Presentation on theme: "Modelling Long-term Commodities: the Development of a Simulation Model for the South African Wine Industry within a Partial Equilibrium Framework Presenters:"— Presentation transcript:
Modelling Long-term Commodities: the Development of a Simulation Model for the South African Wine Industry within a Partial Equilibrium Framework Presenters: Michela Cutts Sanri Reynolds Other authors: Ferdi Meyer Nick Vink
From Regulated to Competing in the International Arena The dynamic, recursive partial equilibrium model built to assist the industry by answering WHAT IF questions
What If Australian warning on oversupply - Worldbeat Price and Exchange Rate Changes Climate change risks devastating South Africa's wine and fruit industries MELBOURNE (Reuters) - Australia's drought could cut the 2008 wine grape vintage by more than half.
Data Domestic data: South African Wine Industry Councils information unit, South African Wine Information and Systems (SAWIS). International Prices: Compendium of Wine Statistics Competing Crops: Abstract of Agricultural Statistics Macroeconomic variables: South African Reserve Bank and Statistics South Africa websites
Methodology Methodology developed by the Food and Agricultural Policy Research Institute (FAPRI) at the University of Missouri Adapted to suit the nature of a long-term commodity
Wine Grape Supply Block Divided into 8 production regions South Africas top 10 varietals by volume Given different slopes, trellising practices etc, vine numbers are used Grape production per varietal = vine numbers x yield
Plant vines or alternative fruits/crops based on expected real gross return vines Fruits/crops Fruit/crop sector level model Choice of varietal - based on weighted sum of expected real gross returns allows for determination of cross price elasticities with competing crops and different varietals Farmers Decision Making Process
From Grapes to Wine Juice (litres) = 0.85 x Grape production (tons) Juice Non-alc. Rebate wine Distilling wine Good wine
Wine Demand Block Domestic Demand –Estimated for rebate, distilling wine and good wine –No quality attributes considered for wine. –Per capita consumption = f(real wine price, GDP/capita) Export Demand –Disaggregated into red and white wine –Individual equations estimated for 10 country groupings –Exp dem = f(exch, lagged exports, SA price, new world wine price)
Linking Grape and Wine Price equations create the link between grapes and wine –Noble varietals price= f(lagged variety price, real wine price, and production of the variety) –Non-Noble varietals price= f(lagged variety price, real rebate and distilling wine price, and production of the variety) Wine price=f(producer wine sales, wine production, exchange rate) Rebate price = f(wine price, rebate wine production) Distillate price=f(Rebate price, distillate production)
The Closing Block For equilibrium to be reached total demand = total supply System is closed using change in stock –wine production plus wine imports, less exports and domestic consumption
A benchmark of likely trends and levels of prices, production, consumption and trade under a particular set of assumptions Does not constitute a forecast The Baseline – A Possible Outlook
Macroeconomic Assumptions Sources: Global Insight
What if… …the Rand appreciates relative to the baseline? Baseline: Rand depreciates gradually from R7.18/USD in 2007 to R10.40/USD in 2014? Scenario: What if Rand stays constant over the baseline at R7.18/USD?
Conclusion So how do you use these results? Evaluate results critically and decide whether you agree It teaches us something about the system, market structures and price formation How exogenous factors influence the business and policy environment