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Advanced Regulations and Strategies for Energy Management and Investment

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "C: Energy Economics and Policy".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 7455

Special Issue Editors

School of Public Administration, Sichuan University, Chengdu 610065, China
Interests: technological innovation and knowledge management; public policy and green governance
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the problems of energy shortage, environmental pollution and climate change have become increasingly serious, and it is vital that we achieve world energy security, cleanliness, a high energy efficiency and sustainable development. Energy shortages have become an important factor restricting the sustainable development of the national economy. In addition, the continuous increase in energy prices also restricts business development. In this context, all countries have successively carried out and researched projects related to energy management and investment. The Chinese Government has also formulated and released a series of laws and policies for energy conservation and emissions reduction, striving to build an integrated energy system of comprehensive energy utilization, with a flexible allocation of resources and convenient information sharing, thereby promoting the green, circular and sustainable development of energy.

The purpose of this Special Issue is to introduce and disseminate the latest research regarding advanced regulations and strategies of energy management and investment, in order to promote more scholars' research in this field, thereby improving energy efficiency and reducing energy consumption costs.

Prof. Dr. Xiaofeng Xu
Dr. Wei Zhang
Prof. Dr. Wen Zhang
Guest Editors

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Keywords

  • energy market risk research
  • energy corporate investment analysis
  • sustainable consumption
  • energy internet evaluation model
  • energy transition and economic development
  • economic growth and development
  • energy investment portfolio optimization
  • distributed energy systems
  • energy system management and policy

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Published Papers (6 papers)

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Research

28 pages, 1447 KiB  
Article
Investment Risk and Energy Security Assessment of European Union Countries Using Multicriteria Analysis
by Justyna Kozłowska, Marco Antônio Benvenga and Irenilza de Alencar Nääs
Energies 2023, 16(1), 330; https://doi.org/10.3390/en16010330 - 28 Dec 2022
Cited by 4 | Viewed by 1792
Abstract
Investment opportunities are analyzed from the perspective of the variables that influence risk. The present study analyzes some energy characteristics using data from the Eurostat Data Browser. First, we identified a gap in energy research. Second, we proposed a multicriteria analysis using the [...] Read more.
Investment opportunities are analyzed from the perspective of the variables that influence risk. The present study analyzes some energy characteristics using data from the Eurostat Data Browser. First, we identified a gap in energy research. Second, we proposed a multicriteria analysis using the analytic hierarchy process (AHP). An algorithm was developed to simulate how experts think to determine pairwise comparisons. A procedure identified the levels of importance of each criterion and alternative based on extracted data from the Eurostat website. The method was used to rate countries according to data regarding their energy policy results. The present study shows that applying the AHP method is possible without expert support and using data regarding the theme studied. The results show that Malta and Estonia are the most suitable countries to receive investments since they are presently at the top of the energy security ranking. The selected set of criteria seems to properly correspond with the assessment of the sector security as far as risk investment is concerned. The results of the current study may represent a base to support investment decision-making in the energy sector of EU countries. Full article
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14 pages, 631 KiB  
Article
Empirical Study on the Low-Carbon Economic Efficiency in Zhejiang Province Based on an Improved DEA Model and Projection
by Hongyun Luo and Xiangyi Lin
Energies 2023, 16(1), 300; https://doi.org/10.3390/en16010300 - 27 Dec 2022
Cited by 5 | Viewed by 1421
Abstract
Low-carbon economic efficiency is an important indicator that can be used to measure the quality of regional economic development. In this study, an improved DEA model is introduced into the calculation of low-carbon economic efficiency in Zhejiang Province. Using the actual data of [...] Read more.
Low-carbon economic efficiency is an important indicator that can be used to measure the quality of regional economic development. In this study, an improved DEA model is introduced into the calculation of low-carbon economic efficiency in Zhejiang Province. Using the actual data of nine prefecture-level cities in Zhejiang Province from 2015 to 2020, the low-carbon economic efficiency of each prefecture-level city is calculated. The result is that the overall low-carbon economic efficiency of Zhejiang Province indicates a trend of first falling and then rising, and the low-carbon economic efficiencies of different prefecture-level cities largely differ. The causes of six inefficient DMUs (prefecture-level cities) are analyzed using projection. The improved DEA model is used to determine the “expansion coefficient” of the input and output of three DMUs (prefecture-level cities) with relatively low-carbon economic efficiency. The research results provide a strong basis and support for the development of a low-carbon economy for Zhejiang Province. Full article
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20 pages, 1599 KiB  
Article
Research on Carbon Emission Reduction Investment Decision of Power Energy Supply Chain—Based on the Analysis of Carbon Trading and Carbon Subsidy Policies
by Cheng Che, Huixian Zheng, Xin Geng, Yi Chen and Xiaoguang Zhang
Energies 2022, 15(17), 6151; https://doi.org/10.3390/en15176151 - 24 Aug 2022
Cited by 5 | Viewed by 1562
Abstract
This study examines the carbon reduction investment decisions of the electric power energy supply chain considering carbon trading and carbon subsidy policies in China’s “dual carbon” context. By building a three-level supply chain system including electric power producers, retailers, and consumers, we discuss [...] Read more.
This study examines the carbon reduction investment decisions of the electric power energy supply chain considering carbon trading and carbon subsidy policies in China’s “dual carbon” context. By building a three-level supply chain system including electric power producers, retailers, and consumers, we discuss the optimal decision-making problem of the supply chain for three models of decentralized supply chain decision making without government subsidies, centralized supply chain decision making with government subsidies, and centralized supply chain decision making with government subsidies and carbon emission reduction cost sharing. Through model solving and further numerical simulations, the results showed that the increase in carbon emission reduction investment cost has a significant negative impact on power price and the total expected income of the supply chain. However, a reasonable level of government carbon emission reduction subsidy can effectively alleviate the increase in power price and improve the total expected income of supply chain. In addition, carbon mission reduction investment and supply chain cost allocation can effectively improve the carbon emission reduction level of the power supply chain, improve the income and enthusiasm of electric power producers, and realize the sustainable development of electric power energy consumption and the environment. Full article
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15 pages, 798 KiB  
Article
A Method for Grading the Hidden Dangers of Urban Gas Polyethylene Pipelines Based on Improved PLC Methods
by Yunlong Wang, Zhiting Liu, Xinru Huang, Haizhou Lv, Yun Wu and Kai Zhou
Energies 2022, 15(16), 6073; https://doi.org/10.3390/en15166073 - 22 Aug 2022
Cited by 2 | Viewed by 1705
Abstract
The classification of hidden dangers in urban gas pipelines plays a vital role in the smooth operation of urban gas pipelines and in solving the problem of hidden safety dangers in urban gas pipelines. In recent years, the number and proportion of polyethylene [...] Read more.
The classification of hidden dangers in urban gas pipelines plays a vital role in the smooth operation of urban gas pipelines and in solving the problem of hidden safety dangers in urban gas pipelines. In recent years, the number and proportion of polyethylene (PE) pipelines in urban gas pipelines are increasing day by day, but the current classification of hidden dangers in urban gas pipelines is still based on steel pipelines, and the classification method is highly subjective. Therefore, this paper proposes an improved PLC method that integrates the use of a risk matrix and compensation coefficient to solve the problem of grading the hidden dangers of PE pipelines of urban gas. The improved PLC method is based on the failure database of urban gas PE pipelines to obtain the vulnerability and severity of consequences when determining the initial level of hidden dangers, and the compensation coefficient is modified according to regional vulnerability, ease of rectification, condition around the pipeline, positioning technology, leak detection technology, and emergency ability, which can effectively reduce the subjectivity of hidden danger classification. Using the improved PLC method to classify urban gas pipelines for hidden dangers can provide pipeline operating companies with a basis for decision making in the process of hidden danger disposal and effectively reduce pipeline safety risks. Full article
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14 pages, 5487 KiB  
Article
Dynamic Relationship between Green Economy and Energy Utilization Level: Evidence from China
by You He, Jinrui Zhang, Jie Feng and Guoqing Shi
Energies 2022, 15(16), 5927; https://doi.org/10.3390/en15165927 - 16 Aug 2022
Cited by 7 | Viewed by 1645
Abstract
Based on the panel data from 30 provinces in China from 2010 to 2020, this paper employs the panel vector autoregression (PVAR) model to investigate the dynamic relationship between a green economy and energy utilization level. The results show that: (1) the green [...] Read more.
Based on the panel data from 30 provinces in China from 2010 to 2020, this paper employs the panel vector autoregression (PVAR) model to investigate the dynamic relationship between a green economy and energy utilization level. The results show that: (1) the green economic development level and energy utilization level of 30 provinces in China have been continuously enhancing in recent years, the increase in green economic development level is higher than energy utilization level, and the geographical characteristics of both levels are significant, decreasing from East to West; (2) the causal relationship between the green economy and the energy utilization level has passed the Granger test; the two have formed a relatively high-level balanced relationship over a long period, showing a benign and orderly development trend; (3) the green economy generates a positive pulse response on energy utilization level in the initial period, but the impulse response weakens in the period of lag 1, entailing the relationship needs to be further strengthened in the long term; (4) in the process of continuous enhancement of energy utilization level, it is difficult to drive economic benefits due to high input costs in the initial stage, but it can form a two-way interaction relationship with a green economy as time goes by. Full article
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16 pages, 492 KiB  
Article
Uncertain Network DEA Models with Imprecise Data for Sustainable Efficiency Evaluation of Decentralized Marine Supply Chain
by Enxin Chi, Bao Jiang, Luyao Peng and Yu Zhong
Energies 2022, 15(15), 5313; https://doi.org/10.3390/en15155313 - 22 Jul 2022
Cited by 5 | Viewed by 1859
Abstract
With the expansion of global trade and the deterioration of the marine environment, research on the sustainability of marine transport has drawn increasing scientific attention. This study takes the marine supply chain composed of Maersk and ports in 17 coastal cities in China [...] Read more.
With the expansion of global trade and the deterioration of the marine environment, research on the sustainability of marine transport has drawn increasing scientific attention. This study takes the marine supply chain composed of Maersk and ports in 17 coastal cities in China as decision-making units (DMUs). It then chooses indicators from the three dimensions of economy, environment and society to evaluate the sustainable efficiency of the marine supply chain, Maersk and ports. In order to deal with the uncertain variables of the sustainability evaluation index, this study develops an uncertain network DEA model based on the uncertainty theory, and the computable equivalent form and proof are also provided. In addition, this study divides the decentralized marine supply chain into two modes, i.e., Maersk as leader and the port as leader, and it calculates their sustainable efficiency, respectively. These results suggest that the sustainable performance of ports is superior to that of Maersk, and the sustainable performance of the marine supply chain is better under the lead of ports, but most of the sustainable efficiencies of marine supply chains are inefficient. Therefore, ports should act as a catalyst for the development of the marine supply chain, and the management implications and suggestions for the economic, environmental, and social dimensions are also outlined at the conclusion. Full article
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