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import matplotlib.pyplot as plt import numpy as np # Creating the graph for Positive Externalities # Private Benefit (PB) and Social Benefit (SB) curves # Quantity range quantity = np.linspace(0, 10, 100) # Private benefit curve (linear for simplicity) private_benefit = quantity # Social benefit curve (linear and above the private benefit) social_benefit = quantity + 3 # Plotting the curves plt.figure(figsize=(10, 6)) plt.plot(quantity, private_benefit, label='Private Benefit', color='blue') plt.plot(quantity, social_benefit, label='Social Benefit', color='green', linestyle='--') # Shaded area representing the positive externalities plt.fill_between(quantity, private_benefit, social_benefit, color='green', alpha=0.2) # Labels and title plt.title('Positive Externalities in Infant and Child Health Services') plt.xlabel('Quantity of Health Services') plt.ylabel('Benefit') plt.legend() # Display the graph plt.grid(True) plt.show()
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