How does green finance affect the low-carbon economy? Capital allocation, green technology innovation and industry structure perspectives

Zhu, Yue; Zhang, Juntao; Duan, Caiquan

doi:10.1080/1331677x.2022.2110138

Cited by 28 publications

(12 citation statements)

References 51 publications

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“…This intricate approach was devised to decipher the multifaceted effects of green finance across scale, technology, and structural dimensions. Zhu augmented our understanding of how green finance dynamically interacts with these dimensions [23]. Based on the above analysis, we propose the following hypothesis: Hypothesis 2 (H2).…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 93%

Impact of Green Finance on Carbon Emissions Based on a Two-Stage LMDI Decomposition Method

Lin,

Wang,

et al. 2023

Sustainability

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As the “double carbon” goal gains traction worldwide, achieving a balance between economic growth and environmental sustainability has become a focal point for researchers. Green finance, as a specialized financial service, offers a new approach to sustainable development. This study analyzed carbon emission sources in 25 Chinese provinces between 2007 and 2020, dividing them into energy structure, economic development, energy efficiency, and industrial structure, using a two-stage LMDI method. It then examines the linear and non-linear relationships between green finance and carbon emissions using spatial measurement methods. The findings indicate that green finance is an effective way to reduce carbon emissions, primarily through its impact on energy structure, energy efficiency, and industrial structure. There are significant non-linear relationships between green finance and the factors affecting carbon emissions, with spatial effects playing a significant role in carbon emissions influenced by energy structure, economic development, energy efficiency, and industrial structure.

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Section: Literature Review and Research Hypothesesmentioning

confidence: 93%

Impact of Green Finance on Carbon Emissions Based on a Two-Stage LMDI Decomposition Method

Lin,

Wang,

et al. 2023

Sustainability

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“…This study acknowledges that climate change induces GTA practices in three different areas: (1) banking (Zhu et al, 2022;Domarack a et al, 2023), (2) EI (Zhang et al, 2023) and ( 3) HR (Jang et al, 2023). Therefore, following the approach of Birindelli et al (2022), our empirical model incorporates the moderating effect of climate change on the link between GTA and banking sector performance while controlling for bank and country specific controls.…”

Section: Methodsmentioning

confidence: 98%

Climate change and the European banking sector: the effect of green technology adaptation and human capital

Afzal,

Hasnaoui,

Firdousi

et al. 2024

RAF

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Purpose Climate change poses effect on banking sector’s risks and profitability through adaptation of green technology. This study aims to incorporates green technology adaptation in three sectors: green banking, green entrepreneurial innovation (EI) and green human resource (HR), in a model of bank’s performance. And determines the impact of climate change on bank risk and profitability. Design/methodology/approach An assessment of profitability and risk profile of commercial banks is done for 27 European countries for 2013–2022, employing a two-step difference system-generalized method of moments estimation technique with a moderate effect of climate change by including interaction between climate change and green technology adaptation. Findings The results indicate that green banking increases profitability, reduces credit risk and increases liquidity risk. The results also show that green human resource increases profitability and becomes a source of credit and liquidity risks for the banks. Green EI increases credit risk and liquidity risk, while the effects of green EI on profitability vary with the use of two proxies: Green patents increase profitability and environment, social and corporate governance (ESG) scores decrease profitability. Practical implications Supportive government initiatives, including subsidies and tax rebates to green borrowers, may take the burden of green transition off the banking sector. Originality/value This paper observes the impact of green technology adaptation in three sectors: banks, EI and HR, moderated by climate change, adding substantially to the existing literature in conceptual framework and methodology.

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“…After summarizing China's rural energy carbon emission e ciency's spatial and temporal features, several researchers employed the Tobit model to investigate the elements that in uence it, including the degree of agricultural development, the makeup of the rural workforce, and the degree of urbanization, which favorably impact the carbon emission e ciency of rural energy (Tian et al 2023). Traditional econometric models such as ordinary least squares (OLS) or Tobit ignore the impact of interactions between different regions; scholars have used the spatial Durbin model to study the affecting moments and conducted a detailed study on the carbon emission e ciency and spatial spillover effect of tourism (Wang &Jia 2023), carbon emission effectiveness (Zhang et al 2021), green nance and low-carbon economic construction (Zhu et al 2022), and the effect of spatial spillover of agricultural eco-e ciency (Wu et al 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of spatial and temporal pattern changes and spatial spillover effects of regional agricultural carbon emission efficiency-Taking the Yangtze River Economic Belt as an example

Wang,

Jiang,

Xue

et al. 2024

Preprint

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Studying the temporal and spatial features and ramifications of regional agricultural carbon emission efficiency (ACEE) under a "double carbon" target is very important. This study examined the ACEE of the Yangtze River Economic Belt (YEB) from 2001 to 2021 using a Super-efficiency model. Kernel density estimation and Moran's I index were used to analyze the ACEE value from time and space perspectives. A spatial Durbin model was trained to empirically investigate the driving forces and geographic spillover effects of ACEE. From a time perspective, the ACEE of YEB shows a fluctuating upward trend. The ACEE values of Jiangsu Province, Zhejiang Province, and Shanghai City were noticeably higher than the mean value of YEB. From the space perspective, the ACEE value is downstream > midstream > upstream, and the overall spatial distribution pattern of “east high and west low” is presented. The results of the spatial Durbin model show that the ACEE of YEB has a substantial positive knock-on impact. Elements like the mechanization level and agricultural industrial structure have a positive driving effect on the YEB ACEE, while pesticides have an inhibitory effect. These results indicated that giving advanced regions their due as radiation-leading regions, strengthening information communication between regions, and encouraging the overall coordinated development of the YEB ACEE are worthwhile recommendations for future improvements.

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How does green finance affect the low-carbon economy? Capital allocation, green technology innovation and industry structure perspectives

Cited by 28 publications

References 51 publications

Impact of Green Finance on Carbon Emissions Based on a Two-Stage LMDI Decomposition Method

Impact of Green Finance on Carbon Emissions Based on a Two-Stage LMDI Decomposition Method

Climate change and the European banking sector: the effect of green technology adaptation and human capital

Analysis of spatial and temporal pattern changes and spatial spillover effects of regional agricultural carbon emission efficiency-Taking the Yangtze River Economic Belt as an example

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