scholarly journals Industry Concentration, Knowledge Diffusion and Economic Growth Without Scale Effects

Economica ◽  
2015 ◽  
Vol 82 (328) ◽  
pp. 769-789 ◽  
Author(s):  
Colin Davis ◽  
Ken-Ichi Hashimoto
2002 ◽  
Vol 3 (3) ◽  
pp. 339-346 ◽  
Author(s):  
Lutz G. Arnold

Abstract Standard R&D growth models have two disturbing properties: the presence of scale effects (i.e., the prediction that larger economies grow faster) and the implication that there is a multitude of growth-enhancing policies. Recent models of growth without scale effects, such as Segerstrom's (1998), not only remove the counterfactual scale effect, but also imply that the growth rate does not react to any kind of economic policy. They share a different disturbing property, however: economic growth depends positively on population growth, and the economy cannot grow in the absence of population growth. The present paper integrates human capital accumulation into Segerstrom's (1998) model of growth without scale effects. Consistent with many empirical studies, growth is positively related not to population growth, but to investment in human capital. And there is one way to accelerate growth: subsidizing education.


2015 ◽  
Vol 05 (02) ◽  
pp. 169-178 ◽  
Author(s):  
Masao Nakagawa ◽  
Asuka Oura ◽  
Yoshiaki Sugimoto

2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Óscar Afonso

This paper highlights some recent components related to the endogenous growth literature; in particular, (i) research and development progress, direction, and diffusion; (ii) human-capital accumulation; (iii) wage inequality; (iv) nonscale economic growth, showing how each one has been treated by the existing seminal literature and the expected impact of bringing them together. The connection of the different components is mainly done by involving the leading literature on North-South technological-knowledge diffusion by imitation under trade, and the prevailing literature on intra- and intercountry wage inequality.


2021 ◽  
Vol 1 (2) ◽  
pp. 29
Author(s):  
Nabilla Dina Adharina ◽  
Puri Seruni

<div><table cellspacing="0" cellpadding="0"><tbody><tr><td align="left" valign="top"><p class="Abstract"><em><span lang="EN-US">Pentingnya peran inovasi dalam mendorong pertumbuhan ekonomi menekankan kebutuhan lokal dan wilayah untuk menciptakan lingkungan yang nyaman bagi perkembangan inovasi. Klaster industri, melalui kedekatan spasialnya menjanikan lingkungan yang dapat memelihara perkembangan inovasi. Namun, menggunakan kasus klaster industri Sarung Majalaya, dengan pendekatan deduktif dan metode kualitatif, penelitian ini mendapatkan bahwa kedekatan spasial bukan satu-satunya faktor yang mendorong terjadinya inovasi. Terdapat faktor-faktor non-fisik yang memiliki peran penting di dalam proses difusi pengetahuan, yaitu proses yang menghasilkan inovasi. Faktor tersebut adalah kemampuan dalam memperoleh, mengasimilasi, dan transformasi pengetahuan baru. Kemampuan tersebut mewakili kemampuan serap atau daya serap dalam proses difusi pengetahuan. Keterbatasan kemampuan individu, kolektif, dan lingkungan pada kapasitas tersebut menyebabkan proses difusi pengetahuan terhambat dan inovasi tidak berkembang di dalam klaster industri Sarung Majalaya. Sebagai pertimbangan kebijakan, mendorong inovasi dalam klaster dapat dilakukan melaui pengembangan infrastruktur, baik infrastruktur dasar serta infrastruktur di bidang penelitian dan pengembangan yang berkaitan dengan industri di dalamnya. Selain itu, adaptasi kolektif juga ternyata penting dalam proses difusi pengetahuan sehingga kapasitas sosial pelaku ekonomi di dalam kawasan perlu diderkuat. </span></em></p><div><table cellspacing="0" cellpadding="0"><tbody><tr><td align="left" valign="top"><p class="Abstract"><em><span lang="EN-US">The importance of innovation in driving economic growth emphasizes the need for local and regional to create a convenient environment for innovation development. Industrial cluster, through spatial proximity, promises the environment nurturing innovation. However, by using industrial klaster of Sarung Majalaya, incorporating a deductive approach and qualitative method, this study found that spatial proximity is not the only factor promoting innovation. There are non physical factors playing important role in a process named knowledge diffusion which creates innovation. They are the capacities of knowledge acquirement, knowledge assimilation, and knowledge transformation which represent the absortive capacity in knowledge diffusion. As a policy consideration, promoting innovation within cluster can be conducted by developing basic infrastructure as well as research and development infrastructure. Furthermore, collective adaptation also plays an important role in the process of knowledge diffusion hence social capacity in the cluster should be strengthened.  </span></em></p></td></tr></tbody></table></div><p class="Abstract"><em><span lang="EN-US"><br /></span></em></p><p class="Abstract"><em><span lang="EN-US"><br /></span></em></p></td></tr></tbody></table></div>


2019 ◽  
Vol 11 (19) ◽  
pp. 5399 ◽  
Author(s):  
Jinfu Xu ◽  
Ruoyu Yang

Based on the panel data of 30 provinces and cities in China from 2008 to 2017, this paper empirically analyzes the current situation of the development of China’s sports industry and the impact of the concentration of sports industry on green economic growth by using the exploratory spatial data analysis method (ESDA), static panel model and dynamic panel model. The empirical results show that the sports industry in the southeast coastal provinces of China has a good foundation for concentration. The sports industry concentration in the provinces along the Yangtze River Economic Belt is in the stage of rapid development. The development of sports industry concentration has obvious positive spatial aggregation characteristics, and the spatial spillover effect is obvious; The concentration of sports industry has a significant influence on green economic growth, which expresses the “inverted U-type” relationship. There are significant differences in influence between regions, which show the greatest influence in the middle, followed by the east and the smallest in the west.


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