On Grey Incidence Model Application about Chinese Economic Growth and Science Technology Input

2010 ◽  
Author(s):  
Jingyu Liu
Keyword(s):  
Economic Growth ◽  
Model Application ◽  
Science Technology

Biotechnology Law in The Socialist Republic of Vietnam

2005 ◽  
Vol 2 (3) ◽  
Author(s):  
Sarah E. Hilmer
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
National Economy ◽  
Agricultural Production ◽  
Economic Liberalization ◽  
Structural Reforms ◽  
Socialist Republic ◽  
Communist State ◽  
Science Technology ◽  
The People

IntroductionThe communist state of Vietnam with its currently 64 provinces (tinh) and 5 municipalities (thu do), experienced little economic growth over the last two decades. This was a result of the more conservative leadership policies in the country. However, since 2001 Vietnamese authorities have committed to economic liberalization, whereby structural reforms were enacted, as well as the economy was modernized and the country produced more competitive, export-driven industries.With a population of approximately 82,689,518, over 70 % of the people are involved in agricultural production, such as paddy rice, corn, potatoes, rubber, soybeans, coffee, tea, bananas, sugar; pigs, and fish. Other active development of the country, besides agriculture, is considered to be industry with its imports and exports. The growth rate of the national economy is estimated of 7.2 % on average, and investments for science, technology and environmental protection can be seen as the major reasons of economic growth.

Science, Technology, and Innovation Policy: Old Patterns and New Challenges

2019 ◽  
Author(s):  
Cristina Chaminade ◽  
Bengt-Åke Lundvall
Keyword(s):  
Economic Growth ◽  
Social Inclusion ◽  
Market Failure ◽  
Innovation Policy ◽  
Global Knowledge ◽  
Critical Question ◽  
Scientific Advance ◽  
Technology And Innovation ◽  
Science Technology ◽  
Science Technology And Innovation

Scientific advance and innovation are major sources of economic growth and are crucial for making development socially and environmentally sustainable. A critical question is: Will private enterprises invest sufficiently in research technological development and innovation and, if not, to what degree and how should governments engage in the support of science, technology, and innovation? While neoclassical economists point to market failure as the main rationale for innovation policy, evolutionary economists point to the role of government in building stronger innovation systems and creating wider opportunities for innovation. Research shows that the transmission mechanisms between scientific advance and innovation are complex and indirect. There are other equally important sources of innovation including experience-based learning. Innovation is increasingly seen as a systemic process, where the feedback from users needs to be taken into account when designing public policy. Science and innovation policy may aim at accelerating knowledge production along well-established trajectories, or it may aim at giving new direction to the production and use of knowledge. It may be focused exclusively on economic growth, or it may give attention to impact on social inclusion and the natural environment. An emerging topic is to what extent national perspectives continue to be relevant in a globalizing learning economy facing multiple global complex challenges, including the issue of climate change. Scholars point to a movement toward transformative innovation policy and global knowledge sharing as a response to current challenges.

scholarly journals Modeling economic growth fuelled by science and technology

2010 ◽  
Vol 40 (2) ◽  
pp. 319-340 ◽  
Author(s):  
Leonardo Costa Ribeiro ◽  
Ricardo Machado Ruiz ◽  
Américo Tristão Bernardes ◽  
Eduardo da Motta e Albuquerque
Keyword(s):  
Economic Growth ◽  
Science And Technology ◽  
Science Technology ◽  
The World ◽  
Scientific Papers ◽  
World Income ◽  
World Income Distribution ◽  
Wealth Of Nations ◽  
Simulation Exercises

This paper suggests a simulation model to investigate how science and technology fuel economic growth. This model is built upon a synthesis of technological capabilities represented by national innovation systems. This paper gathers data of papers and patents for 183 countries between 1999 and 2003, as well as GDP and population for 2003. These data show a strong correlation between science, technology and income. Three simulation exercises are performed. Feeding our algorithm with data for population, patents and scientific papers, we obtain the world income distribution. These results support our conjecture on the role of science and technology as sources of the wealth of nations.

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