18 resultados para credit constraints
em Archive of European Integration
Resumo:
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.
Resumo:
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.
Resumo:
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.
Resumo:
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.
Resumo:
In response to the often-heard accusation that “austerity is killing growth in Europe”, Daniel Gros asks in this new Commentary: “What austerity?” Looking at the entire budget cycle, he finds that the picture of austerity killing growth simply does not hold up. Since the bursting of the bubble in 2007, Gros reports that the economic performance of the US has been very similar to that of the euro area: GDP per capita is today about 2% below the 2007 level on both sides of the Atlantic; and the unemployment rate has increased by about the same amount as well: it increased by 3% both in the US and the euro area. Thus, he concludes that over a five-year period, the US has not done any better than the euro area although it has used a much larger dose of fiscal expansion.