Evolution of green finance and its enablers: A bibliometric analysis

Bhatnagar, Sumedha; Sharma, Dilip

doi:10.1016/j.rser.2022.112405

Cited by 122 publications

(56 citation statements)

References 121 publications

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“…The importance of foreign trade has become increasingly prominent. Some scholars have found that foreign trade, as the main driver of green finance, is a hot word in academic research [ 79 ]. With the evolution of time, it can be seen that foreign trade and scientific and technological innovation have always maintained a high influence, and the influence gap between fixed-asset investment, urbanization, and environmental regulation tends to narrow, indicating that the factors affecting the coordinated development of green finance and industrial-structure optimization are gradually turning to diversification.…”

Section: Resultsmentioning

confidence: 99%

Coupling and Coordinative Development of Green Finance and Industrial-Structure Optimization in China: Spatial-Temporal Difference and Driving Factors

Nie

Chen

Liu

et al. 2022

IJERPH

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Although the literature has studied the direction and extent of the effect of green finance on industrial-structure optimization, quantitative analysis of the coupling coordination and spatial–temporal differences between green finance and industrial structure is relatively scarce. Therefore, in this paper, we built the theoretical framework of the coupling coordination relationship between green finance and industrial-structure optimization, and then we used the coupling coordination degree and geographic detector model to investigate the spatial–temporal evolution characteristics and influencing factors of the coupling coordination between the two based on the panel data of 31 provinces from 2012 to 2019. The results show that China’s green finance and industrial-structure optimization have basically reached the primary coupling, and the coupling coordination degree is from 0.40 to 0.43, which shows a “W”-type fluctuation trend of recovery. The regional gap of the coupling coordination degree firstly decreased and then increased, showing a change law of “agglomeration, equilibrium and agglomeration”. In the spatial dimension, the high-level coordination region showed an increasing trend of “fragmentation” fluctuation, while the low-level coordination region concentrated in the central and western regions with a tendency of “low value locking”. The trend surface showed a spatial characteristic of “high in the north and low in the south–high in the east and west and low in the middle”. We also found that the dependence of foreign trade and technological innovation are the main factors affecting the coupling coordination degree, and the interaction between government support and human capital synergistic is the crucial channel for the coevolution of green finance and industrial structure to promote green and low-carbon development.

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Section: Resultsmentioning

confidence: 99%

Coupling and Coordinative Development of Green Finance and Industrial-Structure Optimization in China: Spatial-Temporal Difference and Driving Factors

Nie

Chen

Liu

et al. 2022

IJERPH

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“…This type of analysis helps to know the state of the art of a given topic and its potential for further development and research. Data analysis research covers different fields such as materials, education, economy, medicine, environment, energy, and others [ 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 ]. Armenise et al [ 2 ] developed a bibliometric analysis of the pyrolysis of different plastic wastes.…”

Section: Bibliometric Analysis Of Ps Pyrolysismentioning

confidence: 99%

A Thermo-Catalytic Pyrolysis of Polystyrene Waste Review: A Systematic, Statistical, and Bibliometric Approach

2023

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Global polystyrene (PS) production has been influenced by the lightness and heat resistance this material offers in different applications, such as construction and packaging. However, population growth and the lack of PS recycling lead to a large waste generation, affecting the environment. Pyrolysis has been recognized as an effective recycling method, converting PS waste into valuable products in the chemical industry. The present work addresses a systematic, bibliometric, and statistical analysis of results carried out from 2015 to 2022, making an extensive critique of the most influential operation parameters in the thermo-catalytic pyrolysis of PS and its waste. The systematic study showed that the conversion of PS into a liquid with high aromatic content (84.75% of styrene) can be achieved by pyrolysis. Discussion of PS as fuel is described compared to commercial fuels. In addition, PS favors the production of liquid fuel when subjected to co-pyrolysis with biomass, improving its properties such as viscosity and energy content. A statistical analysis of the data compilation was also discussed, evaluating the influence of temperature, reactor design, and catalysts on product yield.

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“…The sum of documents examined is 3543, which were extracted from search source “Google Scholar” applying to Publish or Perish software version 8. A significant number of 666 articles is compared to other emerging topics in Finance like Green Finance concerning banking where the documents published so far (Akomea‐Frimpong et al, 2021; Bhatnagar & Sharma, 2022). A substantial count of records shows the significance and pertinence of the area of “Fintech in Banking.” The mean reference per article is 21.34, and 5824 counted researchers who added their expertise to this area; whereas in the domain of Green Finance, the mean reference per article is 7.72, with 1464 counted researchers.…”

Section: Current Trends and Significance In Fintech Bankingmentioning

confidence: 99%

“…The sum of documents examined is 3543, which were extracted from search source "Google Scholar" applying to Publish or Perish software version 8. A significant number of 666 articles is compared to other emerging topics in Finance like Green Finance concerning banking where the documents published so far (Akomea-Frimpong et al, 2021;Bhatnagar & Sharma, 2022). A substantial count of records shows the significance and pertinence of the area of "Fintech in Banking."…”

Section: Current Trends and Significance In Fintech Bankingmentioning

confidence: 99%

Banking 4.0: The era of artificial intelligence‐based fintech

Kumar

Srivastava²,

Gupta

2022

Strategic Change

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Financial technology is changing the banking industry. A blend of high‐tech inventions is altering business as it reacts to unpredictability, indecisions, intricacy, and vagueness in the financial area. Banks are embracing this change and adapting financial technology in their banking products and services in customer advisory, artificial intelligence models, blockchain security, and many more. Given the dearth of literature on the arising subject of Fintech banking this paper provides a status quo and the trend of Fintech banking. A review is done of 3268 documents from the data extracted from Google Scholar for the year 1966–2021. Qualitative analysis including co‐occurrence analysis and the trend analysis was applied with the help of documents analysis, citation analysis, influential journals and authors, and leading countries in the research space. The results were achieved using the NVivo and Vosviewer software. The results identified significant topics trending in this space which include credit risk, artificial intelligence models, robot‐advisory, and decentralized blockchain usage in banking management.

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Evolution of green finance and its enablers: A bibliometric analysis

Cited by 122 publications

References 121 publications

Coupling and Coordinative Development of Green Finance and Industrial-Structure Optimization in China: Spatial-Temporal Difference and Driving Factors

Coupling and Coordinative Development of Green Finance and Industrial-Structure Optimization in China: Spatial-Temporal Difference and Driving Factors

A Thermo-Catalytic Pyrolysis of Polystyrene Waste Review: A Systematic, Statistical, and Bibliometric Approach

Banking 4.0: The era of artificial intelligence‐based fintech

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