The Korean Innovation System: From Industrial Catch-Up to Technological Leadership?

Author(s):  
Martin Hemmert
Author(s):  
Marco Flávio Cunha Resende ◽  
Vitor Leone ◽  
Daniele Almeida Raposo Torres ◽  
Simeon Coleman

In the balance-of-payments-constrained growth model literature, income elasticities (IEs) are considered as the crucial element determining a country's long-run growth rate. Although the extant literature accepts that technology matters for IEs magnitude, explanations linking technology and IEs magnitude are limited. In this paper, we make use of the National Innovation System (NIS) concept from the Evolutionary School to explain the channels through which the size of a country's IEs is influenced by the level of development of its NIS, which in turn is a channel through which the non-price competitiveness factors work. Additionally, we empirically test the hypothesis that the catch-up allowed by NIS developments achieved in South Korea and Hong Kong improved their IEs over the 1980–1995 period. Our empirical results suggest a link between the level of NIS development and the size of the IEs.


2020 ◽  
Vol 12 (5) ◽  
pp. 2049
Author(s):  
Mohammad Esmailzadeh ◽  
Siamak Noori ◽  
Alireza Aliahmadi ◽  
Hamidreza Nouralizadeh ◽  
Marcel Bogers

For developing countries to catch up, it is vital that they develop emerging technologies and the system that supports that development. The literature suggests developing a technological innovation system (TIS) framework to investigate the development of technologies in a country. Nonetheless, most of this research focuses on developed countries without taking into account developing countries. Therefore, in this paper, we have two main goals. First, reviewing the indicators introduced to the functional analysis of TISs and modifying these indicators based on developing countries’ circumstances. Second, applying this framework to the specific case of Iran’s renewable energy program by using these indicators for analyzing Iran’s photovoltaic TIS to identify the problems. Accordingly, we review indicators used for a functional analysis by considering the needs of developing countries, and we propose a list of indicators that can be used for assessing functions in developing countries’ TISs. The results show that, to evaluate some functions of TIS, we need to use new indicators in developing countries. Finally, we propose some policy recommendations to tackle these functional problems.


2021 ◽  
Author(s):  
Sungyong Chang ◽  
Hyunseob Kim ◽  
Jaeyong Song ◽  
Keun Lee

We examine the role of latecomers’ optimal resource allocation between innovation and imitation in latecomers’ catch-up under diverse technological regimes. Building on Nelson and Winter (1982), we develop computational models of technological leadership change. The results suggest that one-sided dependency upon either imitation or innovation deters technological leadership change. At an early stage with low-level technologies, latecomers should focus on imitation; then, as the technological gap decreases, they should allocate more R&D resource to innovation. We also examine the role of several variables, such as appropriability, cumulativeness, and cycle time of technologies (CTT), as related to technological regimes. The simulation results show that while low appropriability tends to increase the probability of technological leadership change, it makes imitation a more e˙ective strategy compared to innovation; in addition, while a higher level of cumulativeness tends to reduce the probability of leadership change, it makes imitation a more valuable option because innovation becomes more diÿcult for latecomers. We also find an inverted U-shaped relationship between the CTT and the probability of technological leadership change. When the CTT is short, it makes sense for latecomers to allocate more resources to imitation, especially when their technology level is initially low.


Author(s):  
Christian Binz ◽  
Jorrit Gosens ◽  
Xiao-Shan Yap ◽  
Zhen Yu

Abstract The literature on catch-up cycles has not yet systematically conceptualized how catch-up dynamics differ between the various industries that are emerging in the green techno-economic paradigm. We address this gap by connecting catch-up cycle theory with an industry typology from global innovation systems (GISs) literature, which distinguishes four generic industry types with footloose, spatially sticky, market-, and production-anchored innovation system characteristics. Catch-up patterns in early industry lifecycle stages are expected to systematically differ between these four industry types. This assumption is explored based on a comparative case study of the solar photovoltaics, wind power, solar water heaters, and membrane bioreactors industries, each of which exemplifies one of the four generic GIS configurations. We find that the speed and disruptiveness of early leadership changes differ significantly between the four industries, and that the effectiveness of capability upgrading strategies and catching-up policies are contingent on the innovation and valuation characteristics of each industry’s underlying GIS type.


2016 ◽  
Vol 2016 (1) ◽  
pp. 14403
Author(s):  
Sungyong Chang ◽  
Hyunseob Kim ◽  
Jaeyong Song ◽  
Keun Lee

Nova Economia ◽  
2020 ◽  
Vol 30 (spe) ◽  
pp. 1089-1114
Author(s):  
Renato Garcia ◽  
Ulisses Pereira dos Santos ◽  
Wilson Suzigan

Abstract The aim of this paper is to analyze the role of industrial policy in promoting technological upgrading in Brazil. To do that, we focus on the main characteristics of the Brazilian national innovation system and the role of its institutions. We examine whether industrial policy implemented between 2003 and 2014 was able to promote changes in agents’ conventions towards more vigorous strategies linked to technological upgrading and catch-up. In addition, we analyze the Brazilian mining industry, a sector in which Brazil has developed relevant competitive advantages in international markets, and in which domestic agents have built important operational capabilities. Main results show the huge difficulties faced by industrial policy efforts in establishing mechanisms to drive technological catch-up, based on the unsuccessful experiences of policies in the years 2002 to 2014. The specific experience of the Brazilian mining industry confirms these general findings, since domestic mining companies were not able to create new technological capabilities, even during the commodity price boom period.


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