Effects of Digitalization on Energy Efficiency: Evidence From Zhejiang Province in China

Niu, Yi; Lin, Xia; Luo, Hongyun; Zhang, Jianhua; Lian, Yinghuan

doi:10.3389/fenrg.2022.847339

Cited by 20 publications

(10 citation statements)

References 68 publications

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“…Yi et al (2022) used provincial panel data to evaluate the relationship between digital economy and carbon emissions, and found that the development of digital economy has significant carbon emission reduction effects. The research of Niu et al (2022) shows that digital investment improves energy efficiency, which in turn reduces carbon emissions in the production process. believes that the development of the digital economy has produced more new clean industries, which has a crowdingout effect on industries with high energy consumption and high emissions, thereby reducing carbon emissions.…”

Section: Digital Economy Development and Carbon Emission Intensitymentioning

confidence: 99%

Does digital economy development reduce carbon emission intensity?

2023

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Carbon emissions from human activities are the main cause of climate warming. Under the background of economic and social digital transformation, accurately assessing the carbon emission reduction effect of the development of the digital economy is of great significance for countries to deal with climate warming in the post-COVID-19 era. This paper constructs a dynamic evaluation model of orthogonal projection to measure the level of digital economy development at the provincial level in China from 2007 to 2019. On this basis, the panel fixed effects model and mediation model are used to empirically test the impact of digital economy development on carbon emission intensity and its mechanism. The results indicate that: (1) The development of China’s digital economy is unbalanced among regions, showing a geospatial pattern of decreasing from east to west. (2) China’s carbon emission intensity has a trend of decreasing year by year, and there are geospatial differences of “high in the west and low in the east” and “high in the north and low in the south.” (3) The digital economy development can effectively reduce regional carbon emission intensity through industrial structure optimization effect and resource allocation effect, and the industrial structure optimization effect can suppress carbon emission intensity more obviously. (4) The development of digital economy in different regions has different degrees of reducing carbon emission intensity. The development of digital economy in the eastern region has a stronger inhibitory effect on carbon emission intensity than that in the middle and western regions, and the development of digital economy in economically developed regions can suppress carbon emission intensity more. This paper provides enlightenment for policy makers to deal with climate warming.

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Section: Digital Economy Development and Carbon Emission Intensitymentioning

confidence: 99%

Does digital economy development reduce carbon emission intensity?

2023

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“…Demand-side flexibility is increasingly important to ensure efficiency and to supply energy when it is needed and consume when it is available Agency (2017) Mondejar et al (2021). In particular, the renewable energy attributes significantly reduce their energy efficiency, which is a strategic goal to secure energy supply and reduce energy consumption and greenhouse gas emissions globally, but also an essential source of competitive advantage that can reduce operational costs Borowski (2022). In this context, digitalization opens a broad range of possibilities along the entire energy value chain, ranging from generation to transport, distribution, supply, and consumption.…”

Section: Digitalization Impact On the Energy Sectormentioning

confidence: 99%

“…On the other hand, the explosion of the digital industry has also brought some controversies: some scholars have suggested that the spread of ICT tools and the growth of the digital economy may affect energy consumption and has rapidly increased the demand for electricity in developing countries Borowski (2022). In other words, there is potential for big rebound effects throughout the Frontiers in The Internet of Things frontiersin.org economy Mondejar et al (2021).…”

Section: Digitalization Impact On the Energy Sectormentioning

confidence: 99%

“…Smart mobility systems promise to increase efficiency: CAVs (Connected Autonomous Vehicles) equipped with V2V (vehicle-to-vehicle) or V2I (vehicle-to-infrastructure) communication systems can reduce greenhouse gas emissions and time spent in traffic; it has been demonstrated that a 70% CAV penetration rate in a city like Milan in Italy can achieve to a reduction in emissions of approximately 400 t/year CO2 eq with a V2V solution, and around 2,700 t/year in a V2I scenario Secchi and Gili (2022). In the manufacturing sector, computational modeling can be used as a powerful tool for energy analysis as an effective decision-making technique in order to optimize throughput, effectively plan and manage operations, reduce bottlenecks and test various scenarios Borowski (2022). Moreover, this sector could benefit from the introduction of a paradigm such as Industry 5.0.…”

Section: Digitalization Impact On the Energy Sectormentioning

confidence: 99%

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Future scenarios for the infrastructure digitalization: The road ahead

Muciaccia

Tedeschi²

2023

Front. Internet Things

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Nowadays, every industry across the globe is facing a disruptive transformation enabled by digitalization processes. Also, the industry of infrastructures, such as telecom, energy, transportation, and water systems, will be reshaped by the digitalization of physical assets mainly enabled by IoT technologies. An outstanding role in this scenario will be played by digital platforms, which will mediate the provisioning of services based on infrastructure. This process can revolutionize the industry-changing business models, unlocking great opportunities and posing complex challenges. In this paper, we investigate digitalization and the platformization processes and how they affect the infrastructures. We describe the models related to these processes in a systematic and interdisciplinary way and provide a comprehensive survey on technological, economic, and social issues. As a result of the research, we discuss the opportunities and risks of the processes, and we propose several approaches to address them.

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“…In order to take into account a more local level of sector enterprises and to unite previous trends [55][56][57], the authors expanded the 3D concept with the fourth component [58][59][60][61][62]. Hence, 4D trends at the same time included: Digitalization-the trend towards the change in approaches to business processes based on the introduction of digital technologies;…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Impact of Technological Development and Scenario Forecasting of the Sustainable Development of the Fuel and Energy Complex

et al. 2023

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The beginning of the 21st century for the fuel and energy complexes of most countries is characterized as a period of active restructuring and a fundamental shift in developmental priorities. The basis of these changes is technological development. Industry 4.0 technologies have particular importance in achieving maximum optimization of production processes. In the same way, they are applicable in establishing effective interaction between the energy sector and other sectors of the economy. The authors outline an approach to assessing the country’s fuel and energy balance state through the selected properties: sustainability, accessibility, efficiency, adaptability and reliability. Hence, a model of the fuel and energy complex was created on the example of the Russian Federation, considering the country’s territorial and functional division. The methodology is based on scenario modeling of the influence level of external challenges in conjunction with the accompanying technological development. The mathematical model allowed forecasting changes in the properties of the energy system. The scientific significance of the work lies in the application of a consistent hybrid modeling approach to forecast the state of the fuel and energy balance. The results of the study are useful in compiling scenarios for the regional and entire development of the fuel and energy complex. Further model improvements should include an expansion of the number of counted industries and their relations.

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Effects of Digitalization on Energy Efficiency: Evidence From Zhejiang Province in China

Cited by 20 publications

References 68 publications

Does digital economy development reduce carbon emission intensity?

Does digital economy development reduce carbon emission intensity?

Future scenarios for the infrastructure digitalization: The road ahead

Assessment of the Impact of Technological Development and Scenario Forecasting of the Sustainable Development of the Fuel and Energy Complex

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