Akuntansi Perbankan Syariah (Sebuah Kajian Teori Dan Praktek Kontemporer)

Accounting of Shari\u27ah Banks is the financial accounting process from the collection of funds, distribution of funds. Every collection of funds is done by Shari\u27ah Banks have the accounts that are different from conventional banks. In the collection and Shari\u27ah Banks uses the accounts product and savings wadi\u27ah and savings and mudharabah deposits. In distributing and to Shari\u27ah Bank community uses 3 featured products are, financing mudharabah, Musharaka and buying and selling murabahah

An Unbalanced Nested Error Component Model for Estimating Pest Damage Functions and the Value of Rootworm Bt Corn

We apply Antweiler’s (2001) double-nested unbalanced panel data model to estimate a western corn rootworm damage function using data from field trials in Illinois and Nebraska. Results imply that expected yield losses for a one unit difference in the node injury scale are 16.4%. Estimated random year and state effects are statistically significant, as is the estimated random experimental effect. The experimental effect is relatively large indicating the tremendous variability in yield losses at the small scale for plots with the same node injury scale measure of root damage. Using the estimated pest damage function to assess the value of Bt corn for farmers in Nebraska and Illinois, we find that, with a mean yield of 200 bu/ac, a yield CV of 25%, a corn price of $3.50/bu, and a Bt corn technology fee of$16/ac, the value of Bt corn for farmers is $173.35/ac and$156.14/ac under very high and high pest pressure respectively.Crop Production/Industries,

VARIATION IN MARGINAL RESPONSE TO NITROGEN FERTILIZER BETWEEN LOCATIONS

A logistic growth equation with time and location varying parameters was used to model corn response to applied nitrogen. A nonlinear dummy-variable regression model provided a parsimonious representation of site and time effects on parameter values. The model was used to test for the equality of the mean marginal product of nitrogen fertilizer between locations on the coastal plain of North Carolina. Monte Carlo simulation and bootstrap simulation were used to construct finite sample covariance estimates. Results support rejection of the hypothesis that mean marginal products are equal when nitrogen is applied at 168 kg/ac. A comparison of bootstrapped errors and asymptotic errors suggests that results based on asymptotic theory are fairly reliable in this case.bootstrap, corn yield, marginal product, nitrogen fertilizer, nonlinear regression, Crop Production/Industries, C200, C150, Q100,