|
|
|
|
|
| Subbotin, Alexander. |
| The Russian establishment- politicians, agricultural officials, corporate farm managers, the media- firmly believe that inadequate access to credit is one of the major factors constraining the growth of the agricultural sector. In technical terms, they in effect claim that Russian agriculture faces credit rationing. In this article, we apply discrete regression analysis to study the determinants of access to credit for corporate farms, without addressing the issue of whether or not the actual borrowing is sufficient for the farms' needs. Our analysis shows that factors reflecting economic efficiency are the main determinants of access to credit. On the other hand, asset endowments, such as land and capital stock, have a very weak effect on the ability to... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Russian agriculture; Transition economics; Farm finance; Credit rationing; Logistic regression; Agricultural Finance; P340; Q140. |
| Ano: 2005 |
URL: http://purl.umn.edu/24514 |
| |
|
|
| Nadolnyak, Denis A.; Novak, James L.; Paz, Joel O.. |
| The paper reports results of non-parametric analysis of peanut, corn, and cotton yield distributions by the ElNino Southern Oscillation (ENSO) phases in the Southeastern U.S. For validation purposes, the historical yield data is complemented by a set of simulated peanut yields generated using daily weather data. The hypothesis, justified by the observed South-Eastern climate differences and research on ENSO cycles and planting dates, is that different climate conditions during ENSO cycles translate into different yield distributions and, therefore, insurance premiums (loss to coverage ratios). Kernel density estimates of historical county yield data show consistent patterns in the actuarially fair rate schedules grouped by ENSO phases and geographical... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk and Uncertainty; Q140; C220; G220. |
| Ano: 2007 |
URL: http://purl.umn.edu/9718 |
| |
|
| |
|
| |
|
|
|
