energies-logo

Journal Browser

Journal Browser

Achieving Sustainable Development Goals through Energy and Financial Efficiency

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 October 2023) | Viewed by 6681

Special Issue Editors


E-Mail Website
Guest Editor
Indian Institute of Management Bodh Gaya, Bodh Gaya 824234, Bihar, India
Interests: energy economics; environmental economics; applied econometrics (linear and non-linear time series and panel data techniques); applied macroeconomics; open-economy; public finance; fiscal policy
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Indian Institute of Management Bodh Gaya, Bodh Gaya 824234, Bihar, India
Interests: energy economics and accounting; international financial reporting standards; intellectual reporting; green accounting; integrated reporting; corporate governance; accounting fraud; bankruptcy prediction; earnings managemet; forensic accounting accounting for government

Special Issue Information

Dear Colleagues,

The Sustainable Development Goals are the top priority at international forums nowadays to achieve a better, cleaner and more sustainable future for all. The same is not possible without access to sustainable energy access for all. Energy services have a strong impact on productivity, health, education, food and water security, and communication services. This can be attained by focusing on Energy and Environmental efficiency solutions supported by sustainable Financing. There is a need for implementing proper policies that promote sustainable economic and financial development.

Steps for accessing renewable sources of energy and adopting innovative technologies are to be encouraged to reduce pollution and energy emission around the world. Costing, market share and policy are the main constraints for the development of renewable energy. Through proper investing, planning and deploying financial resources can positively contribute to sustainable development.

This Special Issue welcomes contributions that support and advance the UN's Sustainable Development Goals linked to energy, economics and financial efficiency at the regional or national level. We invite original research and review papers related to the broader field of finance, economics, and sustainable energy. The aim of the Special Issue is to communicate the most interesting and relevant findings, solutions, innovative ideas, and technologies to support sustainable development in sustainable energy.

The Special Issue enecoreges submisison from two academic conference organised and hosted by Indian Institute of Management Bodhgaya, Gaya, Bihar, India. The first conference is on Sustainable Goals (ICSG 2022) and it is jointly organsed by CEENRG, University of Cambridge, UK. More details about this conference are available at: https://iimbg.ac.in/icsg-2022/. A second conference to be organised is on „Contemporary Issues in Emerging Markets Conference (CIEMC 2022)”. More details about the conference is available at: https://iimbg.ac.in/conference/. However, SI is open to all submissions.

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

  • Sustainable Asset Valuation
  • Environmental, Social and Governance (ESG) analysis
  • COP 26 target and COP27 projections
  • Carbon accounting and trading
  • Innovation for Sustainability
  • Carbon Tax
  • Sustainability reporting
  • Big Data Analytics and Blockchain
  • Innovative Sustainable Instruments
  • Role of Regulators
  • ESG investing
  • Sustainability Risk Management
  • Corporate Governance and Ethics in Sustainability
  • Sustainable practices through Green Bonds
  • ESG ratings and Assessment
  • Financing a Net-Zero Future
  • ESG and Performance
  • Natural Resource Extraction and Sustainable Economic Development
  • International Economic Integration and Environmental Sustainability
  • Resource Curse Hypothesis and Inclusive development
  • Green Economy and Sustainable Development
  • Energy Economics and Macroeconomic Stability
  • Role of Corporate Innovation and Political Institutions in achieving SDGs

Dr. Aviral Kumar Tiwari
Dr. Archana Patro
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 2600 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

  • sustainable development
  • energy efficiency
  • sustainability accounting
  • sustainable ESG
  • CO2 emissions
  • energy intensity
  • renewable energy
  • developing economies
  • United Nations Sustainability Development Goals (SDGs)
  • climate issues

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

22 pages, 1129 KiB  
Article
Maintenance and Exploitation of Electric, Hybrid, and Internal Combustion Vehicles
by Iwona Krzyżewska and Katarzyna Chruzik
Energies 2023, 16(23), 7842; https://doi.org/10.3390/en16237842 - 29 Nov 2023
Viewed by 2522
Abstract
This paper presents an analysis of the costs, failure rate, vulnerability, and safety of electric, hybrid, and internal combustion vehicles (EV, HEV, and ICEV), including a review of literature sources, calculations, and investigations. Many literature sources do not provide information on maintenance costs [...] Read more.
This paper presents an analysis of the costs, failure rate, vulnerability, and safety of electric, hybrid, and internal combustion vehicles (EV, HEV, and ICEV), including a review of literature sources, calculations, and investigations. Many literature sources do not provide information on maintenance costs (including repairs and servicing) and limit themselves to energy costs only. However, this cost is not the total cost of the maintenance of a vehicle. There is a lack of analysis of the difference between the maintenance and operating costs of vehicles. Similarly, vulnerability is difficult to determine in vehicles that are used for a short time in the market. The article presents an analysis of literature sources and industry reports on electromobility on maintenance costs, determines the failure rate, calculates vulnerability indices based on a survey, and carries out an expert risk assessment using the FMEA method. In the surveyed companies, the largest percentage of repairs are maintenance and service, mechanical, electrical and electronic, bodywork, and other repairs for each vehicle. Some of the most common faults in electric and hybrid vehicles are battery failures. The only hazard with a tolerable impact is the lack of sufficient data in the maintenance analysis. This risk can be mitigated in subsequent stages of product readiness once more data have been analysed. Full article
Show Figures

Figure 1

14 pages, 811 KiB  
Article
A Low-Level Virtual Machine Just-In-Time Prototype for Running an Energy-Saving Hardware-Aware Mapping Algorithm on C/C++ Applications That Use Pthreads
by Iulia Știrb and Gilbert-Rainer Gillich
Energies 2023, 16(19), 6781; https://doi.org/10.3390/en16196781 - 23 Sep 2023
Viewed by 1221
Abstract
Low-Level Virtual Machine (LLVM) compiler infrastructure is a useful tool for building just-in-time (JIT) compilers, besides its reliable front end represented by a clang compiler and its elaborated middle end containing different optimizations that improve the runtime performance. This paper specifically addresses the [...] Read more.
Low-Level Virtual Machine (LLVM) compiler infrastructure is a useful tool for building just-in-time (JIT) compilers, besides its reliable front end represented by a clang compiler and its elaborated middle end containing different optimizations that improve the runtime performance. This paper specifically addresses the part of building a JIT compiler using an LLVM with the scope of obtaining the hardware architecture details of the underlying machine such as the number of cores and the number of logical cores per processing unit and providing them to the NUMA-BTLP static thread classification algorithm and to the NUMA-BTDM static thread mapping algorithm. Afterwards, the hardware-aware algorithms are run using the JIT compiler within an optimization pass. The JIT compiler in this paper is designed to run on a parallel C/C++ application (which creates threads using Pthreads), before the first time the application is executed on a machine. To achieve this, the JIT compiler takes the native code of the application, obtains the corresponding LLVM IR (Intermediate Representation) for the native code and executes the hardware-aware thread classification and the thread mapping algorithms on the IR. The NUMA-Balanced Task and Loop Parallelism (NUMA-BTLP) and NUMA-Balanced Thread and Data Mapping (NUMA-BTDM) are expected to optimize the energy consumption by up to 15% on the NUMA systems. Full article
Show Figures

Figure 1

26 pages, 3489 KiB  
Article
Oil-Price Uncertainty and International Stock Returns: Dissecting Quantile-Based Predictability and Spillover Effects Using More than a Century of Data
by Mehmet Balcilar, Rangan Gupta and Christian Pierdzioch
Energies 2022, 15(22), 8436; https://doi.org/10.3390/en15228436 - 11 Nov 2022
Cited by 1 | Viewed by 1797
Abstract
We investigate whether oil-price uncertainty helps forecast the international stock returns of ten advanced and emerging countries. We consider an out-of-sample period of August 1925 to September 2021, with an in-sample period between August 1920 and July 1925, and employ a quantile-predictive-regression approach, [...] Read more.
We investigate whether oil-price uncertainty helps forecast the international stock returns of ten advanced and emerging countries. We consider an out-of-sample period of August 1925 to September 2021, with an in-sample period between August 1920 and July 1925, and employ a quantile-predictive-regression approach, which is more informative relative to a linear model, as it investigates the ability of oil-price uncertainty to forecast the entire conditional distribution of stock returns Based on a recursive estimation scheme, we draw the following main conclusions: the quantile-predictive-regression approach using oil-price uncertainty as a predictor statistically outperforms the corresponding quantile-based constant-mean model for all ten countries at certain quantiles (capturing normal, bear, and bull markets), and over specific forecast horizons, compared to forecastability being detected for eight countries under the linear predictive model. Importantly, we detect forecasting gains in many more horizons (at particular quantiles) compared to the linear case. In addition, an oil-price uncertainty-based state-contingent spillover analysis reveals that the ten equity markets are connected more tightly at the upper regime, suggesting that heightened oil-market volatility erodes the benefits from diversification across equity markets. Full article
Show Figures

Figure 1

Back to TopTop