800 resultados para GDP per capita


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This collection of essays examines various aspects of regional development and the issues of internationalization. The first essay investigates the implications of the impressive growth of China from a rural-urban perspective and addresses the topic of convergence in China by employing a non-parametrical approach to study the distribution dynamics of per capita income at province, rural and urban levels. To better understand the degree of inequality characterizing China and the long-term predictions of convergence or divergence of its different territorial aggregations, the second essay formulates a composite indicator of Regional Development (RDI) to benchmark development at province and sub-province level. The RDI goes beyond the uni-dimensional concept of development, generally proxied by the GDP per capita, and gives attention to the rural-urban dimension. The third essay “Internationalization and Trade Specialization in Italy. The role of China in the international intra-firm trade of the Italian regions” - deals with another aspect of regional economic development: the progressive de-industrialisation and de-localization of the local production. This essay looks at the trade specialization of selected Italian regions (those regions specialized in manufacturing) and the fragmentation of the local production on a global scale. China represents in this context an important stakeholder and the paper documents the importance of this country in the regional intra-firm trade.

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Slovenia is considered to be one of the most successful Central and Eastern European countries undergoing the process of transition. It has a high GDP per capita (the highest in the Visegrad group) amounting to about 7200 US dollars (at the exchange rates pertaining during Ms. Stropnik's research). In 1994, a low rate of inflation, a low level of public debt and almost balanced public finances, were all positive elements. However, there is a darker side, for instance the dramatic increase in unemployment and (somewhat less dramatic) fall in production during the transition period. This analysis aimed to provide insights into what is actually happening at the household level, since households are the ultimate bearers of macroeconomic and social change. The final output totalled 166 pages in English and Slovenian, available also on disc. The income concept used by Ms. Stropnik is that of the disposable (monetary) household income, i.e. the cash income of all household members - including social security transfers and family benefits, and the net sum of taxes and social security contributions - plus the equivalent of domestic production, used in the household. Non-monetary income sources, such as household own production, benefits in kind, subsidies for goods and services, and fringe benefits, were not taken into account. The concept of relative and objective poverty was followed. Poverty means having less than others in society, it is a state of relative deprivation. Objective aspects of the situation, e.g. command over resources (i.e. the household income) and the relative position of the household in the income distribution, determine who is poor and who is not. Changes in household composition - an increase in the number of pensioners, unemployed and self-employed, concomitant with a large decrease in the number of employees - obviously played a part in the changing structure of household income sources during this period. The overall decrease in the share of wages and salaries from primary employment in 1993 is to be observed in all income deciles. On the other hand, the importance of salaries gained from secondary employment has increased in all deciles. The lower seven deciles experienced a sharp rise in the share of social benefits in the period 1988-1993, mostly because of the increase in the number of persons entitled to claim unemployment benefits. In Slovenia, income inequality has increased considerably during the 1988-1993 period. To make matters worse, the large increase in income inequality occurred in a period of falling real incomes. In 1983 the bottom decile disposed of 3.8 percent and the top decile disposed of 23.4 percent of total monetary income in Slovenia, whereas by 1993 the same statistics revealed 3.1 percent and 18.9 percent respectively. Unemployment greatly increases the risk of living in poverty. In 1993, 35 per cent of all unemployed persons in Slovenia were living in the lowest income quintile. Ms. Stropnik found certain features that were specific to Slovenia and not shared by most countries in transition. For example, the relative income position of pensioners has improved. Retirement did not increase the risk of poverty in 1993 as much as it did in 1983 and 1988. Also, it appears that children have not been particularly hard-hit by the transition upheavals. The incidence of poverty amongst children has not increased in the period 1983-1993. Children were also fairly evenly distributed across income quintiles. In 1983, 11.8 percent of households with children aged 18 or less were poor. In 1993, this figure was 8.4 per cent. On the other hand, poor households with children were, in comparison with other households of the same type, poorer in 1993 than in 1983. Ms. Stropnik also analysed the impact of social transfers. Her conclusion was that the level of social transfers prevented them from being successful in alleviating poverty. Family policy transfers (child allowances, child tax allowances, subsidised child care) did, however, contribute to the lowering of income inequality between families with and without children, and amongst families with different numbers of children. Ms. Stropnik is determined that the results of her research be used in the creation of social policy aimed at helping the poor. She quotes Piachaud approvingly: "If the term 'poverty' carries with it the implication and moral imperative that something should be done about it, then the study of poverty is only ultimately justifiable if it influences individual and social attitudes and actions."

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Advances in information technology and global data availability have opened the door for assessments of sustainable development at a truly macro scale. It is now fairly easy to conduct a study of sustainability using the entire planet as the unit of analysis; this is precisely what this work set out to accomplish. The study began by examining some of the best known composite indicator frameworks developed to measure sustainability at the country level today. Most of these were found to value human development factors and a clean local environment, but to gravely overlook consumption of (remote) resources in relation to nature’s capacity to renew them, a basic requirement for a sustainable state. Thus, a new measuring standard is proposed, based on the Global Sustainability Quadrant approach. In a two‐dimensional plot of nations’ Human Development Index (HDI) vs. their Ecological Footprint (EF) per capita, the Sustainability Quadrant is defined by the area where both dimensions satisfy the minimum conditions of sustainable development: an HDI score above 0.8 (considered ‘high’ human development), and an EF below the fair Earth‐share of 2.063 global hectares per person. After developing methods to identify those countries that are closest to the Quadrant in the present‐day and, most importantly, those that are moving towards it over time, the study tackled the question: what indicators of performance set these countries apart? To answer this, an analysis of raw data, covering a wide array of environmental, social, economic, and governance performance metrics, was undertaken. The analysis used country rank lists for each individual metric and compared them, using the Pearson Product Moment Correlation function, to the rank lists generated by the proximity/movement relative to the Quadrant measuring methods. The analysis yielded a list of metrics which are, with a high degree of statistical significance, associated with proximity to – and movement towards – the Quadrant; most notably: Favorable for sustainable development: use of contraception, high life expectancy, high literacy rate, and urbanization. Unfavorable for sustainable development: high GDP per capita, high language diversity, high energy consumption, and high meat consumption. A momentary gain, but a burden in the long‐run: high carbon footprint and debt. These results could serve as a solid stepping stone for the development of more reliable composite index frameworks for assessing countries’ sustainability.

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BACKGROUND Considerable disparities exist in the provision of paediatric renal replacement therapy (RRT) across Europe. This study aims to determine whether these disparities arise from geographical differences in the occurrence of renal disease, or whether country-level access-to-care factors may be responsible. METHODS Incidence was defined as the number of new patients aged 0-14 years starting RRT per year, between 2007 and 2011, per million children (pmc), and was extracted from the ESPN/ERA-EDTA registry database for 35 European countries. Country-level indicators on macroeconomics, perinatal care and physical access to treatment were collected through an online survey and from the World Bank database. The estimated effect is presented per 1SD increase for each indicator. RESULTS The incidence of paediatric RRT in Europe was 5.4 cases pmc. Incidence decreased from Western to Eastern Europe (-1.91 pmc/1321 km, P < 0.0001), and increased from Southern to Northern Europe (0.93 pmc/838 km, P = 0.002). Regional differences in the occurrence of specific renal diseases were marginal. Higher RRT treatment rates were found in wealthier countries (2.47 pmc/€10 378 GDP per capita, P < 0.0001), among those that tend to spend more on healthcare (1.45 pmc/1.7% public health expenditure, P < 0.0001), and among countries where patients pay less out-of-pocket for healthcare (-1.29 pmc/11.7% out-of-pocket health expenditure, P < 0.0001). Country neonatal mortality was inversely related with incidence in the youngest patients (ages 0-4, -1.1 pmc/2.1 deaths per 1000 births, P = 0.10). Countries with a higher incidence had a lower average age at RRT start, which was fully explained by country GDP per capita. CONCLUSIONS Inequalities exist in the provision of paediatric RRT throughout Europe, most of which are explained by differences in country macroeconomics, which limit the provision of treatment particularly in the youngest patients. This poses a challenge for healthcare policy makers in their aim to ensure universal and equal access to high-quality healthcare services across Europe.

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Background and Objective. Ever since the human development index was published in 1990 by the United Nations Development Programme (UNDP), many researchers started searching and corporative studying for more effective methods to measure the human development. Published in 1999, Lai’s “Temporal analysis of human development indicators: principal component approach” provided a valuable statistical way on human developmental analysis. This study presented in the thesis is the extension of Lai’s 1999 research. ^ Methods. I used the weighted principal component method on the human development indicators to measure and analyze the progress of human development in about 180 countries around the world from the year 1999 to 2010. The association of the main principal component obtained from the study and the human development index reported by the UNDP was estimated by the Spearman’s rank correlation coefficient. The main principal component was then further applied to quantify the temporal changes of the human development of selected countries by the proposed Z-test. ^ Results. The weighted means of all three human development indicators, health, knowledge, and standard of living, were increased from 1999 to 2010. The weighted standard deviation for GDP per capita was also increased across years indicated the rising inequality of standard of living among countries. The ranking of low development countries by the main principal component (MPC) is very similar to that by the human development index (HDI). Considerable discrepancy between MPC and HDI ranking was found among high development countries with high GDP per capita shifted to higher ranks. The Spearman’s rank correlation coefficient between the main principal component and the human development index were all around 0.99. All the above results were very close to outcomes in Lai’s 1999 report. The Z test result on temporal analysis of main principal components from 1999 to 2010 on Qatar was statistically significant, but not on other selected countries, such as Brazil, Russia, India, China, and U.S.A.^ Conclusion. To synthesize the multi-dimensional measurement of human development into a single index, the weighted principal component method provides a good model by using the statistical tool on a comprehensive ranking and measurement. Since the weighted main principle component index is more objective because of using population of nations as weight, more effective when the analysis is across time and space, and more flexible when the countries reported to the system has been changed year after year. Thus, in conclusion, the index generated by using weighted main principle component has some advantage over the human development index created in UNDP reports.^

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Understanding the determinants of tourism demand is crucial for the tourism sector. This paper develops a dynamic panel model to examine the determinants of inbound tourists to Siem Reap airport, Phnom Penh airport, and land and waterway borders in Cambodia. Consistent with the consumer theory of tourism consumption, a 10% increase in the origin country GDP per capita is predicted to increase the number of tourist visits to Siem Reap airport by 5.8%. A 10% increase in the real exchange rate between the origin country and Cambodia is predicted to decrease the number of tourist visits by 0.89%. In contrast, the number of foreign tourists in a previous period has little effect on the number of foreign tourists in the current period. Additionally, the determinants are different by the mode of entry to Cambodia.

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Look-up tables are collected and analysed for 12 European National Travel Surveys (NTS) in a harmonized way covering the age group 13-84 year. Travel behaviour measured as kilometres, time use and trips per traveller is compared. Trips per traveller are very similar over the countries whereas kilometres differ most, from minus 28% for Spain to plus 19% and 14% for Sweden and Finland. It is shown that two main factors for differences are GDP per capita and density in the urban areas. The latter is the main reason for the low level in Spain. Mode share is except for Spain with a very high level of walking trips rather similar with a higher level of cycling in the Netherlands, more public transport in Switzerland, and more air traffic in Sweden. Normally kilometres per respondent/inhabitant is used for national planning purpose and this is very affected by the share of mobile travellers. The immobile share is varying between 8 and 28% with 6 NTS at a 15-17% level. These differences are analysed and discussed and it is concluded that the immobile share should be a little less than 15-17% because it is assessed that some short trips might have been forgotten in these 6 countries. The share has a downward tendency with higher density. The resulting immobile share is very dependent on data collection methodology, sampling method, quality of interviewer felt-work etc. The paper shows other possibilities to improve local surveys based on comparison with other countries.

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Tolls have increasingly become a common mechanism to fund road projects in recent decades. Therefore, improving knowledge of demand behavior constitutes a key aspect for stakeholders dealing with the management of toll roads. However, the literature concerning demand elasticity estimates for interurban toll roads is still limited due to their relatively scarce number in the international context. Furthermore, existing research has left some aspects to be investigated, among others, the choice of GDP as the most common socioeconomic variable to explain traffic growth over time. This paper intends to determine the variables that better explain the evolution of light vehicle demand in toll roads throughout the years. To that end, we establish a dynamic panel data methodology aimed at identifying the key socioeconomic variables explaining changes in light vehicle demand over time. The results show that, despite some usefulness, GDP does not constitute the most appropriate explanatory variable, while other parameters such as employment or GDP per capita lead to more stable and consistent results. The methodology is applied to Spanish toll roads for the 1990?2011 period, which constitutes a very interesting case on variations in toll road use, as road demand has experienced a significant decrease since the beginning of the economic crisis in 2008.

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Paper submitted to the 44th European Congress of the European Regional Science Association, Porto, 25-29 August 2004.

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Since 1999, countries have voluntarily chosen to reform their higher education systems to join the European Higher Education Area. This paper compares Bologna Process implementation across four regions within the European Union. While there are 47 countries participating in the Bologna Process, this paper uses statistical analysis to consider 25 of the 28 EU Member States. The time period of analysis is 2000-2011, prior to Croatia’s accession to the EU on 1 July 2013. Across Europe there are inter-regional differences in how the Bologna Process has been implemented and in the political economy contexts that influence higher education reform for policy convergence. There are three explanatory variables in the political economy context: 1. competitive economic pressures and globalization 2. domestic politics at the national level 3. leadership from the supranational European Union that socially constructs regional norms Tertiary education attainment is the dependent variable of interest in this research. The objective of 40%, for 30-34 year olds, is Europe 2020 benchmark target. There are additional higher education reform criteria encompassed in the Bologna Process. These criteria concern Credit and Degree Structure, Quality Assurance, and Recognition of academic degrees among countries in the EHEA. This tertiary education attainment variable, which is of interest in this paper, does not capture the entire implementation process. Nevertheless, it is a measure of one important indicator of success in providing higher education access to populations within the context of democratic governance. This research finds that statistically GDP Per Capita is the most significant variable in relationship to tertiary education attainment across four regional areas in the European Union.

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Recent research has highlighted that in the last few years the evolution of regional disparities in many European states has become pro-cyclical. This represents a change with respect to the predominantly anti-cyclical pattern of the 1960s and 1970s. This paper addresses the question of whether and when this change has taken place in the southern periphery of Europe, before analyzing the factors that may have played a role in such a change. The analysis relies on a regional database that includes the evolution of the GDP per capita of NUTS II regions in five European countries (France, Greece, Italy, Portugal, and Spain) between 1980 and 2000. The results of the analysis support the hypothesis of a change towards a pro-cyclical evolution of regional disparities in the cases of Italy, Portugal, and Spain, but not in those of Greece and France. A relationship between these pro-cyclical patters and the emergence of less dynamic sheltered economies is also detected in peripheral regions. This lack of dynamism is related to the fact that numerous peripheral areas in southern Europe have become increasingly dependent on factors such as transfers or public investment and employment, and therefore are less exposed to changes in market conditions.

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Global current account imbalances widened before the 2007/2008 crisis and have narrowed since. While the post-crisis adjustment of European current account deficits was in line with global developments (though more forceful), European current account surpluses defied global trends and increased. We use panel econometric models to analyse the determinants of medium-term current account balances. Our results confirm that higher fiscal balances, higher GDP per capita, more rapidly aging populations, larger net foreign assets, larger oil rents and better legal systems increase the medium-term current account balance, while a larger growth differential and a higher old-age dependency ratio reduce it. European current account surpluses became excessive during the past twelve years according to our estimates, while they were in line with model predictions in the preceding three decades. Generally, the gap between the actual current account and its fitted value in the model has a strong predictive power for future current account changes. Excess deficits adjust more forcefully than excess surpluses. However, in the 2004-07 period, excess imbalances were amplified, which was followed by a forceful correction in 2008-15, with the exception of European surpluses.

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The liberalisation of Eastern Europe’s market during the 1990s and the 2004 EU enlargement have had a great impact on the economies of Central and Eastern Europe (CEE). Indeed, prior to these events, the financial system and household credit markets in CEE were underdeveloped. Nonetheless, it appeared to numerous economists that the development of the CEE financial system and credit markets was following an intensely positive trend, raising the question of sustainability. Many variables impact the level and growth rate of credit; several economists point out that a convergence process might be one of the most important. Using a descriptive statistics approach, it seems likely that a convergence process began during the 1990s, when the CEE countries opened their economies. However, it also seems that the main driver of this household credit convergence process is the GDP per capita convergence process. Indeed, credit to households and GDP per capita have followed broadly similar tendencies over the last 20 years and it has been shown in the literature that they appear to influence each other. The consistency of this potential convergence process is also confirmed by the breakdown of household credit by type and maturity. There is a tendency towards similar household credit markets in Europe. However, it seems that this potential convergence process was slowed down by the financial crisis. Fortunately, the crisis also stabilised the share of loans in foreign currency in CEE countries. This might add more stability to credit markets in Eastern Europe.

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If the United Kingdom (UK) exits the EU in 2018, it would reduce that country’s exports and make imports more ex-pensive. Depending on the extent of trade policy isolation, the UK’s real gross domestic product (GDP) per capita would be between 0.6 and 3.0 percent lower in the year 2030 than if the country remained in the EU. If we take into ac-count the dynamic effects that economic integration has on investment and innovation behavior, the GDP losses could rise to 14 percent. In addition, it will bring unforeseeable political disadvantages for the EU – so from our perspective, we must avoid a Brexit.

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This paper provides empirical evidence in support of the view that the quality of institutions is an important determinant of long-term growth of European countries. When also taking into account the initial level of GDP per capita and government debt, cross-country institutional differences can explain to a great extent the relative long-term GDP performance of European countries. It also shows that an initial government debt level above a threshold (e.g. 60-70%) coupled with institutional quality below the EU average tends to be associated with particularly poor long-term real growth performance. Interestingly, the detrimental effect of high debt levels on long-term growth seems cushioned by the presence of very sound institutions. This might be because good institutions help to alleviate the debt problem in various ways, e.g. by ensuring sufficient fiscal consolidation in the longer-run, allowing for better use of government expenditures and promoting sustainable growth, social fairness and more efficient tax administration. The quality of national institutions seems to enhance the long-term GDP performance across a large sample of countries, also including OECD countries outside Europe. The paper offers some evidence that, in the presence of good institutions, conditions for catching-up seem generally good also for euro-area and fixed exchange rate countries. Looking at sub-groupings, it seems that sound institutions may be particularly important for long-term growth in the countries where the exchange rate tool is no longer available (and where also sovereign debt is high), and less so in the countries with flexible exchange rate regimes. However, this result is preliminary and requires further research. The empirical findings on the importance of institutions are robust to various measures of output growth, different measures of institutional indicators, different sample sizes, different country groupings and to the inclusion of additional control variables. Overall, the results tend to support the call for structural reforms in general and reforms enhancing the efficiency of public administration and regulation, the rule of law and the fight against rent-seeking and corruption in particular.