Economy-wide Learning: A Comparative Study of Manufacturing and Non-manufacturing Sectors in Japan | Chapter 1 | Emerging Issues and Development in Economics and Trade Vol.4

In knowledge economies, building technological capability is a continuous process and unarguably key to industrial policy development. Learning [by-doing in the industry] has been linked to a reduction in unit labor cost and overall production cost of goods and services. In this study, we comparatively studied the learning pattern of the Japanese manufacturing and service sector using industrial-leveldata. This study is perhaps the first attempt to comparatively study the productivity of the Japanese industry using the learning curve at the aggregate level. Looking back to almost 4 decade-long (19802017) of financial input-output data, we estimated the trend in technological learning using various learning models, calculated the annual progress ratios (via production function imputed in log-linear & cubic model) and revealed the dynamic technological learning across the two sectors at the aggregate level. This enabled us to identify years with good learning rates which are synonymous with costsaving across the two sectors of the economy. The results show that, while learning was restored and sustained in the services sector of the economy in the last decade, the same cannot be said about the manufacturing sector where learning (cost-saving ability) was completely lost. We conclude that (1) as typical of advance economy, Japan is now a service-oriented economy with manufacturing playing a complementary role, (2) the service sector may have benefited from advances in technologies and innovations from the manufacturing to achieve higher productivity at a lower cost.

Author(s) Details

Joseph Junior Aduba
Graduate School of Economics, Ritsumeikan University, Japan.

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Application of Modeling Techniques | Book Publisher International

Models are a valuable tool in various areas of knowledge and of course within the technology industry, they constitute strong support during the task of transmitting knowledge in a classroom, in addition to supporting the compression and construction of reality, as they represent characteristics of a relevant situation in a given topic.

The types of models available today, are perhaps essential to develop certain activities, autonomous vehicles, smart homes, security cameras among many other applications that make use of reference models that support the development of new ideas.

This work shows some of the main challenges are shared in models that the current academic population requires to reach that vision of generating new ideas or innovative changes in the IT industry.

In this context, the models refer to special topics and which are tools to learn to develop analysis, logical-mathematical and innovative skills that will contribute to increase knowledge and solve current challenges.

Technological innovation is a priority to be competent, so it is essential that the technology is intuitive and user-friendly and responds to their interests, and it is also necessary to incorporate artificial intelligence, algorithm and image information processing or texts add value to education and business

Author(s) Details

Silvia Soledad Moreno Gutiérrez
Autonomus University of the State of Hidalgo, Mexico.

Nubia Belzabet Pérez Olguín        
Autonomous University of the State of Hidalgo- Superior School of Tlahuelilpan, Av. University without number, Tlahuelilpan, Hidalgo., 42780, Mexico.

Héctor D. Molina-Ruiz
Sciences Institute, Autonomous University of Hidalgo, Mexico.

Heydy Castillejos-Fernández       
Sciences Institute, Autonomous University of Hidalgo, Mexico.

Mónica García-Munguía
College of Tlahuelilpan, Autonomous University of Hidalgo State, Tlahuelilpan de Ocampo, Hidalgo, Mexico. 

José Luis Alvarado Reséndiz
College of Tlahuelilpan, Autonomous University of Hidalgo State, Tlahuelilpan de Ocampo, Hidalgo, Mexico.

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