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Income distribution management to sustain long-term economic growth: does the equalization of income distribution contribute to long-term economic growth?

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Abstract

I investigate income distribution management to sustain long-term economic growth. In this paper, I will use a simulation model in which the three dynamics undertake control or inducement with each other. It is a system for inter-system control that takes control or inducement over a virtual social system composed of the replicator dynamics. The simulation results in this paper indicate the following two points: First, the remarkable process of a unidirectional shift—from a society where the income is highly concentrated to a society where the income is evenly distributed, and vice versa—was not observed. As far as the model structure in this paper is concerned, income distribution is independent from long-term economic growth. Second, the management of the income distribution ratio enables the promotion of the growth driven by the replacement of the existing technology with new knowledge stock. In a society where the income is evenly distributed, consumer demand promotes growth by increasing the evenness in the growth phase, while in the sluggish phase, the temporary concentration of the income enables the creation of a new growth course by inducing technological change brought about by the investment demand. In countries where the income is not highly concentrated, most of which operate on the basis of a market economy, the consumer demand-driven economic policy is effective. On the other hand, in a society where the income is highly concentrated, the investment demand promotes growth by increasing the concentration in the growth phase, while in the sluggish phase, a temporary equalization of the distribution enables the creation of a new growth course by inducing a technological change brought about by consumer demand.

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Source: OECD

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Notes

  1. The simulation program for this paper was developed using Mathematica10.

  2. Refer to “Appendix A” for how to set the initial values of the abovementioned variables.

  3. The control of the distribution rate has real significance after undertaking a relative comparison between the complete concentration and the completely even distribution. The separate simulation calculated as a benchmark in the previous section does not completely describe the characteristics of the income distribution.

  4. As shown in the results of “Appendix B”, under some of the initial values of income distribution (0.1, 0.2, and 0.4), a process was observed whereby the Gini coefficient decreases in the long term.

  5. Deguchi (2000) developed this Indirect Control System model. In standard replicator dynamics (RD), the agents are assumed to be related and interact through random matching, however Deguchi successfully re-configured it as learning dynamics in terms of the agent’s attitude change regarding the alternative after establishing the foundation by using the Markov process, which configures the selection of an alternative in RD as a transition probability. Thanks to this work, RD are now free from the restriction of the assumption of random matching, which was a bottleneck in the application fields of economic phenomena. In addition, it enables the description of not only a direct interactive relationship depending on the existence ratio of the agent, but an indirectly influencing relationship by mutually referring to information about the gain in RD, and now a system can be described regardless of the configuration of RD. The configuration of the indirect control model, which also covers the relationship between the RDs, helped to dramatically broaden its field of application.

  6. In this paper, based on Scherer (1999), a skewed distribution that shows a certain level of concentration of high reward on some entities is configured by setting a = 1.8 and c = 9.4.

  7. From the relationship between a business company and a financial institution that selected the same alternative, the total value of production in the current term can be calculated since they can share the same information on the selected ratio of the knowledge stock in the current term. When they select different alternatives, on the other hand, it is considered that only the total value of production in the previous term can be calculated, since they cannot share the information on the situation in the current term.

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Sakaki, S. Income distribution management to sustain long-term economic growth: does the equalization of income distribution contribute to long-term economic growth?. Evolut Inst Econ Rev 14, 363–395 (2017). https://doi.org/10.1007/s40844-017-0079-0

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