The dynamic nexus between biocapacity, renewable energy, green finance, and ecological footprint: evidence from South Asian economies

Sampene, Agyemang Kwasi; Li, C.; Khan, Adnan; Agyeman, Fredrick Oteng; Brenya, Robert; Wiredu, John

doi:10.1007/s13762-022-04471-7

Cited by 37 publications

(10 citation statements)

References 106 publications

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“…The VIF assessment was tested to evaluate the multicollinearity issues among the series. The VIF analysis also discovered that all the series had VIFs lower than the specified cut-off threshold 10 [ 6 ]. This finding demonstrates that multicollinearity is unrelated to the variables being investigated.…”

Section: Methodsmentioning

confidence: 99%

“…Most economies recently faced the problem of overreliance on traditional power sources. Prior studies have revealed that it causes higher levels of air pollution [ 6 , 7 ]. At the same time, economies around the globe are facing various challenges, such as an ageing population, higher mortality rate and reduction in life span [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Air pollution and life expectancy: New evidence from the MINT economies

Ebhota,

Hongxing,

Sampene

2023

Heliyon

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Air pollution and life expectancy: New evidence from the MINT economies

Ebhota,

Hongxing,

Sampene

2023

Heliyon

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“…Additionally, CS-ARDL is versatile in handling various data types, making it applicable in various fields, from economics to finance and environmental studies. Its ability to provide robust, interpretable results while accommodating the complexities of real-world data makes the CS-ARDL method a valuable asset in empirical research and decision-making processes [ 99 ]. Hence, to evaluate the long-term statistical co-efficient among the study parameters (FOS, POG, ECG, HCI, and CEM), this research uses the CS-ARDL technique.…”

Section: Methodsmentioning

confidence: 99%

A step towards food security: The effect of carbon emission and the moderating influence of human capital. Evidence from Anglophone countries

Segbefia,

Dai,

Adotey

et al. 2023

Heliyon

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“…With the help of structural monetary policy, diversified tools such as credit, bonds, equity investment, and trust can be used to provide financial support for green and low-carbon development. Therefore, digital finance can promote the adjustment of energy structure and gradually transition to green, low-carbon, and clean energy through technical support, capital allocation, and monetary policy for energy and related industries [ 48 , 49 , 50 , 51 ].…”

Section: Theoretical Analyses and Research Hypothesesmentioning

confidence: 99%

Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences

Zhuang

Zhi

et al. 2022

IJERPH

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As the emergence of digital finance is relatively short, research results on digital finance mainly focus on products, services, coverage, policies, etc. The mechanism and role of digital finance in influencing green development are still lacking attention. In the above context, this paper used spatial analysis methods to describe spatiotemporal characteristics in detail, and empirically tested the mechanism and path of digital finance affecting green development through spatial econometric models and intermediary models. The results showed that: (1) During the study period, digital finance and green development have been improved to varying degrees, but the inter-provincial differences are still obvious. (2) The spatial trends of digital finance and green development are similar, and the overall performance is “high in the east, low in the west, high in the south, and low in the north”. (3) The empirical tests found that digital finance is an effective force to reduce energy consumption per unit of GDP and improve the level of green development. It validates Hypothesis 1. Meanwhile, the Heterogeneity effect is noteworthy due to different regions, types, and levels. (4) The promotion of green development by digital finance is mainly concentrated in the local region and has not yet shown a significant green spillover effect for surrounding areas. It validates Hypothesis 2. (5) Energy structure, industrial upgrading, and technological progress are three paths for digital finance affecting green development. Hypothesis 3 is verified. Finally, the innovation of this paper lies in the design of the research framework, diversity of research methods, and policy implications. The main contribution is to enrich and expand the environmental finance theory and provide detailed empirical evidence. In addition, we put forward effective measures and suggestions including local governments, financial institutions, and enterprises based on the empirical results. Local governments should pay attention to policy implementation and operation effects, financial institutions constantly need to strengthen the supply of advanced digital financial products and services, and enterprises should attach importance to the use of digital financial tools to achieve green and low-carbon development in the future.

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The dynamic nexus between biocapacity, renewable energy, green finance, and ecological footprint: evidence from South Asian economies

Cited by 37 publications

References 106 publications

Air pollution and life expectancy: New evidence from the MINT economies

Air pollution and life expectancy: New evidence from the MINT economies

A step towards food security: The effect of carbon emission and the moderating influence of human capital. Evidence from Anglophone countries

Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences

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