Does information quality matter in corporate innovation? Evidence from the Korean market

Amin, Md Ruhul; Chung, Chune Young; Kang, Sanggyu

doi:10.1080/10438599.2020.1871271

Cited by 9 publications

(4 citation statements)

References 86 publications

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“…Third, the digital economy can contribute to technological diffusion by alleviating communication costs and information asymmetry. Poor information quality or asymmetric information environment may lead to underinvestment in innovation activities, and prevent the effective transfer of innovative technology (Amin et al, 2023;Mariotti et al, 2010). Digital technology penetrates the process of information collection, transmission, analysis, and application, expanding the sources of information, enhancing the ability to analyse information, and mitigating information asymmetry (Sun et al, 2022).…”

Section: Literature Review and Theoretical Hypothesesmentioning

confidence: 99%

Green digital finance and technology diffusion

Tan,

Cheng,

Liu

2024

Humanit Soc Sci Commun

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Technology diffusion is essential for sustainable development. However, traditional financing faces structural problems in supporting technological innovation and diffusion. Fortunately, greening and digitalisation have become important directions for the financial development. It’s well worth examining whether green digital finance would promote the diffusion of technology among regions. Therefore, this study explores the causal relationship between green digital finance and technology diffusion using the panel data of 35,532 ‘citing city-cited city’ pair observations from 2002 to 2015. Considering different spatial spillover effects of administrative boundaries and geographic distances, it applies and extends the classic spatial Dubin model with a dual-weighted boundary and distance. The main findings of this study are as follows. First, green digital finance shows significant and considerable spatial stimulus effects, particularly in terms of spatial diffusion across cities. A slight cumulative phenomenon is revealed for different technology diffusion durations. Green digital credit, investment, and support have better stimulating effects on technology diffusion. Second, digital economy and market integration are effective mechanism pathways during this stimulating process of green digital finance on technology diffusion. Digitalisation innovation has a better mechanism effect than others. Third, considering the direction of technology diffusion, the diffusion effect from the east-region cities was better than that from the central-west-region cities.

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Section: Literature Review and Theoretical Hypothesesmentioning

confidence: 99%

Green digital finance and technology diffusion

Tan,

Cheng,

Liu

2024

Humanit Soc Sci Commun

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“…Secondly, it streamlines capital allocation. Implementing the IPDP diminishes the risks of patent infringements, encouraging businesses to disclose pertinent information more transparently 48 . Consequently, this helps to reduce information asymmetry between providers and seekers of capital, thereby increasing the likelihood of financial backing 49 .…”

Section: Theoretical Analysis and Research Hypothesesmentioning

confidence: 99%

The impact of intellectual property demonstration policies on carbon emission efficiency

Yao,

Li,

Wang

2024

Sci Rep

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Confronted with the concurrent challenges of economic advancement and environmental management, this study explores whether implementing Intellectual Property Demonstration Policies (IPDP) can be a covert force in enhancing carbon emission efficiency. Utilizing panel data from 280 prefecture-level cities in China over the period 2007–2019, we employ a quasi-natural experimental design, incorporating multiple-period difference-in-differences models, mediation effect models, and spatial Durbin difference-in-differences models to assess the impacts of IPDP on carbon emission efficiency, its mechanisms of action, and its spatial spillover effects. The regression results of the multi-period difference-in-differences model reveal a statistically significant enhancement in carbon emission efficiency due to IPDP, with an impact coefficient of 0.044. Through heterogeneity tests, it is observed that the influence of IPDP on carbon emission efficiency varies based on regional characteristics, carbon emission levels, and the extent of marketization. The mediation effect model demonstrates that IPDP enhances carbon emission efficiency by fostering green technological innovation and facilitating the transformation of industrial structures. Furthermore, the spatial Durbin difference-in-differences model illustrates that IPDP positively influences the carbon emission efficiency of neighboring regions, indicating favorable spatial spillover effects. Notably, the indirect effect coefficients in the geographical distance matrix, economic distance matrix, and economic-geographical nested matrix are calculated as 0.673, 0.250, and 0.386, respectively. These findings offer compelling theoretical and empirical support for strengthening the intellectual property framework to optimize its environmental impact.

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“…Model (1), model (3), and model (4) are regressed in turn. The results are shown in columns (4), (5), and (6) of Table 8. The coefficients of TREAT_POST and Innovation are all significantly positive, indicating that IPMC promotes TFP by improving enterprise technological innovation.…”

Section: Mediating Effect Testmentioning

confidence: 99%

“…IP incentive policies significantly increase the quantity but inhibit the quality of enterprise innovation. IP strategy promotes enterprise R&D investment and innovation by increasing government investment in innovation, infringement costs, patent information disclosure, and easing financing constraints [4,5]. IP strategy activates enterprise innovation by improving the level of informatization, diversity of capital channels, and market competition [6].…”

Section: Introductionmentioning

confidence: 99%

The Enabling Effect of Intellectual Property Strategy on Total Factor Productivity of Enterprises: Evidence from China’s Intellectual Property Model Cities

Zhu

Sun

2022

Sustainability

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Does intellectual property (IP) strategy improve the total factor productivity of enterprises (TFP)? This paper uses 21,930 enterprise-year observations of China’s A-share listed enterprises from 2010–2020, adopts a multi-period difference-in-differences model, and constructs a quasi-natural experiment on the impacts of intellectual property model cities (IPMC) on TFP. The findings are as follows: (1) IPMC significantly improves TFP. (2) It has lag effects and long-term effects. (3) The promotion effect is stronger for state-owned enterprises and enterprises implementing organizational political strategies. (4) The close government-business relationship and clean government-business relationship play positive regulating roles in IPMC on TFP. (5) IPMC promotes TFP by increasing urban fiscal expenditure on science and technology and enterprise technological innovation. This study enriches the theory and evidence of policy effect assessment for IPMC at the enterprise level, and provides policy inspiration for the promotion of IPMC and TFP, to help China achieve high-quality economic development.

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Does information quality matter in corporate innovation? Evidence from the Korean market

Cited by 9 publications

References 86 publications

Green digital finance and technology diffusion

Green digital finance and technology diffusion

The impact of intellectual property demonstration policies on carbon emission efficiency

The Enabling Effect of Intellectual Property Strategy on Total Factor Productivity of Enterprises: Evidence from China’s Intellectual Property Model Cities

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