scholarly journals Innovation as a Determinant of Growth in Outperforming Emerging Markets: An Analysis of South Korea

2021 ◽  
Vol 13 (18) ◽  
pp. 10241
Author(s):  
Tina Maria Hintringer ◽  
Vito Bobek ◽  
Franko Milost ◽  
Tatjana Horvat

Emerging economies and their speed of growth, competitiveness, and resilience are of great interest globally due to the high potential investors see in them. Innovation is one of the factors recognized to be the common ground of significantly outperforming economies. Therefore, identifying innovation benchmarks and how they impact economic success is relevant for a more straightforward evaluation of innovation in a country. This research focuses on the quantitative parts of innovation. Firstly, governmental interference, knowledge flows and networks, cultural and societal preconditions, and openness towards change are identified as notably relevant innovation enhancing factors in South Korea through case study analyses. Then, an analysis of the impact of quantitative innovation factors on the GDP in South Korea is conducted. The impact of quantifiable innovation factors, identified through literature review, on the GDP as the benchmark for economic growth is tested from 1995 until 2018 through a linear, multiple least squares regression to identify significant relationships between the chosen variables. Two out of five selected quantitative innovation factors have a statistically significant impact on the economic growth in the used model. The number of researchers per million people and the patent grants of residents is identified to be impactful innovation benchmarks.

2006 ◽  
Vol 39 (2) ◽  
pp. 265-281 ◽  
Author(s):  
Tomas Larsson

This article explains why massive political corruption appears to be incompatible with economic growth in Russia but compatible with very rapid economic growth in China. The common assumption is that corruption is bad for economic performance. So how can we explain the puzzling contrast between Russia and China? Is Russia being more severely “punished” for its corruption than China? If so, why? This article demonstrates that three intervening factors—comparative advantage, the organization of corruption, and the nature of rents—determines the impact of corruption on economic performance, and that these factors can explain the divergent outcomes. The article thereby offers an alternative to statist explanations of the Russia-China paradox.


Jurnal Office ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Samuel Randy Tapparan ◽  
Abdul Wahab

The increasing number of regions proposing themselves to form new autonomous regions since the enactment of Law Number 32 of 2004 concerning "Regional Government", aims to improve economic development and the welfare of the people in each region. The purpose of this study was to analyze the impact of regional expansion on the economic growth of North Toraja Regency. The Technik of data collection in this study uses the documentary Technik, which is in the form of reports from relevant agencies. The analysis technique used is by using the independent sample T-test. The results of the study show that regional expansion has an impact on the economic growth of North Toraja Regency.


2018 ◽  
Vol 54 (1) ◽  
pp. 1-15 ◽  
Author(s):  
L. G. Burange ◽  
Rucha R. Ranadive ◽  
Neha N. Karnik

The article analyses a causal relationship between trade openness and economic growth for the member countries of BRICS by using an econometric technique of time series analysis. Member countries of BRICS adopted a series of liberalization reforms, almost simultaneously, from the late 1980s. The article attempts to study the impact of trade openness on their growth in GDP per capita. It captures structural composition of GDP and openness of trade in four aspects, that is, merchandise exports, merchandise imports, services export and services import. In India, the study found growth-led trade in services hypothesis. The article supports the growth-led export and growth-led import hypothesis for China and export- and import-led growth for South Africa. However, no causal relationship was evident for Brazil and Russia. JEL Codes: F43, C22


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aaqib Sarwar ◽  
Muhammad Asif Khan ◽  
Zahid Sarwar ◽  
Wajid Khan

Purpose This paper aims to investigate the critical aspect of financial development, human capital and their interactive term on economic growth from the perspective of emerging economies. Design/methodology/approach Data set ranged from 2002 to 2017 of 83 emerging countries used in this research and collected from world development indicators of the World Bank. The two-step system generalized method of moments is used to conduct this research within the endogenous growth model while controlling time and country-specific effects. Findings The findings of the study indicate that financial development has a positive and significant effect on economic growth. In emerging countries, human capital also has a positive impact on economic growth. Financial development and human capital interactively affect economic growth for emerging economies positively and significantly. Research limitations/implications The data set is limited to 83 emerging countries of the world. The time period for the study is 2002 to 2017. Originality/value This research contributes to the existing literature on human capital, financial development and economic growth. Limited research has been conducted on the impact of financial development and human capital on economic growth.


2019 ◽  
Vol 11 (24) ◽  
pp. 7038 ◽  
Author(s):  
Jihye Han ◽  
Soyoung Park ◽  
Seongheon Kim ◽  
Sanghun Son ◽  
Seonghyeok Lee ◽  
...  

In this study, we performed seismic vulnerability assessment and mapping of the ML5.8 Gyeongju Earthquake in Gyeongju, South Korea, as a case study. We applied logistic regression (LR) and four kernel models based on the support vector machine (SVM) learning method to derive suitable models for assessing seismic vulnerabilities; the results of each model were then mapped and evaluated. Dependent variables were quantified using buildings damaged in the 9.12 Gyeongju Earthquake, and independent variables were constructed and used as spatial databases by selecting 15 sub-indicators related to earthquakes. Success and prediction rates were calculated using receiver operating characteristic (ROC) curves. The success rates of the models (LR, SVM models based on linear, polynomial, radial basis function, and sigmoid kernels) were 0.652, 0.649, 0.842, 0.998, and 0.630, respectively, and the prediction rates were 0.714, 0.651, 0.804, 0.919, and 0.629, respectively. Among the five models, RBF-SVM showed the highest performance. Seismic vulnerability maps were created for each of the five models and were graded as safe, low, moderate, high, or very high. Finally, we examined the distribution of building classes among the 23 administrative districts of Gyeongju. The common vulnerable regions among all five maps were Jungbu-dong and Hwangnam-dong, and the common safe region among all five maps was Gangdong-myeon.


2010 ◽  
Vol 25 (3) ◽  
pp. 405-433 ◽  
Author(s):  
TINE DE MOOR

ABSTRACTIn this article the participation profile of commoners of a Flemish case-study is reconstructed in order to identify their individual motivations for using the common, in some cases even becoming a manager of that common, in some cases only just claiming membership. Nominative linkages between membership lists, book-keeping accounts and regulatory documents of the common on the one hand and censuses and marriage acts on the other allow us to explain the behaviour of the commoners. It becomes clear why some decisions were taken – for example, to dissolve a well-functioning cattle-registration system – and how these affected the resource use of the common during the eighteenth and early nineteenth centuries. The analysis explains how internal shifts in power balances amongst groups of active users and those who did not have the means or willingness to participate could jeopardize the internal cohesion of the commoners as a group.


2021 ◽  
pp. 32-35
Author(s):  
Amine Moulay Taj ◽  
Fouzi Belmir

In a global context increasingly concerned with climate change, understanding the impact of economic growth on the environment is becoming crucial, especially for developing countries. Morocco has been committed to the United Nations Framework Convention on Climate Change (UNFCCC) to achieve the objectives set for reducing greenhouse gas (GHG) emissions by 13% by 2030, with 2010 as the reference year. Such a target could reach 32% by the same horizon under certain technical, financial and capacity building support conditions.The main emitters of greenhouse gases (CH4 and CO2) are landfills because during the decomposition of solid waste CO2 is the most present gas pollutant is for this reason focuses this case study carried out in a landfill located in Fez, the development of a new calculation method or we could have a reduction in CO2 41261,69 teq CO2/year and with a yield of 85%.


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