"... In PAGE 4: ...eferences...................................................................................................................................................60 Tables Table1 .... In PAGE 16: ... 12. Table1 provides an overview of the coal extraction workforce in Poland, Romania, Russia and Ukraine before restructuring was launched, and the forecasted need for the downsizing of the coal extraction workforce in each country. As can be seen, coal sector restructuring involves a substantial reduction of the pre-restructuring mining workforce in all countries.... In PAGE 17: ...5 by 26%, to about 685,000 (of whom 410,000 were classified as extraction workers, as indicated in Table1 ). In sum, while the reduction in the mining workforce is an important indicator of the scope and impact of restructuring, it should be stressed that coal sector restructuring has impacted many more workers both in the coal industry itself and in downstream and dependent industries.... ..."

"... In PAGE 31: ... Table12 b. An Alternative World Bank Index: Developing Countries Only DATA SET: ICRG, Averaged over the period 1984-1997 ICRG Corruption Rule of Law Bureaucracy Quality Contract Repudiation Expropriation Risk Socialist Legal Code .... ..."

"... In PAGE 4: .......................................... 22 Table13 --Past and projected trends in real prices of selected crop, livestock, and fisheries exports .... In PAGE 27: ... Impact on meat prices of the shifting locus of meat consumption in the world Farmers everywhere cannot help but be conscious of the fact that the last two decades have seen serious erosion of the purchasing power of agricultural commodities in terms of manufactured goods. Livestock producers are no exception, as shown in the top half of Table13 . Prices in the table are converted to dollars with a constant purchasing power in terms of manufactured goods in 1990 U.... In PAGE 28: ... Table13 --Past and projected trends in real prices of selected crop, livestock, and fisheries exports Year Wheat Rice Maize Soybeans Soymeal Beef Pork Poultry Lamb Shrimp Skipjack Fishmeal (constant 1990 US$/MT) 1970-1972 $232 $524 $215 $476 $415 $5,144 n/a n/a $3,248 $12,603 n/a $750 1980-1982 $236 $534 $169 $384 $338 $3,536 $2,344 $1,474 $3,730 $15,587 $1,029 $615 1990-1992 $135 $288 $104 $234 $195 $2,585 $1,781 $1,139 $2,440 $10,795 $946 $444 1993-1995 $139 $284 $99 $229 $179 $2,060 n/a $1,100 $2,395 $11,285 $1,132 $367 World Bank projections 2000 $135 $279 $102 $230 $189 $1,773 n/a n/a n/a $11,610 n/a n/a 2010 $118 $262 $92 $236 $196 $1,629 n/a n/a n/a $9,850 n/a n/a Rosegrant et al. projections 1992-4 $148 $286 $126 $263 n/a $2,023 $1,366 $1,300 $2,032 n/a n/a n/a 2010 $145 $305 $126 $255 n/a $1,929 $1,330 $1,232 $1,986 n/a n/a n/a 2020 $128 $260 $121 $250 n/a $1,919 $1,288 $1,248 $1,923 n/a n/a n/a Sources: Past data is from ERS 1997, Globefish 1997, IMF 1997, and World Bank 1993.... In PAGE 29: ...world beef price over where it would fall otherwise, even though real growth in beef prices is not expected. The price series in Table13 also demonstrate that it does not make much sense to debate world food availability in the aggregate sense without looking at the role of prices as a flexible mechanism to reallocate resources to increased production where necessary. The tremendous flexibility of the global production system in meeting expanded demand is hinted at by the more than twofold decline in world maize and soybean prices over 20 odd years, during a period when livestock production expanded by a factor of two.... ..."

"... In PAGE 34: ... 27 Table2 : Estimat ed cost per ha of watershed development under different programs Project category Approximate cost per ha in 1998 Rs . excluding COWDEP Including COWDEP NWDPRA 2500 - 3500 4000 - 6000 Jal Sandharan 2500 - 4000 4000 - 6500 NGOs 4000 - 6000 5500 - 8500 AGY/IGWDP 3 500 - 5500 5000 - 8000 World Bank 5500 - 6500 5500 - 6500 3.... In PAGE 79: ... However, only grass fodder, tree fod der and fuel were found in more than a few villages, so the analysis presented here is restricted to those commodities. The mean values of responses by project category are presented in Table2 0; it covers only the subset of 40 Maharashtra villages that h ad government revenue land in both 1987 and 1997. The table shows no significant differences across project categories or any other village characteristics.... In PAGE 80: ... Table2 0: Village - level change in availability of various products from common revenue lands between 1987 and 1997, by project category a,b Project category Number of villages % villages with different directions of change in availability of grass fodder % villages with different directions of change in availability of tree fodder % villages with different directions of change in availability of fuel More Same Less More Same Less More Same Less All villages 40 2 0 27.5 52.... In PAGE 81: ... Table2 1: Econometric analysis of determinants of change in availability of grass fodder and fuel on government revenue lands a Ordered probit regression Variable Grass fodder Fuel Model 1 b Model 2 c Model 1 b Model 2 c Av ailability of grass fodder (fuel) in 1987 2.13 (0.... In PAGE 84: ... Obviously this approach provides no lessons about how to address the problem in the majority of villages that do have government revenue land, but it may be an intelligent approach for agenci es with limited budgets that can only operate in a limited area. Table2 2: Percentage of respondents in Maharashtra who say they benefited from the watershed project, by project category and landholding size a Landholding size category Project category All respondents Landless 0 - 1 ha 1 - 2 ha gt; 2 ha All projects 26 12 19 26 45 NWDPRA 8 0 17 0 17 JS/DPAP 17 0 0 33 20 NGO 39 29 44 25 63 AGY/IGWDP 31 14 0 33 60 Notes: a Findings based on household survey; 120 respondents in Maharashtra. Table 23: Per centage of respondents in Maharashtra who say they were harmed by the watershed project, by project category and landholding size a Landholding size category Project category All respondents Landless 0 - 1 ha 1 - 2 ha gt; 2 ha All projects 11 19 8 10 7 NWDPR A 4 0 17 0 0 JS 13 33 0 11 0 NGOs 8 14 0 8 13 AGY/IGWDP 17 29 14 17 10 Notes: a Findings based on household survey; 120 respondents in Maharashtra.... In PAGE 84: ... Table 22: Percentage of respondents in Maharashtra who say they benefited from the watershed project, by project category and landholding size a Landholding size category Project category All respondents Landless 0 - 1 ha 1 - 2 ha gt; 2 ha All projects 26 12 19 26 45 NWDPRA 8 0 17 0 17 JS/DPAP 17 0 0 33 20 NGO 39 29 44 25 63 AGY/IGWDP 31 14 0 33 60 Notes: a Findings based on household survey; 120 respondents in Maharashtra. Table2 3: Per centage of respondents in Maharashtra who say they were harmed by the watershed project, by project category and landholding size a Landholding size category Project category All respondents Landless 0 - 1 ha 1 - 2 ha gt; 2 ha All projects 11 19 8 10 7 NWDPR A 4 0 17 0 0 JS 13 33 0 11 0 NGOs 8 14 0 8 13 AGY/IGWDP 17 29 14 17 10 Notes: a Findings based on household survey; 120 respondents in Maharashtra. ... In PAGE 86: ... Table 24 shows that respondents in the AGY - IGWDP and NGO project villages ind icated with much greater frequency that employment opportunities had risen, whereas those under the NWDPRA, the DPAP - Jal Sandharan, and in nonproject villages indicated that employment had declined. Table2 4: Reported changes in number of days of employm ent between 1987 and 1997, by project category a,b % of respondents indicating more, less or same access to employment Project category More Same Less All villages 33 61 6 NWDPRA 9 91 0 Jalsandharan 29 65 6 NGO 43 47 10 AGY/IGW DP 72 17 11 No project 18 78 4 Notes: a Findings from household - level interviews; n = 85. 35 respondents who do not engage in wage labor did not respond.... In PAGE 89: ... They are relatively flat and half of them are in the lower and middle part of the macrowatershed; these characteristics are more likely to be associated with a higher water t able. Table2 5: Average change in village - level percent irrigated area, by project category Project category % area irrigated, 1987 % area brought under irrigation, 1987 - 1997 % increase in irrigated area, 1987 - 1997 All villages 12.9 7.... In PAGE 90: ... As in the Maharashtra village level data, nonproject villages had a higher mean increase in cropping intensity than most projects. Table2 6: Mean increase in number of seasons irrigat ed 1987 - 1997, by project category Plot characteristic Mean increase in seasons irrigated All plots Maharashtra Andhra Pradesh .35 .... In PAGE 93: ... Table2 7: Number and percentage of respondents reporting that water - harvesting investments improved their access to irrigation State All respondents Far mers Farmers with irrigation Maharashtra 21 18 23 46 NWDPRA 2 8 11 13 DPAP 3 13 17 50 NGO 6 17 21 60 AGY - IGWDP 10 28 37 71 Andhra Pradesh 9 6 8 13 NWDPRA 2 6 8 22 DPAP 3 8 11 18 NGO 2 6 7 9 World Bank / ICAR 2 4 5 11 One obvious point in the table is that perceived benefits from irrigation are highly concentrated among farmers with access to irrigated land. There are also indirect benefits, such as higher employment demand, that respondents did not refer to.... In PAGE 102: ... Table2 9: Percentage of farmers who cultivate across the slope, by project category, both states a,b % of farmers who cultivated across the slope All respondents Respondents who interacted with the project staff Total observations % of total Total obse rvations % of total Maharashtra Overall 86 65 24 58 NWDPRA 12 50 0 n.a.... ..."