#### Summary

In this Learning Path we introduce three new parameters to our possibilities: we will add a time frame and see how this shapes our choices, we will introduce the ability to produce more than one good or service, and we will also take a first look at prices, production costs and competition as a whole market dynamic.#### Short term analysis:

#### Long term analysis:

- Long run production
**Returns to scale**

#### Very long term analysis:

#### Multi-production:

The law of returns to scale explains how output behaves in response to a proportional and simultaneous variation of inputs. Increasing all inputs by equal proportions and at the same time, will increase the scale of *production*. Returns to scale differ from one case to another because of the technology used or the *goods* being produce. Therefore, it is closely related to *economies of scale* happening within the business’ production process.

The relation by which output increases compared to the increase in inputs is the return to scale. We can measure the *elasticity* of these returns to scale in the following way:

That is, the sum of the partial derivatives of production with regards to each factors multiplied by the proportion each input makes up of the whole.

Depending in the proportion by which output increases compared to inputs, there are three different kinds of returns to scale:

-Increasing returns to scale (µ>1): when total output increases more than proportionately (green);

-Constant returns to scale (µ=1): when total output increases proportionately (blue);

-Decreasing returns to scale (µ<1): when total output increases less than proportionately (red).

When dealing with Cobb-Douglas functions, we can also determine which returns of scale are present, since α+β=µ.