MAgPIE - An Open Source land-use modeling framework

4.3.2

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Agricultural trade (21_trade)

Description

This module represents agricutlural trade among world regions. It ensures that the regional demand is met by domestic production and imports from other regions. The global trade balance dictates that global production must be larger than or equal to global demand. For non-traded goods, the regional production must be larger than or equal to regional demand.

Interfaces

Interfaces to other modules

Input

module inputs (A: exo | B: free_apr16 | C: off | D: selfsuff_reduced)
  Description Unit A B C D
vm_prod_reg
(i, kall)
Regional aggregated production \(10^6 tDM/yr\) x x x x
vm_supply
(i, kall)
Regional demand \(10^6 tDM/yr\) x x x x

Output

module outputs
  Description Unit
pm_selfsuff_ext
(t_ext, i, kforestry)
Self sufficiency for timber products in extended time frame \(1\)
vm_cost_trade
(i)
Regional trade costs \(10^6 USD_{05MER}/yr\)

Realizations

(A) exo

In this realization, agricultural trade is fully prescribed exogenously. This also means that there is no interaction between regions as amounts of exports and imports are fix.

\[\begin{multline*} vm\_prod\_reg(i2,kall) \geq vm\_supply(i2,kall) + \sum_{ct}f21\_trade\_balance(ct,i2,kall) - v21\_manna\_from\_heaven(i2,kall) \end{multline*}\]

The regional production must be bigger than the regional demand plus exports from that region (or minus imports in case of a negative trade balance). As the trade balance in this realization is exogenously defined there is the imminent risk of infeasibilities. To get results even in case of infeasble trade balance conditions v21_manna_from_heaven is introduced. It is an unlimited, but heavily expensive resource which can be used as last resort, if in any other case the model would become infeasible.

\[\begin{multline*} vm\_cost\_trade(i2) = 10^{6 } \cdot \sum_{kall}v21\_manna\_from\_heaven(i2,kall) \end{multline*}\]

After each run trade costs vm_cost_trade as well as v21_manna_from_heaven should be checked for non-zero values as these will indicate inconsistencies between model simulation and exogenously provided trade balances.

Limitations regions are completely separated and do not interact with each other

(B) free_apr16

In this realization, agricultural trade is fully liberalized in all timesteps.

\[\begin{multline*} \sum_{i2 }vm\_prod\_reg(i2,k\_trade) \geq \sum_{i2} vm\_supply(i2,k\_trade) \end{multline*}\]

\[\begin{multline*} vm\_prod\_reg(i2,k\_notrade) \geq vm\_supply(i2,k\_notrade) \end{multline*}\]

Limitations This realization does not account for current trends in agricultural trade.

(C) off

In this realization, there is no agricultural trade, i.e. regions are fully self-sufficient and dependent on domestic production.

\[\begin{multline*} vm\_prod\_reg(i2,kall) \geq vm\_supply(i2,kall) \end{multline*}\]

Limitations This realization does not account for current trends in agricultural trade.

(D) selfsuff_reduced

Within this realization, there are two ways for a region to fulfill its demand for agricultural products: a self-sufficiency pool based on historical region specific trade patterns, and a comparative advantage pool based on most cost-efficient production. In the self-sufficiency pool, regional self-sufficiency ratios f21_self_suff_seedred_1995(i,k) defines how much of the demand of each region i for each traded goods k_trade has to be met by domestic production. Self sufficiency ratios smaller than one indicate that the region imports from the world market, while self-sufficiencies greater than one indicate that the region produces for export. Trade costs, inlucding trade margins and tariffs, are considered.

Implementation of trade.

In the comparative advantage pool, the only active constraint is that the global supply is larger or equal to demand. This means that production can be freely allocated globally based on comparative advantages.

\[\begin{multline*} \sum_{i2 }vm\_prod\_reg(i2,k\_trade) \geq \sum_{i2} vm\_supply(i2,k\_trade) + \sum_{ct}f21\_trade\_balanceflow(ct,k\_trade) \end{multline*}\]

For non-tradable commodites, the regional supply should be larger or equal to the regional demand.

\[\begin{multline*} vm\_prod\_reg(i2,k\_notrade) \geq vm\_supply(i2,k\_notrade) \end{multline*}\]

The following equation indicates the regional trade constraint for the self-sufficiency pool. The share of regional demand that has to be fulfilled through the self-sufficiency pool is determined by a trade balance reduction factor for each commodity i21_trade_bal_reduction(ct,k_trade) according to the following equations (Schmitz et al. 2012). If the trade balance reduction equals 1 (f21_self_suff(ct,i2,k_trade) = 1), all demand enters the self-sufficiency pool. If it equals 0, all demand enters the comparative advantage pool. Lower bound for production.

\[\begin{multline*} vm\_prod\_reg(i2,k\_trade) \geq \left(vm\_supply(i2,k\_trade) + v21\_excess\_prod(i2,k\_trade)\right) \cdot \sum_{ct}i21\_trade\_bal\_reduction(ct,k\_trade) \$\left(\sum_{ct}\left(f21\_self\_suff(ct,i2,k\_trade) \geq 1\right)\right) + vm\_supply(i2,k\_trade) \cdot \sum_{ct}f21\_self\_suff(ct,i2,k\_trade) \cdot \sum_{ct}i21\_trade\_bal\_reduction(ct,k\_trade) \$\left(\sum_{ct}\left(f21\_self\_suff(ct,i2,k\_trade) < 1\right)\right) \end{multline*}\]

Upper bound for production.

\[\begin{multline*} vm\_prod\_reg(i2,k\_trade) \leq \left(\frac{\left(vm\_supply(i2,k\_trade) + v21\_excess\_prod(i2,k\_trade)\right)}{\sum_{ct}i21\_trade\_bal\_reduction(ct,k\_trade)}\right) \$\left(\sum_{ct}\left(f21\_self\_suff(ct,i2,k\_trade) \geq 1\right)\right) + \left(vm\_supply(i2,k\_trade) \cdot \frac{\sum_{ct}f21\_self\_suff(ct,i2,k\_trade)}{\sum_{ct}i21\_trade\_bal\_reduction(ct,k\_trade)}\right) \$\left(\sum_{ct}\left(f21\_self\_suff(ct,i2,k\_trade) < 1\right)\right) \end{multline*}\]

The global excess demand of each tradable good v21_excess_demad equals to the sum over all the imports of importing regions.

\[\begin{multline*} v21\_excess\_dem(k\_trade) \geq \sum_{i2}\left( vm\_supply(i2,k\_trade) \cdot \left(1 - \sum_{ct}f21\_self\_suff(ct,i2,k\_trade)\right) \$\left(\sum_{ct}f21\_self\_suff(ct,i2,k\_trade) < 1\right)\right) + \sum_{ct}f21\_trade\_balanceflow(ct,k\_trade) \end{multline*}\]

Distributing the global excess demand to exporting regions is based on regional export shares (Schmitz et al. 2012). Export shares are derived from FAO data (see Schmitz et al. (2012) for details). They are 0 for importing regions.

\[\begin{multline*} v21\_excess\_prod(i2,k\_trade) = v21\_excess\_dem(k\_trade) \cdot \sum_{ct}f21\_exp\_shr(ct,i2,k\_trade) \end{multline*}\]

\[\begin{multline*} v21\_cost\_trade\_reg(i2,k\_trade) \geq \left(i21\_trade\_margin(i2,k\_trade) + i21\_trade\_tariff(i2,k\_trade)\right) \cdot \left(vm\_prod\_reg(i2,k\_trade)-vm\_supply(i2,k\_trade)\right) \end{multline*}\]

\[\begin{multline*} vm\_cost\_trade(i2) = \sum_{k\_trade}v21\_cost\_trade\_reg(i2,k\_trade) \end{multline*}\]

Limitations This realization depends on predetermined self-sufficiency rates and export shares, which leads to a relative fixed trade pattern.

Definitions

Objects

module-internal objects (A: exo | B: free_apr16 | C: off | D: selfsuff_reduced)
  Description Unit A B C D
f21_exp_shr
(t_all, i, kall)
Regional and crop-specific export share \(1\) x
f21_self_suff
(t_all, i, kall)
Regional self-sufficiency rates \(1\) x x
f21_trade_bal_reduction
(t_all, trade_groups21, trade_regime21)
Share of inelastic trade pool \(1\) x
f21_trade_balance
(t_all, i, kall)
trade balance of positive exports and negative imports \(10^6 tDM/yr\) x
f21_trade_balanceflow
(t_all, kall)
Domestic balance flows \(10^6 tDM/yr\) x
f21_trade_margin
(i, kall)
Costs of freight and insurance \(USD_{05MER}/tDM\) x
f21_trade_tariff
(i, kall)
Specific duty tariffs \(USD_{05MER}/tDM\) x
i21_trade_bal_reduction
(t_all, k_trade)
Trade balance reduction \(1\) x x
i21_trade_margin
(i, k_trade)
Trade margins \(USD_{05MER}/tDM\) x x
i21_trade_tariff
(i, k_trade)
Trade tariffs \(USD_{05MER}/tDM\) x x
q21_cost_trade
(i)
Regional trade costs \(10^6 USD_{05MER}/yr\) x x
q21_cost_trade_reg
(i, k_trade)
Regional trade costs for each tradable commodity \(10^6 USD_{05MER}/yr\) x
q21_excess_dem
(k_trade)
Global excess demand \(10^6 tDM/yr\) x
q21_excess_supply
(i, k_trade)
Regional excess production \(10^6 tDM/yr\) x
q21_notrade
(i, kall)
Regional production constraint of non-tradable commodities \(10^6 tDM/yr\) x x x x
q21_trade_glo
(k_trade)
Global production constraint \(10^6 tDM/yr\) x x
q21_trade_reg
(i, k_trade)
Regional trade balances i.e. minimum self-sufficiency ratio \(1\) x
q21_trade_reg_up
(i, k_trade)
Regional trade balances i.e. maximum self-sufficiency ratio \(1\) x
s21_trade_bal_damper Fraction to ease self sufficiency pool trade for roundwood x
s21_trade_tariff Trade tariff switch (1=on 0=off) \(1\) x
v21_cost_trade_reg
(i, k_trade)
Regional trade costs for each tradable commodity \(10^6 USD_{05MER}/yr\) x
v21_excess_dem
(k_trade)
Global excess demand \(10^6 tDM/yr\) x
v21_excess_prod
(i, k_trade)
Regional excess production \(10^6 tDM/yr\) x
v21_manna_from_heaven
(i, kall)
Last resort resource for otherwise infeasble trade balance constraints \(10^6 tDM/yr\) x

Sets

sets in use
  description
ct(t) Current time period
i all economic regions
i2(i) World regions (dynamic set)
k_hardtrade21(k_trade) Products where trade should be limited
k_notrade(kall) Production activities of non-tradable commodites
k_trade(kall) Production activities of tradable commodities
kall All products in the sectoral version
kforestry(k) forestry products
t_all(t_ext) 5-year time periods
t_ext 5-year time periods
t(t_all) Simulated time periods
trade_groups21 Trade groups
trade_regime21 Trade scenarios
tstart21(t_all) Historic time steps
type GAMS variable attribute used for the output

Authors

Xiaoxi Wang, Anne Biewald, Christoph Schmitz, Markus Bonsch

See Also

11_costs, 16_demand, 17_production, 32_forestry

References

Schmitz, Christoph, Anne Biewald, Hermann Lotze-Campen, Alexander Popp, Jan Philipp Dietrich, Benjamin Leon Bodirsky, Michael Krause, and Isabelle Weindl. 2012. “Trading More Food: Implications for Land Use, Greenhouse Gas Emissions, and the Food System.” Global Environmental Change 22 (1): 189–209. https://doi.org/10.1016/j.gloenvcha.2011.09.013.