Table 1. Descriptive Statistics on Regulatory Differences and Explanatory Variables
(2256 Observations)
Dependent Variables_______________ |
_______________Unit |
Mean |
Std.Dev. |
Minimum |
Maximum |
NWS list regulatory overlap | |||||
2002 |
NA |
0.428 |
0.182 |
0.083 |
0.963 |
1997 |
NA |
0.411 |
0.186 |
0.057 |
1.000 |
NWS-prohibited list regulatory overlap | |||||
2002 |
NA |
0.401 |
0.269 |
0.000 |
1.000 |
1997 |
NA |
0.320 |
0.202 |
0.000 |
1.000 |
NWS-restricted regulatory list overlap | |||||
2002 |
NA |
0.411 |
0.269 |
0.000 |
1.000 |
1997 |
NA |
0.319 |
0.197 |
0.000 |
1.000 |
NW list regulatory overlapa | |||||
2002 |
NA |
0.302 |
0.295 |
0.000 |
1.000 |
1997 |
NA |
0.310 |
0.268 |
0.000 |
1.000 |
Independent Variables | |||||
Lobby Variables | |||||
Seed producers | |||||
2002 |
$ |
108618 |
189283 |
550 |
1040040 |
1997 |
$ |
92233 |
169980 |
250 |
1010680 |
Consumers | |||||
2002 |
$ |
364199 |
551105 |
2500 |
2564890 |
1997 |
$ |
253955 |
624000 |
5000 |
4206990 |
Commodity producers | |||||
2002 |
$ |
775331 |
1272660 |
15865 |
6476520 |
1997 |
$ |
556395 |
933924 |
4550 |
5179920 |
Agronomic Variables | |||||
Irrigated land share | |||||
2002 |
Acre/Acre |
0.177 |
0.221 |
0.002 |
0.794 |
1997 |
Acre/Acre |
0.178 |
0.238 |
0.002 |
0.901 |
Field land share | |||||
2002 |
Acre/Acre |
0.686 |
0.171 |
0.296 |
1.030 |
1997 |
Acre/Acre |
0.685 |
0.172 |
0.310 |
1.089 |
Ecological Variablesb | |||||
Average Temperature |
January temperature |
52.498 |
7.684 |
40.161 |
70.902 |
Average Precipitation |
Days of precipitation |
88.450 |
33.930 |
21.713 |
142.551 |
Variance of Temperature |
NA |
5.419 |
6.196 |
0.000 |
37.893 |
Variance of precipitation |
NA |
266.549 |
895.464 |
0.000 |
4849.02 |
Land Share Indexc |
Index |
0 |
1.00 |
-1.785 |
1.8340 |
Water Share Indexc |
Index |
0 |
1.00 |
-1.210 |
3.981 |
Soil Share Indexc_______________________ |
______________Index |
_______0 |
1.00 |
-1.447 |
2.592 |
a Number of observations is 1190 and 870 respectively for 2002 and 1997
b NORSIS, US Forest Service data.
c Based on principal component analysis.
27
More intriguing information
1. The name is absent2. Non-causality in Bivariate Binary Panel Data
3. The name is absent
4. Incorporating global skills within UK higher education of engineers
5. An Estimated DSGE Model of the Indian Economy.
6. Credit Markets and the Propagation of Monetary Policy Shocks
7. The name is absent
8. ADJUSTMENT TO GLOBALISATION: A STUDY OF THE FOOTWEAR INDUSTRY IN EUROPE
9. The name is absent
10. The name is absent