14 resultados para Factor Analyses

em Archive of European Integration


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From the Introduction. The main focus of this study is to examine whether the euro has been an economic, monetary, fiscal, and social stabilizer for the Eurozone. In order to do this, the underpinnings of the euro are analysed, and the requirements and benchmarks that have to be achieved, maintained, and respected are tested against the data found in three major statistics data sources: the European Central Bank’s Statistics Data Warehouse (http://sdw.ecb.europa.eu/), Economagic (www.economagic.com), and E-signal. The purpose of this work is to analyse if the euro was a stabilizing factor from its inception to the break of the financial crisis in summer 2008 in the European Union. To answer this question, this study analyses a number of indexes to understand the impact of the euro in three markets: (1) the foreign exchange market, (2) the stock market, and the Crude Oil and commodities markets, (3) the money market.

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The paper provides an overview and a comparison of land markets covering the three candidate countries for European Union membership: Croatia, the Former Yugoslav Republic (FYR) of Macedonia and Turkey. It analyses and compares agricultural land structures and factors driving land markets, based on the available cross-section and time-series evidence on agricultural land structures and land productivity (yields). The land productivity measured by production per hectare of agricultural land varies between the three countries. Agricultural land structures are the result of historical evolution in land markets and land-leasing developments with additional different institutional environments and agrarian and land reforms.

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Drawing on a unique, farm-level panel dataset with 37,409 observations and employing a matching estimator, this paper analyses how farm access to credit affects farm input allocation and farm efficiency in the Central and Eastern European transition countries. We find that farms are asymmetrically credit constrained with respect to inputs. Farm use of variable inputs and capital investment increases up to 2.3% and 29%, respectively, per €1,000 of additional credit. Our estimates also suggest that farm access to credit increases total factor productivity up to 1.9% per €1,000 of additional credit, indicating that an improvement in access to credit results in an adjustment in the relative input intensities on farms. This finding is further supported by a negative effect of better access to credit on labour, suggesting that these two are substitutes. Interestingly, farms are found not to be credit constrained with respect to land.

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This paper provides an overview and comparison of labour markets in agricultural and rural areas in the three candidate countries for the EU membership: Croatia, the Former Yugoslav Republic of Macedonia and Turkey. We analyse and compare the labour market structures and the factors driving them. The analyses are based on the available cross-section and time-series data on agricultural labour structures and living conditions in rural areas. Considerable differences are found among the candidate countries in the importance of the agricultural labour force, between rural and urban labour, and in poverty and living conditions in rural areas. Agricultural and rural labour market structures are the result of demographic and education processes, in addition to labour flows between agricultural and non-agricultural activities, from rural areas to urban ones and migration flows abroad. Declines in the agricultural labour force and rural population are foreseen for each of the candidate countries, but with significant variations between them. Showing different patterns over time, labour market developments in the sector and rural areas have been shaped by the overall labour market institutions, conditions and other factors in each country, such as the legal basis, educational attainment and migration flows, as well as the presence of non-agricultural activities in rural areas.

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This paper analyses agricultural and rural capital factor markets in the three European Union candidate countries: Croatia, the Former Yugoslav Republic (FYR) of Macedonia and Turkey. Aggregate capital market indicators and their dynamics, and factors driving agricultural and rural capital markets are analysed and compared in these countries. In general, agricultural and rural capital markets show similarities with general capital market developments, but agricultural and rural capital markets are facing specific credit constraints related to agricultural assets and rural fixed asset specificities, which constrain their mortgages and collateral use. Credit market imperfections have limited access to the investment credits necessary for the restructuring of small-scale individual farms. Government transfers are used to differing extents in the candidate countries, but generally tend to increase over time. Remittances and donor funds have also played an important role in agricultural and rural economy investments.

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This paper analyses the main institutional factors affecting the rental and sales markets for agricultural land. Particular attention is paid to the effects of the common agricultural policy on land markets, and more specifically the underlying mechanism through which agricultural subsidies are capitalised into land values and farmland rents. This paper also provides a broad overview of the empirical studies that estimate the impact of agricultural support policies on land rents and land prices. Various other fundamental factors that affect agricultural land markets are discussed, such as land market institutions and regulations, transaction costs, credit market constraints and levels of profitability, the legal means of contract enforcement and land use alternatives.

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Factor markets are a central issue in analyses of farm development and of agricultural sector vitality. Among the different production factors, land is one of the most studied. Several studies seek to estimate the effect of government policy payments on land value or land rental prices. The studies mostly agree that government payments and other types of policy support are significant in explaining land prices and account for a large share of them. In October 2011, the European Commission published a new policy proposal for the common agricultural policy (CAP) up to 2020. The proposed regulation includes a shift from historical to regional payments. The objective of this paper is to provide an ex ante analysis of the impact of the new CAP policy instruments on the land market. In particular, the effect of the regionalisation of payments in Italy is examined. The analysis is based on the use of a mathematical programming model to simulate the changes in land demand for a farm in Emilia Romagna. The results highlight the relevance of the new policy mechanism in determining a change in land demand. Yet the effect is highly dependent on initial ownership of entitlements under the historical payment scheme.

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This paper analyses the effects of the Single Payment Scheme (SPS) with and without farm structural change, and focuses on how income distributional effects and farm restructuring are impacted by the SPS under: alternative entitlement tradability, cross-compliance and CAP 'greening' requirements, different SPS implementation models, the entitlement stock, market imperfections and institutional regulations. The authors find that the SPS implication details are highly significant, since farmers’ benefits can range from 100% of the SPS value to a negative policy incidence, and farm structural change may also be hindered by the SPS.

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One objective of Computable general equilibrium (CGE) models is the analysis of economy-wide effects of policy measures. The focus of the Factor Markets project is to analyse the functioning of factor markets for agriculture in the EU-27, including the Candidate Countries. While agricultural and food markets are fully integrated in a European single market, subject to an EU-wide common policy, the Common Agricultural Policy (CAP), this is not the case for the agricultural factor markets capital, labour and land. There are partly serious differences with regard to member state regulations and institutions affecting land, labour and capital markets. The presentation of this heterogeneity of factor markets amongst EU Member States have been implemented in the CGE models to improve model-based analyses of the CAP and other policy measures affecting agricultural production. This final report comprises the outcome of a systematic extension and improvement of the Modular Applied GeNeral Equilibrium Tool (MAGNET) model starting from an overview of the current state of the art to represent factor markets in CGE models to a description of work on labour, land and capital in MAGNET.

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This paper analyses the consequences of enhanced biofuel production in regions and countries of the world that have announced plans to implement or expand on biofuel policies. The analysis considers biofuel policies implemented as binding blending targets for transportation fuels. The chosen quantitative modelling approach is two-fold: it combines the analysis of biofuel policies in a multi-sectoral economic model (MAGNET) with systematic variation of the functioning of capital and labour markets. This paper adds to existing research by considering biofuel policies in the EU, the US and various other countries with considerable agricultural production and trade, such as Brazil, India and China. Moreover, the application multi-sectoral modelling system with different assumptions on the mobility of factor markets allows for the observation of changes in economic indicators under different conditions of how factor markets work. Systematic variation of factor mobility indicates that the ‘burden’ of global biofuel policies is not equally distributed across different factors within agricultural production. Agricultural land, as the pre-dominant and sector-specific factor, is, regardless of different degrees of inter-sectoral or intra-sectoral factor mobility, the most important factor limiting the expansion of agricultural production. More capital and higher employment in agriculture will ease the pressure on additional land use – but only partly. To expand agricultural production at global scale requires both land and mobile factors adapted to increase total factor productivity in agriculture in the most efficient way.

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This paper empirically analyses a dataset of more than 7,300 agricultural land sales transactions from 2001 and 2007 to identify the factors influencing agricultural land prices in Bavaria. We use a general spatial model, which combines a spatial lag and a spatial error model, and in addition account for endogeneity introduced by the spatially lagged dependent variable as well as other explanatory variables. Our findings confirm the strong influence of agricultural factors such as land productivity, of variables describing the regional land market structure, and of non-agricultural factors such as urban pressure on agricultural land prices. Moreover, the involvement of public authorities as a seller or buyer increases sales prices in Bavaria. We find a significant capitalisation of government support payments into agricultural land, where a decrease of direct payments by 1% would decrease land prices in 2007 and 2001 by 0.27% and 0.06%, respectively. In addition, we confirm strong spatial relationships in our dataset. Neglecting this leads to biased estimates, especially if aggregated data is used. We find that the price of a specific plot increases by 0.24% when sales prices in surrounding areas increase by 1%.

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This paper analyses the factors affecting off-farm labour decisions of Italian farm operators. Using micro-level data from the Farm Business Survey (REA) over the pre- and post-2003 CAP reform periods, we investigated the impact that operator, family, farm and market characteristics exert on these choices. Among other things, the paper focuses also on the differential impact of those variables for operators of smaller and larger holdings. The main results suggest that operator and family characteristics have a significant impact on the decision to participate in off-farm work more for smaller than for bigger farms. By contrast, farm characteristics are more relevant variables for bigger farms. In particular, decoupled farm payments, by increasing the marginal productivity of farm labour, lower the probability of working off the farm only in bigger farms, while coupled subsidies in pre-reform years do not have a significant impact on labour decisions. Finally, we show that, after accounting for the standard covariates, local and territorial labour market characteristics generally have a low effect on off-farm work operators’ choices.

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This Factor Markets Working Paper analyses the impact of increasing direct payments on land rents in six new EU member states in which agricultural subsidies largely increased as a result of their EU accession. The authors find that up to 25 eurocents per additional euro of direct payments is capitalised in land rents. In addition, the results show that capitalisation of direct payments is higher in more credit constrained markets, while capitalisation of direct payments is lower in countries where more land is used by corporate farms.

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The labour force engaged in the agricultural sector is declining over time, and one can observe the reallocation of labour from family members to hired workers. Using farm-level data, this paper analyses the on-farm labour structure in Greece and assesses the factors driving its evolution over the period 1990-2008. The impact of agricultural policies and farm characteristics is examined in a dynamic panel analysis. Family and hired labour are found to be substitutes rather than complements, while agricultural support measures appear to negatively affect demand for both family and hired labour. Decoupled payments and subsidies on crops are found to have a significant impact on both sources of labour, as well as subsidies for rural development that do not favour on-farm labour use. The paper also finds that structural labour adjustments are the result of farm characteristics, such as farm size and location. The results are robust to various estimation techniques and specifications.