Scenario Planning für die Landwirtschaft in der Metropolregion München: Warum WZ A im Schatten der Tech-Metropole überleben muss

Intro: Munich is a tech and finance hub (reference the context: ~6 Mio Einw., Top 20 Branchen dominated by IT, Fahrzeugbau, Versicherungen). Agriculture (WZ A) is absent from the top 20 ranking of SV-Beschäftigte. Yet, the metropolitan region consumes food, demands recreation, and needs climate resilience. Scenario Planning is the method to navigate this.

Die Ausgangslage: Agrar in der Metropole München

• Data: Metropolregion ~6 Mio. Einwohner.
• Top employers: BMW, Siemens, Allianz.
• Landkreis München and surrounding areas (Starnberg, Erding, Freising) still have significant arable land.
• Conflict: High land prices (driven by Bauinstallation F43, Immobilien L68) vs. agricultural use.

Framework: Scenario Planning angewandt auf WZ A

Explain Scenario Planning (link to /frameworks/). Identify critical uncertainties:

1. Regulatory pressure (EU Green Deal, Bavarian Water Laws)
2. Land use competition (housing vs. farming)
3. Consumer demand (local vs. global)

Vier Szenarien für die Münchner Agrarwirtschaft 2035

1. Das “Grüne Kraftfeld” (High Tech & Regulative) – Vertical Farming, precision agriculture serving the wealthy Munich market.
2. Die “Speckgürtel-Reserve” (Low Tech & Suburban Sprawl) – Agriculture pushed to fringes, large estates bought by non-farmers.
3. Die “Resilienz-Bastion” (Crisis & Local Focus) – Supply chain shocks make local agriculture a strategic asset.
4. Die “Industrie-Monokultur” (Global & Efficiency) – Traditional farming consolidates, focuses on bio-energy or bulk goods.

Regionale Tiefe: Standortfaktoren und Arbeitgeberstruktur

• Compare to Osnabrück or Ostfriesland (from context F43 report, though those are construction, I can mention rural regions like Lower Bavaria or Osnabrück where Agrar is a top employer, contrasting with Munich).
• Munich’s specific challenge: Wage levels (IT ~45k SV-Beschäftigte, high purchasing power) make agricultural labor expensive.
• Real estate: Immobilienwesen (L68) and Baugewerbe (F) drive land prices up.

Strategische Handlungsempfehlungen für Entscheider

1. Diversification into high-margin niche (e.g., premium organic for Munich’s restaurant scene - Gastronomie I56 has ~35k SV-Beschäftigte).
2. Partnerships with Forschung (P85 Hochschulen ~30k MA, TUM, LMU) for AgriTech.
3. Scenario-based capital allocation.

Fazit & Link

Link to /blog/ for more industry reports.