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National Statistics Status and Results. Alex Hasbach Daniel Karp Heather Tallis. Outline. Methods Acquired data and limitations Results Global trajectories Temporal tradeoffs between services Spatial tradeoffs between services Imports vs. In-Country Production.
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National Statistics Status and Results Alex Hasbach Daniel Karp Heather Tallis
Outline Methods • Acquired data and limitations Results • Global trajectories • Temporal tradeoffs between services • Spatial tradeoffs between services • Imports vs. In-Country Production
Acquired Data- Broad Categories • Crop production • Livestock production • Timber production • Water production
Valuation • SLC (Standard Local Currency) • Producer prices in local currency • PIN • Use international commodity prices so that exchange rates are not needed. • “International dollars.” Same price, regardless of the country it was produced. 1999-2001 prices. • Geary Khamis formula
Water Values? Global water tariffs database assigned by public utility. Done by organization for economic co-operation and development (OECD) and Global Water Intelligence (GWI) Need to subscribe to database. 261 cities worldwide 15m3/d water, include fixed and variable charges, then divide by 15
Uncertainty • FAO Categories: • M: Missing data • R: Estimated data (using trading partners database) • F: FAO estimate (used for quantities, like tonnes) • Fc: Calculated data (used for functions, like yield) • L: Modeled data • A: Aggregate (official, semi-official, or estimated data) • *: Unofficial Figure • Data may be 0 or blank • For: (1) total crops, (2) 13 crops, (3) primary livestock products, (4) processed livestock products, (5) live animals values are summed • Therefore, we are analyzing reported not actual production
Preliminary Results • All focus on: • Total Timber Production • Total Livestock Production • Total Crop Production
Global Trajectories • Countries are included if • Nonzero values of production are reported for all years • At least 7 unique values are given
Crops Livestock
Temporal Tradeoffs Between Services • Only included a country, if for each service: • At least 6 unique values of production are given over the 14-year span
Tradeoffs in Services Over Space • Only included a country if for both services…. • A non-zero value of production was reported for the year in question • Production is reported per total country area (1000ha)
Water- 2000 P=.06
Tradeoffs in Trade • Only included a country if: • At 7 least, unique, non-zero years of data were reported • No blanks occurred in the dataset
Next steps? Directions? • Are these analyses useful? • Aggregation and summing over missing values? • Trend in increasing correlation coefficients? • Is water data worthwhile? • Should we add water price? • Multiply livestock by masses? • How do we combine this with modeling results?
Net Total Crops (no feed/seed) Quantity (tonnes) Value (PIN) Export Crops Import Crops 13 Primary Crops Crops for Forage Quantity (tonnes) Value (PIN) Quantity (tonnes) Value (PIN) Quantity (tonnes) Value (SLC) Quantity (tonnes) Value (SLC) Ag Value- Livestock Value (counts processed products. Wine, e.g) Export Crops Import Crops Quantity (tonnes) Value (PIN) Quantity (tonnes) Value (PIN) Export Crops Import Crops Quantity (tonnes) Value (PIN) Quantity (tonnes) Value (PIN)
Red indicates missing information Total Livestock Quantity Value Primary Products (eggs, milk, etc.) Processed Products (butter etc.) Live Animals Heads/stocks Value Quantity (tonnes) Value (PIN) Quantity (tonnes) Value Export Import Export Import Quantity Value (PIN) Quantity Value (PIN) Quantity (tonnes) Value (PIN) Quantity (tonnes) Value (PIN)
Total Roundwood Production Quantity (volume) Value Red indicates missing information Import Roundwood Export Roundwood Volume PIN value Volume PIN value Roundwood: “Wood in natural state as felled. All wood from trees inside and outside forest including from natural, felling, or logging losses. Commodities include: sawlogs, pulpwood, fuelwood, etc. ”
Total Water Withdrawal Red indicates missing information Quantity (volume) Value Municipal withdrawal Industrial withdrawal Agricultural withdrawal Quantity (volume) Value Quantity (volume) Value Quantity (volume) Value NOTE: Data is very spotty. Max 3 data points per country (usually less)