Innovation, Energy Consumption and Trade Dynamic: Evidence from Developed and Developing Countries

Asghar, Muhammad; Chaudhry, Imran Sharif; Ali, Sharafat

doi:10.1007/s13132-023-01300-1

Cited by 10 publications

(4 citation statements)

References 83 publications

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“…All these methods are suitable for longitudinal panel data (Hsiao, 2022). For short panels, feasible generalized least square (FGLS), panel corrected standard error (PCSE), regression with Driscoll-Kraay standard error, cointegration regression, and GMM produce more reliable results (Asghar et al, 2023;Bliese et al, 2020;Semykina & Wooldridge, 2010). However, to account the issue of cross-sectional dependence (CSD), serial autocorrelation and heterogeneity FGLS can produce (Hansen, 2007) and Prais-Winsten regression (Beck & Katz, 1995) more efficient results.…”

Section: Econometric Methodologymentioning

confidence: 99%

“…EI and the adoption of green energy (GE) are critical to the development and deployment of these sources, because they may reduce costs, improve performance, and expand the availability of clean energy solutions (Wang et al, 2020). It can also help HICs improve their competitiveness, eco-efficiency, and resilience by opening new markets and industries (Asghar et al, 2023). As a result, EI is a critical approach for HICs to achieve ES to conserve natural resources (Aftab et al, 2023).…”

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confidence: 99%

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Environmental sustainability in high‐income countries: Does natural resource protection, financial inclusion, and energy innovation matters?

Regmi,

Zhang,

Zhang

2024

Land Degrad Dev

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Environmental sustainability (ES) is critical for high‐income countries (HICs) because of their high ecological footprints. They are responsible for global environmental problems as they consume more natural resources, produce more output, and generate more greenhouse gases than other countries, which could have severe consequences for land degradation. In the context of resource conservation and land development policies, this study examined the impact of natural resource protection (i.e., land, water, and biodiversity), financial institution inclusion, financial market inclusion, and energy innovation (EI) on the enhancement of ES in 15 HICs from 1995 to 2020. The study applied Feasible GLS and Prais–Winsten regression to consider cross‐sectional dependence, autocorrelation, heteroscedasticity, and slope heterogeneity problems for unbiased and robust findings along with 2nd generation cointegration tests and the JKS Granger non‐causality test. Natural resource protection, financial institution inclusion, financial market inclusion, and EI have positive effects on ES, along with green energy and environmental regulations. It was also found that an increase in real income negatively impacts ES, as it increases the use of natural resources and energy and generates more waste and pollution which further accelerates land degradation. Cointegration and causality also exist between variables of interest. This shows that protecting natural resources, increasing financial inclusion, and EI can be successful strategies for fostering a green transition, reducing environmental impacts, and embracing more sustainable practices and laws to meet development goals and develop sustainable land use policies. This study suggests that HICs should protect land, water, and biodiversity, promote green financing, digital payments, EI, energy diversification, and environmental protection to achieve ES which is critically important to reduce land degradation.

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Section: Econometric Methodologymentioning

confidence: 99%

mentioning

confidence: 99%

Environmental sustainability in high‐income countries: Does natural resource protection, financial inclusion, and energy innovation matters?

Regmi,

Zhang,

Zhang

2024

Land Degrad Dev

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“…There are numerous adverse effects associated with energy depletion, including resource scarcity, greenhouse gas emissions, pollution, and loss of habitats [21][22][23]. The demand for fossil fuels has increased by 2.3% over the last ten years, while global energy consumption has doubled [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

An environmental assessment through load capacity factor: The dynamic effects of technological cooperation grants and energy depletion in Pakistan

Lin,

Ullah

2024

Preprint

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This study aims to fill a crucial gap in current research by examining the multifaceted relationships between energy depletion, technical cooperation grants, industrialization, and environmental degradation. By focusing on Pakistan, a country emblematic of many developing nations facing rapid industrialization and resource constraints, this research offers valuable insights with broad applicability. The significance of this study lies in its innovative approach of utilizing load capacity factor as a novel proxy for environmental sustainability, moving beyond traditional metrics like CO2 emissions and ecological footprints. The study analyzes time series data from 1970 to 2022 using advanced econometric techniques, particularly the dynamic autoregressive distributed lag (ARDL) model. The findings reveal a nuanced picture of the impact of energy depletion, technical cooperation grants, and industrialization on environmental degradation. Energy depletion and industrialization are found to exert a significant and adverse influence on environmental quality, exacerbating degradation over time. Conversely, technical cooperation grants emerge as a mitigating factor, demonstrating a positive association with environmental sustainability. Moreover, the study conducts a sensitivity analysis by comparing the results obtained using the load capacity factor with those derived from ecological footprints. This comparative analysis offers robust insights into the dynamics of environmental degradation, enriching the understanding of the complex interplay between economic activities and environmental outcomes. Further, policies are discussed for theory and practice.

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“…Moreover, EPU also can have negative but different impacts across different regions within an economy [18]. Some studies have examined the impacts of EPU on Chinese companies [18], BRICS economies [19], the EPU-green innovation relationship in Chinese cities, the EPU-RE relationship in the US [20], the EPU-energy efficiency association in Chinese cities [21], EPU impacts in G7 economies [22] and South Africa [23], and EPU-CO 2 relationship in South East-Asia [24], China [25], and BRICST nations [26]. However, the authors still believe there is a need to deeply examine the impacts of EPU on ES to better understand how EPU affects GHG emissions in developed and emerging economies.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of the Impact of Policy Uncertainty, Agricultural Output, and Renewable Energy on Environmental Sustainability

Nan,

He,

Solangi

et al. 2023

Sustainability

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The comparative analysis of the effect of economic policy uncertainty on environmental sustainability is imperious as it can provide critical insights into the link between economic policies and environmental sustainability. Economic policy uncertainty may have different impacts in different economies. The present study provides a comparative analysis of the effect of economic policy uncertainty on environmental sustainability in developed and emerging economies. The study employs pooled ordinary least squares and panel quantile regression to analyze data from 2001 to 2019. Moreover, the study also compares the impact of economic policy uncertainty on environmental sustainability across two different econometric methods. It also compares the results across different quantiles of the distribution of variables. Moreover, the study includes the agriculture output, renewable energy consumption, and foreign direct investment in the model. The results show that economic policy uncertainty negatively and significantly impacts environmental sustainability as it increases GHG emissions. Moreover, agriculture output increases GHG emissions in developed economies at higher quantiles. Furthermore, the results also confirm the pollution haven hypothesis, while renewable energy consumption has a positive effect on environmental sustainability as it significantly reduces GHG emissions. The study stresses that governments should take measures to minimize economic policy uncertainty to improve environmental sustainability. In addition, effective policies to enhance openness in the policymaking process and offer long-term policy certainty and foster more stable investment conditions would encourage renewable energy and reduce GHG emissions.

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Innovation, Energy Consumption and Trade Dynamic: Evidence from Developed and Developing Countries

Cited by 10 publications

References 83 publications

Environmental sustainability in high‐income countries: Does natural resource protection, financial inclusion, and energy innovation matters?

Environmental sustainability in high‐income countries: Does natural resource protection, financial inclusion, and energy innovation matters?

An environmental assessment through load capacity factor: The dynamic effects of technological cooperation grants and energy depletion in Pakistan

Comparative Analysis of the Impact of Policy Uncertainty, Agricultural Output, and Renewable Energy on Environmental Sustainability

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