6 resultados para Key Performance Indicators

em Archive of European Integration


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This study attempts to develop performance indicators for the financial markets based on the findings in an earlier Factor Markets Working Paper (No. 33, “Agricultural credit market institutions: A comparison of selected European countries”) and on FADN (Farm Accountancy Data Network) data. Two indicators were developed. One measured the long-term economic sustainability of agricultural firms since the financial characteristics of the firms were perceived as important factors when rejecting a loan applicant. If the indicator works, it should show that a low value in this indicator is related to the performance in the financial markets. The second indicator was the loan-to-value (LTV), or debt-to-asset ratio, the reasoning behind this indicator is that low values can point to credit constraints, and in WP 33 we saw that the interviewed experts expected LTVs to be much higher than what is actually the case. We find that the first indicator can’t be used to measure the performance of the financial institutions, since we can’t show any relationship between the indicator and activities in the financial markets. However, the indicator is valuable for its measurement of the long-term financial sustainability of the agricultural sector, or of the firms. The loan-to-value indicator does imply that most countries would have room to increase the credit.

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Agricultural land fragmentation is widespread and may affect farmers’ decisions and impact farm performance, either negatively or positively. The authors investigated this impact for the western region of Brittany, France, in 2007, regressing a set of performance indicators on a set of fragmentation descriptors. The performance indicators (production costs, yields, revenue, profitability, technical and scale efficiency) were calculated at the farm level using Farm Accountancy Data Network (FADN) data, while the fragmentation descriptors were calculated at the municipality level using data from the cartographic field pattern registry (RPG). The various fragmentation descriptors enabled the authors to account for not only the traditional number and average size of plots, but also their geographical scattering. They found that farms experienced higher costs of production, lower crop yields and lower profitability where land fragmentation (LF) was more pronounced. Total technical efficiency was not found to be significantly related to any of the municipality LF descriptors used, while scale efficiency was lower where the average distance to the nearest neighbouring plot was greater. Pure technical efficiency was found to be negatively related to the average number of plots in the municipality, with the unexpected result that it was also positively related to the average distance to the nearest neighbouring plot. By simulating the impact of hypothetical consolidation programmes on average pre-tax profits and wheat yield, the study also showed that the marginal benefits of reducing fragmentation may differ with respect to the improved LF dimension and the performance indicator considered. The analysis therefore shows that the measures of land fragmentation usually used in the literature do not reveal the full set of significant relationships with farm performance and that, in particular, measures accounting for distance should be considered more systematically.

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International large-scale assessments (ILSAs) and the resulting ranking of countries in key academic subjects have become increasingly significant in the development of global performance indicators and national level reforms in education. As one of the largest international surveys, the Programme for International Student Assessment (PISA) has had a considerable impact on the world of international comparisons of education. Based on the results of these assessments, claims are often made about the relative success or failure of education systems, and in some cases, such as Germany or Japan, ILSAs have sparked national level reforms (Ertl, 2006; Takayama, 2007, 2009). In this paper, I offer an analysis of how PISA is increasingly used as a key reference both for a regional2 entity like the European Union (EU) and for national level performance targets in the example of Spain (Breakspear, 2012). Specifically, the paper examines the growth of OECD and EU initiatives in defining quality education, and the use of both EU benchmarks and PISA in defining the education indicators used in Spain to measure and set goals for developing quality education. By doing so, this paper points to the role of the OECD and the EU in national education systems. It therefore adds to a body of literature pointing to the complex relationship between international, regional, and national education policy spaces (cf. Dale & Robertson, 2002; Lawn & Grek, 2012; Rizvi & Lingard, 2009).

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This report is based on discussions within the CEPS Task Force on “The Quantity and Quality of Human Capital in Higher Education: Comparing the EU, the US and China", chaired by Jan-Eric Sundgren, Senior Adviser to the CEO of Volvo, and former President of Chalmers University of Technology in Gothenburg. It aims to draw salient lessons from the successes and failures in higher education practices in the EU, the US and China by comparing key education indicators and policy trends. Against the background of the profound tectonic shifts affecting the talent distribution around the world, which is fundamentally changing the global ‘brain game’, the authors argue that it is important that the EU as a whole creates ‘virtuous circles’ of talent and innovation to sustain prosperity and growth, as well as to secure the long-term well-being and quality of life in Europe.

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In the third quarter of 2012, Ukraine’s economy recorded negative growth (-1.3%) for the first time since its 2009 economic crisis. Q4 GDP is projected to suffer a further decline, bringing Ukraine into formal recession. In addition to the worsening macroeconomic indicators, Ukraine is also facing a series of concomitant economic problems: a growing trade deficit, industrial decline, shrinking foreign exchange reserves, and the weakening of the hryvnia. Poor economic growth is expected to result in lower than projected budget revenues, which in turn could lead to the sequestration of the budget in December. The decline evident across the key economic indicators in the second half of 2012 brings to a close a period of relative economic stability and two years of economic growth, which had been seen as a significant personal achievement of President Viktor Yanukovych and the ruling Party of Regions. The health of the Ukrainian economy largely depends on the state of the country’s export- -oriented industries. The current economic forecasts for foreign markets are not very optimistic. It is impossible to determine whether the current economic downturn is likely to be merely temporary or whether it heralds the onset of a prolonged economic crisis. The limited capacity to deal with the growing economic problems may mean that Kiev will need to seek financial support from abroad. This is particularly significant with regard to external debt servicing, since in 2013 Ukraine will need to pay back around 9 billion USD, including over 5.5 billion USD to the International Monetary Fund. In order to overcome the recession and stabilise public finances, the government may be forced to take a series of unpopular measures, including raising the price of natural gas and utilities. These measures have been stipulated by the IMF as a condition of further financial assistance and the disbursement of the 12 billion USD stabilisation loan granted to Ukraine in July 2010. The only alternative for Western loans and economic reforms appears to be financial support from Russia. The price for Moscow’s help might however turn out to be very high, and precipitate a turn in Kiev’s foreign policy towards a gradual re-integration of former Soviet republics under Moscow-led geopolitical projects.