Policy Analysis in Technical Education

2021 ◽  
pp. 134-168
Author(s):  
Sanjay Soni ◽  
Basant Kumar Chourasia
Keyword(s):  
Policy Analysis ◽  
Dynamic System ◽  
Education System ◽  
Technical Education ◽  
Standard Of Living ◽  
System Model ◽  
Economic Progress ◽  
Dynamic System Model

Higher technical education is one of the indicators of national growth. Higher technical education of the country is responsible for its global progress in technology and standard of living as technical advancement helps to make the country economically progressive as the availability of quality technical staff attracts global entrepreneurs who, in turn, increase the revenue of the nation and therefore the higher technical education system is the backbone of the country's economic progress. In the present research paper, India's higher technical education system is being studied, which is currently undergoing uneven expansion due to the implementation of the various policies responsible for this plethora of expansion. The main objectives of this study are to improve the quality of higher technical education by developing a dynamic system model by incorporating some of the important parameters of higher technical education system stakeholders to test various long-term policies that can improve the quality of higher technical education.

scholarly journals MODEL DINAMIS SISTEM KETERSEDIAAN DAGING SAPI NASIONAL

2011 ◽  
Vol 12 (1) ◽  
pp. 128 ◽  
Author(s):  
Harmini Harmini ◽  
Ratna Winandi Asmarantaka ◽  
Juniar Atmakusuma
Keyword(s):  
Computer Program ◽  
Dynamic System ◽  
Artificial Insemination ◽  
System Model ◽  
Percentage Error ◽  
National Program ◽  
Cross Breeding ◽  
Self Sufficiency ◽  
Innovative Solution ◽  
Dynamic System Model

The purpose of this paper is to assess whether the national program on beef self sufficiency could be achieved at 2014. A dynamic system model with Vensim computer program is applied. The model validated by Mean Absolute Percentage Error. The results shows high accuracies of the model. The assessment show that, first, the beef self sufficiency would not be achieved at 2014 if the program are treated and running as usual (Scenario I). Second, the beef self sufficiency would be achieved at 2015 if government increase the cow population by reducing the slaughter of local cows and expanding the cross breeding program through artificial insemination (Scenario II). Third, the beef self sufficiency would not be achieved at 2014 if the actual beef consumption are higher than the supply that produce through Scenario II (Scenario III). Another innovative solution for increasing local cow population is needed.

A dynamic system model of testosterone transport and metabolism in normal man

1974 ◽  
Vol 2 (3) ◽  
pp. 307-320 ◽  
Author(s):  
Marlene T. Mayekawa ◽  
Joseph J. DiStefano ◽  
Ronald S. Swerdloff
Keyword(s):  
Dynamic System ◽  
System Model ◽  
Normal Man ◽  
Dynamic System Model

scholarly journals Biological Measures of the Standard of Living

2008 ◽  
Vol 22 (1) ◽  
pp. 129-152 ◽  
Author(s):  
Richard H Steckel
Keyword(s):  
Quality Of Life ◽  
Psychological Health ◽  
Well Being ◽  
Standard Of Living ◽  
Socioeconomic Differences ◽  
Future Evolution ◽  
Material Goods ◽  
Long Term Trends

When economists investigate long-term trends and socioeconomic differences in the standard of living or quality of life, they have traditionally focused on monetary measures such as gross domestic product—which has occupied center stage for over 50 years. In recent decades, however, scholars have increasingly recognized the limitations of monetary measures while seeking useful alternatives. This essay examines the unique and valuable contributions of four biological measures—life expectancy, morbidity, stature, and certain features of skeletal remains—to understand levels and changes in human well-being. People desire far more than material goods and in fact they are quite willing to trade or give up material things in return for better physical or psychological health. For most people, health is so important to their quality of life that it is useful to refer to the “biological standard of living.” Biological measures may be especially valuable for historical studies and for other research circumstances where monetary measures are thin or lacking. A concluding section ruminates on the future evolution of biological approaches in measuring happiness.

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