Financial development–green growth nexus in China: the role of technological capital

Zhao, Wenxiang; Huangfu, Jianhua; Chang, Miao; Yu, Lei; Sohail, Sidra

doi:10.1007/s11356-023-26811-x

Cited by 2 publications

(3 citation statements)

References 38 publications

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“…The variables' mixed order of integrations induces us to apply the ARDL model that can deal with these types of variables. Most of the macroeconomic variables are either I(0) or I(1); therefore, a large number of studies that have applied the time series analysis used the variables with mixed orders of integration [25]. Particularly, there are studies which used ICT [7] and environmental regulations [26] in a time series analysis using the ARDL approach due to its ability to handle the variables of mixed order of integrations.…”

Section: Resultsmentioning

confidence: 99%

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Towards a Green Economy in China? Examining the Impact of the Internet of Things and Environmental Regulation on Green Growth

Dong,

Ullah

2023

Sustainability

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The idea of green growth stresses the necessity for economic expansion while resolving environmental issues, notably climate change. The Internet of Things (IoT) and environmental regulations have the potential to support green growth. Therefore, this study intends to examine the empirical link between the IoT, environmental regulations, and green growth in China by utilizing the autoregressive distributed lag (ARDL) and quantile autoregressive distributed lag (QARDL) methods to analyze data from 1997 to 2021. Data are obtained from reputable local and international sources like the Organisation for Economic Co-operation and Development (OECD), World Development Indicators (WDI), the Energy Information Administration (EIA), and the National Bureau of Statistics of China. Findings derived from the baseline ARDL model prove that the IoT, environmental regulations, renewable energy consumption, and research and development (R&D) encourage long-run green growth. Likewise, the robust model also highlights that the internet, environmental policy stringency, renewable energy consumption, and R&D help encourage green growth. In the short run, environmental policy stringency and the internet are favorably linked to green growth in the robust model, and renewable energy consumption is favorably linked to green growth in the baselines model; however, environmental regulation is negatively linked to green growth. The findings from the QARDL analysis show that the impact of the IoT on promoting green growth is significant across all quantiles. On the other hand, the effects of environmental regulation are more pronounced at higher levels of green growth. These findings imply that policymakers should try to increase the role of digitalization in society by promoting the IoT and the internet to decouple economic growth and environmental pollution. Moreover, the digitalization policy should be supported by implementing strict environmental laws and regulations.

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Section: Resultsmentioning

confidence: 99%

“…Zheng et al [24] also conducted research using the QARDL method and found similar results regarding the positive impact of ICT on green growth. Zhao et al [25], using the QARDL method, found a substantial positive impact of environmental regulation on green growth.…”

Section: Introductionmentioning

confidence: 99%

Towards a Green Economy in China? Examining the Impact of the Internet of Things and Environmental Regulation on Green Growth

Dong,

Ullah

2023

Sustainability

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“…These findings are consistent with those of many studies. Köksal et al propose that the level of efficiency in the financial system has a positive correlation with the scale of investments in energy efficiency and renewable energy in each country [97]. Financial development enhances the accessibility of investment capital, facilitating businesses' access to the necessary funds for the development and adoption of green technologies and sustainable development [98].…”

Section: Ardl Regression Analysismentioning

confidence: 99%

How Do Financial Development and Industrial Structure Affect Green Total Factor Energy Efficiency: Evidence from China

Xu,

Wang

2024

Energies

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Improving energy efficiency is vital for addressing climate change and reducing carbon emissions in emerging economies. Financial development (FD) is crucial for economic growth, and its environmental impact and the adjustment of the industrial structure (IND) is a crucial lever in China’s economic transition period. This study explored the relationship between FD, IND, and China’s green total factor productivity (GTFEE) from 2000 to 2020 using the super-efficiency SBM-undesirable model, which estimates China’s GTFEE. The ARDL results suggest that FD and IND enhance GTFEE in the long term, with FD promoting GTFEE by facilitating industrial structure adjustments. The Dumitrescu–Hurlin panel causality tests supported this finding. The QRPD panel quantile regression and heterogeneity analysis revealed significant heterogeneity in the effects. With increasing GTFEE, FD exerts a restraining effect, gradually weakening and transitioning into a promoting effect, while the IND consistently plays a promoting role.

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Financial development–green growth nexus in China: the role of technological capital

Cited by 2 publications

References 38 publications

Towards a Green Economy in China? Examining the Impact of the Internet of Things and Environmental Regulation on Green Growth

Towards a Green Economy in China? Examining the Impact of the Internet of Things and Environmental Regulation on Green Growth

How Do Financial Development and Industrial Structure Affect Green Total Factor Energy Efficiency: Evidence from China

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