69 resultados para 340213 Economic Development and Growth


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The mechanism of subnational regional and urban economic development has been studied extensively by economists, geographers, town planners and other academics. The existing widely varying theories of regional economic development are insufficient on their own in explaining how a region can develop and prosper. Each theory has evaluated a few facets of regional economic development. Research from these different perspectives is narrow and prevents any cross-fertilization of research from these diverse theories. Recognition of multiple factors affecting the development process has led the author to create an integrated model of regional and urban economic development. The essay first sets out to describe and explain this integrated model. Each of the components of this new model draws heavily upon seminal work in the field. This model proposes three rings. Each ring is at a different level of abstraction. The determinants of development described in each ring can influence each and every other determinant of development shown in the three-ring structure. This model recognizes that development in any centre, be it regional or urban, nascent or established, is a composite end result of the complex interplay of all the determinants. The essay then goes on to show how this model can provide a broad holistic approach to regional economic development that can assist researchers in their attempts to understand and link its various theories.

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The primary objective of this research is to provide a framework for industrial and economic development with respect to Brunei Darussalam. The study is both novel and unique as it is potentially the most comprehensive holistic study performed to date with respect to industrial and economic development in Brunei.

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Applying a grounded-theory approach to analyzing the Global Entrepreneurship Monitor (GEM) data, we attempt to explain why New Zealand exhibits only a moderate level of economic development despite its high level of entrepreneurship. By statistically analyzing why 34 other countries in the 2005 GEM dataset exhibit small deviations from the classical quadratic curvilinear relationship between entrepreneurship and economic development, we develop a better understanding of the entrepreneurial framework conditions underlying New Zealand’s large deviation from this trend line. Based on our findings from the GEM data we make policy recommendations that could aid in moving New Zealand (and other countries) closer toward the trend line and thus promote economic development.

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While investors are advised to diversify in order to manage risk, developing countries are advised instead to liberalise their trade regimes and specialise according to their current comparative advantage. This study uses 67 regions of the GTAP database to investigate the effects of unilateral liberalisation and its impacts on countries’ economic structures and the extent to which this affects countries’ vulnerability to an economic shock. While liberalisation resulted in improvements in GDP and welfare on average, there were significant variations. A number of countries experienced contractions in their GPDs and declines in welfare. While there was no evidence of a relationship between the percentage change in GDP and the initial export or output concentration, there was a positive relationship between the percentage change in GDP and the percentage change in export and output concentrations. On average, increases in GDP following liberalisation were associated with increases in concentration in both the export sector and in overall industrial output and also reductions in the fraction of unskilled labour employed by the main export sector. Initial GDP per capita has no significant effect, implying that once concentration measures and the fraction of costs in the main export are accounted for, the per capita income levels of a country show no systematic effects on the percentage change in GDP induced by the liberalisation. For developing countries undergoing unilateral liberalisation, the results imply that they are likely to experience an increase in GDP, but an increase accompanied by more highly concentrated industrial output and exports, and also a lower fraction of main export costs due to unskilled labour. Following liberalisation, the responses of liberalised and non-liberalised versions of the region’s economies to a shock were compared. The rest of the world’s productivity in the country’s main export was increased by 10%, with the liberalised economies faring marginally worse on average in welfare and terms of trade effects, but slightly better on GDP effects. When the net effects of the initial liberalisation and subsequent technology shock were compared, countries were better off on average if they had liberalised. But this average masked important sectoral differences. Countries specialising in sectors with high proportions of own-commodity inputs in their main export’s total cost, such as manufacturing, did best, while those specialising in food tended to suffer welfare declines. Higher levels of export and output concentration also tended to reduce welfare. This suggests that increased concentration does indeed make countries more vulnerable to certain economic shocks. Finally, the economic network structures of the two extreme cases, Tanzania and Vietnam are compared visually as an aid to interpretation.

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This article examines the export-led growth and import-led growth hypotheses for a panel of Pacific island countries—namely, Fiji, Papua New Guinea, Solomon Islands, Tonga and Vanuatu—for the period 1982–2004. The modelling is performed using a panel unit root, panel co-integration and panel Granger causality approach. We find bi-directional Granger causality for the panel of Pacific island countries between exports and economic growth, imports and economic growth, and exports and imports. The results suggest that the poor growth performance of many Pacific island countries reflects their poor export performance; however, if the supply-side constraints on exports are removed, there could be a virtuous cycle between economic growth and exports.

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Background
Clinicians and policy makers need the ability to predict quantitatively how childhood bodyweight will respond to obesity interventions.

Methods
We developed and validated a mathematical model of childhood energy balance that accounts for healthy growth and development of obesity, and that makes quantitative predictions about weight-management interventions. The model was calibrated to reference body composition data in healthy children and validated by comparing model predictions with data other than those used to build the model.

Findings
The model accurately simulated the changes in body composition and energy expenditure reported in reference data during healthy growth, and predicted increases in energy intake from ages 5—18 years of roughly 1200 kcal per day in boys and 900 kcal per day in girls. Development of childhood obesity necessitated a substantially greater excess energy intake than for development of adult obesity. Furthermore, excess energy intake in overweight and obese children calculated by the model greatly exceeded the typical energy balance calculated on the basis of growth charts. At the population level, the excess weight of US children in 2003—06 was associated with a mean increase in energy intake of roughly 200 kcal per day per child compared with similar children in 1971—74. The model also suggests that therapeutic windows when children can outgrow obesity without losing weight might exist, especially during periods of high growth potential in boys who are not severely obese.

Interpretation
This model quantifies the energy excess underlying obesity and calculates the necessary intervention magnitude to achieve bodyweight change in children. Policy makers and clinicians now have a quantitative technique for understanding the childhood obesity epidemic and planning interventions to control it.

Funding
Intramural Research Program of the National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases.

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This paper uses spectral theory to develop the following two testable hypotheses in a unified framework for the predictions of business-cycle and endogenous growth models: (i) financial development affects only business-cycle volatility; and (ii) shocks affect both business-cycle volatility and long-run volatility of GDP growth. In other words, volatility caused by shocks is more persistent than that caused by financial underdevelopment. We decompose the business-cycle and long-run volatility by the spectral method and then test the hypotheses at the cross-country level. Empirical evidence provides support for both hypotheses. Higher private credit, a bank-based measure of financial development, dampens business-cycle volatility but not long-run volatility. Volatility of shocks, as measured by the volatility of changes in the terms of trade, magnifies both business-cycle and long-run volatility. The results are robust to accounting for endogeneity, a market-based measure of financial development, and an alternative method of volatility decomposition.