sustainability-logo

Journal Browser

Journal Browser

Sustainable Economic Intelligent Information Processing

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: 18 October 2025 | Viewed by 755

Special Issue Editor

School of Economics & Management, Fuzhou University, Fuzhou 350108, China
Interests: management decision-making and evaluation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the era of digitalization, the sustainable development of the economy and environment cannot be achieved without the support of information technology. However, information can be easily acquired from various sources and is available in many different forms, which include data, text, image, voice, and signals; furthermore, disparate information needs to be processed meticulously and intelligently for it to be useful. Therefore, intelligent information processing has become an important means to support making scientific decisions to achieve sustainable development.

This Special Issue seeks to bring together the work of scientists, practitioners, innovators, and entrepreneurs, offering valuable perspectives on research in sustainable economic intelligent information processing.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Intelligent information processing for sustainable economic development;
  • Intelligent information processing for a circular economy;
  • Intelligent information processing for green supply chains;
  • Intelligent information processing for energy economics;
  • Intelligent information processing for green production;
  • Intelligent information processing for safety, security and disaster management;
  • Intelligent information processing for a low-carbon economy;
  • Intelligent information processing for green innovation and knowledge management;
  • Intelligent information processing for climate change and economic development;
  • Intelligent information processing for economic decision making;
  • Intelligent information processing for an ecological economy.

We look forward to receiving your contributions.

Dr. Lei Chen
Guest Editor

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. Sustainability 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 2400 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
  • information processing
  • data analysis

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.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Published Papers (1 paper)

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

Research

26 pages, 3676 KiB  
Article
A New Endogenous Direction Selection Mechanism for the Direction Distance Function Method Applied to Different Economic–Environmental Development Modes
by Junchao Wang, Jun-Hong Ye and Lei Chen
Sustainability 2025, 17(7), 3151; https://doi.org/10.3390/su17073151 - 2 Apr 2025
Viewed by 193
Abstract
As a direction selection in the direction distance function (DDF), endogenous DDF can accurately reflect the numerical characteristics of inputs/outputs, but it is difficult to effectively popularize. And it is also difficult to effectively combine with reality. To solve those problems, this paper [...] Read more.
As a direction selection in the direction distance function (DDF), endogenous DDF can accurately reflect the numerical characteristics of inputs/outputs, but it is difficult to effectively popularize. And it is also difficult to effectively combine with reality. To solve those problems, this paper introduces slack variables to construct a new endogenous direction-setting mechanism, which makes the endogenous model have the conditions to be popularized. Based on the original endogenous DDF, we consider environmental concern, economic concern, coordinated development, and priority development, and then construct six new extended DDF models with slack variables. Based on priority development, we further propose six new extended DDF models. These new extended models can not only realize the complete internalization of direction determination but also overcome the limitations of traditional endogenous models. Combined with the actual case, the emission reduction potential of different areas is revealed, and the improved path is proposed. The results show that the new extended DDF models effectively reflect the different development modes of carbon emissions, and different development modes have a significant impact on emission reduction potential. In addition, compared with economic concern and priority development, coordinated development and environmental concern are most beneficial to carbon emission reduction, but the development mode of environmental concern can better reveal the improved path of environmental development. Full article
(This article belongs to the Special Issue Sustainable Economic Intelligent Information Processing)
Show Figures

Figure 1

Back to TopTop