Non-Homothetic Multisector Growth Models

2015 ◽  
Vol 19 (2) ◽  
pp. 221-243
Author(s):  
Bjarne S. Jensen ◽  
Ulla Lehmijoki ◽  
Elena Rovenskaya
Keyword(s):  
Growth Models ◽  
Multisector Growth Models

Multisector Growth Models

2010 ◽  
Author(s):  
Terry L. Roe ◽  
Rodney B. W. Smith ◽  
D. Sirin Saracoglu
Keyword(s):  
Growth Models ◽  
Multisector Growth Models

DOES THE CAPITAL INTENSITY MATTER? EVIDENCE FROM THE POSTWAR JAPANESE ECONOMY AND OTHER OECD COUNTRIES

2012 ◽  
Vol 16 (S1) ◽  
pp. 103-116 ◽  
Author(s):  
Harutaka Takahashi ◽  
Koichi Mashiyama ◽  
Tomoya Sakagami
Keyword(s):  
Growth Models ◽  
Empirical Studies ◽  
Capital Intensity ◽  
Optimal Growth ◽  
Oecd Countries ◽  
Theoretical Research ◽  
Japanese Economy ◽  
Optimal Growth Models ◽  
Capital Intensive ◽  
Multisector Growth Models

The capital intensity takes an important role in two-sector and multisector growth models. Surprisingly very few empirical studies have been conducted so far except by Kuga (1967). This fact implies that few people have ever tried to perform any empirical research to study whether the two-sector and multisector optimal growth models could explain the economic development properly based on the empirical data. Although we witnessed fairly active theoretical research on two-sector and multisector growth models in the 1990s and recent years, R. M. Solow has thrown doubt on the capital intensities [in Philippe Aghion and Steven Durlauf (eds.),Handbook of Economic Growth, Vol. 1A (2005, pp. 3–10)]. Our purpose is to measure the capital intensities of the consumption good and the investment good sectors mainly in the postwar Japanese economy, and also in other OECD countries. By so doing, we will demonstrate that the capital intensity does matter and our empirical evidence will strongly support the common assumption that the consumption goods sector is more capital-intensive than the capital goods sector.

scholarly journals Mapping prices into productivity in multisector growth models

2009 ◽  
Vol 14 (3) ◽  
pp. 183-204 ◽  
Author(s):  
L. Rachel Ngai ◽  
Roberto M. Samaniego
Keyword(s):  
Growth Models ◽  
Multisector Growth Models

APPLICATION OF SPC AND GROWTH MODELS ON THE ECONOMIC TRAJECTORY OF THE LEATHER AND FOOTWEAR INDUSTRY

2020 ◽  
Author(s):  
Mario Lesina ◽  
Lovorka Gotal Dmitrovic
Keyword(s):  
Human Capital ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Charts ◽  
Growth Models ◽  
Pearson Correlation ◽  
Small Companies ◽  
Statistical Process ◽  
Production Staff ◽  
Footwear Industry

The paper shows the relation among the number of small, medium and large companies in the leather and footwear industry in Croatia, as well as the relation among the number of their employees by means of the Spearman and Pearson correlation coefficient. The data were collected during 21 years. The warning zone and the risk zone were determined by means of the Statistical Process Control (SPC) for a certain number of small, medium and large companies in the leather and footwear industry in Croatia. Growth models, based on externalities, models based on research and development and the AK models were applied for the analysis of the obtained research results. The paper shows using the correlation coefficients that The relation between the number of large companies and their number of employees is the strongest, i.e. large companies have the best structured work places. The relation between the number of medium companies and the number of their employees is a bit weaker, while there is no relation in small companies. This is best described by growth models based on externalities, in which growth generates the increase in human capital, i.e. the growth of the level of knowledge and skills in the entire economy, but also deductively in companies on microeconomic level. These models also recognize the limit of accumulated knowledge after which growth may be expected. The absence of growth in small companies results from an insufficient level of human capital and failure to reach its limit level which could generate growth. According to Statistical Process Control (SPC), control charts, as well as regression models, it is clear that the most cost-effective investment is the investment into medium companies. The paper demonstrates the disadvantages in small, medium and large companies in the leather and footwear industry in Croatia. Small companies often emerge too quickly and disappear too easily owing to the employment of administrative staff instead of professional production staff. As the models emphasize, companies need to invest into their employees and employ good production staff. Investment and support to the medium companies not only strengthens the companies which have a well-arranged technological process and a good systematization of work places, but this also helps large companies, as there is a strong correlation between the number of medium and large companies.

Sign in / Sign up

Export Citation Format

Share Document