|
|
|
|
|
| Kaltsas, Ioannis K.; Beamer, Bobby G.. |
| A stochastic frontier production function that incorporates a model for technical inefficiency effects is used to investigate the industrial production of Greek food industries. Panel data comes from 29 Greek firms in 1988 through 1992. Parameters considered in the model for inefficiency effects include the degree of vertical integration, capital intensity, location, and time. A translog stochastic frontier function is estimated simultaneously with those variables in the model for inefficiency effects. The results indicate that technical efficiency among the firms ranges from 42 percent to 99 percent. More efficient firms are those with a higher degree of vertical integration that are located in rural areas and have sufficient investment in human capital... |
| Tipo: Journal Article |
Palavras-chave: Agribusiness. |
| Ano: 1999 |
URL: http://purl.umn.edu/26784 |
| |
|
| |
|
|
| Kaltsas, Ioannis K.; Bosch, Darrell J.; McGuirk, Anya M.. |
| Omitting spatial characteristics such as proximity to amenities from hedonic land value models may lead to spatial autocorrelation and biased and inefficient estimators. A spatial autoregressive error model can be used to model the spatial structure of errors arising from omitted spatial effects. This paper demonstrates an alternative approach to modeling land values based on individual and joint misspecification tests using data from Roanoke County in Virginia. Spatial autocorrelation is found in land value models of Roanoke County. Defining neighborhoods based on geographic and socioeconomics characteristics produces better estimates of neighborhood effects on land values than simple distance measures. Implementing a comprehensive set of individual and... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Land Economics/Use. |
| Ano: 2005 |
URL: http://purl.umn.edu/19406 |
| |
|
|
|
