Geograffa del Crecimiento Econnmico y del (Sub) Desarrollo Cienttfico, Tecnollgico y de Innovaciin Regional en MMxico (Geography of Economic Growth and Underdevelopment of Science, Technology and Regional Innovation in Mexico)

2013 ◽  
Author(s):  
Isaac Leobardo Sanchez Juarez ◽  
Rosa Marra Garcca Almada
2021 ◽  
pp. 016001762110187
Author(s):  
Hyunha Shin ◽  
Junseok Hwang

Korea has pursued a cluster-based policy to increase industrial competitiveness and to alleviate development gaps between the regions. However, local governments have often oversupplied clusters without an objective examination of the demands and conditions in the regions. Based on these concerns, this study analyses effects and interdependencies of factors related to regional innovation and growth in Korea. Employing a PCA method and a GLS regression models on panel data, we generated three composite factors, social, capacity, and clustering, and estimated their effects on regional economic performance. The results show that it is important to have a favorable socio-economic setting to foster growth by clusters. In addition, cluster-based policies may have weaker effects than expected, because the effect of R&D capacity on regional growth was stronger and longer lasting. Finally, some specific elements that most affected economic growth in Korea’s regions are identified. The overall results indicate favorable environments should be established beforehand to foster regional growth with clusters, which confirms “jobs follow people.”


2005 ◽  
Vol 2 (3) ◽  
Author(s):  
Sarah E. Hilmer

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.


Author(s):  
Ioana Alexandra Onea

AbstractThe purpose of this paper is to present an overview of the theoretical connection between key terms such as innovation indicators and entrepreneurship, highlighting the main trends of innovative activities and practices in the context of Romanian small and medium enterprises. Innovation management has gained an increased interest nowadays since it provides tools for creating competitive advantage and economic growth for enterprises. In this sense, at global and European Union level, innovation indicators have been identified in order to measure the efficiency of innovation. In addition, innovation and entrepreneurship have been connected by scholars, since their application provides business opportunities. Starting from the Europe 2020 Strategy that has innovation as a pillar for reaching economic growth, the present study provides a descriptive analysis of the Regional Innovation Scoreboard 2019 report, followed by a comparative analysis of the European Innovation Scoreboard reports published in the last 5 years. The present paper contributes to the existing knowledge regarding the actual application of innovation indicators in Romanian SMEs. The paper provides an answer to the research questions, which focus on depicting what are the exact innovation indicators that characterize the activities of Romanian SME and what are the trends and weaknesses in the actual business environment in terms of innovative endeavors. This paper provides some recommendations in terms of improvement of innovative efforts for the enterprises that operate in the Romanian market.


2014 ◽  
Vol 6 (4) ◽  
pp. 329-347 ◽  
Author(s):  
Wentao Yu ◽  
Jin Hong ◽  
Yunhao Zhu ◽  
Dora Marinova ◽  
Xiumei Guo

Author(s):  
Cristina Chaminade ◽  
Bengt-Åke Lundvall

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.


2010 ◽  
Vol 40 (2) ◽  
pp. 319-340 ◽  
Author(s):  
Leonardo Costa Ribeiro ◽  
Ricardo Machado Ruiz ◽  
Américo Tristão Bernardes ◽  
Eduardo da Motta e Albuquerque

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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