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Special Issue "Available Energy and Environmental Economics"

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

Deadline for manuscript submissions: 1 November 2022 | Viewed by 1936

Special Issue Editors

Dr. Junpeng Zhu
E-Mail Website
Guest Editor
School of Economics and Business Administration, Central China Normal University, Wuhan 430079, China
Interests: energy economics; energy policy; environmental economics
Dr. Xinlong Xu
E-Mail Website
Guest Editor
College of Tourism, Hunan Normal University, Changsha 410081, China
Interests: energy and environmental economics; energy efficiency; sustainable development; resources economic risk; environmental risk

Special Issue Information

Dear Colleagues,

The rapid development of the social economy is accompanied by the continuous growth of energy demand, such as in the heavy industry, agriculture sector, and tourism sector. Meanwhile, the large-scale energy consumption in the short term has increased the risk to the energy supply and ecological safety. This has contributed to the exploration and exploitation of energy supply risk management, carbon emission reduction, and renewable energy technological innovation, aiming to solve the bottlenecks in energy and environmental economics.

This Special Issue aims to present and disseminate the most recent advances related to the theory, design, modelling, and application of all types of energy and environmental economics.

Topics of interest for publication include, but are not limited to:

  • All aspects of energy and environmental economics;
  • Energy and environmental application in industries such as agriculture and tourism sector;
  • Energy supply chain management;
  • Energy economic risks;
  • Sustainable development;
  • Big-data analytics in energy economics;
  • Energy finance and investment;
  • Environmental governance;
  • Financing de-carbonization in cities or regions;
  • Pathways to carbon neutral;
  • Renewable energy technological innovation;
  • Energy efficiency and rebound effects.

Dr. Junpeng Zhu
Dr. Xinlong Xu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • energy economics
  • energy efficiency
  • energy risk
  • environment sustainable development
  • tourism carbon emission

Published Papers (4 papers)

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Research

Article
Measuring Pollution Control and Environmental Sustainable Development in China Based on Parallel DEA Method
Energies 2022, 15(15), 5697; https://doi.org/10.3390/en15155697 - 05 Aug 2022
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Abstract
The purpose of this study is to explore the impact of pollution control on industrial production efficiency in 31 provinces and cities in the Yellow River and Non-Yellow River basins in China from 2013 to 2017, using the methods of the directional distance [...] Read more.
The purpose of this study is to explore the impact of pollution control on industrial production efficiency in 31 provinces and cities in the Yellow River and Non-Yellow River basins in China from 2013 to 2017, using the methods of the directional distance function (hereinafter referred to as DDF) and the technology gap ratio (hereinafter referred to as TGR) in parallel, while taking the industrial production sector (labor force, total capital formation, energy consumption and industrial water consumption) and the pollution control sector (wastewater treatment funds and waste gas treatment funds) as input variables. Undesirable outputs (total wastewater discharge, lead, SO2 and smoke and dust in wastewater) and an ideal output variable (industrial output value) are taken as output variables. It is found that the total efficiency of DDF in the Non-Yellow River Basin is 0.9793, which is slightly better than 0.9688 in the Yellow River Basin. Among the 17 provinces and cities with a total efficiency of 1, only Shandong and Sichuan are located in the Yellow River Basin. The TGR values of 31 provinces, cities and administrative regions are less than 1, and the average TGR value of the Yellow River Basin is 0.3825, which is lower than the average TGR value of the Non-Yellow River Basin of 0.5234. We can start by improving the allocation of manpower and capital, implementing the use of pollution prevention and control funds, improving the technical level of industrial production, improving pollutant emission, and increasing output value to improve overall efficiency performance. This study uses the parallel method, taking the industrial production department and the pollution control department as inputs, to objectively evaluate the changes in industrial production efficiency and technology gap in the Yellow River and Non-Yellow River basins, which is conducive to mastering the situation of pollution control and industrial production efficiency, and provides the reference for SDG-6- and SDG-9-related policy making. Full article
(This article belongs to the Special Issue Available Energy and Environmental Economics)
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Article
A Hybrid Algorithm-Level Ensemble Model for Imbalanced Credit Default Prediction in the Energy Industry
Energies 2022, 15(14), 5206; https://doi.org/10.3390/en15145206 - 18 Jul 2022
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Abstract
Credit default prediction for the energy industry is essential to promoting the healthy development of the energy industry in China. While previous studies have constructed various credit default prediction models with brilliant performance, the class-imbalance problem in the credit default dataset cannot be [...] Read more.
Credit default prediction for the energy industry is essential to promoting the healthy development of the energy industry in China. While previous studies have constructed various credit default prediction models with brilliant performance, the class-imbalance problem in the credit default dataset cannot be ignored, where the numbers of credit default cases are usually much smaller than the number of non-default ones. To address the class-imbalance problem, we proposed a novel CT-XGBoost model, which adds to XGBoost with two algorithm-level methods for class imbalance, including the cost-sensitive strategy and threshold method. Based on the credit default dataset consisting of energy corporates in western China, which suffers from the class-imbalance problem, the CT-XGBoost model achieves better performance than the conventional models. The results indicate that the proposed model can efficiently alleviate the inherent class-imbalance problem in the credit default dataset. Moreover, we analyze how the prediction performance is influenced by different parameter settings in the cost-sensitive strategy and threshold method. This study can help market investors and regulators precisely assess the credit risk in the energy industry and provides theoretical guidance to solving the class-imbalance problem in credit default prediction. Full article
(This article belongs to the Special Issue Available Energy and Environmental Economics)
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Article
The Impacts of Resource Endowment, and Environmental Regulations on Sustainability—Empirical Evidence Based on Data from Renewable Energy Enterprises
Energies 2022, 15(13), 4678; https://doi.org/10.3390/en15134678 - 26 Jun 2022
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Abstract
In today’s socio-economic context where environmental protection and sustainable development are equally important, how renewable energy enterprises can achieve sustainable development has become a topic of academic interest in recent years. This paper investigates the link between sustainable growth (SG) of [...] Read more.
In today’s socio-economic context where environmental protection and sustainable development are equally important, how renewable energy enterprises can achieve sustainable development has become a topic of academic interest in recent years. This paper investigates the link between sustainable growth (SG) of renewable energy firms, resource endowment (RE), and environmental regulatory (ERs) issues through a fixed-effects model and a GMM model. Through empirical analysis, it was found that economical environmental regulations have the greatest positive impact on sustainable growth, followed by legal environmental regulations and supervised environmental regulations. Resource endowment is positively related to sustainable growth for non-state-owned renewable energy enterprises, but the negative impact on sustainable growth reflects the effect the of “resource curse”. In addition, resource endowment has a negative moderating effect on environmental regulations and sustainable growth. Thus, the most significant effect is on the relationship between economical environmental regulations and sustainable growth, followed by legal environmental regulations and supervised environmental regulations. Therefore, the flexible and concurrent application of multiple environmental policies is an important way to ensure effective regulations and promote sustainable business growth. Full article
(This article belongs to the Special Issue Available Energy and Environmental Economics)
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Article
Can the Relationship between Atmospheric Environmental Quality and Urban Industrial Structure Adjustment Achieve Green and Sustainable Development in China? A Case of Taiyuan City
Energies 2022, 15(9), 3402; https://doi.org/10.3390/en15093402 - 06 May 2022
Viewed by 352
Abstract
Atmospheric environmental quality affects the high quality and sustainable development of the economy. The optimisation and upgrading of the industrial system are important to improve the operation efficiency of the economy and society. Firstly, this paper constructs the theoretical analysis framework of coupling [...] Read more.
Atmospheric environmental quality affects the high quality and sustainable development of the economy. The optimisation and upgrading of the industrial system are important to improve the operation efficiency of the economy and society. Firstly, this paper constructs the theoretical analysis framework of coupling and coordination between the atmospheric environment system and the industrial system and analyses the internal mechanism of the interaction and coordinated development of the two systems. Then, it puts forward the combination of the coupling coordination model and the VAR model (Vector autoregressive model) and presents the analysis and evaluation method of the relationship between them from the two perspectives of “static” and “dynamic”. Finally, the empirical study is conducted in Taiyuan, a resource-based city in China. The results show that: (1) The two systems in Taiyuan have an obvious interaction and develop in the direction of benign coupling. (2) The impact of the two systems on each other is mainly in the medium and long term and dominated by the role of the atmospheric environment system on the industrial system. This study provides a theoretical framework and evaluation methods for evaluating and analysing the relationship between the urban atmospheric environment system and the industrial system in China, and then provides suggestions for policymaking. Full article
(This article belongs to the Special Issue Available Energy and Environmental Economics)
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