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Qiang Gao et al.
Summary: Green innovation is vital for the development and transformation of the manufacturing industry, and one effective way to promote it is through the deep integration of big data. This study finds that big data has a significant and positive impact on green innovation, improving the allocation efficiency of labor and capital. The promotional effect of big data on green innovation is more pronounced in private enterprises than in state-owned enterprises. The government should formulate policies and incentives to encourage the integration of big data in manufacturing enterprises for accelerated green innovation.
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Bingbing Zhang et al.
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Lifeng Chen et al.
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Haochang Yang et al.
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Yang Chen et al.
Summary: Since 2010, the Chinese government has been committed to supporting the development of financial inclusion, especially digital financial inclusion. However, the research findings suggest that digital financial inclusion has no positive impact on the total factor productivity of listed companies, with a significant negative effect on state-owned enterprises but not on non-state-owned enterprises. However, in large cities with concentrated financial resources, digital financial inclusion can significantly improve the productivity of listed companies.
FINANCE RESEARCH LETTERS
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Haiyan Deng et al.
Summary: This study estimates the level of China's digital economy using the entropy approach, and calculates the growth of green total factor productivity (GTFP) in China's manufacturing industry using the Luenberger-Hicks-Moorsteen (LHM) indicator. The results show that China's digital economy and GTFP of manufacturing have been growing steadily, and the digital economy has significant spatial spillover effects on green productivity growth in the surrounding areas.
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Chien-Chiang Lee et al.
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Maomao Zhang et al.
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