907 resultados para Gross national product


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Entro l’approccio concettuale e metodologico transdisciplinare della Scienza della Sostenibilità, la presente tesi elabora un background teorico per concettualizzare una definizione di sostenibilità sulla cui base proporre un modello di sviluppo alternativo a quello dominante, declinato in termini di proposte concrete entro il caso-studio di regolazione europea in materia di risparmio energetico. La ricerca, attraverso un’analisi transdisciplinare, identifica una crisi strutturale del modello di sviluppo dominante basato sulla crescita economica quale (unico) indicatore di benessere e una crisi valoriale. L’attenzione si concentra quindi sull’individuazione di un paradigma idoneo a rispondere alle criticità emerse dall’analisi. A tal fine vengono esaminati i concetti di sviluppo sostenibile e di sostenibilità, arrivando a proporre un nuovo paradigma (la “sostenibilità ecosistemica”) che dia conto dell’impossibilità di una crescita infinita su un sistema caratterizzato da risorse limitate. Vengono poi presentate delle proposte per un modello di sviluppo sostenibile alternativo a quello dominante. Siffatta elaborazione teorica viene declinata in termini concreti mediante l’elaborazione di un caso-studio. A tal fine, viene innanzitutto analizzata la funzione della regolazione come strumento per garantire l’applicazione pratica del modello teorico. L’attenzione è concentrata sul caso-studio rappresentato dalla politica e regolazione dell’Unione Europea in materia di risparmio ed efficienza energetica. Dall’analisi emerge una progressiva commistione tra i due concetti di risparmio energetico ed efficienza energetica, per la quale vengono avanzate delle motivazioni e individuati dei rischi in termini di effetti rebound. Per rispondere alle incongruenze tra obiettivo proclamato dall’Unione Europea di riduzione dei consumi energetici e politica effettivamente perseguita, viene proposta una forma di “regolazione per la sostenibilità” in ambito abitativo residenziale che, promuovendo la condivisione dei servizi energetici, recuperi il significato proprio di risparmio energetico come riduzione del consumo mediante cambiamenti di comportamento, arricchendolo di una nuova connotazione come “bene relazionale” per la promozione del benessere relazionale ed individuale.

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FRAX-based cost-effective intervention thresholds in the Swiss setting were determined. Assuming a willingness to pay at 2× Gross Domestic Product per capita, an intervention aimed at reducing fracture risk in women and men with a 10-year probability for a major osteoporotic fracture at or above 15% is cost-effective.

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Switzerland has the second-most-expensive healthcare system worldwide, with 11.5% of gross domestic product spent on health care in 2003. Switzerland has a healthcare system with universal insurance coverage and a social insurance system, ensuring an adequate financial situation for 96% of the 1.1 million older inhabitants. Key concerns related to the care of older persons are topics such as increasing healthcare costs, growing public awareness of patient autonomy, and challenges related to assisted suicide. In 2004, the Swiss Academy of Medical Sciences issued guidelines for the care of disabled older persons. Since 2000, geriatrics has been a board-certified discipline with a 3-year training program in addition to 5 years of training in internal or family medicine. There are approximately 125 certified geriatricians in Switzerland, working primarily in geriatric centers in urban areas. Switzerland has an excellent research environment, ranking second of all countries worldwide in life sciences research-but only 13th in aging research. This is in part due to a lack of specific training programs promoting research on aging and inadequate funding. In addition, there is a shortage of academic geriatricians in Switzerland, in part due to the fact that two of five Swiss universities had no academic geriatric departments in 2005. With more-adequate financial resources for academic geriatrics, Switzerland would have the opportunity to contribute more to aging research internationally and to improved care for older patients.

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Metals price risk management is a key issue related to financial risk in metal markets because of uncertainty of commodity price fluctuation, exchange rate, interest rate changes and huge price risk either to metals’ producers or consumers. Thus, it has been taken into account by all participants in metal markets including metals’ producers, consumers, merchants, banks, investment funds, speculators, traders and so on. Managing price risk provides stable income for both metals’ producers and consumers, so it increases the chance that a firm will invest in attractive projects. The purpose of this research is to evaluate risk management strategies in the copper market. The main tools and strategies of price risk management are hedging and other derivatives such as futures contracts, swaps and options contracts. Hedging is a transaction designed to reduce or eliminate price risk. Derivatives are financial instruments, whose returns are derived from other financial instruments and they are commonly used for managing financial risks. Although derivatives have been around in some form for centuries, their growth has accelerated rapidly during the last 20 years. Nowadays, they are widely used by financial institutions, corporations, professional investors, and individuals. This project is focused on the over-the-counter (OTC) market and its products such as exotic options, particularly Asian options. The first part of the project is a description of basic derivatives and risk management strategies. In addition, this part discusses basic concepts of spot and futures (forward) markets, benefits and costs of risk management and risks and rewards of positions in the derivative markets. The second part considers valuations of commodity derivatives. In this part, the options pricing model DerivaGem is applied to Asian call and put options on London Metal Exchange (LME) copper because it is important to understand how Asian options are valued and to compare theoretical values of the options with their market observed values. Predicting future trends of copper prices is important and would be essential to manage market price risk successfully. Therefore, the third part is a discussion about econometric commodity models. Based on this literature review, the fourth part of the project reports the construction and testing of an econometric model designed to forecast the monthly average price of copper on the LME. More specifically, this part aims at showing how LME copper prices can be explained by means of a simultaneous equation structural model (two-stage least squares regression) connecting supply and demand variables. A simultaneous econometric model for the copper industry is built: {█(Q_t^D=e^((-5.0485))∙P_((t-1))^((-0.1868) )∙〖GDP〗_t^((1.7151) )∙e^((0.0158)∙〖IP〗_t ) @Q_t^S=e^((-3.0785))∙P_((t-1))^((0.5960))∙T_t^((0.1408))∙P_(OIL(t))^((-0.1559))∙〖USDI〗_t^((1.2432))∙〖LIBOR〗_((t-6))^((-0.0561))@Q_t^D=Q_t^S )┤ P_((t-1))^CU=e^((-2.5165))∙〖GDP〗_t^((2.1910))∙e^((0.0202)∙〖IP〗_t )∙T_t^((-0.1799))∙P_(OIL(t))^((0.1991))∙〖USDI〗_t^((-1.5881))∙〖LIBOR〗_((t-6))^((0.0717) Where, Q_t^D and Q_t^Sare world demand for and supply of copper at time t respectively. P(t-1) is the lagged price of copper, which is the focus of the analysis in this part. GDPt is world gross domestic product at time t, which represents aggregate economic activity. In addition, industrial production should be considered here, so the global industrial production growth that is noted as IPt is included in the model. Tt is the time variable, which is a useful proxy for technological change. A proxy variable for the cost of energy in producing copper is the price of oil at time t, which is noted as POIL(t ) . USDIt is the U.S. dollar index variable at time t, which is an important variable for explaining the copper supply and copper prices. At last, LIBOR(t-6) is the 6-month lagged 1-year London Inter bank offering rate of interest. Although, the model can be applicable for different base metals' industries, the omitted exogenous variables such as the price of substitute or a combined variable related to the price of substitutes have not been considered in this study. Based on this econometric model and using a Monte-Carlo simulation analysis, the probabilities that the monthly average copper prices in 2006 and 2007 will be greater than specific strike price of an option are defined. The final part evaluates risk management strategies including options strategies, metal swaps and simple options in relation to the simulation results. The basic options strategies such as bull spreads, bear spreads and butterfly spreads, which are created by using both call and put options in 2006 and 2007 are evaluated. Consequently, each risk management strategy in 2006 and 2007 is analyzed based on the day of data and the price prediction model. As a result, applications stemming from this project include valuing Asian options, developing a copper price prediction model, forecasting and planning, and decision making for price risk management in the copper market.

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The western North Pacific (WNP) is the area of the world most frequently affected by tropical cyclones (TCs). However, little is known about the socio-economic impacts of TCs in this region, probably because of the limited relevant loss data. Here, loss data from Munich RE's NatCatSERVICE database is used, a high-quality and widely consulted database of natural disasters. In the country-level loss normalisation technique we apply, the original loss data are normalised to present-day exposure levels by using the respective country's nominal gross domestic product at purchasing power parity as a proxy for wealth. The main focus of our study is on the question of whether the decadal-scale TC variability observed in the Northwest Pacific region in recent decades can be shown to manifest itself economically in an associated variability in losses. It is shown that since 1980 the frequency of TC-related loss events in the WNP exhibited, apart from seasonal and interannual variations, interdecadal variability with a period of about 22 yr – driven primarily by corresponding variations of Northwest Pacific TCs. Compared to the long-term mean, the number of loss events was found to be higher (lower) by 14% (9%) in the positive (negative) phase of the decadal-scale WNP TC frequency variability. This was identified for the period 1980–2008 by applying a wavelet analysis technique. It was also possible to demonstrate the same low-frequency variability in normalised direct economic losses from TCs in the WNP region. The identification of possible physical mechanisms responsible for the observed decadal-scale Northwest Pacific TC variability will be the subject of future research, even if suggestions have already been made in earlier studies.

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Accurate assessments of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the climate policy process, and project future climate change. Present-day analysis requires the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. Here we describe datasets and a methodology developed by the global carbon cycle science community to quantify all major components of the global carbon budget, including their uncertainties. We discuss changes compared to previous estimates, consistency within and among components, and methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics, while emissions from Land-Use Change (ELUC), including deforestation, are based on combined evidence from land cover change data, fire activity in regions undergoing deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. Finally, the global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms. For the last decade available (2002–2011), EFF was 8.3 ± 0.4 PgC yr−1, ELUC 1.0 ± 0.5 PgC yr−1, GATM 4.3 ± 0.1 PgC yr−1, SOCEAN 2.5 ± 0.5 PgC yr−1, and SLAND 2.6 ± 0.8 PgC yr−1. For year 2011 alone, EFF was 9.5 ± 0.5 PgC yr−1, 3.0 percent above 2010, reflecting a continued trend in these emissions; ELUC was 0.9 ± 0.5 PgC yr−1, approximately constant throughout the decade; GATM was 3.6 ± 0.2 PgC yr−1, SOCEAN was 2.7 ± 0.5 PgC yr−1, and SLAND was 4.1 ± 0.9 PgC yr−1. GATM was low in 2011 compared to the 2002–2011 average because of a high uptake by the land probably in response to natural climate variability associated to La Niña conditions in the Pacific Ocean. The global atmospheric CO2 concentration reached 391.31 ± 0.13 ppm at the end of year 2011. We estimate that EFF will have increased by 2.6% (1.9–3.5%) in 2012 based on projections of gross world product and recent changes in the carbon intensity of the economy. All uncertainties are reported as ±1 sigma (68% confidence assuming Gaussian error distributions that the real value lies within the given interval), reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. This paper is intended to provide a baseline to keep track of annual carbon budgets in the future.

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Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the climate policy process, and project future climate change. Present-day analysis requires the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. Here we describe datasets and a methodology developed by the global carbon cycle science community to quantify all major components of the global carbon budget, including their uncertainties. We discuss changes compared to previous estimates, consistency within and among components, and methodology and data limitations. Based on energy statistics, we estimate that the global emissions of CO2 from fossil fuel combustion and cement production were 9.5 ± 0.5 PgC yr−1 in 2011, 3.0 percent above 2010 levels. We project these emissions will increase by 2.6% (1.9–3.5%) in 2012 based on projections of Gross World Product and recent changes in the carbon intensity of the economy. Global net CO2 emissions from Land-Use Change, including deforestation, are more difficult to update annually because of data availability, but combined evidence from land cover change data, fire activity in regions undergoing deforestation and models suggests those net emissions were 0.9 ± 0.5 PgC yr−1 in 2011. The global atmospheric CO2 concentration is measured directly and reached 391.38 ± 0.13 ppm at the end of year 2011, increasing 1.70 ± 0.09 ppm yr−1 or 3.6 ± 0.2 PgC yr−1 in 2011. Estimates from four ocean models suggest that the ocean CO2 sink was 2.6 ± 0.5 PgC yr−1 in 2011, implying a global residual terrestrial CO2 sink of 4.1 ± 0.9 PgC yr−1. All uncertainties are reported as ±1 sigma (68% confidence assuming Gaussian error distributions that the real value lies within the given interval), reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. This paper is intended to provide a baseline to keep track of annual carbon budgets in the future.

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Mobile pastoralists provide major contributions to the gross domestic product in Chad, but little information is available regarding their demography. The Lake Chad area population is increasing, resulting in competition for scarce land and water resources. For the first time, the density of people and animals from mobile and sedentary populations was assessed using randomly defined sampling areas. Four sampling rounds were conducted over two years in the same areas to show population density dynamics. We identified 42 villages of sedentary communities in the sampling zones; 11 (in 2010) and 16 (in 2011) mobile pastoralist camps at the beginning of the dry season and 34 (in 2011) and 30 (in 2012) camps at the end of the dry season. A mean of 64.0 people per km2 (95% confidence interval, 20.3-107.8) were estimated to live in sedentary villages. In the mobile communities, we found 5.9 people per km2 at the beginning and 17.5 people per km2 at the end of the dry season. We recorded per km2 on average 21.0 cattle and 31.6 small ruminants in the sedentary villages and 66.1 cattle and 102.5 small ruminants in the mobile communities, which amounts to a mean of 86.6 tropical livestock units during the dry season. These numbers exceed, by up to five times, the published carrying capacities for similar Sahelian zones. Our results underline the need for a new institutional framework. Improved land use management must equally consider the needs of mobile communities and sedentary populations.

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Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates, consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil-fuel combustion and cement production (EFF) are based on energy statistics, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated for the first time in this budget with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models forced by observed climate, CO2 and land cover change (some including nitrogen–carbon interactions). All uncertainties are reported as ± 1 σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2003–2012), EFF was 8.6 ± 0.4 GtC yr − 1, ELUC 0.9 ± 0.5 GtC yr − 1, GATM 4.3 ± 0.1 GtC yr − 1, S OCEAN 2.5 ± 0.5 GtC yr − 1, and S LAND 2.8 ± 0.8 GtC yr − 1. For year 2012 alone, EFF grew to 9.7 ± 0.5 GtC yr − 1, 2.2 % above 2011, reflecting a continued growing trend in these emissions, GATM was 5.1 ± 0.2 GtC yr − 1, SOCEANwas 2.9 ± 0.5 GtC yr −1, and assuming an ELU Cof 1.0 ± 0.5 GtC yr − 1 (based on the 2001–2010 average), SLAND was 2.7 ± 0.9 GtC yr − 1. GATM was high in 2012 compared to the 2003–2012 average, almost entirely reflecting the high EFF. The global atmospheric CO2 con- centration reached 392.52 ± 0.10 ppm averaged over 2012. We estimate that EFF will increase by 2.1 % (1.1–3.1 %) to 9.9 ± 0.5 GtC in 2013, 61 % above emissions in 1990, based on projections of world gross domestic product and recent changes in the carbon intensity of the economy. With this projection, cumulative emissions of CO2 will reach about 535 ± 55 GtC for 1870–2013, about 70 % from EFF (390 ± 20 GtC) and 30 % from ELUC (145 ± 50 GtC). This paper also documents any changes in the methods and data sets used in this new carbon budget from previous budgets (Le Quéré et al., 2013). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center.

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The objective of this cross-sectional study was to examine the relationship of provincial economic development indices with incidences of child injury mortality in Thailand from 1999 - 2001. All injury deaths among children age 1-14 years were included. The independent variables included gross provincial product per capita (GPP/c), poverty and inequality indices, material and social deprivation indices, population in rural/ urban areas, and migration. Due to multicollinearity of such variables, the 76 provinces were categorized by GPP/c quartile, and means of overall injury, drowning, and transport-related mortality rates were compared among quartile groups. Spearman’s rho correlation between GPP/c and injury mortality rates was also performed. Finally, factor analysis was employed to create a set of factors to be treated as uncorrelated variables and stepwise multiple regression was carried out for the effects of the factors on injury mortality rates. A significant direct relationship was observed between GPP/c and overall injury mortality among children age 1-4 years, and 10-14 year-olds of both genders. Drowning was the main cause of this relationship among children age 1-4 years, and transport-related injury was the principle cause among children age 10-14 years. Conversely, provinces with lower GPP/c experienced higher injury mortality rates among school-age children 5-9 years old for both genders, mostly due to drowning. Factor analysis, and multiple regression results confirmed the relationships between economic development and injury mortality rates. These findings revealed that economic development had an adverse impact on injury-related mortality among children 1 to 4 and 10 to14 in Thailand.

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El desarrollo de esta investigación se conforma como la búsqueda de vinculaciones territoriales a escala urbana en la Ciudad de Córdoba frente a un proceso de carácter global, como es el de la reestructuración productiva. Este concreto real se aborda desde un caso, el de la pequeña industria metalmecánica, que por presencia histórica y peso en el producto bruto geográfico de la ciudad se constituye en uno de los sostenes de la economía urbana. El abordaje del proceso de reestructuración productiva se realiza desde el análisis de las prácticas de los agentes. Por un lado, las del gobierno como agente que regula las relaciones productivas a través de políticas públicas industriales en el marco de un régimen de acumulación capitalista, y por otro lado, las prácticas de las pequeñas industrias metalmecánicas como agentes que se desenvuelven en el procesos de producción en una dialéctica entre las tendencias de producción de reestructuración de escala global y un entorno inmediato de relaciones productivas con otros agentes, procesos de producción, marco regulatorio y políticas públicas. Esta dialéctica se materializa en el territorio y da lugar a una configuración territorial industrial a escala urbana, que no solo se explica por las prácticas de los agentes industriales sino además por el juego de otros agentes que producen territorio. En el período postconvertibilidad a partir del 2002, el crecimiento de las actividades productivas en su conjunto, imprimen una dinámica compleja de expansión urbana y de relaciones entre agentes de distintos sectores, con distintos intereses y poder de actuar en el campo. Aquí se avanza en comprender las dimensiones de la expansión urbana que inciden en la configuración territorial industrial. La configuración territorial como vínculo indisociable entre las prácticas de agentes (sistema de acciones) y la estructura productiva territorial (sistema de objetos) muta permanentemente en el contexto postconvertibilidad debido al intenso dinamismo que adquiere la actividad industrial, entre habitus construidos históricamente y nuevas prácticas, que se encuentran en tensión permanente. Este concreto real va conformando un campo socio económico que discurre entre viejas y nuevas prácticas y configura un territorio fragmentado y disociado. El trabajo parte de la consideración de las políticas públicas industriales y las prácticas específicas de los agentes de las pequeñas industrias para luego analizar a escala urbana la configuración territorial, en donde las dimensiones de la expansión urbana interactúan con la especificidad de las prácticas de los agentes analizados. El cambio paulatino en las políticas destinadas al sector industrial postconvertibilidad manifiesta una presencia cada vez más relevante de PyMEs. No obstante la inercia heredada del periodo anterior revela, en la gestión de las políticas industriales y las prácticas empresarias, un camino caracterizado por la desconfianza e incertidumbre de las pequeñas empresas

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El desarrollo de esta investigación se conforma como la búsqueda de vinculaciones territoriales a escala urbana en la Ciudad de Córdoba frente a un proceso de carácter global, como es el de la reestructuración productiva. Este concreto real se aborda desde un caso, el de la pequeña industria metalmecánica, que por presencia histórica y peso en el producto bruto geográfico de la ciudad se constituye en uno de los sostenes de la economía urbana. El abordaje del proceso de reestructuración productiva se realiza desde el análisis de las prácticas de los agentes. Por un lado, las del gobierno como agente que regula las relaciones productivas a través de políticas públicas industriales en el marco de un régimen de acumulación capitalista, y por otro lado, las prácticas de las pequeñas industrias metalmecánicas como agentes que se desenvuelven en el procesos de producción en una dialéctica entre las tendencias de producción de reestructuración de escala global y un entorno inmediato de relaciones productivas con otros agentes, procesos de producción, marco regulatorio y políticas públicas. Esta dialéctica se materializa en el territorio y da lugar a una configuración territorial industrial a escala urbana, que no solo se explica por las prácticas de los agentes industriales sino además por el juego de otros agentes que producen territorio. En el período postconvertibilidad a partir del 2002, el crecimiento de las actividades productivas en su conjunto, imprimen una dinámica compleja de expansión urbana y de relaciones entre agentes de distintos sectores, con distintos intereses y poder de actuar en el campo. Aquí se avanza en comprender las dimensiones de la expansión urbana que inciden en la configuración territorial industrial. La configuración territorial como vínculo indisociable entre las prácticas de agentes (sistema de acciones) y la estructura productiva territorial (sistema de objetos) muta permanentemente en el contexto postconvertibilidad debido al intenso dinamismo que adquiere la actividad industrial, entre habitus construidos históricamente y nuevas prácticas, que se encuentran en tensión permanente. Este concreto real va conformando un campo socio económico que discurre entre viejas y nuevas prácticas y configura un territorio fragmentado y disociado. El trabajo parte de la consideración de las políticas públicas industriales y las prácticas específicas de los agentes de las pequeñas industrias para luego analizar a escala urbana la configuración territorial, en donde las dimensiones de la expansión urbana interactúan con la especificidad de las prácticas de los agentes analizados. El cambio paulatino en las políticas destinadas al sector industrial postconvertibilidad manifiesta una presencia cada vez más relevante de PyMEs. No obstante la inercia heredada del periodo anterior revela, en la gestión de las políticas industriales y las prácticas empresarias, un camino caracterizado por la desconfianza e incertidumbre de las pequeñas empresas

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El desarrollo de esta investigación se conforma como la búsqueda de vinculaciones territoriales a escala urbana en la Ciudad de Córdoba frente a un proceso de carácter global, como es el de la reestructuración productiva. Este concreto real se aborda desde un caso, el de la pequeña industria metalmecánica, que por presencia histórica y peso en el producto bruto geográfico de la ciudad se constituye en uno de los sostenes de la economía urbana. El abordaje del proceso de reestructuración productiva se realiza desde el análisis de las prácticas de los agentes. Por un lado, las del gobierno como agente que regula las relaciones productivas a través de políticas públicas industriales en el marco de un régimen de acumulación capitalista, y por otro lado, las prácticas de las pequeñas industrias metalmecánicas como agentes que se desenvuelven en el procesos de producción en una dialéctica entre las tendencias de producción de reestructuración de escala global y un entorno inmediato de relaciones productivas con otros agentes, procesos de producción, marco regulatorio y políticas públicas. Esta dialéctica se materializa en el territorio y da lugar a una configuración territorial industrial a escala urbana, que no solo se explica por las prácticas de los agentes industriales sino además por el juego de otros agentes que producen territorio. En el período postconvertibilidad a partir del 2002, el crecimiento de las actividades productivas en su conjunto, imprimen una dinámica compleja de expansión urbana y de relaciones entre agentes de distintos sectores, con distintos intereses y poder de actuar en el campo. Aquí se avanza en comprender las dimensiones de la expansión urbana que inciden en la configuración territorial industrial. La configuración territorial como vínculo indisociable entre las prácticas de agentes (sistema de acciones) y la estructura productiva territorial (sistema de objetos) muta permanentemente en el contexto postconvertibilidad debido al intenso dinamismo que adquiere la actividad industrial, entre habitus construidos históricamente y nuevas prácticas, que se encuentran en tensión permanente. Este concreto real va conformando un campo socio económico que discurre entre viejas y nuevas prácticas y configura un territorio fragmentado y disociado. El trabajo parte de la consideración de las políticas públicas industriales y las prácticas específicas de los agentes de las pequeñas industrias para luego analizar a escala urbana la configuración territorial, en donde las dimensiones de la expansión urbana interactúan con la especificidad de las prácticas de los agentes analizados. El cambio paulatino en las políticas destinadas al sector industrial postconvertibilidad manifiesta una presencia cada vez más relevante de PyMEs. No obstante la inercia heredada del periodo anterior revela, en la gestión de las políticas industriales y las prácticas empresarias, un camino caracterizado por la desconfianza e incertidumbre de las pequeñas empresas

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El desarrollo de esta investigación se conforma como la búsqueda de vinculaciones territoriales a escala urbana en la Ciudad de Córdoba frente a un proceso de carácter global, como es el de la reestructuración productiva. Este concreto real se aborda desde un caso, el de la pequeña industria metalmecánica, que por presencia histórica y peso en el producto bruto geográfico de la ciudad se constituye en uno de los sostenes de la economía urbana. El abordaje del proceso de reestructuración productiva se realiza desde el análisis de las prácticas de los agentes. Por un lado, las del gobierno como agente que regula las relaciones productivas a través de políticas públicas industriales en el marco de un régimen de acumulación capitalista, y por otro lado, las prácticas de las pequeñas industrias metalmecánicas como agentes que se desenvuelven en el procesos de producción en una dialéctica entre las tendencias de producción de reestructuración de escala global y un entorno inmediato de relaciones productivas con otros agentes, procesos de producción, marco regulatorio y políticas públicas. Esta dialéctica se materializa en el territorio y da lugar a una configuración territorial industrial a escala urbana, que no solo se explica por las prácticas de los agentes industriales sino además por el juego de otros agentes que producen territorio. En el período postconvertibilidad a partir del 2002, el crecimiento de las actividades productivas en su conjunto, imprimen una dinámica compleja de expansión urbana y de relaciones entre agentes de distintos sectores, con distintos intereses y poder de actuar en el campo. Aquí se avanza en comprender las dimensiones de la expansión urbana que inciden en la configuración territorial industrial. La configuración territorial como vínculo indisociable entre las prácticas de agentes (sistema de acciones) y la estructura productiva territorial (sistema de objetos) muta permanentemente en el contexto postconvertibilidad debido al intenso dinamismo que adquiere la actividad industrial, entre habitus construidos históricamente y nuevas prácticas, que se encuentran en tensión permanente. Este concreto real va conformando un campo socio económico que discurre entre viejas y nuevas prácticas y configura un territorio fragmentado y disociado. El trabajo parte de la consideración de las políticas públicas industriales y las prácticas específicas de los agentes de las pequeñas industrias para luego analizar a escala urbana la configuración territorial, en donde las dimensiones de la expansión urbana interactúan con la especificidad de las prácticas de los agentes analizados. El cambio paulatino en las políticas destinadas al sector industrial postconvertibilidad manifiesta una presencia cada vez más relevante de PyMEs. No obstante la inercia heredada del periodo anterior revela, en la gestión de las políticas industriales y las prácticas empresarias, un camino caracterizado por la desconfianza e incertidumbre de las pequeñas empresas

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This paper, investigates causal relationships among agriculture, manufacturing and export in Tanzania by using time series data for the period between 1970 and 2005. The empirical results show in both sectors there is Granger causality where agriculture causes both exports and manufacturing. Exports also cause both agricultural GDP and manufacturing GDP and any two variables out of three jointly cause the third one. There is also some evidence that manufacturing does not cause export and agriculture. Regarding cointegration, pairwise agricultural GDP and export are cointegrated, export and manufacture are cointegrated. Agriculture and manufacture are cointegrated but they are lag sensitive. However, three variables, manufacturing, export and agriculture both together are cointegrated showing that they share long run relation and this has important economic implications.