Resources sustainability and energy transition in China: Asymmetric role of digital trade and policy uncertainty using QARDL

Wang, Canghong; Zheng, Chaoliang; Hu, Chengming; Luo, Yang; Liang, Miya

doi:10.1016/j.resourpol.2023.103845

Cited by 10 publications

(3 citation statements)

References 55 publications

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“…where a(t), x(t), b i (t) (i = 1, 2, 3), l(t) and d i (i = 1,2,3) are corresponding estimated coefficients at quantile t. This approach is superior to others because it comprehensively takes both long-and short-term effects into account, which depend on the different quantiles of the dependent variable. Thus, the QARDL model has been widely utilized in many fields, such as the stock market (Godil et al, 2020), resource sustainability (Wang et al, 2023b), the energy market (Du, 2023), environmental innovation (Alzakri, 2023) and green investment (Pang et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

Bitcoin Price and Chinese Green Bonds: Evidence From the Qardl Method

Wang,

Wen,

Zhang

et al. 2024

TEDE

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This article primally explores the short-term fluctuation and long-term implications of the international Bitcoin price (BP) on the Chinese green bond (GB) market, within the sample period of 2014:M10–2023:M07. Bitcoin is the most important cryptocurrency and has a carbon-intensive feature, and its price suffers from great volatility and is closely related to the green finance market. Meanwhile, although China is the largest bitcoin mining state, it is pursuing a dual carbon target, which promotes its green bond market’s development. Thus, it is valuable to investigate the influence of BP on GBs in China. Based on the quantile autoregressive distributed lag approach, this paper indicates that the positive and negative impacts of BP on the GB market are significant in the long-term but not apparent in the short-term. These results emphasize the importance for market participants to obtain a better understanding of how BP affects GB under various market circumstances. Implementing specific policies, such as regulatory mechanisms for Bitcoin trade, market-oriented reform for the bond market, and information disclosure, can alleviate shocks from BP and accelerate the development of the GB market.

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Section: Methodsmentioning

confidence: 99%

Bitcoin Price and Chinese Green Bonds: Evidence From the Qardl Method

Wang,

Wen,

Zhang

et al. 2024

TEDE

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“…In contrast, the central and western regions are at different stages of digital development. As indicated by Zhang et al [211], Liu et al [212], and Wang et al [213], these regions are experiencing a slower digital progression, affecting their ability to fully utilize digitalization in their energy transition and carbon dioxide emissions reduction efforts. These insights demonstrate the critical role of digitalization in enhancing the environmental benefits of energy transitions, especially in regions with higher technological advancement.…”

Section: Heterogeneity Test In Terms Of the Environmental Sustainabil...mentioning

confidence: 99%

Digitization Meets Energy Transition: Shaping the Future of Environmental Sustainability

Wang,

He,

2024

Energies

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This paper presents an empirical investigation into the effects of energy transition and digitization on carbon dioxide emissions, serving as a proxy for environmental sustainability, across 28 Chinese provinces from 2000 to 2021. Utilizing both static and dynamic regression analyses, the study reveals a significant driving effect of the energy transition on environmental sustainability, primarily through a reduction in carbon dioxide emissions. Notably, this influence is more pronounced in the eastern region of China, followed by the central and western regions, indicating regional heterogeneity in the impact of the energy transition. Furthermore, digitization is found to have a substantial moderating effect, enhancing energy conservation and emission reductions. As digitization progresses, its capability to diminish the impact of energy transitions on carbon dioxide emissions becomes more apparent, particularly in the eastern region, while this effect is less marked in central and western China. The study also delves into the nonlinear relationship between energy transitions and carbon dioxide emissions, discovering that increased levels of digitization can exacerbate the negative effects of energy transitions on emissions. These findings offer valuable insights into the dynamics of energy transition and digitalization, highlighting their crucial roles in shaping environmental sustainability in China.

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“…Scholars have studied economic policy uncertainty, linking it to macro-level effects like low growth [32] and micro-level effects like reduced investment intentions [33,34]. Domestic scholars have identified how macroeconomic factors affect firms in areas like innovation [29], financing costs [35], and digital transformation [36]. Existing studies commonly define "economic policy uncertainty" in a unified way.…”

Section: Economic Policy Uncertainty and Corporate Green Technologica...mentioning

confidence: 99%

Are Firms More Willing to Seek Green Technology Innovation in the Context of Economic Policy Uncertainty? —Evidence from China

Chen,

Hu,

Zhang

et al. 2023

Sustainability

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Frequent shifts in economic policies not only inject uncertainty into the economic landscape but also pose significant challenges to corporate endeavors in green technological innovation. Drawing on a dataset of Chinese A-share listed companies spanning 2008 to 2020, this research delves into the repercussions of economic policy uncertainty on the green technological pursuits of manufacturing firms and elucidates the underlying dynamics at play. The empirical evidence underscores a marked reluctance among companies to champion green technological innovation in the face of economic policy ambiguity, a stance that holds water even after rigorous robustness checks. Delving into the mechanisms, the study pinpoints heightened financial constraints and a diminishing risk appetite within the managerial ranks as pivotal deterrents steering firms away from green innovation projects amidst such uncertainty. Intriguingly, the adverse interplay between economic policy uncertainty and green innovation is especially accentuated in firms marked by tenuous government–business affiliations, pronounced monopolistic inclinations, lax intellectual property safeguards, minimal pollution footprints, and a skewed labor-to-capital composition. This investigation augments the scholarly discourse on the nexus between economic policy volatility and corporate green innovation, shedding light on strategic imperatives for emerging economies as they chart out future environmental blueprints and cultivate a conducive milieu for green innovation.

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Resources sustainability and energy transition in China: Asymmetric role of digital trade and policy uncertainty using QARDL

Cited by 10 publications

References 55 publications

Bitcoin Price and Chinese Green Bonds: Evidence From the Qardl Method

Bitcoin Price and Chinese Green Bonds: Evidence From the Qardl Method

Digitization Meets Energy Transition: Shaping the Future of Environmental Sustainability

Are Firms More Willing to Seek Green Technology Innovation in the Context of Economic Policy Uncertainty? —Evidence from China

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