987 resultados para Industrial location


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O desenvolvimento industrial no Espaço Organizado (EO) tem se dado através de políticas públicas e iniciativas privadas, atendendo, em alguns casos, aos fatores de competitividade para sua respectiva implementação, outras vezes nem tanto. O principal objetivo desse trabalho foi realizar uma análise dos fatores de competitividade dos distritos industriais do Estado do Rio de Janeiro, contribuindo, dessa forma, através dos resultados apresentados ao final do trabalho, para subsidiar novas políticas públicas e/ou suporte às iniciativas privadas, quando da atração, implantação, retenção e ampliação de indústrias e empresas correlacionadas, nesses espaços. A delimitação da amostra dos Espaços Organizados (EOs) foi definida em função da disponibilidade dos dados e homogeneidade da amostra, no caso, distritos industriais no Estado do Rio de Janeiro. Na execução das etapas do projeto para o cumprimento do seu objetivo principal, foram realizadas etapas intermediárias na seguinte forma: identificação da nomenclatura disponível para os tipos de EOs existentes; elaboração de proposta para a caracterização dos EOs; identificação dos fatores de competitividade dos EOs existentes no Estado do Rio de Janeiro; validação desses fatores de competitividade junto ao grupo entrevistado de representantes do governo, municípios, instituições de fomento e executivos das empresas em operação nas áreas estudadas; mapeamento dos EOs existentes no Estado do Rio de Janeiro e análise dos fatores de competitividade desses espaços, com suas correlações quanto a geração de emprego e atração de empresas. Por fim, após análise dos resultados, a discussão e as considerações finais apontaram tendências que poderão ser aprofundadas em futuros trabalhos de apoio na elaboração das estratégias públicas e/ou privadas que visam melhor aproveitamento e utilização dos EOs destinados ao desenvolvimento industrial.

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La estructura productiva de Jujuy en los últimos cincuenta años se ha caracterizado por la transición desde una economía centrada en la producción primaria (predominante hasta comienzos de la década de 1960) hacia otra con preeminencia creciente del sector terciario (desde mediados de la década de 1970 hasta la actualidad). El sector secundario nunca llegó a ser el más importante en el contexto económico provincial. Sin embargo, en una desagregación mayor, es la industria uno de los sectores que más aporta al producto bruto geográfico en los últimos quince años, con la particularidad de encontrarse concentrada en unas pocas localidades de la provincia. En ese marco, el presente trabajo se propone comprender la ubicación de las industrias en el territorio jujeño a partir de las teorías de la localización, con un análisis particular del caso de Palpalá (por su diseño de parques industriales destinado a aprovechar las economías de escala) y de la problemática ambiental generada por el sector. Se pretende responder a algunos de los siguientes interrogantes: ¿Qué criterios fueron tomados en cuenta para decidir la ubicación de cada fábrica? ¿Cómo incidieron los cambios políticos en la radicación industrial en territorio jujeño? ¿Qué reconversiones se fueron logrando a partir de una industria básica como la siderúrgica? ¿Cómo fue resolviéndose la demanda de bienes finales e intermedios ante el crecimiento poblacional y la inserción/reinserción de la mano de obra? ¿Qué vinculaciones se observan entre la provincia y la región desde el punto de vista de la ocupación del espacio económico? ¿Qué problemas sobre los recursos naturales suscita la industrialización? ¿Cómo responden el Estado y la actividad privada en la prevención y solución de los inconvenientes ambientales? El análisis se realiza sobre la base de la transferencia de teoría a la situación real, entrevistas a informantes especializados y relevamiento de información en organismos estatales (para interiorizarse de aspectos político/económicos), interpretándose luego de modo interdisciplinar los datos relevados. Las respuestas a los distintos interrogantes van elaborándose a medida que se encuentran las relaciones entre las razones que la historia reciente registra y la respuesta social y productiva de los actores económicos de la provincia. En ese sentido, entre las conclusiones se destaca la escasez de aportes foráneos en la construcción del sector industrial local, la necesidad de políticas que incentiven al sector manufacturero a nivel regional, así como la importancia de que se desplieguen acciones con respecto al control de la contaminación, su prevención y la restauración de recursos naturales: agua, suelo, atmósfera y biomas

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La estructura productiva de Jujuy en los últimos cincuenta años se ha caracterizado por la transición desde una economía centrada en la producción primaria (predominante hasta comienzos de la década de 1960) hacia otra con preeminencia creciente del sector terciario (desde mediados de la década de 1970 hasta la actualidad). El sector secundario nunca llegó a ser el más importante en el contexto económico provincial. Sin embargo, en una desagregación mayor, es la industria uno de los sectores que más aporta al producto bruto geográfico en los últimos quince años, con la particularidad de encontrarse concentrada en unas pocas localidades de la provincia. En ese marco, el presente trabajo se propone comprender la ubicación de las industrias en el territorio jujeño a partir de las teorías de la localización, con un análisis particular del caso de Palpalá (por su diseño de parques industriales destinado a aprovechar las economías de escala) y de la problemática ambiental generada por el sector. Se pretende responder a algunos de los siguientes interrogantes: ¿Qué criterios fueron tomados en cuenta para decidir la ubicación de cada fábrica? ¿Cómo incidieron los cambios políticos en la radicación industrial en territorio jujeño? ¿Qué reconversiones se fueron logrando a partir de una industria básica como la siderúrgica? ¿Cómo fue resolviéndose la demanda de bienes finales e intermedios ante el crecimiento poblacional y la inserción/reinserción de la mano de obra? ¿Qué vinculaciones se observan entre la provincia y la región desde el punto de vista de la ocupación del espacio económico? ¿Qué problemas sobre los recursos naturales suscita la industrialización? ¿Cómo responden el Estado y la actividad privada en la prevención y solución de los inconvenientes ambientales? El análisis se realiza sobre la base de la transferencia de teoría a la situación real, entrevistas a informantes especializados y relevamiento de información en organismos estatales (para interiorizarse de aspectos político/económicos), interpretándose luego de modo interdisciplinar los datos relevados. Las respuestas a los distintos interrogantes van elaborándose a medida que se encuentran las relaciones entre las razones que la historia reciente registra y la respuesta social y productiva de los actores económicos de la provincia. En ese sentido, entre las conclusiones se destaca la escasez de aportes foráneos en la construcción del sector industrial local, la necesidad de políticas que incentiven al sector manufacturero a nivel regional, así como la importancia de que se desplieguen acciones con respecto al control de la contaminación, su prevención y la restauración de recursos naturales: agua, suelo, atmósfera y biomas

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La estructura productiva de Jujuy en los últimos cincuenta años se ha caracterizado por la transición desde una economía centrada en la producción primaria (predominante hasta comienzos de la década de 1960) hacia otra con preeminencia creciente del sector terciario (desde mediados de la década de 1970 hasta la actualidad). El sector secundario nunca llegó a ser el más importante en el contexto económico provincial. Sin embargo, en una desagregación mayor, es la industria uno de los sectores que más aporta al producto bruto geográfico en los últimos quince años, con la particularidad de encontrarse concentrada en unas pocas localidades de la provincia. En ese marco, el presente trabajo se propone comprender la ubicación de las industrias en el territorio jujeño a partir de las teorías de la localización, con un análisis particular del caso de Palpalá (por su diseño de parques industriales destinado a aprovechar las economías de escala) y de la problemática ambiental generada por el sector. Se pretende responder a algunos de los siguientes interrogantes: ¿Qué criterios fueron tomados en cuenta para decidir la ubicación de cada fábrica? ¿Cómo incidieron los cambios políticos en la radicación industrial en territorio jujeño? ¿Qué reconversiones se fueron logrando a partir de una industria básica como la siderúrgica? ¿Cómo fue resolviéndose la demanda de bienes finales e intermedios ante el crecimiento poblacional y la inserción/reinserción de la mano de obra? ¿Qué vinculaciones se observan entre la provincia y la región desde el punto de vista de la ocupación del espacio económico? ¿Qué problemas sobre los recursos naturales suscita la industrialización? ¿Cómo responden el Estado y la actividad privada en la prevención y solución de los inconvenientes ambientales? El análisis se realiza sobre la base de la transferencia de teoría a la situación real, entrevistas a informantes especializados y relevamiento de información en organismos estatales (para interiorizarse de aspectos político/económicos), interpretándose luego de modo interdisciplinar los datos relevados. Las respuestas a los distintos interrogantes van elaborándose a medida que se encuentran las relaciones entre las razones que la historia reciente registra y la respuesta social y productiva de los actores económicos de la provincia. En ese sentido, entre las conclusiones se destaca la escasez de aportes foráneos en la construcción del sector industrial local, la necesidad de políticas que incentiven al sector manufacturero a nivel regional, así como la importancia de que se desplieguen acciones con respecto al control de la contaminación, su prevención y la restauración de recursos naturales: agua, suelo, atmósfera y biomas

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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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Trade affects the internal location of industry in two ways: it induces firms to specialize and it expands the set of markets that firms serve. If there are industry-specific external economies, firms in related industries will spatially agglomerate (Hanson 1996a). In the context of economic integration, diminished barriers to trade affect industry location particularly in less developed countries. As described below, regional agreements in North America and Europe have caused frontier regions to expand. These regions, which include border regions and port cities, have advantages over internal regions in terms of access to foreign markets. Since trade liberalization induces many firms in developing countries to participate in production networks and to specialize in labor-intensive activities such as assembling and processing of foreign-made components, their inputs as well as final products need to be carried across borders. Therefore, the best industry location, one that minimizes transport costs, is likely to shift to frontier regions. In East Asia, China has developed rapidly since it opened up to international trade. Simultaneously, a large amount of foreign direct investment (FDI) has been attracted and industry agglomerations have been formed in coastal regions, that is, frontier regions linked to the global market by sea, leaving many internal regions behind. Similarly, Cambodia, Laos, Myanmar, and Vietnam (CLMV) have joined AFTA and/or the WTO and liberalized international trade since the 1990s. Moreover, transport infrastructures such as the East-West Economic Corridor, the Southern Economic Corridor, and the North-South Economic Corridor have been built and narrowed economic distances in the Greater Mekong Subregion (GMS). As a result, frontier regions are likely to increase their location advantages and lure labor-intensive operations from neighboring countries. It is expected that, as has happened in North America and Europe, economic integration in East Asia will significantly affect internal geography in CLMV. In this study, I first review theories relevant to economic integration and industry location within a country. In particular, emphasis is placed on the new economic geography (NEG). Secondly, empirical results for North America and Europe are surveyed since they have preceded East Asia in regional integration and a substantial number of studies have been conducted on these regions. The final section summarizes and discusses implications for internal geography in CLMV.

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This paper examines Myanmar's industrial policy, structure, and locations during the transition from a centrally planned economy to a market-oriented one throughout the 1990s and up to the present. After the military government assumed power in 1988, it abandoned the socialist centrally planned economic system and began instituting a market-oriented one through a series of liberalization and deregulation measures, although most of which have stalled since 1997 and remain half-way implemented. Against this background, it is rather surprising that the impact of these new policies of international trade, finance, regulations, licensing and ownership requirements on industrial structure and location in Myanmar has been poorly documented and examined to date. Some key issues to understanding the impact and effectiveness of the market-oriented policies during the last two decades in Myanmar remain to be answered: Have the new trade and industrial policies changed the industrial structure and organizational behavior in Myanmar? Have they improved the performance of Myanmar's industrial sector? Have they had any impact on industry location in Myanmar? This paper reviews the series of liberalization programs implemented under the military government?the State Law and Order Restoration Council (SLORC) and the State Peace and Development Council (SPDC)?and assesses their impact on industrial structure and its spatial distribution.

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In the present global era in which firms choose the location of their plants beyond national borders, location characteristics are important for attracting multinational enterprises (MNEs). The better access to countries with large market is clearly attractive for MNEs. For example, special treatments on tariffs such as the Generalized System of Preferences (GSP) are beneficial for MNEs whose home country does not have such treatments. Not only such country characteristics but also region characteristics (i.e. province-level or city-level ones) matter, particularly in the case that location characteristics differ widely between a nation's regions. The existence of industrial concentration, that is, agglomeration, is a typical regional characteristic. It is with consideration of these country-level and region-level characteristics that MNEs decide their location abroad. A large number of academic studies have investigated in what kinds of countries MNEs locate, i.e. location choice analysis. Employing the usual new economic geography model (i.e. constant elasticity of substitution (CES) utility function, Dixit-Stiglitz monopolistic competition, and ice-berg trade costs), the literature derives the profit function, of which coefficients are estimated using maximum likelihood procedures. Recent studies are as follows: Head, Rise, and Swenson (1999) for Japanese MNEs in the US; Belderbos and Carree (2002) for Japanese MNEs in China; Head and Mayer (2004) for Japanese MNEs in Europe; Disdier and Mayer (2004) for French MNEs in Europe; Castellani and Zanfei (2004) for large MNEs worldwide; Mayer, Mejean, and Nefussi (2007) for French MNEs worldwide; Crozet, Mayer, and Mucchielli (2004) for MNEs in France; and Basile, Castellani, and Zanfei (2008) for MNEs in Europe. At the present time, three main topics can be found in this literature. The first introduces various location elements as independent variables. The above-mentioned new economic geography model usually yields the profit function, which is a function of market size, productive factor prices, price of intermediate goods, and trade costs. As a proxy for the price of intermediate goods, the measure of agglomeration is often used, particularly the number of manufacturing firms. Some studies employ more disaggregated numbers of manufacturing firms, such as the number of manufacturing firms with the same nationality as the firms choosing the location (e.g., Head et al., 1999; Crozet et al., 2004) or the number of firms belonging to the same firm group (e.g., Belderbos and Carree, 2002). As part of trade costs, some investment climate measures have been examined: free trade zones in the US (Head et al., 1999), special economic zones and opening coastal cities in China (Belderbos and Carree, 2002), and Objective 1 structural funds and cohesion funds in Europe (Basile et al., 2008). Second, the validity of proxy variables for location elements is further examined. Head and Mayer (2004) examine the validity of market potential on location choice. They propose the use of two measures: the Harris market potential index (Harris, 1954) and the Krugman-type index used in Redding and Venables (2004). The Harris-type index is simply the sum of distance-weighted real GDP. They employ the Krugman-type market potential index, which is directly derived from the new economic geography model, as it takes into account the extent of competition (i.e. price index) and is constructed using estimators of importing country dummy variables in the well-known gravity equation, as in Redding and Venables (2004). They find that "theory does not pay", in the sense that the Harris market potential outperforms Krugman's market potential in both the magnitude of its coefficient and the fit of the model to be estimated. The third topic explores the substitution of location by examining inclusive values in the nested-logit model. For example, using firm-level data on French investments both in France and abroad over the 1992-2002 period, Mayer et al. (2007) investigate the determinants of location choice and assess empirically whether the domestic economy has been losing attractiveness over the recent period or not. The estimated coefficient for inclusive value is strongly significant and near unity, indicating that the national economy is not different from the rest of the world in terms of substitution patterns. Similarly, Disdier and Mayer (2004) investigate whether French MNEs consider Western and Eastern Europe as two distinct groups of potential host countries by examining the coefficient for the inclusive value in nested-logit estimation. They confirm the relevance of an East-West structure in the country location decision and furthermore show that this relevance decreases over time. The purpose of this paper is to investigate the location choice of Japanese MNEs in Thailand, Cambodia, Laos, Myanmar, and Vietnam, and is closely related to the third topic mentioned above. By examining region-level location choice with the nested-logit model, I investigate the relative importance of not only country characteristics but also region characteristics. Such investigation is invaluable particularly in the case of location choice in those five countries: industrialization remains immature in those countries which have not yet succeeded in attracting enough MNEs, and as a result, it is expected that there are not yet crucial regional variations for MNEs within such a nation, meaning the country characteristics are still relatively important to attract MNEs. To illustrate, in the case of Cambodia and Laos, one of the crucial elements for Japanese MNEs would be that LDC preferential tariff schemes are available for exports from Cambodia and Laos. On the other hand, in the case of Thailand and Vietnam, which have accepted a relatively large number of MNEs and thus raised the extent of regional inequality, regional characteristics such as the existence of agglomeration would become important elements in location choice. Our sample countries seem, therefore, to offer rich variations for analyzing the relative importance between country characteristics and region characteristics. Our empirical strategy has a further advantage. As in the third topic in the location choice literature, the use of the nested-logit model enables us to examine substitution patterns between country-based and region-based location decisions by MNEs in the concerned countries. For example, it is possible to investigate empirically whether Japanese multinational firms consider Thailand/Vietnam and the other three countries as two distinct groups of potential host countries, by examining the inclusive value parameters in nested-logit estimation. In particular, our sample countries all experienced dramatic changes in, for example, economic growth or trade costs reduction during the sample period. Thus, we will find the dramatic dynamics of such substitution patterns. Our rigorous analysis of the relative importance between country characteristics and region characteristics is invaluable from the viewpoint of policy implications. First, while the former characteristics should be improved mainly by central government in each country, there is sometimes room for the improvement of the latter characteristics by even local governments or smaller institutions such as private agencies. Consequently, it becomes important for these smaller institutions to know just how crucial the improvement of region characteristics is for attracting foreign companies. Second, as economies grow, country characteristics become similar among countries. For example, the LCD preferential tariff schemes are available only when a country is less developed. Therefore, it is important particularly for the least developed countries to know what kinds of regional characteristics become important following economic growth; in other words, after their country characteristics become similar to those of the more developed countries. I also incorporate one important characteristic of MNEs, namely, productivity. The well-known Helpman-Melitz-Yeaple model indicates that only firms with higher productivity can afford overseas entry (Helpman et al., 2004). Beyond this argument, there may be some differences in MNEs' productivity among our sample countries and regions. Such differences are important from the viewpoint of "spillover effects" from MNEs, which are one of the most important results for host countries in accepting their entry. The spillover effects are that the presence of inward foreign direct investment (FDI) aises domestic firms' productivity through various channels such as imitation. Such positive effects might be larger in areas with more productive MNEs. Therefore, it becomes important for host countries to know how much productive firms are likely to invest in them. The rest of this paper is organized as follows. Section 2 takes a brief look at the worldwide distribution of Japanese overseas affiliates. Section 3 provides an empirical model to examine their location choice, and lastly, we discuss future works to estimate our model.

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We address a cognitive radio scenario, where a number of secondary users performs identification of which primary user, if any, is trans- mitting, in a distributed way and using limited location information. We propose two fully distributed algorithms: the first is a direct iden- tification scheme, and in the other a distributed sub-optimal detection based on a simplified Neyman-Pearson energy detector precedes the identification scheme. Both algorithms are studied analytically in a realistic transmission scenario, and the advantage obtained by detec- tion pre-processing is also verified via simulation. Finally, we give details of their fully distributed implementation via consensus aver- aging algorithms.

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Prepared under contract DCPAO1-75-C-0279, Work unit 2312E, by Center for Planning and Research, Inc., 750 Welch Road ,Palo Alto, CA.

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pt. 1. Food and kindred products; tobacco manufactures.--pt. 2. Textile mill products; apparel and related products; leather and leather goods.--pt. 3. Lumber and wood products; furniture and fixtures.--pt. 4. Pulp, paper, and products; printing and publishing.--pt. 5. Chemical and products: petroleum and coal products; rubber products.--pt. 6. Stone, clay, and glass products; miscellaneous manufactures.--pt. 7. Primary metal industries; fabricated metal products.--pt. 8. Machinery, except electrical; electrical machinery.--pt. 9. Transportation equipment; instruments and related products.

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Photocopy.

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"Prepared as a contribution to the National Resources Planning Board's Industrial location report."