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The process which is accepted as an industrial revolution in economics literature has two important features as the starting point. The first one is the completion of the evolutionary process of economics, so the summit and the second one is the turning point in the history of the world. The alteration and transformation that started with the First Industrial Revolution became the beginning of a process that extended many years. The most important observation among the industrial revolutions discussed today as 4.0 is the progressive abbreviation of the time between revolutions. The revolutionary dissertation, of course, has logic when it is thought that the transformation is a necessity mechanism. But the abbreviation of the time between the industrial change processes allows the argumentation of the idea of revolution so the developing humanity history faces new needs. This is a controversy about the motion of the revolutionary process into a dynamic process from another point of view. The motion process is everything that exists is in constant change. Motion occurs in an infinite variety, just like unlimited needs. The motion process can be described as an attempt to explain the contradictions that take each change into unlimited desires when viewed from an economic viewpoint. In this study, the evolution of industrial transformation processes involves the comparison of the resulting revolution with the concept of motion that feeds change processes. [ABSTRACT FROM AUTHOR]

The industrial sector is one of the most important factors showing the economic power of a country. The high level of employment in this area indicates that the country has developed in the industrial sector and that this sector plays a role in economic development. The purpose of this study, to examine the relationship between economic growth and employment in the industrial sector in Turkey with the econometrics methods and to determine the direction of the relationship. Our study includes the years 1991-2017. As econometrics method, ARDL (Auto Regressive Distributed Lag Models) cointegration method and Granger causality test were applied. According to findings from the ARDL cointegration analysis, there is a long-run relationship between employment growth in the industrial sector and economic. According to the Granger Causality Test, one-way causality has occurred from employment in the industrial sector to economic growth. [ABSTRACT FROM AUTHOR]