Pareto optimality is an economic condition in which resources cannot be reallocated to make one person better without making at least one person worse. It implies that resources are distributed in the most efficient way, but does not imply equality or fairness.
Founder
Optimality is named after Vilfredo Pareto (1848-1923), an Italian engineer and economist who used this concept in his studies of economic efficiency and income distribution. Pareto efficiency has been applied in academic fields such as economics, engineering and life sciences.
Overview of the Pareto concept
There are two main questions of Pareto optimality. The first concerns the conditions under which the distribution associated with any competitive market equilibrium is optimal. The second refers to the conditions under which any optimal distribution can be achieved as a competitive marketequilibrium after the use of lump-sum we alth transfers. The answer to these questions depends on the context. For example, if a change in economic policy removes a monopoly and that market subsequently becomes uncompetitive, the benefits to others can be significant. However, since the monopolist is disadvantaged, this is not a Pareto improvement.
In the economy
The economy is in a Pareto optimal state when no further changes in it can make one person richer without making another person poorer. This is a socially optimal result achieved in a perfectly competitive market. The economy will be efficient under the condition of full competitiveness and static general equilibrium. When the price system is in equilibrium, the marginal revenue product, the opportunity cost, and the cost of the resource or asset are equal. Each unit of goods and services is used most productively and in the best possible way. No transfer of resources can lead to increased returns or satisfaction.
In production
Pareto optimality in production occurs when available factors are distributed among products in such a way as to increase the output of one product without reducing the output of another. This is analogous to technical efficiency at the firm level.
There are many situations in which it is possible to increase the total output of an economy through simple redistributionperformance factors at no additional cost. For example, if the agricultural sector employs a lot of unproductive, low-paid labor, and the industrial sector, where labor productivity is potentially high, is experiencing a shortage of labor, then factory owners will raise the price of labor and attract labor from the agricultural sector to the industrial one.
Production efficiency occurs when the combination of actually produced products is such that there is no alternative combination of products that would increase the welfare of one consumer without reducing the welfare of another.
Pareto in practice
Besides application in economics, the concept of Pareto improvement can be used in many scientific fields where trade-offs are modeled and studied to determine the amount and type of reallocation of variable resources needed to achieve efficiency. For example, plant managers can conduct trials in which they reallocate labor to try to increase the productivity of assembly workers, not to mention decrease the productivity of packing and shipping workers.
A simple example of Pareto optimality: there are two people, one with a loaf, the other with a piece of cheese. Both can be made better by exchanging products. An efficient exchange system would allow bread and cheese to be exchanged until neither side is better off without getting worseother.
Game theory
Pareto optimality answers a very specific question: "Can one outcome be better than another?" The optimal outcome of the game cannot be improved without harming at least one player. To illustrate this, we can take a game called "Deer Hunt" in which two people participate. Everyone can individually choose to hunt deer or hare. In this case, the player must choose an action without knowing the choice of another. If a man hunts deer, he must cooperate with his partner in order to succeed. A person can get a hare on his own, but it costs less than a deer. Thus, there is one outcome in the game that is Pareto optimal. It lies in the fact that both players hunt deer. With this outcome, they receive three wins, which is the largest possible prize for each player.
Pareto rule
The 80/20 Pareto principle states that for many events approximately 80% of the consequences come from 20% of the causes. Vilfredo Pareto noted this connection at the University of Lausanne in 1896, publishing it in his first work Cours d'economie politique. In essence, he showed that approximately 80% of the land in Italy is owned by 20% of the population. Mathematically, the 80/20 rule is followed by a power law distribution (also known as a Pareto distribution) for a certain set of parameters. It has been experimentally shown that many natural phenomena demonstrate suchdistribution. The principle is only indirectly related to Pareto optimality. He developed both concepts in the context of the distribution of income and we alth among the population.
Equilibrium theory
Pareto optimality leads to the maximization of total economic welfare for income distribution and a certain set of consumer preferences. A shift in income distribution changes the income of individual consumers. As their incomes change, so do their preferences, as the demand curves for various products shift to the left or right. This will lead to a new equilibrium point in the various markets that make up the economy. Thus, since there are an infinite number of different ways of distributing income, there are also an infinite number of different optimal Pareto equilibria.
Conclusions
Obviously, in practice, no economy can be expected to achieve an optimal position. In addition, the Pareto principle is hardly used as a policy tool, since it is rarely possible to develop one that makes someone better without making someone worse. Nevertheless, it is an important concept in the neoclassical tradition of economics and unifies much of the theory. It is also the standard by which economists can examine the real world, where making one person better almost always means making someone else worse.
