Power shortage and firm performance: Evidence from a Chinese city power shortage index

Guo, Dongmei; Li, Qin; Liu, Peng; Shi, Xunpeng; Yu, Jiang Tsu

doi:10.1016/j.eneco.2023.106593

Cited by 26 publications

(11 citation statements)

References 50 publications

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“…We adopted the data employment analysis (DEA) method to calculate operational efficiency (Song et al. , 2022; Guo et al. , 2023).…”

Section: Methodsmentioning

confidence: 99%

“…Bloomberg assigns a score to a firm based on its performance metrics related to air quality, ecological and biodiversity impacts, energy, materials and waste, the supply chain, and water (Liu, 2020). We adopted the data employment analysis (DEA) method to calculate operational efficiency (Song et al, 2022;Guo et al, 2023). We used the firm annual operating income as the output.…”

Section: Variablesmentioning

confidence: 99%

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Technological innovation and environmental performance: evidence from China

Wu,

Zhang,

Wang

2024

IMDS

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PurposeThis study empirically investigates the impacts of technological innovation and operational efficiency on environmental performance and the moderating effects of environmental orientation.Design/methodology/approachWe develop a conceptual framework based on the Porter Hypothesis. We collect a sample of 850 listed firms in China between 2010 and 2019. The fixed effect model was used to analyse the data.FindingsThe empirical findings reveal that technological innovation indirectly enhances environmental performance through operational efficiency and partially mediates this impact. We also find that environmental orientation strengthens the positive impacts of technological innovation and operational efficiency on environmental performance.Originality/valueThis study contributes to the literature by revealing that technological innovation is positively associated with operational efficiency and environmental performance, which suggests that technological innovation can simultaneously enhance business and environmental performance. Hence, this study provides empirical support for the Porter Hypothesis. The results also extend the Porter Hypothesis by revealing how technological innovation affects environmental performance and under what conditions technological innovation has a greater impact on environmental performance.

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“…We adopted the data employment analysis (DEA) method to calculate operational efficiency (Song et al. , 2022; Guo et al. , 2023).…”

Section: Methodsmentioning

confidence: 99%

Section: Variablesmentioning

confidence: 99%

Technological innovation and environmental performance: evidence from China

Wu,

Zhang,

Wang

2024

IMDS

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“…China's heavy reliance on fossil fuels and widespread development have resulted in serious environmental and social problems. For instance, haze spread across half of China between 2012 and 2018 [ 3 ] and power rationing occurred in 2021 during the summer and autumn [ 4 ]. Until 2022, the proportion of coal in China's overall energy consumption structure will be as high as 56.2 % and the use of clean energy in China's energy consumption structure will be relatively low [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Public acceptance of residential photovoltaic installation: A case study in China

Wu,

Wang,

Meng

et al. 2023

Heliyon

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“…Compared with developed countries, China not only faces the pressure of carbon emission growth brought by incremental energy demand, but also needs to improve the low-carbon substitution of stock energy. At the same time, the huge development differences between regions in China also constitute the constraints of achieving the "dual carbon goal" (Guo et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Does digital economy development reduce carbon emission intensity?

2023

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Carbon emissions from human activities are the main cause of climate warming. Under the background of economic and social digital transformation, accurately assessing the carbon emission reduction effect of the development of the digital economy is of great significance for countries to deal with climate warming in the post-COVID-19 era. This paper constructs a dynamic evaluation model of orthogonal projection to measure the level of digital economy development at the provincial level in China from 2007 to 2019. On this basis, the panel fixed effects model and mediation model are used to empirically test the impact of digital economy development on carbon emission intensity and its mechanism. The results indicate that: (1) The development of China’s digital economy is unbalanced among regions, showing a geospatial pattern of decreasing from east to west. (2) China’s carbon emission intensity has a trend of decreasing year by year, and there are geospatial differences of “high in the west and low in the east” and “high in the north and low in the south.” (3) The digital economy development can effectively reduce regional carbon emission intensity through industrial structure optimization effect and resource allocation effect, and the industrial structure optimization effect can suppress carbon emission intensity more obviously. (4) The development of digital economy in different regions has different degrees of reducing carbon emission intensity. The development of digital economy in the eastern region has a stronger inhibitory effect on carbon emission intensity than that in the middle and western regions, and the development of digital economy in economically developed regions can suppress carbon emission intensity more. This paper provides enlightenment for policy makers to deal with climate warming.

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Power shortage and firm performance: Evidence from a Chinese city power shortage index

Cited by 26 publications

References 50 publications

Technological innovation and environmental performance: evidence from China

Technological innovation and environmental performance: evidence from China

Public acceptance of residential photovoltaic installation: A case study in China

Does digital economy development reduce carbon emission intensity?

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