11 resultados para Agricultural cooperative credit associations

em Archive of European Integration


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This paper describes the aggregate rural capital markets of the EU and the main differences between the markets of its member countries. The results of our study suggest that the agricultural credit markets are still quite segmented and the segments are country- rather than currency- or region specific. Financial instability in Europe is also penetrating the agricultural sector and the variation of interest rates for agricultural credit is increasing across countries. Perhaps the most dramatic signal of growing financial instability is that the financial leverage (gearing rate) of European farms rose in 2008 by almost 4 percentage points, from 14 to 18%. The 4 percentage-point annual rise was twice the 2 percentage-point rise observed during the economic recession in the late 1980s and early 1990s. The distribution of the financial leverage of agriculture across countries does not, however, reflect the distribution of country-specific risk premiums in the manner that they are observed in government bond yields. Therefore, in those countries that have the weakest financial situation in the public sector and in which the bond markets are encumbered with high country-specific risk premiums, the agricultural sector is not directly exposed to a very large risk of increasing interest rates, since it is not so highly leveraged. For example in Greek and Spanish agriculture, the financial leverage (gearing) rate is only 0.6% and 2.2% respectively, while the highest gearing rates are found elsewhere (in Denmark), reaching 50%.

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In this paper we estimate the impact of subsidies from the EU’s common agricultural policy on farm bank loans. According to the theoretical results, if subsidies are paid at the beginning of the growing season they may reduce bank loans, whereas if they are paid at the end of the season they increase bank loans, but these results are conditional on whether farms are credit constrained and on the relative cost of internal and external financing. In the empirical analysis, we use farm-level panel data from the Farm Accountancy Data Network to test the theoretical predictions for the period 1995–2007. We employ fixed-effects and generalised method of moment models to estimate the impact of subsidies on farm loans. The results suggest that subsidies influence farm loans and the effects tend to be non-linear and indirect. The results also indicate that both coupled and decoupled subsidies stimulate long-term loans, but the long-term loans of large farms increase more than those of small farms, owing to decoupled subsidies. Furthermore, the results imply that short-term loans are affected only by decoupled subsidies, and they are altered by decoupled subsidies more for small farms than for large farms; however, when controlling for endogeneity, only the decoupled payments affect loans and the relationship is non-linear.

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This paper describes and compares the institutional framework of the agricultural credit markets in selected European countries. The institutions can be both formal (rules, regulations, authorities and actors) and informal (norms, values and relations). They also interact and in situations where the formal institutions are weak, the informal ones increase in importance. The study is based on a questionnaire sent to agricultural financial experts in selected countries. The case studies show that credit regulations are typically general, with no specific regulations for the agricultural credit market. On the other hand, several countries support agricultural credit in various forms, implying that the governments do not perceive the general credit market to function in the case of agricultural firms. In a risk assessment, the most frequent reasons for rejecting a loan application are all linked to economic performance and the situation of the farmer. Personal characteristics, such as educational level or lack of experience, were generally perceived as less influential. Another interesting point when it comes to risk assessment is that in some countries the importance of asset-based lending compared with cash flow-based lending seems to differ when concerning a first-time applicant and when there is an application to extend a loan. To get an idea of the availability of credit, the loan-to-value (LTV) ratio was calculated, and it showed remarkably low values for Poland and Slovakia. For all the countries, the calculated value was lower than what the financial experts would have expected. This might imply credit rationing in agriculture in some of the countries studied. The financial experts all judged the possibility of an agricultural firm obtaining a loan as higher than that for other small rural firms, implying that the latter are also credit-rationed.

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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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The undeveloped rural capital market in the Former Yugoslav Republic of Macedonia is constrained by an urban–rural development gap, with limited capacities for rural development and imperfections in the rural capital market. Among the most striking hindrances are the illegal status of a large share of agricultural buildings and other real estate in rural areas, particularly on the individual family farms that prevail in the country, and the insufficient knowledge and abilities of individual farmers in applying for credit. National, EU and other donor funds are being used to improve knowledge, skills and other human resources, and to address the illegal status of buildings and facilities. In recent years, government support for agricultural, rural and regional development has been introduced to promote good agricultural practices, production and economic activity in rural areas. The elimination of imperfections and improvements to the functioning of the capital market – making access to credit and funds easier, especially for small-scale family farms and for rural development – are seen as measures contributing to agriculture and more balanced rural and regional development.

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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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The aim of this Working Paper is to provide an empirical analysis of the marginal return on working capital and fixed capital in agriculture, based on data gathered by the Farm Accountancy Data Network from seven EU member states. Particular emphasis is placed on the detection of credit market imperfections. The key idea is to provide farm group-specific estimates of the shadow price of capital, and to use these to analyse the drivers of on-farm capital use in European agriculture. Based on Cobb Douglas estimates of farm-type specific production functions, we find that working capital is typically used in more than economically optimal quantities and often displays negative marginal returns across countries and farm types. This is less often the case with regard to fixed capital, but it is only in a small set of sectors where access to fixed capital appears severely constrained. These sectors include field crop and mixed farms in Denmark, dairy farms in East Germany, as well as mixed farms in Italy and the UK. The relationship between farm financial indicators and the estimated shadow prices of capital varies considerably across countries and sectors. Among the farms with a high shadow price for fixed capital in Denmark, high debt levels and little owned land tended to induce more intensive capital use, which may reflect the liberal Danish banking system. In East Germany, Italy and the UK, high debt levels made farmers more tightly capital constrained. Hence, in the latter group of countries, more traditional mechanisms of capital allocation based on debt capacity seemed to be at work. As a general conclusion, EU agriculture appears to be characterised by overcapitalisation rather than by credit constraints.

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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.