transport flows can act as an agglomeration force.
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The seriousness of the current crisis urgently demands new economic thinking that breaks the austerity vs. deficit spending circle in economic policy. The core tenet of the paper is that the most important problems that natural and social science are facing today are inverse problems, and that a new approach that goes beyond optimization is necessary. The approach presented here is radical in the sense that it identifies the roots in key assumptions in economic theory such as optimal behavior and stability to provide an inverse thinking perspective to economic modeling, of use in economic and financial stability policy. The inverse problem provides a truly multidisciplinary platform where related problems from different disciplines can be studied under a common approach with comparable results.
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Los servicios telemáticos han transformando la mayoría de nuestras actividades cotidianas y ofrecen oportunidades sin precedentes con características como, por ejemplo, el acceso ubicuo, la disponibilidad permanente, la independencia del dispositivo utilizado, la multimodalidad o la gratuidad, entre otros. No obstante, los beneficios que destacan en cuanto se reflexiona sobre estos servicios, tienen como contrapartida una serie de riesgos y amenazas no tan obvios, ya que éstos se nutren de y tratan con datos personales, lo cual suscita dudas respecto a la privacidad de las personas. Actualmente, las personas que asumen el rol de usuarios de servicios telemáticos generan constantemente datos digitales en distintos proveedores. Estos datos reflejan parte de su intimidad, de sus características particulares, preferencias, intereses, relaciones sociales, hábitos de consumo, etc. y lo que es más controvertido, toda esta información se encuentra bajo la custodia de distintos proveedores que pueden utilizarla más allá de las necesidades y el control del usuario. Los datos personales y, en particular, el conocimiento sobre los usuarios que se puede extraer a partir de éstos (modelos de usuario) se han convertido en un nuevo activo económico para los proveedores de servicios. De este modo, estos recursos se pueden utilizar para ofrecer servicios centrados en el usuario basados, por ejemplo, en la recomendación de contenidos, la personalización de productos o la predicción de su comportamiento, lo cual permite a los proveedores conectar con los usuarios, mantenerlos, involucrarlos y en definitiva, fidelizarlos para garantizar el éxito de un modelo de negocio. Sin embargo, dichos recursos también pueden utilizarse para establecer otros modelos de negocio que van más allá de su procesamiento y aplicación individual por parte de un proveedor y que se basan en su comercialización y compartición con otras entidades. Bajo esta perspectiva, los usuarios sufren una falta de control sobre los datos que les refieren, ya que esto depende de la voluntad y las condiciones impuestas por los proveedores de servicios, lo cual implica que habitualmente deban enfrentarse ante la disyuntiva de ceder sus datos personales o no acceder a los servicios telemáticos ofrecidos. Desde el sector público se trata de tomar medidas que protejan a los usuarios con iniciativas y legislaciones que velen por su privacidad y que aumenten el control sobre sus datos personales, a la vez que debe favorecer el desarrollo económico propiciado por estos proveedores de servicios. En este contexto, esta tesis doctoral propone una arquitectura y modelo de referencia para un ecosistema de intercambio de datos personales centrado en el usuario que promueve la creación, compartición y utilización de datos personales y modelos de usuario entre distintos proveedores, al mismo tiempo que ofrece a los usuarios las herramientas necesarias para ejercer su control en cuanto a la cesión y uso de sus recursos personales y obtener, en su caso, distintos incentivos o contraprestaciones económicas. Las contribuciones originales de la tesis son la especificación y diseño de una arquitectura que se apoya en un proceso de modelado distribuido que se ha definido en el marco de esta investigación. Éste se basa en el aprovechamiento de recursos que distintas entidades (fuentes de datos) ofrecen para generar modelos de usuario enriquecidos que cubren las necesidades específicas de terceras entidades, considerando la participación del usuario y el control sobre sus recursos personales (datos y modelos de usuario). Lo anterior ha requerido identificar y caracterizar las fuentes de datos con potencial de abastecer al ecosistema, determinar distintos patrones para la generación de modelos de usuario a partir de datos personales distribuidos y heterogéneos y establecer una infraestructura para la gestión de identidad y privacidad que permita a los usuarios expresar sus preferencias e intereses respecto al uso y compartición de sus recursos personales. Además, se ha definido un modelo de negocio de referencia que sustenta las investigaciones realizadas y que ha sido particularizado en dos ámbitos de aplicación principales, en concreto, el sector de publicidad en redes sociales y el sector financiero para la implantación de nuevos servicios. Finalmente, cabe destacar que las contribuciones de esta tesis han sido validadas en el contexto de distintos proyectos de investigación industrial aplicada y también en el marco de proyectos fin de carrera que la autora ha tutelado o en los que ha colaborado. Los resultados obtenidos han originado distintos méritos de investigación como dos patentes en explotación, la publicación de un artículo en una revista con índice de impacto y diversos artículos en congresos internacionales de relevancia. Algunos de éstos han sido galardonados con premios de distintas instituciones, así como en las conferencias donde han sido presentados. ABSTRACT Information society services have changed most of our daily activities, offering unprecedented opportunities with certain characteristics, such as: ubiquitous access, permanent availability, device independence, multimodality and free-of-charge services, among others. However, all the positive aspects that emerge when thinking about these services have as counterpart not-so-obvious threats and risks, because they feed from and use personal data, thus creating concerns about peoples’ privacy. Nowadays, people that play the role of user of services are constantly generating digital data in different service providers. These data reflect part of their intimacy, particular characteristics, preferences, interests, relationships, consumer behavior, etc. Controversy arises because this personal information is stored and kept by the mentioned providers that can use it beyond the user needs and control. Personal data and, in particular, the knowledge about the user that can be obtained from them (user models) have turned into a new economic asset for the service providers. In this way, these data and models can be used to offer user centric services based, for example, in content recommendation, tailored-products or user behavior, all of which allows connecting with the users, keeping them more engaged and involved with the provider, finally reaching customer loyalty in order to guarantee the success of a business model. However, these resources can be used to establish a different kind of business model; one that does not only processes and individually applies personal data, but also shares and trades these data with other entities. From that perspective, the users lack control over their referred data, because it depends from the conditions imposed by the service providers. The consequence is that the users often face the following dilemma: either giving up their personal data or not using the offered services. The Public Sector takes actions in order to protect the users approving, for example, laws and legal initiatives that reinforce privacy and increase control over personal data, while at the same time the authorities are also key players in the economy development that derives from the information society services. In this context, this PhD Dissertation proposes an architecture and reference model to achieve a user-centric personal data ecosystem that promotes the creation, sharing and use of personal data and user models among different providers, while offering users the tools to control who can access which data and why and if applicable, to obtain different incentives. The original contributions obtained are the specification and design of an architecture that supports a distributed user modelling process defined by this research. This process is based on leveraging scattered resources of heterogeneous entities (data sources) to generate on-demand enriched user models that fulfill individual business needs of third entities, considering the involvement of users and the control over their personal resources (data and user models). This has required identifying and characterizing data sources with potential for supplying resources, defining different generation patterns to produce user models from scattered and heterogeneous data, and establishing identity and privacy management infrastructures that allow users to set their privacy preferences regarding the use and sharing of their resources. Moreover, it has also been proposed a reference business model that supports the aforementioned architecture and this has been studied for two application fields: social networks advertising and new financial services. Finally, it has to be emphasized that the contributions obtained in this dissertation have been validated in the context of several national research projects and master thesis that the author has directed or has collaborated with. Furthermore, these contributions have produced different scientific results such as two patents and different publications in relevant international conferences and one magazine. Some of them have been awarded with different prizes.