1 / 11

Enhancing Maize Market in Southern Africa: Spatial-Temporal Price Equilibrium Study

Investigating the impact of improving storage efficiency on maize markets in Southern Africa through a spatial-temporal price equilibrium model and welfare measures analysis.

gsteven
Download Presentation

Enhancing Maize Market in Southern Africa: Spatial-Temporal Price Equilibrium Study

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Maize Market in Southern Africa:Effects from Improving Storage Efficiency(A spatial-temporal price equilibrium approach) António Sousa Cruz Mozambique September 2006

  2. ProblemPrices rise before following harvest

  3. Objectives • To study the maize market in Malawi, Mozambique, South Africa, Tanzania, Zambia e Zimbabwe (SA6) • To analyze economic effects from improving storage efficiency, i.e., reducing real interest rates (Arndt, Schiller, e Tarp 2001) • Using a spatial-temporal price equilibrium model (Samuelson 1952; Takayama e Judge 1971) • To analyze effects from reducing storage costs, reducing transportation costs and liberalizing intra-SA6 trade

  4. Correlation Coefficients of Maize Outputamong SA6, 1987-2002

  5. Assumptions • Producer and consumers are price-takers, operating in competitive markets • Transactions costs: storage, transportation, tariffs • Each region is a separate market • Partial equilibrium • Producers and consumers are risk neutral • Perfect foresight for the entire year • Maize is a single and homogeneous product

  6. STPE Model: Objective Function

  7. Subject to restrictions:

  8. Simulations

  9. Results(Base Scenario) • South Africa-East reveals a pattern of trade of the Benirschka and Binkley (1995) type: • Storage efficient region • Intra-seasonal flatter prices • Sells maize later in the marketing season • Mozambique-Center, Mozambique-North, and Tanzania present a Timmer’s (1974) pattern of trade: • Low storage efficient regions • Intra-seasonal price hikes • Exporting maize immediately after harvest • Importing it back later in the “hungry season”

  10. Impact of Simulations on Welfare Measures,SA6 Regions (% changes)

  11. Conclusion: Maize Market • Current differences in storage costs (in particular, in real interest rates) is an important determinant of South Africa’s comparative advantage over other SA6 countries • When reducing real interest rates Mozambique-Center, South Africa-East and Tanzania increase their exports to other SA6 • Combining improvement in storage and transportation efficiency, and trade liberalization provides the best welfare results among all scenarios

More Related