Table 30: Decomposition of binary agro-chemical use decision at household level

||Coef.||Std.Err.|P|Std.Coef.|Shapley|
|---|---|---|---|---|---|---|
|+ Annual precipitation (mm)|-0.00012|***|9.11E-06|0|-0.1572|2.38|
|+ Elevation (m)|1.64E-05|**|7.24E-06|0.024|0.0295|0.49|
|+ Nutrient availability of soil||||||4.88|
|Near ocean|-0.01571||0.0307009|0.609|-0.0032||
|No or slight constraint|omitted||||||
|Moderate constraint|-0.06329|***|0.0049554|0|-0.0908||
|Severe constraint|-0.07707|***|0.0062243|0|-0.0883||
|Very severe constraint|0.045592||0.0429411|0.288|0.0065||
|Mainly non soil|-0.0568|*|0.031283|0.069|-0.0112||
|Near water|-0.00149||0.0135571|0.912|-0.0007||
|+ Maximum greenness (EVI) in growing season|0.553272|***|0.0420741|0|0.159|3.34|
|+ Agro-ecological zones||||||4.09|
|Tropic-warm/arid|0.032482|**|0.0159871|0.042|0.0141||
|Tropic-warm/semiarid|omitted||||||
|Tropic-warm/subhumid|-0.02379|***|0.0069571|0.001|-0.033||
|Tropic-warm/humid|0.074277|***|0.0155417|0|0.0536||
|Tropic-cool/semiarid|-0.05354|***|0.0093045|0|-0.0469||
|Tropic-cool/subhumid|0.022071|**|0.0100845|0.029|0.0226||
|<br>Tropic-cool/humid|0.059155|***|0.0151118|0|0.0397||
|Consumption (per AE) quintiles||||||2.20|
|<br>1 (lowest)|-0.04939|***|0.0064587|0|-0.0589||
|<br>2|-0.02645|***|0.006285|0|-0.0322||
|3|-0.01194|*|0.0061716|0.053|-0.0147||
|4|omitted||||||
|5 (highest)|0.023312|***|0.0062668|0|0.0283||
|<br>Sex of hh head (1=female)|-0.02292|***|0.0051321|0|-0.0284|1.73|
|Household size|0.006549|***|0.0008332|0|0.0543|3.11|
|Household dependencyratio|0.001824||0.0025628|0.477|0.0047|0.05|
|Size of hh land under cultivation (ha)|0.007742|***|0.0010393|0|0.0568|1.32|
|Number of crops produced by hh|0.025103|***|0.0013232|0|0.17|17.07|
|Cash crop produced by hh (1=yes)|-0.02152|***|0.0049183|0|-0.03|0.52|
|<br>Maizeproduced byhh(1=yes)|-0.0258|***|0.0059845|0|-0.0359|0.98|
|+ Distance to nearest market (km)|-9.2E-05||0.0000673|0.173|-0.0124|6.10|
|+ Distance to nearest major road (km)|0.000352|**|0.0001405|0.012|0.0173|0.73|
|Maingrainpriceper kg (in USD)|0.561882|***|0.0557924|0|0.1135|8.10|
|Country||||||42.91|
|<br>Ethiopia|0.087462|***|0.0116976|0|0.0885||
|<br>Malawi|omitted||||||
|Niger|-0.01037||1.78E-02|0.561|-0.0094||
|Nigeria|0.327894|***|0.0106117|0|0.3343||
|Tanzania|0.083967|***|0.0092623|0|0.0782||
|Uganda<br>|0.018<br>||0.0131118<br>|0.17<br>|0.0157<br>||

_Notes: *** p<0.01, ** p<0.05, * p<0.1. n=22,214 households; overall R_<sup>_~~2~~_</sup> _=0.189.Variables are grouped by categories described in text. Variables with a plus sign (+) are merged from a number of geo-referenced data sets publicly available on the LSMS-ISA website. Certain geo-referenced and aggregate variables are not currently available for Uganda 2010/11, so the same values for the 2009/10 round are used in their place. The main grain price is maize in all countries except Niger where the price of millet is used in its place. Agrochemical prices per kg are not observed in most countries, so we are unable to include a price variable here. Household level weights are not used (meaning households from Malawi are over-weighted in these results). This table was created using the “rego” user-written command in Stata. See text for more details on the decomposition methodology and interpretation._ 46