How Government Size Expansion Can Affect Green Innovation—An Empirical Analysis of Data on Cross-Country Green Patent Filings

Wen, Jun; Li, Lingxiao; Zhang, Xinxin; Jiao, Chenyang; Li, Wenjie

doi:10.3390/ijerph19127328

Cited by 15 publications

(10 citation statements)

References 78 publications

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“…Thus, these solved the problem of limited construction land and prevented the government from attracting backward industries that could bring rapid profits at a low price. However, due to the uncertainty of the impact of government intervention on environmental quality, the effect of land marketization on EEQ through government intervention did not exist [47]. Therefore, these conclusions proved the existence of Hypotheses 2.1 and 2.3 except for Hypothesis 2.2.…”

Section: Driving Mechanism Analysis Of the Impact Of The Mercocl On Eeqmentioning

confidence: 80%

Impact of China’s Rural Land Marketization on Ecological Environment Quality Based on Remote Sensing

Xie

Bai

et al. 2022

IJERPH

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The market entry of rural collective operating construction land (MERCOCL) is an important way for the Chinese government to promote the marketization of rural land. However, the impact of China’s Rural Land Marketization on the ecological environment quality (EEQ) remains to be understood. Understanding these mechanisms is necessary for regional sustainable development and rational resource allocation. Therefore, a universal assessment model of China’s regional EEQ was built based on the Landsat 5/8 and the national ecological index (EI) provided by the Ministry of Ecology and Environment at the national district and county scale. A total of 229 counties (32 pilot counties and other counties in the pilot cities) in China from 2011 to 2018 were taken as the research object. This paper empirically studied the evolution process, driving mechanism and spatial heterogeneity of EEQ from the perspective of MERCOCL. The study shows that China’s EEQ presented a spatial distribution pattern of “high in the south, low in the north, high in the east and low in the west”. When a county implemented the MERCOCL policy, its EEQ index increased by 0.342, with the improvement effect occurring in the second year after the MERCOCL implementation. Regarding the mechanism, MERCOCL mainly improved the EEQ by promoting industrial structure optimization and increasing urban population aggregation. From the perspective of spatial heterogeneity, the improvement effect of MERCOCL on EEQ was more significant in regions with lower economic development levels and latitudes (southern China). This study will facilitate an understanding of the impact of China’s rural land marketization on the EEQ and provide scientific data support for government departments to formulate sustainable urban development policies that meet local conditions.

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Section: Driving Mechanism Analysis Of the Impact Of The Mercocl On Eeqmentioning

confidence: 80%

Impact of China’s Rural Land Marketization on Ecological Environment Quality Based on Remote Sensing

Xie

Bai

et al. 2022

IJERPH

View full text Add to dashboard Cite

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“…Since there is a period of time between the filing and granting of a patent, the number of patent applications is used as a measure of innovation performance. Similarly, the number of green patent applications can be used to measure green innovation performance [54]. Therefore, this article uses the total number of green patent applications of listed artificial intelligence companies to measure corporate green innovation indicators.…”

Section: Definition Of Variablesmentioning

confidence: 99%

Government Subsidies, Green Innovation, and Firm Total Factor Productivity of Listed Artificial Intelligence Firms in China

Zhang,

Shi,

Huang

2024

Sustainability

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The world is being reshaped under global economic development driven by new advances in information technology. Artificial intelligence, an essential potential technology, will play a vital role in technological change and industrial upgrades. Exploring the relationship between government subsidies, green innovation, and total factor productivity will help us analyze government decisions’ effects and better promote artificial intelligence’s technological innovation process. Based on data from China’s listed artificial intelligence companies from 2011 to 2020, this study uses the Levinsohn–Petrin method to measure the total factor productivity of companies and analyzes the impact of government subsidies on the total factor productivity of AI companies, the mediating effect of green innovation, and the moderating effect of intellectual property protection intensity. The research results show that (1) government subsidies can promote the total factor productivity of AI enterprises; (2) green innovation capabilities play a mediating role between government subsidies and enterprise total factor productivity, and government subsidies can indirectly promote green innovation to promote the improvement of total factor productivity effectively; (3) in the AI industry, the promotion effect of government subsidies on total factor productivity is more significant among state-owned enterprises, while the impact mechanism of government subsidies on private enterprises is not significant; and (4) the intensity of intellectual property protection has played a positive moderating role in the impact of government subsidies for artificial intelligence enterprises on total factor productivity. However, the current intensity of intellectual property protection remains unable to promote improvements in enterprise total factor productivity by stimulating green innovation. The research results will help us better understand the relationship between government subsidies and the development of corporate economic benefits and promote more scientific and effective government decision-making.

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“…In our opinion, these disparate results may indicate that production knowledge is indirectly related to purchase intentions for green products. For instance, Wen and Li (2013) found that production knowledge moderated the relationship of risk perceptions with purchase intent for green products. However, whether production knowledge plays a moderating role in influencing green purchase behaviour remains relatively under‐investigated.…”

Section: Hypotheses Developmentmentioning

confidence: 99%

Drivers of green apparel consumption: Digging a little deeper into green apparel buying intentions

et al. 2023

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The apparel industry's sustainability is gaining scholars' attention amidst increasing concerns about its environmental impacts. However, to ensure that the industry's efforts in environmental preservation succeed, it is crucial to identify the factors that can positively influence consumers' purchase or buying intentions for green apparel. However, at present, this topic is relatively understudied. Assimilating the norm activation model (NAM) and the stimulus–organism–response (SOR), we investigate economic, cognitive and ecological factors as antecedents to consumers' green apparel buying intentions. Additionally, we adapt the model to consider consumers' knowledge about apparel production as a moderator. Empirically analysing data from 478 apparel consumers from the USA through structural equation modelling, we found significant roles for affordance, ecological concerns and ascription of responsibility as stimuli influencing an individual's cognitive state through green self‐efficacy, green attitude and personal norms. The latter, in turn, affects the individual's buying intentions. Our findings entail several suggestions to help scholars, policymakers and business managers positively influence consumers to make green purchase decisions. We contribute significantly to the literature by explaining the nuances of driving factors that promote green apparel buying, and practitioners can leverage them to devise appropriate strategic tactics supporting such consumption practices.

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How Government Size Expansion Can Affect Green Innovation—An Empirical Analysis of Data on Cross-Country Green Patent Filings

Cited by 15 publications

References 78 publications

Impact of China’s Rural Land Marketization on Ecological Environment Quality Based on Remote Sensing

Impact of China’s Rural Land Marketization on Ecological Environment Quality Based on Remote Sensing

Government Subsidies, Green Innovation, and Firm Total Factor Productivity of Listed Artificial Intelligence Firms in China

Drivers of green apparel consumption: Digging a little deeper into green apparel buying intentions

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