The impacts of government ideology on innovation: What are the main implications?

Wang, Quan‐Jing; Guo, Feng; Chen, Yin E.; Wen, Jun; Chang, Chun‐Ping

doi:10.1016/j.respol.2018.12.009

Cited by 104 publications

(60 citation statements)

References 87 publications

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“…Similar to Wang et al (2019) [53], we re-conduct the empirical test based on new samples by removing the outliers which possess the first and last 10% of EPI, the results of which are given in Table 7. We can find that the coefficient of Global, Global_Economic, Global_Social and Global_political is significantly positive at the 1% level.…”

Section: New Samplesmentioning

confidence: 99%

“…) Population density (Density):Norman et al (2006) [58] investigated the relationship between climate change and population density and concluded on a per capita basis that GHG emissions of low-density areas are 2-2.5 times more intensive than those in high-density areas. To control for the influence of population density on environmental performance, we include it in the model as an explanatory variable defined by people per square km (denoted by Density)(Wang et al, 2019) [53]. (5) Education (Education): A higher level of education usually means that citizens are more likely to produce or live in an environment friendly manner, as well as have an improved awareness of environmental protection.…”

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confidence: 99%

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Revisited Globalization’s Impact on Total Environment: Evidence Based on Overall Environmental Performance Index

Wang

Geng

Xia

2021

IJERPH

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This study aims to examine the impact of globalization on environmental performance by employing panel data for 148 countries from 2001 to 2018, via the indicator of Environmental Performance Index to capture the overall environmental quality and KOF index to measure the multi dimensions of globalization. The empirical results suggest that globalization is critical to environmental performance, which is reliable while we conduct several robustness tests. Furthermore, if globalization increases, it would be beneficial for the environmental performance; moreover, among specific dimensions of globalization, economic globalization, social globalization and political globalization would bring about better environmental performance. Besides, the improvement of globalization, social globalization and political globalization would bring about better environmental performance, while that of economic globalization cannot change the overall environmental performance. Our study offers more insight into the relationship between globalization and environmental performance.

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Section: New Samplesmentioning

confidence: 99%

mentioning

confidence: 99%

Revisited Globalization’s Impact on Total Environment: Evidence Based on Overall Environmental Performance Index

Wang

Geng

Xia

2021

IJERPH

Self Cite

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“…Our results were robust to the use of this indicator.8 Guarascio and Tamagni (2019) show that there is relatively litte innovation persistence at the firm level, especially when innovation is measured by patenting activity(Guarascio and Tamagni 2019). On the other hand, empirical studies have shown that at the country level innovation in the current period significantly depends on innovation in the previous period(Tselios 2011;Wang et al 2019). 9 Since many authors (see, e.g.,Kropko and Kubinec 2020;de Chaisemartin and d'Haultfoeuille 2020) have shown recently that two-way fixed effects models (with time and case fixed effects) suffer from methodological and interpretational difficulties, we estimated all models also with one-way (either time or country) fixed effects.…”

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confidence: 51%

Does Income Redistribution Impede Innovation?

Brzeziński

2021

SSRN Journal

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Economic inequalities have been increasing in many countries since the 1980s provoking calls for more income redistribution. One argument against increased redistribution is that it could hamper innovation and technological progress. To the best of our knowledge, this is the first paper that empirically investigates the relationship between government redistributive policies at the top of income distribution and innovative activity in a panel of countries. We use new, high-quality and cross-country comparable panel data on income redistribution from distributional national accounts. The sample covers 34 advanced and emerging countries over 1980-2010. We do not find any negative impact of the redistributive effect on innovation in the crosscountry setting. This result is robust to the use of various measures of income redistribution and patent-based indicators of innovation (patent counts, patent citations and patent originality).

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“…At the macro level, studies have explored the impact of globalization (Autor et al., 2016; Bloom et al., 2016; Gorodnichenko et al., 2010) and trade (Chen et al., 2017; Febiyansah, 2017; Spulber, 2008) on innovation systems. At the meso level, economic development (Chang & Chen, 2004; Gao et al., 2017; Sweet & Maggio, 2015), scale agglomeration (Andersson et al., 2009; Anokhin & Wincent, 2012; Papageorgiadis & Sharma, 2016), education (Bartel & Lichtenberg, 1987; Baumol, 2005; Chi & Qian, 2010), and institutional factors (Lee & Law, 2017; Potrafke, 2010; Wang et al., 2019) are areas of concern. In addition, some studies have focused on the impact of corruption (Blackburn & Forgues‐Puccio, 2009; Sena et al., 2018; Wen et al., 2018), bureaucracy (Bronzini & Piselli, 2016; Zhou et al., 2019), and foresight (Aguirre‐Bastos & Weber, 2018; Da Costa et al., 2008; Havas et al., 2010) on the level of innovation systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Collaborative innovation efficiency: From within cities to between cities—Empirical analysis based on innovative cities in China

Wang

Wei

et al. 2021

Growth and Change

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The city is both a carrier and a subject of innovation. Based on the triple helix theory of industry–university research and the theory of spatial correlation, this study constructs a collaborative innovation framework both within the cities and between cities, and uses a network data envelopment analysis (DEA) model and spatial econometric model to measure and analyze the collaborative innovation efficiency in 75 innovative cities in China. The results show that collaborative innovation efficiency within cities is on the rise, and the efficiency of “research to production” is significantly higher than that of “learning to research.” Industrial structure and foreign factors have inhibited the efficiency improvements, and infrastructure and living standards have different promoting effects on different stages of efficiency. Between cities, capital flows have obvious spillover effects, which promote the efficiency of innovation networks, while the long‐term characteristics of institutional learning have a near‐term negative impact.

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The impacts of government ideology on innovation: What are the main implications?

Cited by 104 publications

References 87 publications

Revisited Globalization’s Impact on Total Environment: Evidence Based on Overall Environmental Performance Index

Revisited Globalization’s Impact on Total Environment: Evidence Based on Overall Environmental Performance Index

Does Income Redistribution Impede Innovation?

Collaborative innovation efficiency: From within cities to between cities—Empirical analysis based on innovative cities in China

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