Tax Systems for Sustainable Economic Development

Abstract

A complete description of taxation systems that ensure sustainable economic development is given. These tax systems depend on production technologies and output volumes. Explicit formulas for such dependencies are found. In a sustainable economy, the value added either exceeds or is strictly less than the value of the product produced. The latter is determined by the tax system. The concept of perfect taxation systems is introduced and their explicit form is found. For perfect taxation systems, it is proved that the vector of output should belong to the interior of the cone formed by the vectors of the columns of the total cost matrix. It is shown that under perfect taxation systems the vector of gross output must satisfy a certain system of linear homogeneous equations. It is shown that under certain conditions, there are tax systems under which certain industries require subsidies for their existence. Under such taxation systems, the industries that require subsidies are identified. The family of all non negative solutions of the system of linear equations and inequalities is constructed, which allowed us to formulate a criterion for describing all equilibrium states in which partial clearing of markets occurs.

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Gonchar, N. (2025) Tax Systems for Sustainable Economic Development. Journal of Mathematical Finance, 15, 1-34. doi: 10.4236/jmf.2025.151001.

1. Introduction

This work is original both in terms of the problem statement and the obtained results. Statement of the problem to describe all taxation systems that ensure sustainable development was formulated in a general form in works (see [1]-[4]). It was partially solved in works [4]), [3]. In this work, it is solved completely for the “input - output” production model.

The considered problem is significantly different from the existing one in the literature (see, for example, [5] [6]). There, the influence of the taxation system on the economic equilibrium is studied. Moreover, production technologies are described by the Cobb-Douglas model.

All obtained results are original and obtained by the author for the first time. For the first time, it was possible to establish the dependence of the taxation system on production technologies and production volumes. It has been proven that there are no other taxation systems that ensure sustainable development. Among all taxation systems, there are those that are called perfect because they are equitable to producers.

Sustainable development is defined as the production of goods and services that leads to the complete clearing of markets in a given period of economic functioning under the influence of the market mechanism of pricing goods and services. The market mechanism for establishing the prices of goods and services is understood as the equilibrium of supply and demand for resources and produced goods in the production process, taking into account the tax system. For taxation systems that ensure sustainable economic development, the nonlinear system of equations with respect to the equilibrium price vector is transformed into a linear system of equations with a strictly positive solution, which always exists under minor assumptions from the economic point of view.

The main problem of the work was to find out whether such a market mechanism exists for the main production models. The study of this problem was started in the papers [1]-[4]. From a mathematical point of view, this is a question of whether there is an equilibrium price vector and taxation system under which there is equality of supply and demand, determined by the structure of production technologies, production volumes and demand for goods and services produced in the production process by consumers. This is the main problem solved in the first part of this paper. It describes all taxation systems that ensure sustainable economic development in the input-output production model.

For such taxation systems, an equilibrium price vector is constructed at which demand equals supply. This equilibrium vector depends on a taxation system that ensures sustainable development. The existence of such an equilibrium price vector is a confirmation of the fact that a market mechanism for pricing goods and services exists, which is important from an economic point of view.

Each country has its own tax system. For example, the US tax system has a three-tiered nature. Taxation operates at the federal, state, and local levels. Taxes are levied on income, wages, sales, property, dividends, imports, etc., as well as various fees. Each level has its own authority to collect taxes. The federal government has no right to interfere with the state’s taxation system. Each state has its own tax system, which differs from the tax systems of other states. Personal income tax in the structure of tax revenues to the US budget is more than 50%. Since 2018, a fixed rate of corporate income tax has been set at the level of 21%. There is no federal consumption tax in the US, but most states and some municipalities have sales and use taxes, and so on.

The French tax system consists of indirect taxes, direct taxes and stamp duties. The main ones are value added tax, personal income tax, corporate income tax, excise taxes, property tax, securities income tax, etc. The entire economy is divided into industries that aggregate into so-called clean industries. The gross added value created in the economy is the sum of the gross added values of the industries. The taxation system defined in the work is part of the created gross added value of the industry, which should be taxed and directed to the benefit of the entire society in order to guarantee safety in society, health care, education, public administration, and so on. If the amount of taxes collected in accordance with the legislation in each industry coincides with a part of the created gross added value and this part coincides with the formulas built in the work for a perfect taxation system, then we say that the economic system is in a state of sustainable economic development.

The taxation system is called equitable relative to producers if the added value created in each industry is equal to the value of the produced goods in this industry. Are there equitable systems of taxation under which sustainable development takes place?

Among the constructed taxation systems that ensure sustainable development are the taxation systems we call perfect. These are such taxation systems under which, in a state of economic equilibrium in each industry, the created added value is equal to the value of the final product created in the same industry.

If the taxation system ensures sustainable development but does not coincide with a perfect taxation system, then in this case, some industries are in a privileged position in relation to taxation and the rest of the industries are subject to tax discrimination.

Under a perfect taxation system, the equilibrium price vector is the solution of a certain linear system of equations, which can be represented in such a way that we find the value of the added value created. This amount of created added value depends on production technologies, output volumes, and the equilibrium price itself. The process of pricing in a real economic system takes place under the influence of market forces of supply and demand. Added value is defined as such that it will provide a certain level of net profit after tax in accordance with the law. The formula found for the added value created is accurate. Can it be applied in practice? Theoretically, yes, but in the real economic system, 109 different types of goods are produced. The number of production technologies is of the same order. In order to calculate the equilibrium price at which sustainable development takes place, super-powerful computers are needed. That is impossible at this stage of the development of computer technology. This does not mean that such problems cannot be solved within certain limits of accuracy.

We describe taxation systems under which the economic system is able to function in a mode with subsidies. That is, there exists a market pricing mechanism in which there is a strictly positive equilibrium price vector such that under this taxation system, certain industries require subsidies to exist.

Theorem 9 clearly states the conditions under which a perfect taxation system will be such that certain industries will require subsidies. To determine these industries, a certain system of linear inequalities should be solved. In reality, this can happen when the production of goods requires imported resources. The need for the production of such goods is urgent for society.

In real economic systems, the taxation system may not coincide with the taxation system that ensures sustainable development. In this case, there is no complete clearing of the markets for an equilibrium price vector. The second part of the work is devoted to the description of all equilibrium states, i.e., those states in which only a partial clearing of the markets takes place. Such states of equilibrium describe the possible overproduction of goods and services in the economic system.

The work gives a complete description of the equilibrium states under which only partial clearing of the markets takes place. To do this, the problem of a complete description of non negative solutions of a linear system of equations and inequalities is first solved.

Then, the Theorem on the necessary and sufficient conditions that each solution of a linear system of equations and inequalities corresponds to an equilibrium price vector is established. The method of constructing such an equilibrium state under which overproduction in the economic system will be the smallest is indicated.

It reduces to constructing a solution to a linear system of equations and inequalities, which is a solution to a certain problem of quadratic programming.

Clarifying the conditions of sustainable development of the economy is extremely important to avoid undesirable development scenarios. The definition of what we mean by sustainable development at the micro-economic level is presented in a number of works [1]-[4]. At the macroeconomic level, this problem was formulated in the articles [7]-[10]. In Definition 1, we determine the tax systems that ensure sustainable development under an equilibrium price vector determined by the equality of supply and demand for production resources and produced goods.

Theorem 1 is an auxiliary statement that provides sufficient conditions for the existence of a solution with respect to the price vector and which has proved to be extremely important from the point of view of the concept of sustainable economic development.

Theorem 2 provides the necessary and sufficient conditions under which a tax system ensures sustainable development of the economy. In fact, it provides a description of tax systems under which sustainable economic development takes place.

Theorem 3 formulates necessary and sufficient conditions for taxation systems under which sustainable development of the economy takes place. It states that there are no taxation systems other than those described that ensure sustainable economic development.

Theorem 4 establishes the conditions for the gross output vector under which the economic system is able to function in the mode of sustainable development.

Theorem 5 states that under the taxation system given by the formula (12), the set of all industries is divided into two non-intersecting sets in which the added value either does not exceed the value of the product produced or strictly exceeds it.

In Definition 3, we determine the industries of the economic system that require subsidies under a competitive equilibrium price vector.

Theorem 6 gives sufficient conditions for tax systems under which certain industries require subsidies.

Theorem 7 establishes the existence of perfect tax systems.

Theorem 8 gives sufficient conditions under which, with a perfect taxation system, the economic system is able to function in the mode of sustainable development.

More specifically, provided that the vector of outputs is a solution of the system of equations in the “input-output” production model with a positive right-hand side, there is always a perfect tax system given by an explicit formula under which the economic system is able to function in the mode of sustainable development. Moreover, the gross value added generated in each industry is strictly positive. It is shown that in the mode of sustainable development under the established taxation system, the gross value added created is equal to the value of the product created in this industry.

In real economic systems, not all branches of production have a strictly positive gross added value. There may be several reasons for this: obsolete production technologies, significant imports of consumer goods, raw materials, etc.

Not all tax systems ensure the sustainable development of the economy. The equilibrium price vector generated by the tax system and production technologies and the demand for resources may lead to the negative value added in certain industries.

Theorem 9 establishes the existence of an equilibrium price vector in this case and gives expressions for the amount of subsidies in those industries in which values added created are negative.

As a result of the study of the conditions of sustainable development of the economy it was established that the taxation system in the mode of sustainable development depends on production technologies and volumes of outputs. It is the correct choice of the tax system that will create a competitive equilibrium price vector that will ensure sustainable development.

In real economic systems, taxation consists of direct taxes on production and indirect taxes on consumers, which also affect production. As a result, the final taxation may, as a rule, differ from the taxation of the mode sustainable development in which markets are completely cleared.

Due to the taxation that has developed in the real economic system, there will be a partial clearing of the markets and therefore a part of the produced goods will not find their consumers.

Section 3 examines exactly this case. Theorem 10 describes all non negative solutions of the system of linear equations and inequalities, which is important for describing all equilibrium states with excess supply.

Proposition 1 proves that the minimum distance to the vector of the right hand side of the linear system of equations and inequalities is reached on the set of all non-negative solutions of the linear system of equations and inequalities. This minimum is global. The latter allows to find this minimum by solving some quadratic programming problem.

Theorems 11 and 12 give a sufficient condition for the existence of a solution of the system of equations with respect to the price vector, provided that the right-hand side of this system of equations belongs to the cone formed by the column vectors of the non-negative matrix.

Based on theorems 11 and 12, definition 5 is given, in which each non-negative solution of the linear system of equations and inequalities corresponds to an equilibrium price vector. Theorem 13 is the basis for the description of all equilibrium states in which partial clearing of the markets takes place.

Theorem 14 gives the necessary and sufficient conditions for the existence of an equilibrium price vector under which partial clearing of the markets takes place. Namely, every non-negative solution of the system of linear inequalities and equations corresponds to the equilibrium price vector.

Definition 6 describes the equilibrium state that has the least excess supply. To find it, one should solve a certain problem of quadratic programming to find the solution of a linear system of equations and inequalities, and based on this solution, construct the real consumption vector, then find the equilibrium price vector and calculate the level of excess supply.

2. Description of Taxation Systems

In this section, we describe taxation systems in the economic model described by “input - output” production technologies. In the model of economy, described by “input - output” technology, the matrix A= a ki k,i=1 n is supposed a non negative, productive and indecomposable one. Further, we assume that the output vector x= { x k } k=1 n satisfies the system of equations

x k = i=1 n a ki x i + c k + e k i k ,k= 1,n ¯ , (1)

where c= { c k } k=1 n , e= { e k } k=1 n , i= { i k } k=1 n are the vectors of internal consumption, export and import, correspondingly. We also assume that equilibrium price vector p= { p k } k=1 n satisfies the set of equations

p k = i=1 n a sk p s + δ k ,k= 1,n ¯ . (2)

Under these conditions, the solutions of the set of Equations (1) and (2) always exist. The non negative vector δ= { δ k } k=1 n we call the vector of added values. In the market economy, the values of added values δ k ,k= 1,n ¯ , are unknown.

Prices for goods and services are formed under the influence of market forces of supply and demand. This is the essence of the market economy. The pricing system is also affected by the taxation system. How do the created added values depend on the type of taxation system?

Is there a principle of formation of prices for goods and services that takes into account the taxation system and market pricing mechanisms?

The basis of this principle is formulated below.

1) In each period of the economy functioning, there are resources to ensure production with given technologies.

2) Aggregate demand for resources and produced goods, which is determined by production technologies, must be equal to the aggregate supply of resources and produced goods.

We call these two principles the principles of sustainable economic development.

Mathematically, they were formulated in papers [1]-[4]. This formulation became possible thanks to a new approach to the description of the economic systems presented in the monograph [11]

We summarize it in the following Definition 1 (see also [1]-[4]).

Definition 1. The economic system functions in the mode of sustainable development under the taxation system π= { π i } i=1 n , 0< π k <1 , k= 1,n ¯ , if there exists a strictly positive solution relative to the vector p 0 = { p i 0 } i=1 n of the system of equations

i=1 n a ki ( 1 π i ) x i p i 0 s=1 n a si p s 0 =( 1 π k ) x k ,k= 1,n ¯ , (3)

satisfying conditions

p k 0 s=1 n p s 0 a sk >0,k= 1,n ¯ , (4)

where A= a ki k,i=1 n is a non-negative non-decomposable productive matrix, x= { x k } k=1 n is a strictly positive output vector solving the set of Equations (1).

The system of Equations (3) is a consequence of principle 2) of the equality of supply and demand for resources and produced goods (for details, see [1] [2] [4]).

The following Definition 2 is important for describing taxation systems that ensure sustainable development of economy.

Definition 2 The taxation system π= { π k } k=1 n , 0< π k <1 , k= 1,n ¯ , ensures the sustainable development of the economy under a strictly positive output vector x= { x k } k=1 n , if there exists a strictly positive equilibrium price vector p 0 = { p k 0 } k=1 n , solving the system of equations

i=1 n a ki ( 1 π i ) x i p i 0 s=1 n a si p s 0 =( 1 π k ) x k ,k= 1,n ¯ , (5)

and such that

p k 0 s=1 n p s 0 a sk >0,k= 1,n ¯ , (6)

where A= a ki k,i=1 n is a non-negative non-decomposable productive matrix.

The next Theorem 1 is an auxiliary result which will help to describe taxation systems that ensure sustainable development of the economy.

Theorem 1. Let z= { z i } i=1 n be a strictly positive vector from R + n and let A= a ki k,i=1 n be a non-negative non-decomposable matrix. The set of equations

z k i=1 n a ki z i = p k s=1 n a sk p s ,k= 1,n ¯ , (7)

has a strictly positive solution p= { p i } i=1 n R + n .

Proof. Let us consider the nonlinear set of equations

p k + y k s=1 n a sk p s 1+ k=1 n y k s=1 n a sk p s = p k ,k= 1,n ¯ , (8)

where we denoted by

y k = z k i=1 n a ki z i ,k= 1,n ¯ .

This set of equations has a solution in the set P={ p= { p i } i=1 n R + n , i=1 n p i =1 } ,

since the left part of this set of equations is a map that maps the set P into itself and is continuous on it. Really, due to Brouwer Theorem [12], there exists a solution

p 0 = { p i 0 } i=1 n of the set of Equations (8) in the set P. From the set of Equations (8) it follows that p 0 = { p i 0 } i=1 n is a solution of the set of equations

y k s=1 n a sk p s 0 =λ p k 0 ,k= 1,n ¯ , (9)

where λ= k=1 n y k s=1 n a sk p s 0 . We prove that λ>0 and the solution p 0 = { p i 0 } i=1 n of the system of Equations (9) is strictly positive due to the indecomposability of the matrix A. Indeed, the vector p 0 = { p i 0 } i=1 n satisfies the system of Equations (9), which can be written in operator form

V T p 0 =λ p 0 , (10)

or

[ V T ] n1 p 0 = λ n1 p 0 , (11)

where we introduced the matrix V= v ij ij=1 n , v ij = a ij y j , i,j= 1,n ¯ . Due to the fact that the vector p 0 belongs to the set P and the matrix V is non-negative and indecomposable, the vector [ V T ] n1 p 0 is strictly positive. It follows that λ>0 and the vector p 0 is strictly positive.

Let us prove that λ=1 . Multiplying by p k 0 the left and right hand sides of the equality

z k y k = i=1 n a ki z i ,k= 1,n ¯ ,

and summing up over k from 1 to n we obtain

k=1 n p k 0 z k y k = i=1 n k=1 n a ki p k 0 z i =λ i=1 n p i 0 z i y i .

Since k=1 n p k 0 z k y k >0 we have λ=1 . Theorem 1 is proved.

Consequence 1. The solution of the set of Equations (7) constructed in Theorem 1 is determined uniquely with accuracy up to a positive constant.

Theorem 2. Let x= { x i } i=1 n be a strictly positive output vector from R + n and let A= a ki k,i=1 n be a non-negative non-decomposable productive matrix. Necessary and sufficient conditions for the taxation system π= { π k } k=1 n , 0< π k <1 , k= 1,n ¯ , to ensure sustainable development of the economy is the following representation of it

π i =1b j=1 n a ij z j x i ,0<b< min 1in x i j=1 n a ij z j ,i= 1,n ¯ , (12)

for a certain strictly positive vector z= { z i } i=1 n R + n , satisfying conditions

z i j=1 n a ij z j >1,i= 1,n ¯ . (13)

Proof. Necessity. Let a taxation system π= { π k } k=1 n , 0< π k <1 , k= 1,n ¯ , ensure sustainable development of the economy. Then the equalities (5) are true. From them, it follows that

( 1 π k ) x k = i=1 n a ki z i 0 ,k= 1,n ¯ , (14)

where

z i 0 = ( 1 π i ) x i p i 0 s=1 n a si p s 0 >0,i= 1,n ¯ , (15)

p 0 = { p i 0 } i=1 n is a strictly positive solution to the set of Equations (5). Substituting (14) into (15), we obtain that p 0 = { p i 0 } i=1 n solves the set of equations

p k 0 s=1 n a sk p s 0 = z k 0 i=1 n a ki z i 0 ,k= 1,n ¯ . (16)

If to substitute instead of

p k 0 s=1 n a sk p s 0 ,k= 1,n ¯ ,

the right side of the equality (16) into (5), we get the set of equations relative to the taxation system π= { π k } k=1 n , 0< π k <1 , k= 1,n ¯ ,

i=1 n a ki ( 1 π i ) x i z i 0 s=1 n a ij z j 0 =( 1 π k ) x k ,k= 1,n ¯ . (17)

The solution of the set of Equations (17) is

π k =1b i=1 n a ki z i 0 x k ,0<b< min 1kn x k j=1 n a kj z j 0 ,k= 1,n ¯ . (18)

Due to the fact that equilibrium price vector p 0 = { p i 0 } i=1 n also satisfies the set of Equations (16), it follows that the inequalities (13) are true, since the equilibrium price vector p 0 = { p i 0 } i=1 n satisfies the inequalities (6).

Sufficiency. Suppose that the taxation system is given by the formula (12) for which the inequalities (13) are true. Let us prove the existence of strictly positive

solution p 0 = { p i 0 } i=1 n of the set of Equations (5) satisfying the inequalities (6). Substituting (12) into (5), we obtain the set of equations relative the equilibrium

price vector p 0 = { p i 0 } i=1 n

i=1 n a ki b j=1 n a ij z j p i 0 s=1 n a si p s 0 =b j=1 n a kj z j ,k= 1,n ¯ . (19)

If to choose the vector p 0 = { p i 0 } i=1 n so that it satisfied the system of equations

p i 0 s=1 n a si p s 0 = z i j=1 n a ij z j ,i= 1,n ¯ , (20)

then it would satisfy the set of Equations (5). But the strictly positive solution to the set of Equations (20) always exists, due to Theorem 1. Due to the inequalities (13), the inequalities (6) are true.

Next, Theorem 3 states that there are no taxation systems other than those described above that ensure sustainable economic development.

Theorem 3. Let x= { x i } i=1 n be a strictly positive output vector from R + n and let A= a ki k,i=1 n be a non-negative non-decomposable productive matrix. An economy functions in the mode of sustainable development if and only if for the taxation system π= { π k } k=1 n , 0< π k <1 , k= 1,n ¯ , the representation (12) is true, which satisfies the conditions (13).

Proof. Necessity. Let an economy function in the mode of sustainable development. Then, due to Definition 1, there exists a taxation system π= { π k } k=1 n , 0< π k <1 , k= 1,n ¯ , a strictly positive equilibrium price vector p 0 = { p i 0 } i=1 n , solving the set of Equations (3), and satisfying the conditions (4). Let us prove that for the taxation system π= { π k } k=1 n , 0< π k <1 , k= 1,n ¯ , the representation (12)

is valid, and it satisfies the conditions (13). Introduce the denotations X i = x i p i 0 , i= 1,n ¯ , a ¯ ij = p i 0 a ij p j 0 , i,j= 1,n ¯ . Relative to the vector π= { π k } k=1 n , 0< π k <1 , k= 1,n ¯ , we obtain the set of equations

i=1 n a ¯ ki ( 1 π i ) X i s=1 n a ¯ si =( 1 π k ) X k ,k= 1,n ¯ . (21)

Let us denote

Y= { Y i } i=1 n , ( 1 π i ) X i s=1 n a ¯ si = Y i ,i= 1,n ¯ . (22)

Then the vector Y= { Y i } i=1 n solves the set of equations

i=1 n a ¯ ki Y i = s=1 n a ¯ sk Y k ,k= 1,n ¯ . (23)

Due to Lemma 3 [1], there exists the strictly positive solution to the set of Equations (23). We choose it such that i=1 n Y i =1 . Then, the others strictly positive solutions can be represented in the form c 0 Y , where c 0 >0 and is arbitrary. Then, we have

1 π i = c 0 Y i s=1 n a ¯ si X i ,i= 1,n ¯ . (24)

We choose c 0 such that 0< π i <1 , i= 1,n ¯ . Then, 0< c 0 < min 1in X i Y i s=1 n a ¯ si . Let us show that the representation (12) is true and the conditions (13) are valid. If to put z i = Y i p i 0 , i= 1,n ¯ , and to take into account (23), then we get

1 π i = c 0 j=1 n a ij z j x i ,i= 1,n ¯ . (25)

Since 0< π i <1 , i= 1,n ¯ , we have 0< c 0 < min 1in x i j=1 n a ij z j .

The proof of the fact that the inequalities (13) takes place is such that as the proof of sufficiency in Theorem 2. Really, since we proved the representation (12) for the taxation system, then, as in the proof of sufficiency of Theorem 2, we obtain that the strictly positive equilibrium price vector satisfies the set of equations

p i 0 s=1 n a si p s 0 = z i j=1 n a ij z j ,i= 1,n ¯ . (26)

Since the economy functions in the mode of sustainable development, the inequalities (4) are true, which proves the needed.

Sufficiency. Suppose that taxation system is given by the formula (12), which satisfies the conditions (13). Then, as in the proof of the sufficiency of Theorem 2, we obtain that the equilibrium price vector is a solution to the set of Equations (26), the solution of which exists, due to Theorem 1. It also solves the set of Equations (3) and satisfies the condition (4), since the inequalities

p i 0 s=1 n a si p s 0 = z i j=1 n a ij z j >1,i= 1,n ¯ , (27)

are valid. Theorem 3 is proved.

The following Theorem is a repetition of Theorem 16 from [1]. Here, we only specify what the taxation system is in this case, which was not in Theorem 16.

Theorem 4 Let x= { x i } i=1 n be a strictly positive output vector from R + n , such that the vector ( 1π )x= { ( 1 π k ) x k } k=1 n belongs to the interior of the cone created by the column vectors of the matrix A ( EA ) 1 , where A= a ki k,i=1 n is a non-negative non-decomposable productive matrix. For the taxation system, given by the formula (12), the economy system, described by input - outputproduction model, can function in the mode of sustainable development.

Proof. Due to Theorem 16 from [1], the conditions of which are fulfilled, the economy system can function in the mode of sustainable development. Theorem 4 indicates only what taxation system is.

Below, we give a new proof of this Theorem. From the taxation system, given by the formula (12), we have

( 1 π k ) x k =b i=1 n a ki z i 0 = i=1 n a ki z i ,k= 1,n ¯ , (28)

for a certain strictly positive vector z 0 = { z i 0 } i=1 n , where we put z= { z i } i=1 n =b { z i 0 } i=1 n . Thanks to Theorem 3, the equilibrium price vector p 0 = { p i 0 } i=1 n solves the set of equations

p i 0 s=1 n a si p s 0 = z i j=1 n a ij z j ,i= 1,n ¯ . (29)

Due to the conditions of Theorem 4, for the vector ( 1π )x the representation

( 1π )x=A ( EA ) 1 α,α= { α k } k=1 n , α k >0,k= 1,n ¯ , (30)

is true. The representation (30) for the vector z= { z i } i=1 n gives us the formula z= ( EA ) 1 α for a certain strictly positive vector α= { α i } i=1 n . From this, it follows that for the vector z= { z i } i=1 n , the inequalities

p i 0 s=1 n a si p s 0 = z i j=1 n a ij z j >1,i= 1,n ¯ , (31)

are true. This proves Theorem 4.

Theorem 5. Let x= { x i } i=1 n be a strictly positive output vector from R + n and let A= a ki k,i=1 n be a non-negative non-decomposable productive matrix. Suppose that the economy be in the mode of sustainable development with a strictly positive output vector x= { x i } i=1 n , solving the system of Equations (1), under the taxation system (12). Then the set of pure branches N={ 1,2,,n } is divided into two disjoint sets I and J such that IJ=N and the inequalities

Δ k C k + E k I k ,kI, Δ k > C k + E k I k ,kJ, (32)

are valid, where

Δ k = X k ( 1 s=1 n p s 0 a si p i 0 ), X k = p k 0 x k ,

C k = c k p k 0 , E k = e k p k 0 , I k = i k p k 0 ,k= 1,n ¯ , (33)

p 0 = { p i 0 } i=1 n is an equilibrium price vector.

Proof. Provided that the economy is in the mode of sustainable development, the equilibrium price vector p 0 = { p i 0 } i=1 n satisfies the system of equations

p i 0 s=1 n a si p s 0 = z i j=1 n a ij z j >1,i= 1,n ¯ , (34)

for a strictly positive vector z= { z i } n such that

( 1 π k ) x k =b j=1 n a kj z j ,k= 1,n ¯ , (35)

where

π k =1b i=1 n a ki z i x k ,0<b< min 1kn x k j=1 n a kj z j ,k= 1,n ¯ . (36)

Two cases are possible

z i j=1 n a ij z j x i j=1 n a ij x j ,iI, (37)

and

z i j=1 n a ij z j > x i j=1 n a ij x j ,iJ. (38)

In the first case (37), we have

p i 0 s=1 n a si p s 0 x i j=1 n a ij x j ,iI, (39)

or

s=1 n a si p s 0 p i 0 j=1 n a ij x j x i ,iI. (40)

From here, we get

1 s=1 n a si p s 0 p i 0 1 j=1 n a ij x j x i = c i + e i i i x i ,iI. (41)

From the last inequality, we have

Δ i = p i 0 x i ( 1 s=1 n a si p s 0 p i 0 ) p i 0 ( x i j=1 n a ij x j )= C i + E i I i ,iI. (42)

The consideration of the second case (38) proceeds similarly. As a result, we get that

Δ i = p i 0 x i ( 1 s=1 n a si p s 0 p i 0 )> p i 0 ( x i j=1 n a ij x j )= C i + E i I i ,iJ. (43)

Theorem 5 is proved. □

Definition 3. We say that under a taxation system π= { π i } i=1 n certain industries need subsidies if the strictly positive equilibrium price vector p 0 = { p i 0 } i=1 n solving the set of equations

i=1 n a ki ( 1 π i ) x i p i 0 s=1 n a si p s 0 =( 1 π k ) x k ,k= 1,n ¯ , (44)

is such that the added values created in these industries are negative for the strictly positive output vector x= { x k } k=1 n , satisfying the set of Equations (1).

Theorem 6. Let the output vector x= { x i } i=1 n be a solution to the set of Equations (1) and let A= a ki k,i=1 n be a non negative non-decomposable productive matrix. For the vector of taxation π= { π i } i=1 n , such that

1 π i =b j=1 n a ij z j x i ,i= 1,n ¯ ,0<b< min 1in x i j=1 n a ij z j , (45)

and non empty set

J={ k, z k j=1 n a kj z j <1 }N, (46)

there exists a strictly positive equilibrium price vector p 0 = { p i 0 } i=1 n solving the set of equations

i=1 n a ki ( 1 π i ) x i p i 0 s=1 n a si p s 0 =( 1 π k ) x k ,k= 1,n ¯ , (47)

and such that the industries, the indexes of which belongs to the set J, needs subsidies. The subsides into the k-th industry should not be smaller than

x k p k 0 ( j=1 n a kj z j z j 1 ),kJ. (48)

Proof. Let us show that the set J does not coincide with the set N={ 1,2,,n } .

The proof from the opposite. If the set J coincided with the set N, then we would get a set of inequalities

z k < j=1 n a kj z j ,k= 1,n ¯ . (49)

Due to productivity of the matrix A, the only bounded solution of set of inequalities (49) is zero solution. Contradiction, since the vector z= { z i } i=1 n is strictly positive one.

Since the vector p 0 = { p i 0 } i=1 n is a strictly positive solution of the set of Equations (7), then we have

p i 0 s=1 n a si p s 0 = p i 0 ( 1 j=1 n a ij z j z i ),i= 1,n ¯ . (50)

From the formula (50), we obtain the formula

Δ i = x i ( p i 0 s=1 n a si p s 0 )= x i p i 0 ( 1 j=1 n a ij z j z i )<0,iJ. (51)

Theorem 6 is proved.

Below, we study taxation systems of a special type, which we call perfect.

Definition 4. A system of taxation π= { π k } k=1 n , 0< π k <1 , k= 1,n ¯ , that ensures sustainable economic development we call perfect if the equalities

x k ( p k s=1 n p s a sk )=( x k i=1 n a ki x i ) p k ,k= 1,n ¯ , (52)

are true, where the output vector x= { x k } k=1 n satisfies the system of Equations (1) and the equilibrium price vector satisfies the set of Equations (2).

Remark 1. The set of Equalities (52) means that in each industry created gross added value is equal to the value of produced goods. From economic point of view it means that such tax system is equitable relative to all producers.

Theorem 7. Let A= a ki k,i=1 n be a non negative non-decomposable productive matrix and let the vector x= { x k } k=1 n be a strictly positive solution to the set of Equations (1). Then, there exists always the perfect system of taxation π= { π k } k=1 n given by the formula

1 π i =b j=1 n a ij x j x i ,i= 1,n ¯ ,0<b< min 1in x i j=1 n a ij x j , (53)

and a strictly positive equilibrium price vector p 0 ={ p i 0 } i=1 n solving the set of equations

i=1 n a ki ( 1 π i ) x i p i 0 s=1 n a si p s 0 =( 1 π k ) x k ,k= 1,n ¯ , (54)

which also satisfies the set of equation

p i 0 s=1 n a si p s 0 = p i 0 ( 1 j=1 n a ij x j x i ),i= 1,n ¯ . (55)

Proof. To prove Theorem 7, it needs to indicate the taxation system π= { π k } k=1 n under which the equalities (52) are true. Since the output vector x= { x k } k=1 n satisfies the system of Equations (1) and the equilibrium price vector p 0 = { p k 0 } k=1 n satisfies the set of Equations (2), the Equalities (52) are equivalent to the equalities

p k 0 i=1 n a ki x i = s=1 n a sk p s 0 x k ,k= 1,n ¯ . (56)

So, from the set of Equations (56) it follows that the equilibrium price vector p 0 = { p i 0 } i=1 n should satisfy the set of equations

p k 0 s=1 n a sk p s 0 = x k i=1 n a ki x i ,k= 1,n ¯ , (57)

the strictly positive solution of which p 0 = { p i 0 } i=1 n there exists always due to Theorem 1. Substituting the solution p 0 = { p i 0 } i=1 n of the set of Equations (57) into the set of Equations (54) we get the set of equations relative to the vector π= { π i } i=1 n

i=1 n a ki ( 1 π i ) x i 2 j=1 n a ij x j =( 1 π k ) x k ,k= 1,n ¯ . (58)

If we put that,

1 π i =b j=1 n a ij x j x i ,i= 1,n ¯ ,0<b< min 1in x i j=1 n a ij x j , (59)

then the system of Equations (58) is satisfied. It is evident that the solution to the set of Equations (57) is also the solution to the set of Equations (2) under tax system given by the formula (59).

Below, we consider the economy system described by “input - output” model with non negative non-decomposable productive matrix of direct costs A= a ki k,i=1 n and strictly positive output vector x= { x k } k=1 n that satisfies the set of equations

x k = i=1 n a ki x i + c k + e k i k ,k= 1,n ¯ , (60)

with the following limitations

c k + e k i k >0,k= 1,n ¯ , (61)

where

c= { c k } k=1 n ,e= { e k } k=1 n ,i= { i k } k=1 n ,

are the vectors of final consumption, export and import, correspondingly.

Theorem 8. Let A= a ki k,i=1 n be a non negative non-decomposable productive matrix and let the strictly positive output vector x= { x i } i=1 n be a solution to the set of Equations (60) with limitations (61). For the vector of taxation π= { π i } i=1 n , where

π i =1b k=1 n a ik x k x i ,i= 1,n ¯ ,0<b< min 1in x i k=1 n a ik x k , (62)

there exists a strictly positive equilibrium price vector p 0 = { p i 0 } i=1 n solving the set of equations

i=1 n a ki ( 1 π i ) x i p i 0 s=1 n a si p s 0 =( 1 π k ) x k ,k= 1,n ¯ , (63)

which also satisfies the set of equations

p i 0 s=1 n a si p s 0 = p i 0 ( 1 j=1 n a ij x j x i )>0,i= 1,n ¯ . (64)

and is such that the economy system described byinput - outputmodel with non negative non-decomposable productive matrix of direct costs A= a ki k,i=1 n and output vector x= { x k } k=1 n is capable to function in the mode of sustainable development.

Proof. The proof of the first part of Theorem 8 follows from Theorem 7. Since the vector x= { x i } i=1 n is a solution to the set of Equations (60) with limitations (61), we obtain that

x k k=1 n a ki x i =1+ c k + e k i k i=1 n a ki x i >1,k= 1,n ¯ .

It is not difficult to find that the created added value is given by the formula

δ i 0 = p i 0 s=1 n a si p s 0 =( x i j=1 n a ij x j 1 ) s=1 n a si p s 0 p i 0 p i 0 = p i 0 ( 1 j=1 n a ij x j x i )>0,i= 1,n ¯ . (65)

Theorem 8 is proved.

Consequence 2. In the mode of sustainable development the gross added value created in the i-th industry is equal to the value of the final product created in this industry.

Proof. From the formula (65) we have

Δ i X i = x i δ i 0 x i p i 0 =1 j=1 n p i 0 a ij p j 0 p j 0 x j p i 0 x i = C i + E i I i X i ,i= 1,n ¯ , (66)

where we introduced the denotations X k = x k p k 0 , C k = c k p k 0 , E k = e k p k 0 , I k = i k p k 0 . From here we get Δ i = C i + E i I i . Consequence 2 is proved.

Based on Theorems 1 - 8, we conclude that the deviation the value ( C+EI )Δ from zero depends on the taxation system. If the taxation system is given by formulas (62), then the perfect sustainable economic development takes place. Theorem 5 states that this deviation depends on the deviation of the taxation system from the perfect one. So, the characteristic of the taxation system in the mode of sustainable development is the number of negative and positive signs of the value ( C+EI )Δ .

The number of negative and positive signs of the value ( C+EI )Δ we call the signature of taxation.

Every economy in the world is open to its environment. That is, they all exchange goods, labor resources and capital among themselves. This happens due to uneven distribution of resources, excess production of goods. Some countries are rich in resources, while others have high-tech industries. Because of this, some import raw materials, while others import goods with high added value. Below we define the conditions under which an open economic system that imports both produced goods and resources can operate in the mode with subsides of certain industries.

Theorem 9 takes into account such a situation. Below, we consider the economy system described by “input - output” model with non negative non-decomposable productive matrix of direct costs A= a ki k,i=1 n and output vector x= { x k } k=1 n that satisfies the set of equations

x k = i=1 n a ki x i + c k + e k i k ,k= 1,n ¯ , (67)

with the limitations

c k + e k i k 0,kI, c k + e k i k <0,kJ,J, (68)

where c= { c k } k=1 n , e= { e k } k=1 n , i= { i k } k=1 n , are the vectors of final consumption, export and import, correspondingly.

Theorem 9. Let A= a ki k,i=1 n be a non-negative non-decomposable productive matrix and let the strictly positive output vector x= { x i } i=1 n be a solution to the set of Equations (67) with limitations (68). For the vector of taxation π= { π i } i=1 n , where

1 π i =b j=1 n a ij x j x i ,i= 1,n ¯ ,0<b< min 1in x i j=1 n a ij x j , (69)

there exists a strictly positive equilibrium price vector p 0 = { p i 0 } i=1 n solving the set of equations

i=1 n a ki ( 1 π i ) x i p i 0 s=1 n a si p s 0 =( 1 π k ) x k ,k= 1,n ¯ , (70)

and such that the economy system described by “input - output” model with non negative non-decomposable productive matrix of direct costs A= a ki k,i=1 n and output vector x= { x k } k=1 n is capable to function in the mode with subsides. The subsides into the k-th industry should not be smaller than

x k p k 0 ( j=1 n a kj x j x k 1 ),kJ. (71)

Proof. Due to Theorem 9 conditions, there exists strictly positive solution to the set of Equations (70) that satisfies the set of equations

p i 0 s=1 n a si p s 0 = x i k=1 n a ik x k ,i= 1,n ¯ . (72)

Since the strictly positive vector x= { x i } i=1 n is a solution to the set of Equations (67) we obtain that

x k k=1 n a ki x i =1+ c k + e k i k i=1 n a ki x i 1,kI,

x k k=1 n a ki x i =1+ c k + e k i k i=1 n a ki x i <1,kJ.

So, the vector p 0 = { p i 0 } i=1 n is a strictly positive solution of the set of Equations (7), then we have

p i 0 s=1 n a si p s 0 = p i 0 ( 1 j=1 n a ij x j x i )<0,iJ. (73)

From the formula (73) it follows that subsides in the k-th industry should not be smaller than

x k p k 0 ( j=1 n a kj x j x k 1 ),kJ. (74)

Theorem 9 is proved. □

Remark 2. The capacity | J | of the set J in Theorem 9 shouldnt be large. Otherwise in the economy system financial collapse may occur.

Consequence 3. In the mode of sustainable economic development, the gross output vector X= { X k } k=1 n in value indicators satisfies the system of equations

i=1 n a ¯ ki X i = s=1 n a ¯ sk X k ,k= 1,n ¯ , (75)

where we introduced the denotations X k = p k 0 x k , a ¯ ki = p k 0 a ki p i 0 , k,i= 1,n ¯ . The equilibrium price vector p 0 = { p i 0 } i=1 n solves the set of Equations (72) and the output vector x= { x i } i=1 n solves the set of Equations (67). In this case, the following formulae

C k + E k I k =( 1 s=1 n a ¯ sk ) X k ,k= 1,n ¯ , (76)

take place.

Proof. The set of Equations (75) is a direct consequence of the set of Equations (72). Due to Lemma 3 (see [1]), there exists always the solution to the set of Equations (75) relative to the vector X= { X i } i=1 n . From the fact that

C k + E k I k = X k i=1 n a ¯ ki X i = X k ( 1 s=1 n a ¯ sk ),k= 1,n ¯ , (77)

we get the needed statement.

Consequence 4. In the mode of sustainable economic development, the following formulas

Δ k =( 1 s=1 n a ¯ sk ) X k ,k= 1,n ¯ , (78)

are true. The taxation vector π= { π k } k=1 n is given by the formula

π k =1b s=1 n a ¯ sk =1b( 1 Δ k X k ),0<b< min 1kn 1 s=1 n a ¯ sk ,k= 1,n ¯ . (79)

Proof. The proof of the formula (79) follows from the Theorem 9. Really, from the formula (69), we have

1 π i =b j=1 n a ij x j x i =b s=1 n a si p s 0 p i 0 =b s=1 n a ¯ si =b( 1 Δ i X i ),i= 1,n ¯ . (80)

3. Equilibrium States with Partial Market Clearing

The previous section completely describes the taxation systems that ensure the sustainable development of the economic system. According to Definition 2, there is always a strictly positive equilibrium price vector p 0 = { p k 0 } k=1 n satisfying the system of Equations (5), i.e., there is a complete clearing of markets. But when the taxation system does not coincide with the described ones, then the equilibrium vector of prices p 0 = { p k 0 } k=1 n must satisfy the system of equations and inequalities

i=1 n a ki ( 1 π i ) x i p i 0 s=1 n a si p s 0 ( 1 π k ) x k ,k= 1,n ¯ . (81)

In this case, we say about only a partial clearing of the markets. Our task is to describe all equilibrium states in which only partial market clearing occurs. The latter means that all non-negative solutions of the system of equations and inequalities (81) should be described.

Let us introduce the denotations ( 1 π k ) x k = b k , k= 1,n ¯ and a vector b= { b k } k=1 n . We assume that the vector x= { x k } k=1 n is a strictly positive solution to the set of Equations (1) and tax system π= { π k } k=1 n is such that 0< π k <1 , k= 1,n ¯ . From this assumptions we obtain that the vector b= { b k } k=1 n is strictly positive. So, we need to describe all non negative solutions p= { p k } k=1 n of the nonlinear set of equations and inequalities

j=1 n a ij b j p j s=1 n a sj p s = b i ,iI,

j=1 n a ij b j p j s=1 n a sj p s < b i ,iJ, (82)

where I and J are non empty sets such that IJ=N={ 1,2,,n } , IJ= .

Lemma 1 Let A= a ij i,j=1 n be a non negative non zero matrix and let b= { b i } =1 n be a strictly positive vector. If p= { p i } i=1 n is an equilibrium price vector which solves the system of equations and inequalities

j=1 n a ij b j p j s=1 n a sj p s = b i ,iI,

j=1 n a ij b j p j s=1 n a sj p s < b i ,iJ, (83)

in the set P={ p= { p i } i=1 n , p i 0,i= 1,n ¯ , i=1 n p i =1 } , then p i =0 , iJ .

Proof. Suppose that the vector p= { p i } i=1 n is a solution of the system of equations and inequalities (83) belonging to the set P. Let us show that p i =0 , iJ . We lead the proof from the opposite. Let at least one component p k , kJ , of the vector p be strictly positive. Then, multiplying by p i , i= 1,n ¯ , the i-th equation or inequality and summing up the left and right parts, respectively, we obtain

the inequality j=1 n b j p j < i=1 n b i p i . Since the vector b is a strictly positive one, this inequality is impossible because j=1 n b j p j >0 . Therefore, our assumption is not correct, and so p i =0 , iJ .

Suppose that I be a nonempty subset of indices k N 0 =[ 1,2,,n ] . Let us consider the system of equations

i=1 l c ki z i = b k ,kI, (84)

and inequalities

i=1 l c ki z i < b k ,kJ, (85)

where C= c ki k=1,i=1 n,l is a non negative non zero matrix. First, to describe all the non-negative solutions of the set of equations and inequalities (83), we give the complete description of the non-negative solutions of the system of equations and inequalities (84), (85).

We denote by c i = { c ki } k=1 n , i= 1,l ¯ , the i-th column of the matrix C= c ki k=1,i=1 n,l . Let us consider the numbers d i = min 1kn b k c ki , i= 1,l ¯ .

Next, Theorem 10 generalizes Theorem 9 from [1].

Theorem 10 Let the strictly positive vector b not belong to the cone formed by the column vectors c i = { c ki } k=1 n , i= 1,l ¯ , of the non-negative matrix C such that i=1 l c ki >0 , k= 1,n ¯ , k=1 n c ki >0 , i= 1,l ¯ . Any non-negative solution of the system of Equations (84) and inequalities (85) is given by the formula

z= { c( α ) α i d i } i=1 l ,

where α= { α i } i=1 l Q={ α= { α i } i=1 l , α i 0, i=1 l α i =1 } ,

c( α )= min 1kn b k [ i=1 l α i d i c i ] k 1.

The function c( α ) is bounded and continuous on the set Q.

Proof. Let z 0 = { z i 0 } i=1 l be a certain vector that is a solution of the system of Equations (84) and inequalities (85). Let’s denote

α i = z i 0 d i j=1 l z j 0 d j ,i= 1,l ¯ .

Then, we have

C z 0 = i=1 l c i z i 0 = j=1 l z j 0 d j i=1 l α i d i c i .

Because of

min 1kn b k [ C z 0 ] k =1,

we get

j=1 l z j 0 d j = min 1kn b k [ i=1 l α i d i c i ] k .

It is obvious that, conversely, every vector α= { α i } i=1 l Q corresponds to a solution of the system of Equations (84) and inequalities (85), which is given by the formula

z= { c( α ) α i d i } i=1 l ,

where

c( α )= min 1kn b k [ i=1 l α i d i c i ] k .

Let us establish that c( α )1 . It is obvious that c i d i b . Multiplying by δ i 0 the left and right parts of the last inequality and summing up over i and assuming that i=1 l δ i >0 we will get

i=1 l δ i d i c i i=1 l δ i b.

Denoting α i = δ i i=1 n δ i , i= 1,l ¯ , we get what we need. It follows from the assumptions relative to matrix C that for every index 1il there exists an index k such that

j=1 l c kj z j 0 c ki z i 0 ,

where c ki >0 . Hence

z i 0 b k c ki max 1kn b k min c ki >0 c ki = c 0 <.

Due to the arbitrariness of the solution z 0 = { z i 0 } i=1 l of the system of Equations (84) and inequalities (85), we obtain

c( α ) α i d i c 0 .

Or

c( α ) α i c 0 d i .

After summing up over the index i, we get

c( α ) i=1 l c 0 d i .

The boundedness of c( α ) is established.

Let’s prove the continuity of c( α ) . Let us consider the set of functions i=1 l c ki α i d i , k= 1,n ¯ Every of these function is continuous on the set P. Since c( α ) is bounded let us denote B= sup αP c( α )< . For sufficiently small ε>0 that satisfies inequalities b k ε >B , k= 1,n ¯ , let us introduce the sets

C k ε ={ αP, i=1 l c ki α i d i ε },k= 1,n ¯ .

If the set C k ε is nonempty one we introduce the function

V k ε ( α )={ b k i=1 l c ki α i d i , ifαP\ C k ε , b k ε , ifα C k ε . (86)

If the set C k ε is empty one we put

V k ε ( α )= b k i=1 l c ki α i d i .

The functions V k ε ( α ) are continuous on the set P and the equality

min 1kn V k ε ( α )=c( α )

is true. Really, from the inequalities

b k i=1 l c ki α i d i V k ε ( α ),k= 1,n ¯ ,

it follows that

min 1kn V k ε ( α )c( α ).

Let us show that the inequality

min 1kn V k ε ( α )<c( α )

for any point αP is impossible. From the definition of V k ε ( α ) it means that min 1kn V k ε ( α )= b k 0 ε >B for a certain k 0 . But this is impossible. The function min 1kn V k ε ( α ) is continuous on P.

Theorem 10 is proved.

Let us denote all non negative solutions of the set of inequalities

i=1 l c ki z i b k ,k= 1,n ¯ , (87)

by Z.

Proposition 1 In the set of solutions Z 0 ={ z 0 = { z i 0 } i=1 l = { a( α ) α i d i } i=1 l ,αQ } of the system of Equations (84) and Inequalities (85), there exists a minimum of the function

W( α )= k=1 n [ b k c( α ) i=1 l c ki α i d i ] 2 .

This minimum is global on the set of all solutions of the system of inequalities (87), i.e.

min αQ W( α )= min zZ k=1 n [ b k i=1 l c ki z i ] 2 ,

where Z is the set of all non-negative solutions of the system of inequalities (87).

Proof. The function W( α ) is continuous on the closed bounded set Q, because so is the function c( α ) due to its continuity. According to the Weierstrass Theorem, there exists a minimum of the function W( α ) . For any solution

z= { z i } i=1 l Z let’s denote

α i = z i d i j=1 n z j d j ,i= 1,l ¯ .

Then,

Cz= i=1 l c i z i = j=1 l z j d j i=1 l α i d i c i b.

From here,

j=1 l z j d j min 1kn b k [ i=1 l α i d i c i ] k =c( α ).

Therefore,

k=1 n [ b k i=1 l c ki z i ] 2 k=1 n [ b k c( α ) i=1 l c ki α i d i ] 2 min αQ k=1 n [ b k c( α ) i=1 l c ki α i d i ] 2 .

Taking the minimum over zZ , we have

min zZ k=1 n [ b k i=1 l c ki z i ] 2 min αQ k=1 n [ b k c( α ) i=1 l c ki α i d i ] 2 .

The inverse inequality is obvious due to the inclusion Z Z 0 , where Z 0 is the set of solutions of the system of Equations (84) and inequalities (85). Proposition 1 is proved.

Theorem 11. Let A= a ij ij=1 n be a non negative nonzero matrix. The sufficient condition for the existence of a solution p= { p i } i=1 n of the system of equations

i=1 n a ki b ¯ i p i s=1 n a si p s = b ¯ k ,k= 1,n ¯ ,

in the set P={ p= { p i } i=1 n , p i 0,i= 1,n ¯ , i=1 n p i =1 } is the existence of a solution to the system of equations

z i = b ¯ i p i 0 s=1 n a si p s 0 ,i= 1,n ¯ ,

in the set P for a certain non negative nonzero vector z= { z i } i=1 n and b ¯ =Az= { b ¯ i } i=1 n .

Proof. The proof is obvious.

Theorem 12 Let A= a ij ij=1 n be a non negative non zero matrix and z= { z i } i=1 n be a non negative vector such that the vector b ¯ =Az= { b ¯ i } i=1 n is strictly positive. Then, there exists a solution to the set of equations

z i = b ¯ i p i 0 s=1 n a si p s 0 ,i= 1,n ¯ ,

in the set P={ p= { p i } i=1 n , p i 0,i= 1,n ¯ , i=1 n p i =1 } .

Proof. Let us consider the nonlinear set of equations

p k + y k s=1 n a sk p s 1+ k=1 n y k s=1 n a sk p s = p k ,k= 1,n ¯ , (88)

where we denoted by

y k = z k i=1 n a ki z i ,k= 1,n ¯ .

There exists a solution of this set of equations in the set P, since the left part of this set of equation is a map that maps the set P into itself and is continuous on it.

Due to Brouwer Theorem [12], there exists a solution p 0 = { p i 0 } i=1 n of the set of Equations (88) in the set P. From the set of Equations (88), it follows that p 0 = { p i 0 } i=1 n is a solution of the set of equations

y k s=1 n a sk p s 0 =λ p k 0 ,k= 1,n ¯ , (89)

where λ= k=1 n y k s=1 n a sk p s 0 . Or,

z k s=1 n a sk p s 0 =λ p k 0 i=1 n a ki z i ,k= 1,n ¯ . (90)

Summing up over k from 1 to n the left and right hand sides of the equalities (90) we get

s=1 n b ¯ s p s 0 =λ k=1 n p k 0 b ¯ k ,k= 1,n ¯ . (91)

Since b ¯ k >0 , k= 1,n ¯ , and the vector p 0 = { p i 0 } i=1 n is non zero, we obtain s=1 n b ¯ s p s 0 >0 . From here, we get λ=1 . Theorem 12 is proved.

Definition 5. Let A= a ij i,j=1 n be a non negative non zero matrix and let b be a strictly positive vector which does not belong to the cone formed by the column vectors of the matrix A. We say that the vector z= { z i } i=1 n being a solution of the system of equations and inequalities

j=1 n a ij z j = b i ,iI, (92)

j=1 n a ij z j < b i ,iJ, (93)

for a certain nonempty set I, corresponds to the equilibrium price vector which is a solution of the system of equations

i=1 n a ki b ¯ i p i s=1 n a si p s = b ¯ k ,k= 1,n ¯ , (94)

in the set P={ p= { p i } i=1 n , p i 0,i= 1,n ¯ , i=1 n p i =1 } , where b ¯ =Az= { b ¯ i } i=1 n .

Remark 3 In the Definition 5 the equilibrium price vector which corresponds to the vector z= { z i } i=1 n being a solution of the system of equations and inequalities (92), (93) is non unique. If to choose a certain one then the other differ from it by multiplier which is a strictly positive constant.

Theorem 13 is the basis for the determining of the equilibrium price vector in the case of partial clearing of markets.

Theorem 13 Let A= a ij i,j=1 n be a non negative non zero matrix and let b= { b i } i=1 n be a strictly positive vector. The equilibrium price vector p= { p i } i=1 n being a solution of the system of equations and inequalities

j=1 n a ij b j p j s=1 n a sj p s = b i ,iI,

j=1 n a ij b j p j s=1 n a sj p s < b i ,iJ, (95)

in the set P={ p= { p i } i=1 n , p i 0,i= 1,n ¯ , i=1 n p i =1 } is a solution of the system of equations

z i = b ¯ i p i s=1 n a si p s ,i= 1,n ¯ , (96)

where b ¯ = { b ¯ i } i=1 n , b ¯ =Az , the vector z= { z i } i=1 n is determined as follows z i = z i 0 , iI , z i =0 , iJ . The non-negative vector z 0 I = { z i 0 } iI satisfies the system of equations and inequalities

jI a ij z j 0 = b i ,iI, (97)

jI a ij z j 0 < b i ,iJ. (98)

Proof. Let there exist a solution of the system of equations and inequalities (95) with respect to the vector p= { p i } i=1 n in the set P. Due to Lemma 1, the components of the equilibrium price vector p= { p k } k=1 n solving the set of equations and inequalities (95) are such that p i =0 , iJ . The remaining components p i , iI , of the vector p are the solution of the system of equations and inequalities

jI a ij b j p j sI a sj p s = b i ,iI, (99)

jI a ij b j p j sI a sj p s < b i ,iJ. (100)

Let us introduce the denotation

z j 0 = b j p j sI a sj p s ,jI. (101)

It is evident that the equalities and inequalities

jI a ij z j 0 = b i ,iI,

jI a ij z j 0 < b i ,iJ,

are valid. If we introduce a vector z= { z i } i=1 n , where z i = z i 0 , iI , z i =0 , iJ , then we obtain that the vector z satisfies a system of equations and inequalities

j=1 n a ij z j = b i ,iI,

j=1 n a ij z j < b i ,iJ.

The price vector p= { p i } i=1 n , being a solution of the system of Equations (96), is also a solution of the system equations

j=1 n a ij b ¯ j p j s=1 n a sj p s = b ¯ i ,i= 1,n ¯ , (102)

due to the fact that b ¯ =Az . Theorem 13 is proved.

Theorem 14. Let A= a ij i,j=1 n be a non negative non zero matrix and let b= { b i } i=1 n be a strictly positive vector. The necessary and sufficient condition of the existence of the equilibrium price vector p= { p i } i=1 n which is a solution of the system of equations and inequalities

j=1 n a ij b j p j s=1 n a sj p s = b i ,iI,

j=1 n a ij b j p j s=1 n a sj p s < b i ,iJ, (103)

in the set P={ p= { p i } i=1 n , p i 0,i= 1,n ¯ , i=1 n p i =1 } is the existence of a non negative solution of the system of equations and inequalities

jI a ij z j = b i ,iI,

jI a ij z j < b i ,iJ, (104)

for a certain non empty set I.

Proof. Necessity. Let there exist a solution of the system of equations and inequalities (103) with respect to the vector p= { p i } i=1 n in the set P. Due to Lemma 1, we have that p i =0 , iJ , where I is a non empty set. The remaining components p i , iI , of the vector p are the solution of the system of equations and inequalities

jI a ij b j p j sI a sj p s = b i ,iI, (105)

jI a ij b j p j sI a sj p s < b i ,iJ. (106)

Let’s introduce the denotation

z i = b i p i sI a si p s ,iI.

Then the equalities and inequalities

jI a ij z j = b i ,iI,

jI a ij z j < b i ,iJ.

are valid. It is obvious that z i 0 , iI . The necessity is established.

Sufficiency. If there exists a non negative solution of the system of equations and inequalities (104), then b i = [ Az ] i >0 , iI . Due to Theorem 12, there exists a solution p 0 I = { p i 0 } iI of the set of equations

z i = b ¯ i p i 0 sI a si p s 0 ,iI,

in the set P={ p= { p i } iI , p i 0,iI, iI p i =1 } for the non negative nonzero vector z= { z i } iI , where b ¯ = { b ¯ i } iI , b ¯ i = iI a ij z j , iI .

Therefore, the vector p 0 = { p i 0 } i=1 n is a solution of the system of equations

iI a ki p i 0 b i sI a si p s 0 = b k ,kI, (107)

and inequalities

iI a ki p i 0 b i sI a si p s 0 < b k ,kJ. (108)

Let’s construct the equilibrium vector of prices p= { p i } i=1 n by setting p i =0 , iJ , and putting p i = p i 0 , iI . The price vector constructed in this way is the solution of the system of equations and inequalities (103). Theorem 14 is proved.

The question arises for which sets I there is a non-negative solution of the system of equations and inequalities (104). The answer to this question is provided by Theorem 10.

Let us construct the matrix C, which appears in Theorem 10. Let’s put C I = a ki k= 1,n ¯ ,iI . Then the matrix C I has dimension n×| I | , where | I | is a capacity of the set I.

Consequence 5. The solution of the set of equations and inequalities (104) exists if the matrix C I is such that the conditions of Theorem 10 are fulfilled.

Let us denote Z 0 the set of all solutions of the set of equations and inequalities (104) when the set IN runs the set of all subsets of the set N for which the solution of the set of equations and inequalities (104) exists. For any vector z Z 0 , let

b ¯ = iI z i a i (109)

for a certain IN . Then, I={ i, b ¯ i = b i } is a nonempty set and the vector b ¯ we call the vector of real consumption. In accordance with Theorem 11, 12 it corresponds to the equilibrium price vector p 0 = { p i 0 } i=1 n , which is the solution of the system of Equations (102).

For part of goods, the indices of which are included in the set J= N 0 \I , the equilibrium price is p i 0 =0 , iJ . The latter means that industries the indexes of which belongs to the set J need subsidies. But certain funds were spent on their production, which are called the cost of these goods. Let’s introduce the generalized equilibrium price vector by putting p u = { p i u } i=1 n p i u = p i 0 , iI , p i u = p i c , iJ , where p i c = sI a si p s 0 is the cost price of the produced goods. Each such equilibrium state we characterize by the level of excess supply

R= b b ¯ , p u b, p u , (110)

where x,y = i=1 n x i y i , x= { x i } i=1 n , y= { y i } i=1 n .

Finding solutions of the system of equations and inequalities (84), (85) with the smallest excess supply will require finding all possible solutions of such a system of equations and inequalities and finding among them the minimum excess supply, which can turn out to be an infeasible problem for large dimensions of the matrix A. Based on Theorem 10 and Proposition 1 below, the solution of this problem is proposed as a quadratic programming problem.

Definition 6. Let A be a non negative indecomposable matrix, and let b be a strictly positive vector that does not belong to the cone formed by the column vectors of the matrix A. The solution z 0 of the quadratic programming problem

min z Z 0 i=1 n [ b i k=1 n a ik z k ] 2 (111)

corresponds to the real consumption vector b ¯ =A z 0 b . Assume that for the non-empty set I={ i, b ¯ i = b i } there exists an equilibrium price vector p 0 = { p i 0 } i=1 n which is a solution of the system equations

i=1 n a ki p i 0 b ¯ i s=1 n a si p s 0 = b ¯ k ,k= 1,n ¯ . (112)

Then the value

R= b b ¯ , p u b, p u (113)

is called the generalized excess supply corresponding to the generalized equilibrium vector of prices p u , where x,y = i=1 n x i y i , x= { x i } i=1 n , y= { y i } i=1 n .

According to the formula (113), the level of excess supply for the generalized equilibrium vector is the smallest. This is the state of economic equilibrium below which the economic system cannot fall. If this value is quite large, then the economic system may fall into a state of recession (see [13]-[16]).

Therefore, if the taxation system does not coincide with the taxation system that ensures sustainable development, then the vector { ( 1 π i ) x i } i=1 n does not belong to the interior of the cone formed by the vectors of the columns of the matrix A ( EA ) 1 (see Theorem 16 in [1]). This leads to the fact that in a state of economic equilibrium certain industries need subsidies for their existence. As we can see, the reason for this is the taxation system, which leads to the fact that a certain part of the industries is unprofitable.

4. Conclusions

The work describes all taxation systems that ensure sustainable development. An explicit form for such taxation systems was found and an equilibrium price vector corresponding to them was constructed. This equilibrium price vector is determined from the condition of equality of supply and demand for resources and produced goods from them. The demand for resources and produced goods is determined by both producers of products and consumers of finished products. That is, the equilibrium price vector is formed both under the influence of market forces and the taxation system. Under such an equilibrium price vector, the economy is able to function in the mode of sustainable development. Among taxation systems that ensure sustainable development, there are perfect taxation systems that are characterized by the equality of the created gross added value in the industry of the value of the product created in the same industry.

The taxation system under which the economic system is able to function in the mode with subsidies is also completely described.

It is shown that in the mode of sustainable development with perfect tax system, the gross output vector in value indicators satisfies a certain system of linear homogeneous equations. As a consequence of this, the vector of the created product in value indicators coincides with the vector of created added values in the economic system.

But there are tax systems that do not coincide with tax systems that ensure sustainable development. Under such taxation systems, only partial clearing of markets takes place. For this case, a complete description of all equilibrium states is given in which only partial clearing of the markets takes place. For this, a complete description of all non negative solutions of linear systems of equations and inequalities was given. Based on this result, a complete description of all equilibrium states in which only partial clearing of the markets takes place was given.

This work is partially supported by the Fundamental Research Program of the Department of Physics and Astronomy of the National Academy of Sciences of Ukraine “Building and researching financial market models using the methods of nonlinear statistical physics and the physics of nonlinear phenomena N 0123U100362”.

Conflicts of Interest

The author declares no conflicts of interest regarding the publication of this paper.

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