754 resultados para Socio-Economic Growth
Resumo:
The objectives of this study were to determine the nature of the relationship between severity of iron deficiency anemia, response to iron treatment, respiratory and gastrointestinal illness and weight change. Seventy-five pre-school children from rural Guatemala received daily oral iron therapy for an eleven week period, and were classified into one of three groups having different degrees of iron deficiency anemia. Anthropometric and biochemical data were collected prior and after iron treatment; morbidity data were collected throughout the period of treatment. The outcome variables were percentage weight change, percentage of total days ill with any type of symptom, percentage of total days ill with gastrointestinal symptoms, percentage of total days ill with respiratory symptoms, percentage of total days ill with combination syndrome symptoms. Age, sex and socio-economic status, were independent of any of the independent or outcome variables used. On the other hand, the level of hemoglobin covaried with the height of the children, the smallest children were the most severely anemic. The relationships between hemoglobin levels and weight change, frequency of morbidity (gastrointestinal, respiratory and combination syndrome) and total number of days ill with any symptomatology were investigated. No statistical significance was found in these analyses except when contrasting children with normal hemoglobin levels to iron deficient children, where the findings indicated the normal children experienced more gastrointestinal morbidity. The same relationship were again analyzed but including delta hemoglobin as covariate in the analysis, this latter one was found to be significant at 7% when the percentage of days ill from gastrointestinal morbidity was tested against the hemoglobin groups. The relationship found indicates that, all other covariates accounted for, the percentage of days ill from gastrointestinal morbidity will decrease approximately 1% for each 1% increase in delta of hemoglobin. ^
Resumo:
Vietnam has been praised for its achievements in economic growth and success in poverty reduction over the last two decades. The incidence of poverty reportedly fell from 58.1% in 1993 to 19.5% in 2004 (VASS [2006, 13]). The country is also considered to have only a moderate level of aggregate economic inequality by international comparisons. As of the early 2000s, Vietnam’s consumption-based Gini coefficient is found to be comparable to that of other countries with similar levels of per capita GDP. The Gini index did increase between 1993 and 2004, but rather slowly, from 0.34 to 0.37 (VASS [2006, 13]). Yet, as the country moves on with its market oriented reforms, the question of inequality has been highlighted in policy and academic discourses. In particular, it is pointed out that socio-economic inequalities between regions (or provinces) are significant and have been widening behind aggregate figures (NCSSH [2001], Mekong Economics [2005], VASS [2006]). Between 1993 and 2004, while real per capita expenditure increased in all regions, it grew fastest in those regions with the highest per capita expenditures and vice versa, resulting in greater regional disparities (VASS [2006, 37]). A major contributing factor to such regional inequalities is the uneven distribution of industry within the country. According to the Statistical Yearbook of Vietnam, of the country's gross industrial output in 2007, over 50% belongs to the South East region, close to 25% to the Red River Delta, and about 10% to the Mekong River Delta. All remaining regions share some 10% of the country's gross industrial output. At a quick glance, the South East increased its share of the total industrial gross output in the 1990s, while the Red River Delta started to gain ground in more recent years. How can the government deal with regional disparities is a valid question. In order to offer an answer, it is necessary in the first place to grasp the trend of disparities as well as its background. To that end, this paper is a preparatory endeavor. Regional disparities in industrial activities can essentially be seen as a result of the location decisions of enterprises. While the General Statistics Office (GSO) of Vietnam has conducted one enterprise census (followed by annual enterprise surveys) and two stages of establishment censuses since 2000, sectorally and geographically disaggregated data are not readily available. Therefore, for the moment, we will draw on earlier studies of industrial location and the determinants of enterprises’ location decisions in Vietnam. The remainder of this paper is structured as follows. The following two sections deal with the country context. Section 2 will outline some major developments in Vietnam’s international economic relations that may affect sub-national location of industry. According to the theory of spatial economics, economic integration is seen as a major driver of changes in industrial location, both between and within countries (Nishikimi [2008]). Section 3, on the other hand, will consider some possible factors affecting geographic distribution of industry in the domestic sphere. In Section 4, existing literature on industrial and firm location will be examined, and Section 5 will briefly summarize the findings and suggest some areas for future research.
Resumo:
Water is a vital resource, but also a critical limiting factor for economic and social development in many parts of the world. The recent rapid growth in human population and water use for social and economic development is increasing the pressure on water resources and the environment, as well as leading to growing conflicts among competing water use sectors (agriculture, urban, tourism, industry) and regions (Gleick et al., 2009; World Bank, 2006). In Spain, as in many other arid and semi-arid regions affected by drought and wide climate variability, irrigated agriculture is responsible for most consumptive water use and plays an important role in sustaining rural livelihoods (Varela-Ortega, 2007). Historically, the evolution of irrigation has been based on publicly-funded irrigation development plans that promoted economic growth and improved the socio-economic conditions of rural farmers in agrarian Spain, but increased environmental damage and led to excessive and inefficient exploitation of water resources (Garrido and Llamas, 2010; Varela-Ortega et al., 2010). Currently, water policies in Spain focus on rehabilitating and improving the efficiency of irrigation systems, and are moving from technocratic towards integrated water management strategies driven by the European Union (EU) Water Framework Directive (WFD).
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After a dramatic economic decline after the collapse of the Soviet Union and the financial breakdown of 1998, the Russian economy has begun to emerge from its deep crisis. The years 1999-2004 were a period of dynamic development in all sectors of Russian economy, and saw a rapid growth in GDP of over 7 per cent per year. Russia owed the excellent macroeconomic results of that period to a combination of favourable factors. The key factors were: high hydrocarbon prices on the global markets; an increase in Russia's international competitiveness thanks to the "rouble devaluation effect" (following the 1998 financial crash); and the market reforms carried out within that period. In 2004, despite very high oil and gas prices on world markets, a slowdown of the GDP growth took place. Even though the economy is still developing fairly rapidly, we are able to say that Russia is exhausting those traditional mechanisms (apart from oil and gas prices) which have hitherto stimulated GDP growth. Moreover, there are no new mechanisms which could replace the old ones. In the longer term, these unsolved structural problems may seriously impede Russia's economic growth.
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We explore the role of business services in knowledge accumulation and growth and the determinants of knowledge diffusion including the role of distance. A continuous time model is estimated on several European countries, Japan, and the US. Policy simulations illustrate the benefits for EU growth of the deepening of the single market, the reduction of regulatory barriers, and the accumulation of technology and human capital. Our results support the basic insights of the Lisbon Agenda. Economic growth in Europe is enhanced to the extent that: trade in services increases, technology accumulation and diffusion increase, regulation becomes both less intensive and more uniform across countries, and human capital accumulation increases in all countries.
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What is ‘the’ EU internal market, as economists see it? The present BEER paper attempts to survey and help readers understand various ‘economic’ approaches to the internal market idea. The paper starts with a conceptual discussion of what ‘the’ internal market is (in an economic perspective). Six different economic meanings of the internal market are presented, with the sixth one being the economic benchmark in an ideal setting. Subsequently, the question is asked what the internal market (i.e. its proper functioning) is good for. Put differently, the internal market in the EU Treaty is a means, but a means to what? Beyond the typical economic growth objectives of the Rome Treaty (still valid today, with some qualifications), other Treaty objectives have emerged. Economists typically think in means-end relationships and the instrumental role of the internal market for Treaty objectives is far from clear. The ‘new’ Commission internal market strategy of 2007 proposes a more goal-oriented internal market policy. Such a vision is more selective in picking intermediate objectives to which ‘the’ internal market should be instrumental, but it risks to ignore the major deficits in today’s internal market: services and labour! The means-end relationships get even more problematic once one begins to scrutinise all the socio-economic objectives of the current (Amsterdam/Nice) Treaty or still other intermediate objectives. The internal market (explicitly including the relevant common regulation) then becomes a ‘jack of all trades’ for the environment, a high level of social protection, innovation or ‘Social Europe’. These means/ends relationships often are ill-specified. The final section considers the future of the internal market, by distinguishing three strategies: incremental strategies (including the new internal market strategy of November 2007); the internal market as the core of the Economic Union serving the ‘proper functioning of the monetary union’; and deepening and widening of the internal market as justified by the functional subsidiarity test. Even though the latter two would seem to be preferable from an economic point of view, they currently lack political legitimacy and are therefore unlikely to be pursued in the near future.
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The analysis of clusters has attracted considerable interest over the last few decades. The articulation of clusters into complex networks and systems of innovation -- generally known as regional innovation systems -- has, in particular, been associated with the delivery of greater innovation and growth. However, despite the growing economic and policy relevance of clusters, little systematic research has been conducted into their association with other factors promoting innovation and economic growth. This article addresses this issue by looking at the relationship between innovation and economic growth in 152 regions of Europe during the period between 1995 and 2006. Using an econometric model with a static and a dynamic dimension, the results of the analysis highlight that: a) regional growth through innovation in Europe is fundamentally connected to the presence of an adequate socioeconomic environment and, in particular, to the existence of a well-trained and educated pool of workers; b) the presence of clusters matters for regional growth, but only in combination with a good ‘social filter’, and this association wanes in time; c) more traditional R&D variables have a weak initial connection to economic development, but this connection increases over time and, is, once again, contingent on the existence of adequate socioeconomic conditions.
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ECLAC advocates that the Caribbean’s high debt dilemma was not principally driven by policy missteps, or the international financial crisis. Rather, it finds its roots in external shocks, compounded by the inherent structural weaknesses and vulnerabilities confronting Caribbean SIDS and their limited capacity to respond. A major factor has been the underperformance of the export sector, partly due to a decline in competitiveness and a slowdown in economic activity especially among the tourism-dependent economies. Caribbean countries have also accumulated debt as a consequence of increased expenditures to address the impact of extreme events and climate change attendant difficulties. Most Caribbean countries are located in the hurricane belt and are also prone to earthquakes and other hazards. Indeed, a disaster resulting in damage and losses in excess of 5 per cent of GDP can be expected to hit any Caribbean country every few years. Moreover, over the period 2000-2014, it is estimated that the economic cost of natural disasters in Caribbean countries was in excess of US$30.7 billion. The English Speaking Caribbean countries are extremely vulnerable to natural disasters.
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The Measuring Business Growth report is a comprehensive look at UK business growth over the past decade. It makes a powerful case that a small number of high-growth businesses are responsible for the lion's share of job creation and prosperity. It is the counterpart to Business Growth and Innovation, which considers the wider benefits of growth businesses, their socio-economic impact, and the relationship between growth and innovation. This has significant implications for the direction of economic policy. It suggests that focusing attention on growing businesses and promoting excellence, far from being an elitist policy, gives rise to widespread job creation and prosperity.
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Operational approaches have been more and more widely developed and used for providing marine data and information services for different socio-economic sectors of the Blue Growth and to advance knowledge about the marine environment. The objective of operational oceanographic research is to develop and improve the efficiency, timeliness, robustness and product quality of this approach. This white paper aims to address key scientific challenges and research priorities for the development of operational oceanography in Europe for the next 5-10 years. Knowledge gaps and deficiencies are identified in relation to common scientific challenges in four EuroGOOS knowledge areas: European Ocean Observations, Modelling and Forecasting Technology, Coastal Operational Oceanography and Operational Ecology. The areas "European Ocean Observations" and "Modelling and Forecasting Technology" focus on the further advancement of the basic instruments and capacities for European operational oceanography, while "Coastal Operational Oceanography" and "Operational Ecology" aim at developing new operational approaches for the corresponding knowledge areas.
Resumo:
Este documento corresponde al ejercicio preliminar de la línea de investigación en dinámicas territoriales, y es uno de los artículos científicos propuestos como resultado del Proyecto de investigación “Inteligencia territorial para la recuperación de las dinámicas socio-productivas de la subregión de Lengupá”. Por lo tanto, presenta los resultados de la fase exploratoria, correspondiente al diagnóstico regional en el marco de los enfoques teóricos desde los cuales la región es estudiada. A continuación, se presentarán los dos pilares fundamentales de ésta investigación: el territorio y la Inteligencia Territorial. En el caso del territorio, este proceso de investigación parte de un diferenciación previa respecto al lugar y al espacio, debido a que en el territorio se dan relaciones históricas y de poder en una relación dialéctica, entre los atributos ecológicos y culturales, teniendo en cuenta el planteamiento de Sasquet, (2015) cuando menciona que para comprender el territorio es necesario comprender el espacio geográfico, territorialidad humana, en escala subregional y a través del tiempo.
Resumo:
Family businesses dominate in a majority of economies (Astrachan and Shanker, 2003; Chrisman, Chua, and Sharma, 2005; Morck and Yeung, 2004). As entrepreneurial activities have been shown to be central to economic growth it is essential that family businesses, irrespective of ownership patterns, not only survive but also grow thus growing the economy overall. While a great deal is known about entrepreneurial activities and a body of knowledge is being developed in relation to entrepreneurial processes in family firms, more needs to be understood in relation to the dynamics of entrepreneurial activities at the individual family firm level. One area of particular interest is the dynamics within the business and the family and how these dynamics impact upon entrepreneurial activities. Specifically how relationships between and among family members engaged in the business can interact with professional non-family member senior executives. The senior executives can actively use their positions in such ways that initiatives suggested by family members are less successful than they might be. This paper addresses how ‘family’ aspects of a business can assist or impede the entrepreneurial activities of individuals. It takes into account some of the unique features of family businesses – such as the importance of ‘familiness’ as a competitive advantage; the direct links between ownership and control of a business and the recognition (often implicit) that individuals in families do make a difference to how the business functions (Habbershon and Williams, 1999, Sharma, 2004; and Tokarczyk, Hansen Green, and Down, 2007). This emphasis on individuals in families fits well with the idea of entrepreneur as individual, as expressed by Schumpeter (1934), Baumol et al (2007). The theoretical approach that adopted to explore the dynamics of processes occurring within family firms is structuration theory combined with a theory of embeddeness (Dacin, Ventresca and Beal, 1999; Giddens, 1979, 1984, Jack and Anderson, 2002; and Sarason, Dean and Dillard, 2006).
Resumo:
This paper argues that media and communications theory, as with cultural and creative industries analysis, can benefit from a deeper understanding of economic growth theory. Economic growth theory is elucidated in the context of both cultural and media studies and with respect to modern Chinese economic development. Economic growth is a complex evolutionary process that is tightly integrated with socio-cultural and political processes. This paper seeks to explore this mechanism and to advance cultural theory from an erstwhile political economy perspective to one centred about the co-evolutionary dynamics of economic and socio-political systems. A generic model is presented in which economic and social systems co-evolve through the origination, adoption and retention of new ideas, and in which the creative industries are a key part of this process. The paper concludes that digital media capabilities are a primary source of economic development.
Resumo:
Suicide has drawn much attention from both the scientific community and the public. Examining the impact of socio-environmental factors on suicide is essential in developing suicide prevention strategies and interventions, because it will provide health authorities with important information for their decision-making. However, previous studies did not examine the impact of socio-environmental factors on suicide using a spatial analysis approach. The purpose of this study was to identify the patterns of suicide and to examine how socio-environmental factors impact on suicide over time and space at the Local Governmental Area (LGA) level in Queensland. The suicide data between 1999 and 2003 were collected from the Australian Bureau of Statistics (ABS). Socio-environmental variables at the LGA level included climate (rainfall, maximum and minimum temperature), Socioeconomic Indexes for Areas (SEIFA) and demographic variables (proportion of Indigenous population, unemployment rate, proportion of population with low income and low education level). Climate data were obtained from Australian Bureau of Meteorology. SEIFA and demographic variables were acquired from ABS. A series of statistical and geographical information system (GIS) approaches were applied in the analysis. This study included two stages. The first stage used average annual data to view the spatial pattern of suicide and to examine the association between socio-environmental factors and suicide over space. The second stage examined the spatiotemporal pattern of suicide and assessed the socio-environmental determinants of suicide, using more detailed seasonal data. In this research, 2,445 suicide cases were included, with 1,957 males (80.0%) and 488 females (20.0%). In the first stage, we examined the spatial pattern and the determinants of suicide using 5-year aggregated data. Spearman correlations were used to assess associations between variables. Then a Poisson regression model was applied in the multivariable analysis, as the occurrence of suicide is a small probability event and this model fitted the data quite well. Suicide mortality varied across LGAs and was associated with a range of socio-environmental factors. The multivariable analysis showed that maximum temperature was significantly and positively associated with male suicide (relative risk [RR] = 1.03, 95% CI: 1.00 to 1.07). Higher proportion of Indigenous population was accompanied with more suicide in male population (male: RR = 1.02, 95% CI: 1.01 to 1.03). There was a positive association between unemployment rate and suicide in both genders (male: RR = 1.04, 95% CI: 1.02 to 1.06; female: RR = 1.07, 95% CI: 1.00 to 1.16). No significant association was observed for rainfall, minimum temperature, SEIFA, proportion of population with low individual income and low educational attainment. In the second stage of this study, we undertook a preliminary spatiotemporal analysis of suicide using seasonal data. Firstly, we assessed the interrelations between variables. Secondly, a generalised estimating equations (GEE) model was used to examine the socio-environmental impact on suicide over time and space, as this model is well suited to analyze repeated longitudinal data (e.g., seasonal suicide mortality in a certain LGA) and it fitted the data better than other models (e.g., Poisson model). The suicide pattern varied with season and LGA. The north of Queensland had the highest suicide mortality rate in all the seasons, while there was no suicide case occurred in the southwest. Northwest had consistently higher suicide mortality in spring, autumn and winter. In other areas, suicide mortality varied between seasons. This analysis showed that maximum temperature was positively associated with suicide among male population (RR = 1.24, 95% CI: 1.04 to 1.47) and total population (RR = 1.15, 95% CI: 1.00 to 1.32). Higher proportion of Indigenous population was accompanied with more suicide among total population (RR = 1.16, 95% CI: 1.13 to 1.19) and by gender (male: RR = 1.07, 95% CI: 1.01 to 1.13; female: RR = 1.23, 95% CI: 1.03 to 1.48). Unemployment rate was positively associated with total (RR = 1.40, 95% CI: 1.24 to 1.59) and female (RR=1.09, 95% CI: 1.01 to 1.18) suicide. There was also a positive association between proportion of population with low individual income and suicide in total (RR = 1.28, 95% CI: 1.10 to 1.48) and male (RR = 1.45, 95% CI: 1.23 to 1.72) population. Rainfall was only positively associated with suicide in total population (RR = 1.11, 95% CI: 1.04 to 1.19). There was no significant association for rainfall, minimum temperature, SEIFA, proportion of population with low educational attainment. The second stage is the extension of the first stage. Different spatial scales of dataset were used between the two stages (i.e., mean yearly data in the first stage, and seasonal data in the second stage), but the results are generally consistent with each other. Compared with other studies, this research explored the variety of the impact of a wide range of socio-environmental factors on suicide in different geographical units. Maximum temperature, proportion of Indigenous population, unemployment rate and proportion of population with low individual income were among the major determinants of suicide in Queensland. However, the influence from other factors (e.g. socio-culture background, alcohol and drug use) influencing suicide cannot be ignored. An in-depth understanding of these factors is vital in planning and implementing suicide prevention strategies. Five recommendations for future research are derived from this study: (1) It is vital to acquire detailed personal information on each suicide case and relevant information among the population in assessing the key socio-environmental determinants of suicide; (2) Bayesian model could be applied to compare mortality rates and their socio-environmental determinants across LGAs in future research; (3) In the LGAs with warm weather, high proportion of Indigenous population and/or unemployment rate, concerted efforts need to be made to control and prevent suicide and other mental health problems; (4) The current surveillance, forecasting and early warning system needs to be strengthened, to trace the climate and socioeconomic change over time and space and its impact on population health; (5) It is necessary to evaluate and improve the facilities of mental health care, psychological consultation, suicide prevention and control programs; especially in the areas with low socio-economic status, high unemployment rate, extreme weather events and natural disasters.
Resumo:
The critical impact of innovation on national and the global economies has been discussed at length in the literature. Economic development requires the diffusion of innovations into markets. It has long been recognised that economic growth and development depends upon a constant stream of innovations. Governments have been keenly aware of the need to ensure this flow does not dry to a trickle and have introduced many and varied industry policies and interventions to assist in seeding, supporting and diffusing innovations. In Australia, as in many countries, Government support for the transfer of knowledge especially from publicly funded research has resulted in the creation of knowledge exchange intermediaries. These intermediaries are themselves service organisations, seeking innovative service offerings for their markets. The choice for most intermediaries is generally a dichotomous one, between market-pull and technology-push knowledge exchange programmes. In this article, we undertake a case analysis of one such innovative intermediary and its flagship programme. We then compare this case with other successful intermediaries in Europe. We put forward a research proposition that the design of intermediary programmes must match the service type they offer. That is, market-pull programmes require market-pull design, in close collaboration with industry, whereas technology programmes can be problem-solving innovations where demand is latent. The discussion reflects the need for an evolution in knowledge transfer policies and programmes beyond the first generation ushered in with the US Bayh-Dole Act (1980) and Stevenson-Wydler Act (1984). The data analysed is a case study comparison of market-pull and technology-push programmes, focusing on primary and secondary socio-economic benefits (using both Australian and international comparisons).