8 resultados para Economic dynamic

em Archive of European Integration


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[From the Introduction]. The economic rules, or put more ambitiously, the economic constitution of the Treaty,1 only apply to economic activities. This general principle remains valid, even if some authors strive to demonstrate that certain Treaty rules also apply in the absence of an economic activity,2 and despite the fact that non-economic (horizontal) Treaty provisions (e.g. principle of nondiscrimination, rules on citizenship) are also applicable in the absence of any economic activity.3 Indeed, the exercise of some economic activity transcends the concepts of ‘goods’ (having positive or negative market value),4 workers (even if admitted in an extensive manner),5 and services (offered for remuneration).6 It is also economic activity or ‘the activity of offering goods and services into the market’7 that characterises an ‘undertaking’ thus making the competition rules applicable. Further, it is for regulating economic activity that Article 115 TFEU, Article 106(3) TFEU and most other legal bases in the TFEU provide harmonisation powers in favour of the EU. Last but not least, Article 14 TFEU on the distinction between services of general economic interest (SGEIs) and non-economic services of general interest (NESGIs), as well as Protocol n. 26 on Services of General Interest (SGIs) confirm the constitutional significance of the distinction between economic and non-economic: a means of dividing competences between the EU and the member states. The distinction between economic and non-economic activities is fraught with legal and technical intricacies – the latter being generated by dynamic technological advances and regulatory experimentation. More importantly, however, the distinction is overcharged with political and ideological significations and misunderstandings and, even, terminological confusions.8

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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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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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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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Addressing high and volatile natural resource prices, uncertain supply prospects, reindustrialization attempts and environmental damages related to resource use, resource efficiency has evolved into a highly debated proposal among academia, policy makers, firms and international financial institutions (IFIs). In 2011, the European Union (EU) declared resource efficiency as one of its seven flagship initiatives in its Europe 2020 strategy. This paper contributes to the discussions by assessing its key initiative, the Roadmap to a Resource Efficient Europe (EC 2011 571), following two streams of evaluation. In a first step, resource efficiency is linked to two theoretical frameworks regarding sustainability, (i) the sustainability triangle (consisting of economic, social and ecological dimensions) and (ii) balanced sustainability (combining weak and strong sustainability). Subsequently, both sustainability frameworks are used to assess to which degree the Roadmap follows the concept of sustainability. It can be concluded that it partially respects the sustainability triangle as well as balanced sustainability, primarily lacking a social dimension. In a second step, following Steger and Bleischwitz (2009), the impact of resource efficiency on competitiveness as advocated in the Roadmap is empirically evaluated. Using an Arellano–Bond dynamic panel data model reveals no robust impact of resource efficiency on competiveness in the EU between 2004 and 2009 – a puzzling result. Further empirical research and enhanced data availability are needed to better understand the impacts of resource efficiency on competitiveness on the macroeconomic, microeconomic and industry level. In that regard, strengthening the methodologies of resource indicators seem essential. Last but certainly not least, political will is required to achieve the transition of the EU-economy into a resource efficient future.

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Addressing high and volatile natural resource prices, uncertain supply prospects, reindustrialization attempts and environmental damages related to resource use, resource efficiency has evolved into a highly debated proposal among academia, policy makers, firms and international financial institutions (IFIs). In 2011, the European Union (EU) declared resource efficiency as one of its seven flagship initiatives in its Europe 2020 strategy. This paper contributes to the discussions by assessing its key initiative, the Roadmap to a Resource Efficient Europe (EC 2011 571), following two streams of evaluation. In a first step, resource efficiency is linked to two theoretical frameworks regarding sustainability, (i) the sustainability triangle (consisting of economic, social and ecological dimensions) and (ii) balanced sustainability (combining weak and strong sustainability). Subsequently, both sustainability frameworks are used to assess to which degree the Roadmap follows the concept of sustainability. It can be concluded that it partially respects the sustainability triangle as well as balanced sustainability, primarily lacking a social dimension. In a second step, following Steger and Bleischwitz (2009), the impact of resource efficiency on competitiveness as advocated in the Roadmap is empirically evaluated. Using an Arellano–Bond dynamic panel data model reveals no robust impact of resource efficiency on competiveness in the EU between 2004 and 2009 – a puzzling result. Further empirical research and enhanced data availability are needed to better understand the impacts of resource efficiency on competitiveness on the macroeconomic, microeconomic and industry level. In that regard, strengthening the methodologies of resource indicators seem essential. Last but certainly not least, political will is required to achieve the transition of the EU-economy into a resource efficient future.

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This paper estimates the immediate impact of the European Central Bank’s asset purchase programmes on sovereign bond spreads in the euro area between 2008 and 2015 using a country-by-country GARCH model. The baseline estimates are rigorously diagnosed for misspecification and subjected to a wide range of sensitivity tests. Among others, changes in the dependent variable, the independent variables and the number of (G)ARCH terms are tested. Moreover, the model is applied to subsamples and dynamic conditional correlations are analyzed to estimate the effects of the asset purchases on the contagion of spread movements. Generally, it is found that the asset purchase programmes triggered an reduction of sovereign bond spreads. More specifically, the Securities Markets Programme (SMP) had the most significant immediate effects on sovereign bond spreads across the euro area. The announcements related to the Outright Monetary Transactions (OMT) programme also yielded substantial spread compression in the periphery. In contrast to that, the most recent Public Sector Purchase Programme (PSPP) announced in January 2015 and implemented since March 2015 had no significant immediate effects on sovereign bond spreads, except for Irish spreads. Hence, immediate effects seem to be dependent upon the size of the programme, the extent to which it targets distressed sovereigns and the way in which it is communicated.

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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.