The role of government spending on energy efficiency R&amp;D budgets in the green transformation process: insight from the top-five countries

Çağlar, Abdullah Emre; Ulug, Mehmet

doi:10.1007/s11356-022-21133-w

Cited by 63 publications

(14 citation statements)

References 73 publications

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“…If policies encourage energy-efficient technology transfer or prohibit the import of these technologies, this will play a significant role in the structure of energy consumption of the country (Adom & Kwakwa, 2014). According to Caglar and Ulug (2022), government spending on energy consumption has a key role in increasing energy efficiency. Besides, liberal trade policies of the country lead to increased competition.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards sustainable development in the European Union countries: Does economic complexity affect renewable and non‐renewable energy consumption?

Can¹,

Ahmed

2022

Sustainable Development

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Energy insecurity and unsustainable development associated with traditional energy consumption are major challenges for nations. In this context, finding the different parameters that could influence energy use is essential for sustainable development strategies. Unquestionably, the economic structure of nations can influence energy usage; however, the limited literature on this topic delved into the impact of economic complexity on non-renewable energy usage. Hence, this study extends the literature and tests the effect of knowledge-based economic structure (economic complexity) on renewable and non-renewable energy consumption in 14 European Union countries from 1990 to 2017 using the methods robust against both heterogeneity and cross-sectional dependence. The long-run empirical results established that economic complexity increases renewable energy and decreases non-renewable energy use. Also, economic complexity Granger causes non-renewable energy while feedback effect exists between renewable energy and economic complexity. Based on the results, policies are discussed for promoting sustainable growth.

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Section: Literature Reviewmentioning

confidence: 99%

Towards sustainable development in the European Union countries: Does economic complexity affect renewable and non‐renewable energy consumption?

Can¹,

Ahmed

2022

Sustainable Development

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“…In addition, it is also relevant to understand whether the future growth patterns align with the environmental commitment and targets of the transport sector. In this context, generally, the connection between economic growth and CO 2 is analyzed using the EKC concept, which indicates that growth beyond a threshold level promotes environmental quality by encouraging innovation, modern technology, effective environmental regulations, and green energy transition (Sinha et al 2020;Ahmed et al 2022;Caglar and Mert 2022a;Caglar and Ulug 2022b). Thus, economic growth is subject to deterioration in environmental quality only at a lower level of growth due to the priority for production at the cost of the environment and weak environmental laws (Ali et al 2022;Sharif et al 2022;Sofuoğlu and Kirikkaleli 2022).…”

Section: Introductionmentioning

confidence: 99%

Transport infrastructure, economic growth, and transport CO2 emissions nexus: Does green energy consumption in the transport sector matter?

Dai

Alvarado

Ali

et al. 2023

Environ Sci Pollut Res

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Attaining Sustainable Development Goals (SDGs) is important to control the adverse impacts of climate change and achieve sustainable development. Among the 17 SDGs, target 13 emphasizes enhancing urgent actions to combat climate-related changes. This target is also dependent on target 7, which advocates enhancing access to cheap alternative sustainable energy. To accomplish these targets, it is vital to curb the transport CO 2 emissions (TCO 2 ) which increased by approximately 80% from 1990 to 2019. Thus, this study assesses the role of transport renewable energy consumption (TRN) in TCO 2 by taking into consideration transport fossil fuel consumption (TTF) and road infrastructure (RF) from 1970 to 2019 for the United States (US) with the intention to suggest some suitable mitigation policies. Also, this study assessed the presence of transport environmental Kuznets curve (EKC) to assess the direction of transport-induced growth. The study used the Bayer-Hanck cointegration test which utilizes four different cointegration techniques to decide cointegration along with the Gradual Shift causality test which considers structural shift and fractional integration in time series data. The long-run findings of the Dynamic Ordinary Least Squares (DOLS) test, which counters endogeneity and serial correlation, revealed that the transport renewable energy use mitigates as well as Granger causes TCO 2 . However, transport fossil fuel usage and road infrastructure enhance TCO 2 . Surprisingly, the transport EKC is invalid in the case of the US, and increased growth levels are harmful to the environment. The association between TCO 2 and economic growth is similar to a U-shaped curve. The Spectral Causality test revealed the growth hypothesis regarding transport fossil fuel use and economic growth connection, which suggests that policymakers should be cautious while decreasing the usage of transport fossil fuels because it may hamper economic progress. These findings call for revisiting growth strategies and increasing green energy utilization in the transport sector to mitigate transport emissions.

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“…Various scholars examined such connections between KM and the green process in the recent past. In this construct, Caglar and Ulug (2022) focused on the role of government and energy efficiency R&D budgets in the green transformation process. The study by Liu and Nie (2022) investigated the mechanism of green technology innovation and environmental regulation of green finance by coupling coordination.…”

Section: Introductionmentioning

confidence: 99%

Mechanism of knowledge management process towards minimizing manufacturing risk under green technology implementation: an empirical assessment

Alam

Zhang

Khan

et al. 2023

Environ Sci Pollut Res

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Given the critical importance of green technology implementation (GTI) is important for production process improvement and an eco-friendly environment. The present study investigates the connection between GTI and the knowledge management (KM) process to minimize manufacturing risk. This research also validates that an assured combination of green implementation and KM can lead to minimizing manufacturing risk. The sample data (153) was taken from those manufacturing companies that utilize green technologies. Smart PLS 3.2.9 analyzes the relationship between certain variables of GTI and the KM process. Furthermore, fuzzy set qualitative comparative analysis (fsQCA) is used for a combined configurational approach to examine manufacturing risk minimization. The study’s outcome validated that green implementation positively correlated with KM to minimize production risk. fsQCA approach, KM, and green implementation outcome indicated that production risks are minimized. This study contributes to bridging research gaps in the literature and advances understanding of the interrelationship between green implementation and KM processes to minimize manufacturing risk. In addition, research is vital to combine direct and configurational methodologies to highlight two distinct facets of green implementation and the KM process for minimizing manufacturing risk.

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The role of government spending on energy efficiency R&D budgets in the green transformation process: insight from the top-five countries

Cited by 63 publications

References 73 publications

Towards sustainable development in the European Union countries: Does economic complexity affect renewable and non‐renewable energy consumption?

Towards sustainable development in the European Union countries: Does economic complexity affect renewable and non‐renewable energy consumption?

Transport infrastructure, economic growth, and transport CO2 emissions nexus: Does green energy consumption in the transport sector matter?

Mechanism of knowledge management process towards minimizing manufacturing risk under green technology implementation: an empirical assessment

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