| 000 | 01898nam a22003857a 4500 | ||
|---|---|---|---|
| 001 | G77105 | ||
| 003 | MX-TxCIM | ||
| 005 | 20211006071647.0 | ||
| 008 | 121211s ||||f| 0 p|p||0|| | | ||
| 020 | _a970-648-076-5 | ||
| 040 | _aMX-TxCIM | ||
| 072 | 0 | _aA50 | |
| 072 | 0 | _aB10 | |
| 082 | 0 | 4 |
_a338.91 _bWAT |
| 100 | 1 |
_aNelson, G.C. _uInternational conference on impacts of agricultural research and development: Why has impact assessment research not made more of a difference? |
|
| 110 | 0 | _aCentro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT), Mexico DF (Mexico) | |
| 111 | 2 |
_aInternational Conference on Impacts of Agricultural Research and Development _cSan José (Costa Rica) _d4-7 Feb 2002 |
|
| 245 | 0 | 0 |
_aWhat GIS can (and can't)bring to impact assessment: _b novel data, analysis, and insights |
| 260 |
_aMexico, DF (Mexico) _bCIMMYT : _c2003 |
||
| 300 | _ap. 46 | ||
| 340 | _aPrinted | ||
| 500 | _aAbstract only | ||
| 520 | _aA key characteristic of geographic systems analysis is that location of an observation is known. The goal of this presentation is to indicate where the addition of location information adds value to the impact assessment of agricultural research. I adopt the 6 categories of impact assessment research identified by Pingali as an organizing framework for assessing the value of spatially explicit information and analysis. Selected results from the literature are presented and areas of future use and research identified. | ||
| 546 | _aEnglish | ||
| 591 | _a0310|R01CIMPU|AGRIS 0301|AL-Economics Program | ||
| 593 | _aJuan Carlos Mendieta | ||
| 595 | _aCPC | ||
| 650 | 1 | 0 | _aData analysis |
| 650 | 1 | 0 | _aField experimentation |
| 650 | 1 | 0 | _aGeographical information systems |
| 653 | 0 | _aCIMMYT | |
| 650 | 1 | 7 |
_aAgricultural research _gAGROVOC _2 _91006 |
| 700 | 1 |
_9960 _aWatson, D.J. _gResearch & Partnership Program _8INT3479 _eed. |
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| 942 | _cPRO | ||
| 999 |
_c6854 _d6854 |
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