Political stability and innovation in Africa

Okrah, James; Hajduk-Stelmachowicz, Marzena

doi:10.14254/2071-8330.2020/13-1/15

Cited by 13 publications

(12 citation statements)

References 10 publications

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“…Institutions can be either formal or informal (Minto-Coy & McNaughton, 2016;Okrah & Hajduk-Stelmachowicz, 2020). Property rights, contracts, policies, regulations, laws, and constitutions are formal institutions, while informal institutions refer to the culture and societal norms that rule the operations of businesses (Berman, 2013;Minto-Coy & McNaughton, 2016).…”

Section: Institutions and Innovation Performancementioning

confidence: 99%

The determinants of innovation performance: an income-based cross-country comparative analysis using the Global Innovation Index (GII)

2023

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Despite the dearth of research on innovation, the key determinants of innovation performance still need to be clarified. Besides, a comparative analysis of the determinants of innovation performance across countries at different income levels has yet to be found. This study, therefore, aims to bridge this research gap by considering the innovation performance of 63 countries. Participating countries were purposefully selected from the Global Innovation Index (GII) dataset. Multistage and multimodal analyses were conducted, including multiple linear regressions, hierarchical regression, and ANOVA, to examine the variation in innovation performance and pinpoint critical determinants in each category of countries. The result reveals that human capital, research, infrastructure, and business sophistication are the key pillars determining countries’ innovation performance. In a variable-level analysis, innovation linkage and knowledge absorption (both of business sophistication), research and development (R&D), and infrastructure (inculcating both physical and digital) are the best predicting variables. The shortage of human capital to promote R&D is the biggest bottleneck hampering innovation in the lower-middle-income category. Also, both human capital for R&D activities and innovation linkage equally affect the upper-middle-income, and the latter one, innovation linkage, remains the main challenge even for the high-income category. The study implies that innovation performance predicts a country’s economic growth. The level of innovation performance and the determinants of innovation vary per the countries’ income levels. Accordingly, countries and firms in various income categories should prioritize tackling their respective bottlenecks hindering innovation performance in their policy directions. The study claims to have extended the horizon of understanding determinants of innovation across countries and revealed the most crucial factors in each category of countries. Further empirical comparative research can be done by incorporating an informal institution, national culture, as an additional determinant and specifying sectors across income categories.

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Section: Institutions and Innovation Performancementioning

confidence: 99%

The determinants of innovation performance: an income-based cross-country comparative analysis using the Global Innovation Index (GII)

2023

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“…They include, among others cognitive abilities, personality type, emotional state, views, attitudes, context (circumstances), presence of people (influence of other people) or lack thereof (Okrah, Hajduk-Stelmachowicz, 2020). The literature on the subject emphasizes that the key in the 21st century is the increase in the ability of managers to make quick and accurate decisions, react to changes and create them.…”

Section: Decision-making Process In Enterprisesmentioning

confidence: 99%

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2022

SPSUTOM

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“…The environment related to the supply of innovation is usually about the institutional environment, the cultural environment, and the Internet [2][3][4]. Political stability is a kind of institutional environment factor that can greatly shape the innovation activities and performance [72,73], and because that the cities we studied are under the same political stability environment, this institutional factor was not taken into consideration. Due to the fact that under China's context, cities with different administrative levels have a different status in the development of innovation and innovation systems, and cities with high administrative levels attach more attention to the development of innovation systems.…”

Section: Analytical Frameworkmentioning

confidence: 99%

Coordinated Development of Innovation System in China’s Yangtze River Economic Belt, a Demand and Supply Perspective

Zhang

Duan

2020

Sustainability

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The Development of the Yangtze River Economic Belt (YREB) is not only a major regional coordination development strategy in China but also a core carrier supporting China’s innovation-driven development. Under this background, this paper explored the evolution, spatial difference, and coordination development of the regional innovation system in the period of 2007 to 2017 from the demand and supply perspective. We found that, during the study period, the development level of the innovation demand subsystem (IDS) and innovation supply subsystem (ISS), as well as their coordinated development, all showed an increasing trend. The development gap of IDS and the coordinated development among cities in YREB was quite balanced, while there existed a large gap among cities in YREB in the development of ISS. The development of IDS was better than the development of ISS in most of the cities of YREB, indicating that the innovation development of cities in YREB needs supply-side structural reform urgently. Most cities in YREB were at the moderately or slightly uncoordinated development phase, and Shanghai was the only city with coordinated development between IDS and ISS. This paper enriches the regional innovation system from a new perspective, the demand and supply perspective, as well as providing suggestions for the coordinated development of the regional innovation system in YREB.

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Political stability and innovation in Africa

Cited by 13 publications

References 10 publications

The determinants of innovation performance: an income-based cross-country comparative analysis using the Global Innovation Index (GII)

The determinants of innovation performance: an income-based cross-country comparative analysis using the Global Innovation Index (GII)

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Coordinated Development of Innovation System in China’s Yangtze River Economic Belt, a Demand and Supply Perspective

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