| 000 | 01916nab a2200265 c 4500 | ||
|---|---|---|---|
| 999 |
_c142361 _d142361 |
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| 003 | ES-MaIEF | ||
| 005 | 20200818125000.0 | ||
| 007 | ta | ||
| 008 | 200818t2020 us ||||| |||| 00| 0|eng d | ||
| 040 |
_aES-MaIEF _bspa _cES-MaIEF |
||
| 041 | _aeng | ||
| 100 | 1 |
_949817 _aKovari, John |
|
| 245 | 0 |
_aPredicting TIF distress _ba statistical analysis of tax incremental finance districts in Wisconsin _c John Kovari |
|
| 260 | _c2020 | ||
| 500 | _aDisponible también en formato electrónico. | ||
| 500 | _aResumen. | ||
| 504 | _aBibliografía. | ||
| 520 | _aTax incremental financing (TIF) is the most prevalent, complex, and controversial economic development tool used by local governments today. TIF proponents argue that TIF increases stagnant property values, but critics suggest that TIF is an unnecessary subsidy and distorts real estate markets. Although case studies off evidence supporting both sides, the argument begs an important question: because some TIF districts are successful and others unsuccessful, is there a way to predictTIF distress and help prevent TIF failure? Practitioners and academics highlight thei mportance of pre‐implementation planning and strict monitoring of TIF per-formance. However, even with the most strident planning and monitoring, TIF districts still often fail. Utilizing a dataset of all 1,080 active TIF districts in Wisconsin, this paper adopts techniques popular in assessing local government fiscal health by focusing on indicators such as budgetary solvency and macro-economic conditions in predicting TIF distress | ||
| 650 | 4 |
_945217 _aHACIENDAS LOCALES |
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| 650 | 4 |
_948066 _aTRIBUTOS LOCALES |
|
| 650 | 4 |
_947773 _aESTADOS UNIDOS |
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| 773 | 0 |
_9162374 _oOP 1716/2020/1 _tPublic Budgeting and Finance _w(IEF)90019 _x 0275-1100 _gv. 40, n. 1, Spring 2020, p. 70-90 |
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| 856 | _uhttps://onlinelibrary.wiley.com/doi/epdf/10.1111/pbaf.12248 | ||
| 942 | _cART | ||