Research Article | Open Access

Ruoyan Sun, "Migration-Driven Aggregation Behaviors of Job Markets in a Multi-Group Environment", *Economics Research International*, vol. 2013, Article ID 250717, 6 pages, 2013. https://doi.org/10.1155/2013/250717

# Migration-Driven Aggregation Behaviors of Job Markets in a Multi-Group Environment

**Academic Editor:**Miguel Leon-Ledesma

#### Abstract

This paper introduces a new model describing the aggregate growth of job markets. We divide the job market in each city into two groups: native job market of size and an immigrant job market of size . A reversible migration of jobs exists in both groups. In addition, the interaction between these two groups creates both native and immigrant jobs. A loss of native jobs also takes place due to the interaction. Through studying initial conditions, job-creation rate, and job-loss rate we discover some meaningful results. The size change of native job market is closely related to that of the migration rate, native job-creation rate, and native job-loss rate. We assume that these rates are proportional to the sizes of two groups and find out that for certain initial conditions, immigrants influence native job markets positively. They create more jobs for both job markets. In addition, we can make conclusions about the future trend of the flow of jobs. People will move to places like big cities where there is a higher concentration of job opportunities.

#### 1. Introduction

Much research has been done on the aggregation process in the past few decades. This enthusiasm starts from natural scientists, according to [1–3] and references therein. Biologists find it possible to study the behavior of species via aggregation process [2], and physicists use it to look at dynamics of different systems [1, 3]. With the development of knowledge about networks, aggregation process has been applied to solve many networking problems. These problems vary from population migration [4] to social network about individual interactions in [5, 6]. Some people have introduced this method to social sciences as well, such as [7, 8].

Another field where aggregation process is vastly applied is population dynamics [9–11]. Population groups are viewed as aggregates, and the interaction among them can be assimilated to the ones among aggregates with different sizes. Immigration phenomenon is studied through aggregation process as well, such as in [12, 13]. Here immigration leads to two major effects: catalyzed birth and death rates on the original group. The relative dominance of one effect over the other is analyzed through the growth of the aggregates.

Some assume an irreversible reaction scheme when dealing with aggregates: in [1]. Here, is an aggregate with size , and is the rate of migration from to . This scheme shows that for each individual monomer, it prefers larger aggregates and always moves from the smaller ones to the bigger aggregates. However, a more general reversible reaction process exists as well where each monomer moves from bigger aggregates to smaller ones in [14].

Job is an important topic in labor economics. There are many different approaches to this issue; for example, [15] addressed the influence of social networks on job market transitions and [16] looked at the process of job searching. Recently, scholars have combined the issue of job with population migration. In [17], the author revisited the area approach by analyzing the effects of immigrants on the labor demand for natives in the US. Reference [18] provided a dynamic structural model of migration decisions that is aggregated to describe the behavior of interregional migration. The author proposed a new job model with migration-driven aggregation process, and investigated the evolution of job markets of different sizes in multi-link cities in [19]. Motivated by the above analysis, in our paper, we investigate the evolution of the job markets of different sizes in cities. To the best of our knowledge, there are a few results in the literature on this topic.

In this paper, we divide the job market in cities into two groups: means a city that has a job market with positions occupied by natives; is a city with a job market of size for immigrants. There exists a migration of jobs among job markets of the same kind. This migration is reversible as jobs move from small cities to big ones and vice versa. In addition, various and interact with each other as well. The presence of immigrants in the job markets has both positive and negative impacts on the original one.

#### 2. Model and Analysis

First, we make an assumption about this model. The job markets are spatially homogeneous. That means their only difference lies in their sizes.

Let denote a city with a native job market of size and a city with an immigrant job market of size . Then let be the number of city at time and be the number of city at time . The change rate of these two kinds of cities according to time can be represented by the following equations:

The first three terms in both equations are the migration within the same group. Here, is the exchange rate of jobs among different , and is the one for immigrant job markets. For convenience, we assume that the rate of a job movement from to is proportional to the size and . We denote , . This means the bigger these two job markets are, the more frequent job movement takes place. This makes sense in real life as the migration of jobs happens much more frequently in job concentrated areas.

In addition to migrations within the same group, the existence of immigrant job market has two effects on the native one. First, the transfer of immigrant jobs might create new job positions for the natives. However, another effect is the opposite. The influx of immigrants might take over the jobs of natives. Then natives either have to look for a job in another city or become unemployed. The fourth and fifth terms in the first equation describe the jobs created through the interaction of two groups. The last two terms in the first equation describe the job loss due to the interaction. represents the rate of jobs created due to to , while is the rate of job loss for because of , and is the rate of job loss for due to . Here, we assume that every job lost by an immigrant is gained by a native, so . The last two terms in the second equation show the gain of jobs for the immigrants via the interaction with the natives. We further assume that and , respectively.

The rate equations for our system (1) are reduced to where and are the total number of job positions of natives and immigrants at time , respectively. is the total number of cities with a native job market at time . is the total number of cities with an immigrant job market at time .

In this paper, we find that our current rate equations (2) can be solved by the Ansatz [4, 7]. Consider where , , , and are continuous functions, and , .

By substituting Ansatz (3) into the rate equation (2), it can be transformed into the differential equations as follows:

We note that and , then . Similarly , = and .

Using these moment expressions, system (4) can be rewritten into the following equations:

The initial condition is

From these equations, we can derive the following equations:

The relation between and can be derived directly under the initial condition (6); that is,

With this relation, from (7) and (8), one can obtain that is,

(I) In the case of , this Bernoulli equation (10) can be solved under the initial condition (6) to yield

The total number of immigrant job positions can be solved exactly in the same way from (7) and (11):

Here, the solution is valid only in the time region , where .

We can see that and grow with time in the above cases, and they grow much faster in time because the rates of job migrating are both proportional to the size of the job market itself. When reaches , their kinetic behaviors can be analyzed. At a finite time , both and reach infinity, which implies that during a finite time there will be a tremendous increase of jobs.

In the time region , by substituting (11) and (12) into (7), one obtains

Hence, we have

From (7), .

Under the condition that , we can see that the total number of national jobs for natives increases exponentially and the one for immigrants increases exponentially as well due to the fact that both and go up. Meanwhile, goes down exponentially, and decreases over time.

These mathematical results show that when the rates , , and the initial conditions satisfy the given inequality, the number of jobs for natives grows exponentially over time and the jobs for immigrants increase exponentially as well. Both the native and immigrant job markets enlarge in sizes; this means that more people are getting employed. In addition, since the number of cities for both groups goes down as time goes, there is a phenomenon that people will move to big cities to look for job opportunities. This leads to a concentration of jobs in big cities and gradually leaves many rural places empty since

From and (12), one can obtain

Note that since and = , we derive the kinetic behaviors of the number of jobs in two groups with the time constraint as follows:

When , the explicit forms of and at time are as above. These solutions provide us with a clear and direct view at the number of cities with various sizes of job markets. Meanwhile, these two forms have further implications. Holding constant, when , or when , . These two extreme values of and obviously are not within the obtainable range in real life, but they imply that at certain times, a city with a job market with infinite jobs does not exist. That is, every city has a job market with a size of a finite number. Another case is holding other factors constant; when , both and . These two values describe the situation that during finite time periods, the number of cities with certain job markets goes to zero. The further explanation of this is that all people leave their local cities and move to big cities with more job opportunities. This conclusion is consistent with our analysis above about and .

(II) In the case of , from (10), one obtains Substituting (18) into (7), one has Here, the solutions are valid only in the time region , where .

We can see that and grow with time as in the previous cases, and they grow much faster because the job migrating rates are proportional to the size of the job markets. Their kinetic behaviors can be analyzed in the time region . When increases and reaches , and approach infinite values. This implies a huge increase of jobs for both groups during this time period.

In the time region , by substituting (18) and (19) into (7), one obtains

In addition, from (7), .

When holds, increases while decreases. The same happens to and ; the first goes up while the second one goes down.

These changes show a migration of population into big cities where people can find more jobs due to the availability of opportunities, and the presence of immigrants in the country will create a win-win situation. More jobs will be offered to both natives and immigrants. This is the ideal situation where everybody benefits from this immigration of foreign population.

We obtain the kinetic behaviors of the number of job markets for natives and immigrants with the time constraint as follows:

These two explicit forms of and are different from the ones under the condition that . However, both of them show the same characteristics: when , ceteris paribus, or when , ceteris paribus, . At a certain time point, a city can only have a job market with finite jobs. In addition, holding everything else equal, when , both and . That is, within the finite time period, people will move to more job concentrated areas leaving other areas with finite jobs gradually empty.

#### 3. Conclusions

We have introduced an aggregate growth model with job-creation rate, job-loss rate, and reversible migration rate via interaction into the job markets. By studying the kinetic behavior of native and immigrant job markets, we obtain some results about job migration during a certain finite time period.

Under the assumption that rate of job loss for native and rate of job gain for immigrants equal each other: , we can divide the solution of the original rate equations into two cases. First, if the initial conditions and positive and negative migration rates satisfy , when time approaches , the total number of jobs for both native and immigrants increases exponentially. At the same time, the labor force becomes more concentrated for both groups as people tend to move to places with more job opportunities.

The second case takes place when the condition is met. As time goes to , the amount of jobs for both immigrants and natives grows exponentially as well. Moreover, the population of natives and immigrants starts to concentrate in limited cities. This leads to a map with people highly concentrated in cities and leaving other areas empty.

Through the analysis of the previous two cases, it is not hard to see that the results are consistent in both cases as immigrants bring a positive impact on native job markets. With the influx of immigrants, the positive impact dominates the migration rate of jobs. Our results are consistent with University of California, Berkeley's Professor David Card's finding that immigrants benefit the entire society by creating more jobs for both groups. This conclusion has meaningful implications for governmental policies. The analysis of this model helps explain the hotly debated immigration issue in economics and politics. Instead of putting stricter control on immigration or lowering the rate of immigration, some countries should think about the policies that encourage the inflow of immigrants since these immigrants actually have a positive impact on domestic job market.

#### References

- F. Leyvraz and S. Redner, “Scaling theory for migration-driven aggregate growth,”
*Physical Review Letters*, vol. 88, no. 6, Article ID 068301, 2002. View at: Google Scholar - M.-X. Song, Z.-Q. Lin, X.-D. Li, and J.-H. Ke, “Aggregation behaviors of a two-species system with lose-lose interactions,”
*Communications in Theoretical Physics*, vol. 53, no. 6, pp. 1190–1200, 2010. View at: Publisher Site | Google Scholar - J. M. Grogan, L. Rotkina, and H. H. Bau, “In situ liquid-cell electron microscopy of colloid aggregation and growth dynamics,”
*Physical Review E*, vol. 83, no. 6, Article ID 061405, 2011. View at: Publisher Site | Google Scholar - J. H. Ke, Z. Q. Lin, Y. Z. Zheng, X. S. Chen, and W. Lu, “Migration-driven aggregate growth on scale-free networks,”
*Physical Review Letters*, vol. 97, no. 2, Article ID 028301, 2006. View at: Google Scholar - R. Y. Sun, “Global stability of the endemic equilibrium of multigroup SIR models with nonlinear incidence,”
*Computers and Mathematics with Applications*, vol. 60, no. 8, pp. 2286–2291, 2010. View at: Publisher Site | Google Scholar - D. Dimitrov and C. Puppe, “Non-bossy social classification,”
*Mathematical Social Sciences*, vol. 62, no. 3, pp. 162–165, 2011. View at: Publisher Site | Google Scholar - Z. Q. Lin, J. H. Ke, and G. X. Ye, “Mutually catalyzed birth of population and assets in exchange-driven growth,”
*Physical Review E*, vol. 74, no. 4, Article ID 046113, 2006. View at: Google Scholar - K. Zhao, J. Stehlé, G. Bianconi, and A. Barrat, “Social network dynamics of face-to-face interactions,”
*Physical Review E*, vol. 83, no. 5, Article ID 056109, 2011. View at: Publisher Site | Google Scholar - K. Lu, Z.-Q. Lin, and Y.-F. Sun, “Kinetic behaviors of a competitive population and fitness system in exchange-driven growth,”
*Communications in Theoretical Physics*, vol. 50, no. 1, pp. 105–110, 2008. View at: Publisher Site | Google Scholar - I. Daitoh, “Productive consumption and population dynamics in an endogenous growth model: demographic trends and human development aid in developing economies,”
*Journal of Economic Dynamics and Control*, vol. 34, no. 4, pp. 696–709, 2010. View at: Publisher Site | Google Scholar - M. R. Gupta and P. B. Dutta, “Skilled-unskilled wage inequality and unemployment: a general equilibrium analysis,”
*Economic Modelling*, vol. 28, no. 4, pp. 1977–1983, 2011. View at: Publisher Site | Google Scholar - R. Hermsen and T. Hwa, “Sources and sinks: a stochastic model of evolution in heterogeneous environments,”
*Physical Review Letters*, vol. 105, no. 24, Article ID 248104, 2010. View at: Publisher Site | Google Scholar - R. E. Baker and M. J. Simpson, “Correcting mean-field approximations for birth-death-movement processes,”
*Physical Review E*, vol. 82, no. 4, Article ID 041905, 2010. View at: Publisher Site | Google Scholar - Q. Chang and J. Yang, “Monte Carlo algorithm for simulating reversible aggregation of multisite particles,”
*Physical Review E*, vol. 83, no. 5, Article ID 056701, 2011. View at: Publisher Site | Google Scholar - Y. Bramoullé and G. Saint-Paul, “Social networks and labor market transitions,”
*Labour Economics*, vol. 17, no. 1, pp. 188–195, 2010. View at: Publisher Site | Google Scholar - G. L. Wang, W. S. Tang, and R. Q. Zhao, “A birandom job search problem with risk tolerance,”
*Journal of Applied Mathematics*, vol. 2012, Article ID 161573, 12 pages, 2012. View at: Publisher Site | Google Scholar - G. Peri, “Rethinking the area approach: immigrants and the labor market in California,”
*Journal of International Economics*, vol. 84, no. 1, pp. 1–14, 2011. View at: Publisher Site | Google Scholar - C. Bayer and F. Juessen, “On the dynamics of interstate migration: migration costs and self-selection,”
*Review of Economic Dynamics*, vol. 15, no. 3, pp. 377–401, 2012. View at: Publisher Site | Google Scholar - R. Y. Sun, “Kinetics of jobs in multi-link cities with migration-driven aggregation process,”
*Economic Modelling*, vol. 30, pp. 36–41, 2013. View at: Google Scholar

#### Copyright

Copyright © 2013 Ruoyan Sun. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.