NOTE: This item is not available outside the Texas A&M University network. Texas A&M affiliated users who are off campus can access the item through NetID and password authentication or by using TAMU VPN. Non-affiliated individuals should request a copy through their local library's interlibrary loan service.
The potential economic impacts of alternative state taxes on different size Texas farms
dc.creator | Marburger, Darla Ann | |
dc.date.accessioned | 2012-06-07T22:49:42Z | |
dc.date.available | 2012-06-07T22:49:42Z | |
dc.date.created | 1997 | |
dc.date.issued | 1997 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1997-THESIS-M366 | |
dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
dc.description | Includes bibliographical references: p.83-86. | en |
dc.description | Issued also on microfiche from Lange Micrographics. | en |
dc.description.abstract | As school property tax rates rise to meet the increasing costs of education, so do lawmaker's concerns that this stagnant tax base may need to be replaced by a more dynamic tax alternative. Prior to the Seventy-Fifth Legislature, a staff work group was formed by the Governor and other state elected officials to examine possible alternatives to the school property tax. The group suggested three alternatives. This thesis investigates the individual impacts that a business activity tax, a business gross receipts tax, and the abolition of agricultural sales tax exemptions would have on the economic viability of Texas farms. A whole farm computer simulation model (FLIPSIM) was used to simulate seven representative farms producing five of the state's chief agricultural commodities (beef cattle, cotton, feed grains, rice, and dairy) in different regions of the state. The farms were simulated under four different scenarios (a baseline, and the three tax alternatives from the staff work group report) for I 00 iterations over a seven-year planning horizon. FLIPSIM results generated an empirical probability density function for the net present value of each farm to be used by STODOM, a stochastic dominance computer program, to determine which tax strategy a risk-averse decision maker would prefer for each representative farm. The results indicated that the baseline tax scenario was preferred by five of the seven representative farms, while the two fanns with the lowest net cash farm income preferred the business activity tax. If the baseline tax scenario were not an option, all of the farrns would prefer the business activity tax. The sales tax strategy was the most economically adverse tax strategy for all of the seven farms, doubling | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | Texas A&M University | |
dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
dc.subject | agricultural economics. | en |
dc.subject | Major agricultural economics. | en |
dc.title | The potential economic impacts of alternative state taxes on different size Texas farms | en |
dc.type | Thesis | en |
thesis.degree.discipline | agricultural economics | en |
thesis.degree.name | M.S. | en |
thesis.degree.level | Masters | en |
dc.type.genre | thesis | en |
dc.type.material | text | en |
dc.format.digitalOrigin | reformatted digital | en |
Files in this item
This item appears in the following Collection(s)
-
Digitized Theses and Dissertations (1922–2004)
Texas A&M University Theses and Dissertations (1922–2004)
Request Open Access
This item and its contents are restricted. If this is your thesis or dissertation, you can make it open-access. This will allow all visitors to view the contents of the thesis.