Basic Economic Concepts & Principles: Scarcity, Choice, Costs, Markets & Elasticity

TAKEAWAYS:

• Scarcity and choice force individuals, businesses, and governments to prioritize limited resources (e.g., Nepal’s limited hotel rooms vs. rising tourist arrivals).
• Opportunity cost explains why tourism investments (e.g., building a new resort) require sacrificing alternative uses of the same resources (e.g., agricultural land).
• Market equilibrium determines prices and quantities in tourism services (e.g., hotel room rates in Pokhara during peak season).
• Elasticity measures how sensitive tourism demand is to price changes (e.g., a 10% price cut in Kathmandu flights may increase demand by 20%).
• PPF (Production Possibility Frontier) shows trade-offs between tourism and other sectors (e.g., Nepal can produce more tourism or more agriculture, but not both at once).
• Government intervention (e.g., subsidies for eco-tourism or taxes on luxury hotels) can shift supply/demand curves, affecting tourism outcomes.

1. Scarcity, Choice, and Opportunity Cost

1.1 Scarcity in Tourism

Tourism resources—hotels, guides, cultural heritage sites, and natural landscapes—are limited but desired by unlimited tourists. This mismatch creates scarcity, forcing choices:

• Example: Nepal has only 1,000+ licensed trekking guides (as of 2023), but 500,000+ trekkers arrive annually. Scarcity leads to:
  • Higher guide fees during peak seasons (e.g., Everest Base Camp season: October–November).
  • Longer wait times for permits (e.g., Annapurna Conservation Area Permit sells out weeks in advance).
  • Competition among tour operators (e.g., Pathao Tours vs. Seven Summits Trekking).

flowchart TD
    A["Unlimited Tourist Demand"] -->|"Limited Resources"| B["Scarcity"]
    B --> C["Choice Must Be Made"]
    C --> D["Opportunity Cost"]
    D --> E["Trade-offs: e.g., More Hotels vs. More Parks"]

1.2 Opportunity Cost in Tourism Decisions

Every decision in tourism involves giving up the next best alternative. For example:

• For a hotel owner:
  • Building a 5-star hotel (cost: NPR 200M) means not expanding a budget guesthouse (which could earn NPR 50M/year).
  • Opportunity cost = NPR 50M/year (foregone profit from the guesthouse).
• For the Nepal government:
  • Spending NPR 10B on the Buddha Airport means not spending it on road infrastructure (which could have generated NPR 8B/year in tourism revenue).
  • Opportunity cost = NPR 8B/year.

Worked Example: Kathmandu’s Traffic Congestion

• Scenario: The government spends NPR 5B to build a ring road to reduce traffic jams (which cost tourists 2+ hours/day in delays).
• Alternative: Use the same NPR 5B to expand Tribhuvan International Airport (adding 2 more runways).
• Opportunity Cost:
  • Ring road: Reduces tourist frustration but does not increase airport capacity.
  • Airport expansion: Could handle 500,000 more international tourists/year (current arrivals: ~1.2M).
  • Trade-off: Which brings more economic benefit to Nepal?

2. Production Possibility Frontier (PPF) and Trade-offs

The PPF shows the maximum possible production of two goods/services given limited resources. In tourism, it illustrates trade-offs between:

• Tourism goods (e.g., hotels, trekking routes) vs.
• Other goods (e.g., agriculture, infrastructure).

2.1 PPF for Nepal’s Tourism Sector

Assume Nepal can produce:

• X-axis: Agricultural output (e.g., rice, in "tons").
• Y-axis: Tourism revenue (e.g., in NPR billion).

• Point A: Maximum agriculture (10M tons rice), 0 tourism revenue.
• Point B: Maximum tourism (NPR 500B revenue), 5M tons rice.
• Point C: Balanced output (7M tons rice + NPR 300B tourism).

Why is PPF concave (bowed outward)?

• Diminishing returns: As Nepal shifts more resources to tourism (e.g., converting farmland to hotels), each additional unit of tourism requires more sacrifices in agriculture.
• Example: Converting the Chitwan Valley (currently a UNESCO site) into a luxury resort would generate high tourism revenue but destroy wildlife habitats (reducing agricultural and ecological benefits).

2.2 Shifts in PPF

PPF shifts occur due to:

Worked Example: Nepal’s PPF Shift Post-COVID

• Before COVID (2019): PPF allowed 1.2M international tourists + NPR 400B revenue.
• After COVID (2020): PPF shrunk due to:
  • Lockdowns: Hotels closed, trekking routes banned.
  • Visitor drop: Only 200,000 tourists arrived (down from 1.2M).
• Recovery (2023): PPF shifted outward due to:
  • Vaccine passports (e.g., Nepal’s "Tourist Visa on Arrival").
  • Digital marketing (e.g., Daraz and Facebook ads by tour operators).

3. Demand and Supply in Tourism Markets

3.1 Law of Demand

• Definition: As price rises, quantity demanded falls (and vice versa), ceteris paribus (all else equal).
• Tourism Example:
  • Hotel prices in Pokhara:
    • Low season (Jan–Feb): NPR 2,000/night → High demand (backpackers).
    • Peak season (Oct–Nov): NPR 10,000/night → Lower demand (fewer budget travelers).

• Shift vs. Movement:
  • Movement along demand curve: Price change (e.g., hotel raises rates).
  • Shift of demand curve: Non-price factors change (e.g., new trekking route opens → demand increases at all prices).

3.2 Factors Shifting Tourism Demand

Worked Example: Daraz’s Demand for Hotel Bookings

• Scenario: Daraz introduces a "Staycation Package" (NPR 5,000 for 2 nights in Pokhara).
• Effect:
  • Demand curve shifts right (more people book at all price levels).
  • Supply curve may shift left (hotels raise prices due to higher demand).
  • Result: Equilibrium price increases, quantity increases.

3.3 Law of Supply

• Definition: As price rises, quantity supplied rises (and vice versa).
• Tourism Example:
  • Trekking guide supply:
    • Low season (Dec): Guides earn NPR 5,000/day → Fewer guides available.
    • Peak season (Apr): Guides earn NPR 15,000/day → More guides enter the market.

• Shift vs. Movement:
  • Movement along supply curve: Price change (e.g., higher wages → more guides).
  • Shift of supply curve: Non-price factors (e.g., government licenses for guides).

3.4 Market Equilibrium in Tourism

• Equilibrium: Where demand = supply → stable price and quantity.
• Example: Kathmandu flight tickets (Nepal Airlines).
  • Demand: Business travelers + tourists.
  • Supply: Limited seats (e.g., 100 seats/flight).
  • Equilibrium price: NPR 15,000/seat (where demand = supply).

• Surplus: If price > equilibrium (e.g., NPR 20,000) → excess supply (empty seats).
• Shortage: If price < equilibrium (e.g., NPR 10,000) → excess demand (long queues).

Worked Example: NTC’s Bus Demand in Pokhara

• Scenario: NTC increases bus fares from NPR 200 to NPR 300 (Kathmandu–Pokhara).
• Effect:
  • Demand decreases (some tourists switch to flights).
  • Supply may decrease (drivers demand higher wages).
  • New equilibrium: Lower quantity (fewer passengers), higher price.

4. Elasticity in Tourism

Elasticity measures sensitivity to price changes. Critical for tourism pricing strategies.

4.1 Price Elasticity of Demand (PED)

• Formula: $$PED=\frac{\%\text{ Change in Quantity Demanded}}{\%\text{ Change in Price}}$$
• Interpretation:
  • |PED| > 1: Elastic (demand very sensitive to price).
  • |PED| < 1: Inelastic (demand insensitive to price).
  • |PED| = 1: Unitary elastic.

Tourism Examples:

Worked Example: eSewa’s Price Elasticity for Tourist Visa

• Scenario: eSewa increases tourist visa fee from NPR 2,500 to NPR 3,000.
• Calculation:
  • % Change in Price = (3000–2500)/2500 × 100 = +20%.
  • % Change in Demand = (New applicants – Old applicants)/Old applicants × 100.
    • Suppose demand drops from 5,000 to 4,500 visas/month.
    • % Change in Demand = (4500–5000)/5000 × 100 = -10%.
  • PED = |–10% / 20%| = 0.5 (Inelastic).
• Implication: eSewa can increase prices without losing many customers.

4.2 Income Elasticity of Demand (YED)

• Formula: $$YED=\frac{\%\text{ Change in Demand}}{\%\text{ Change in Income}}$$
• Interpretation:
  • YED > 0: Normal good (demand rises with income).
  • YED < 0: Inferior good (demand falls with income).
  • YED > 1: Luxury good (demand rises more than proportionally with income).

Tourism Examples:

Worked Example: Remittance Growth and Tourism Spending

• Scenario: Nepali remittances grow by 10% (from NPR 1.2T to NPR 1.32T).
• Effect on Tourism Demand:
  • Domestic tourism: Nepalis spend more on hotels, flights, and trekking.
  • Outbound tourism: More Nepalis travel to India, Thailand, and Dubai.
• YED Calculation:
  • Suppose domestic tourism spending rises by 8% (from NPR 80B to NPR 86.4B).
  • YED = 8% / 10% = 0.8 (Normal good).

5. Government Intervention in Tourism Markets

Governments use taxes, subsidies, and regulations to correct market failures or achieve social goals.

5.1 Taxes on Tourism

• Purpose: Reduce demand for negative externalities (e.g., over-tourism, pollution).
• Example:
  • Nepal’s "Tourist Service Tax" (10%) on hotels.
  • Everest Base Camp Cleanup Fee (USD 4,000) to reduce litter.

Effect on Market:

• Result: Higher prices → Lower demand (fewer tourists to Everest).

5.2 Subsidies for Tourism

• Purpose: Encourage desirable tourism (e.g., eco-tourism, rural tourism).
• Example:
  • Nepal’s "Community Homestay Subsidy" (up to NPR 50,000 per homestay).
  • Flight subsidies for domestic tourists (e.g., Yeti Airlines promotions).

Effect on Market:

• Result: Lower prices → Higher demand (more rural tourism).

5.3 Price Controls

• Price Ceiling: Max price (e.g., rent control in Kathmandu).
  • Effect: Shortage of affordable hotels.
• Price Floor: Min price (e.g., guide wages set by government).
  • Effect: Surplus of guides (unemployment if demand is low).

Worked Example: NEPSE’s Stock Prices for Tourism Companies

• Scenario: Nepal Airlines stock price drops due to low profitability.
• Government Intervention:
  • Subsidy: Government provides NPR 2B to keep flights affordable.
  • Effect: Supply curve shifts right → More flights → Higher stock price.

## In the Real World

1. eSewa and Khalti: Price Elasticity of Digital Payments

   • Idea Used: Income Elasticity (YED) and Substitution Effect.
   • How?:
     • As Nepalis’ incomes rise, they use eSewa/Khalti more for tourism bookings (hotels, flights, trekking permits).
     • YED > 1: Wealthier users spend more on digital payments for luxury tourism (e.g., private jeep tours).
     • Substitution: Tourists switch from cash to eSewa because it’s faster (e.g., Nepal’s "Tourist Visa on Arrival" now accepts digital payments).

2. Daraz and Pathao: Dynamic Pricing in Tourism

   • Idea Used: Price Elasticity of Demand (PED) and Supply Shifts.
   • How?:
     • Daraz uses algorithm-based pricing for hotel bookings:
       • Peak season (Oct–Nov): Prices increase by 30–50% (inelastic demand for Everest treks).
       • Low season (Jan–Feb): Discounts up to 40% (elastic demand for budget travelers).
     • Pathao applies surge pricing for ride-hailing:
       • During Dashain, prices double (supply of drivers is limited).

3. NTC and Ncell: Government Intervention in Transport

   • Idea Used: Taxes, Subsidies, and Price Controls.
   • How?:
     • NTC’s bus fares: Government subsidizes rural routes (e.g., Pokhara–Chitwan) to encourage tourism.
     • Ncell’s data plans: Offers discounted data for tourists (e.g., "Tourist SIM" with unlimited calls).
     • Everest Cleanup Fee: Acts as a tax to reduce over-tourism and pollution.

## Exam Tip

1. Define Clearly:

   • Always start with precise definitions (e.g., "PED measures the responsiveness of quantity demanded to a change in price, ceteris paribus").
   • Example: For a question on PPF, define it as:

     "The PPF is a curve showing the maximum feasible combinations of two goods that an economy can produce with its existing resources and technology."

2. Use Diagrams:

   • Every numerical question (e.g., "If price rises by 10%, demand falls by 5%") must have a labeled demand/supply curve.
   • Example: For a tax question, draw:
     • Original equilibrium.
     • Shifted supply curve (after tax).
     • New equilibrium with higher price, lower quantity.

3. Real-World Applications:

   • Link theory to Nepal’s tourism:
     • Scarcity → Limited trekking permits.
     • Elasticity → Daraz’s dynamic pricing.
     • Government policy → NTC subsidies for rural tourism.
   • Example Answer Starter:

     "In Nepal, the demand for Annapurna trekking permits is inelastic because trekkers have few substitutes. A 20% price increase in 2023 led to only a 5% drop in permits sold, as the route’s uniqueness makes it essential for adventure tourists."

4. Common Mistakes to Avoid:

   • Confusing shifts vs. movements:
     • ❌ "Demand increases when price rises." → Wrong (this is a movement).
     • ✅ "Demand increases when tourist income rises." → Correct (this is a shift).
   • Ignoring ceteris paribus:
     • Always state "all else equal" when discussing demand/supply changes.
   • Misinterpreting elasticity:
     • ❌ "Luxury hotels have inelastic demand." → Wrong (they have elastic demand because of many substitutes).
     • ✅ "Budget guesthouses have inelastic demand." → Correct (few substitutes).

5. Numerical Questions:

   • Always show calculations:
     • For PED: Use the midpoint formula (avoids ambiguity). $$PED=\frac{(Q2-Q1)/(Q2+Q1)}{(P2-P1)/(P2+P1)}$$
     • For PPF: Calculate opportunity cost per unit.
       • Example: "If Nepal gives up 2 tons of rice to build 1 hotel, the opportunity cost is 2 tons of rice per hotel."

6. Short-Answer Tips:

   • Bullet points work for definitions:
     • Elasticity:
       • Elastic: |PED| > 1 → Demand very sensitive.
       • Inelastic: |PED| < 1 → Demand insensitive.
       • Unitary: |PED| = 1 → % change in Q = % change in P.
   • Use Nepal examples:
     • "Nepal’s trekking industry faces scarcity because only 1,000 licensed guides can operate annually, leading to high opportunity costs for unlicensed guides."

mindmap
  root((Basic Economic Concepts in Tourism))
    Scarcity
      Definition: Limited resources vs. unlimited wants
      Nepal Example: 1,000 guides for 500,000 trekkers
    Opportunity Cost
      Definition: Next best alternative forgone
      Example: Building a hotel vs. a school
    PPF
      Definition: Max production combinations
      Nepal: Agriculture vs. Tourism trade-offs
      Shifts: Tech, disasters, policy
    Demand
      Law: Price ↑, Quantity ↓
      Shifters: Income, preferences, substitutes
      Nepal: Dashain → Hotel demand ↑
    Supply
      Law: Price ↑, Quantity ↑
      Shifters: Costs, tech, taxes
      Nepal: Guide wages ↑ → Supply ↓
    Elasticity
      PED: Price sensitivity
        Example: Luxury hotels (elastic) vs. permits (inelastic)
      YED: Income sensitivity
        Example: Remittances → More outbound tourism
    Government Intervention
      Taxes: Reduce demand (e.g., Everest cleanup fee)
      Subsidies: Increase supply (e.g., homestay grants)
      Price controls: Ceilings/floors (e.g., NTC fares)